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+# Changing Epidemiology of Methicillin-Resistant *Staphylococcus aureus* in 42 Hospitals in the Dutch-German Border Region, 2012 to 2016: Results of the Search-and-Follow Policy {#ch09-changing-epidemiology}
+
+Published in Eurosurveillance. 2019 Apr 11; 24(15): 180024
+
+Jurke A ^1^, Daniels-Haardt I ^2^, Silvis W ^3^, Berends MS ^4,5^, Glasner C ^5^, Becker K ^6^, Köck R ^6,7,8^, Friedrich AW ^5^
+
+1. North Rhine-Westphalian Centre for Health, Section Infectious Disease Epidemiology, Bochum, Germany
+2. North Rhine-Westphalian Centre for Health, Department Health Promotion, Health Protection, Bochum, Germany
+3. Laboratory for Medical Microbiology and Public Health (LabMicTA), Hengelo, Netherlands
+4. Certe Medical Diagnostics and Advice Foundation, Groningen, Netherlands
+5. University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, Netherlands
+6. University Hospital Münster, University of Münster, Institute of Medical Microbiology, Münster, Germany
+7. University Hospital Münster, University of Münster, Institute for Hygiene, Münster, Germany
+8. Institute of Hygiene, DRK Kliniken Berlin, Berlin, Germany
+
+## Abstract {-}
+
+Methicillin-resistant *Staphylococcus aureus* (MRSA) is a major cause of healthcare-associated infections. We describe MRSA colonisation/infection and bacteraemia rate trends in Dutch–German border region hospitals (NL–DE-BRH) in 2012–16. All 42 NL–DE BRH (8 NL-BRH, 34 DE-BRH) within the cross-border network EurSafety Health-net provided surveillance data (on average ca 620,000 annual hospital admissions, of these 68.0% in Germany). Guidelines defining risk for MRSA colonisation/infection were reviewed. MRSA-related parameters and healthcare utilisation indicators were derived. Medians over the study period were compared between NL- and DE-BRH. Measures for MRSA cases were similar in both countries, however defining patients at risk for MRSA differed. The rate of nasopharyngeal MRSA screening swabs was 14 times higher in DE-BRH than in NL-BRH (42.3 vs 3.0/100 inpatients; *p* < 0.0001). The MRSA incidence was over seven times higher in DE-BRH than in NL-BRH (1.04 vs 0.14/100 inpatients; *p* < 0.0001). The nosocomial MRSA incidence-density was higher in DE-BRH than in NL-BRH (0.09 vs 0.03/1,000 patient days; *p* = 0.0002) and decreased significantly in DE-BRH (*p* = 0.0184) during the study. The rate of MRSA isolates from blood per 100,000 patient days was almost six times higher in DE-BRH than in NL-BRH (1.55 vs 0.26; *p* = 0.0041). The patients had longer hospital stays in DE-BRH than in NL-BRH (6.8 vs 4.9; *p* < 0.0001). DE-BRH catchment area inhabitants appeared to be more frequently hospitalised than their Dutch counterparts. Ongoing IPC efforts allowed MRSA reduction in DE-BRH. Besides IPC, other local factors, including healthcare systems, could influence MRSA epidemiology.
+
+## Introduction
+
+Cross-border patient mobility is a priority in the European Union (EU), because the most accessible or appropriate care for citizens living in border regions may be available abroad. When, in 2013, the directive 2011/24/EU came into force, patients’ right to access healthcare in other Member States including reimbursement and medical follow-up in their respective home countries was entitled in an EU law for the first time. With this, cross-border cooperation in infection prevention and control (IPC) using comprehensive strategies is important ^[1]^.
+
+Antimicrobial resistant (AMR) pathogens are a serious threat to public health in Europe, leading to increased healthcare costs, treatment failure and deaths. For invasive bacterial infections, prompt treatment with effective antimicrobial agents is essential and is one of the most effective interventions to reduce the risk of fatal outcomes ^[2]^. Currently, the epidemiological situation is cause for concern especially with regard to AMR Gram-negative pathogens, e.g., characterised by carbapenem resistance (CR) ^[3]^. However, the Gram-positive methicillin-resistant *Staphylococcus aureus* (MRSA) is still one of the most important causes of healthcare-associated infections due to AMR pathogens ^[3]^.
+
+In 2017 in a consensus report of the European Centre for Disease Prevention and Control (ECDC), the European Food Safety Authority (EFSA) and the European Medicines Agency (EMA), the proportion of MRSA in invasive *S. aureus* infections was proposed as an indicator for surveillance of AMR pathogens in humans ^[4]^. Although in 2016 the proportion of MRSA in invasive *S. aureus* infections in Europe reached its lowest level (13.7%) since the ECDC first presented population-weighted data for the EU in 2009, large inter-country variations (1.2 to 50.5%) remain in Europe ^[3]^. For example, in the most populated German federal state, North Rhine-Westphalia (NRW), the incidence of MRSA bacteraemia per inhabitants was 32-fold higher compared with the Dutch neighbouring region with similar population size in 2009–10 ^[5]^.
+
+The occurrence of MRSA still necessitates continuous surveillance and preparedness to optimise IPC to further decrease MRSA rates ^[6-9]^. Since 1999, MRSA screening of various sites including at least nares, pharynx and wounds (if present) and additionally perineum or groin (in case of known previous carriage) before or at admission to hospitals is recommended in Germany, if patients have defined risk factors ^[10]^. For MRSA carriers IPC measures including isolation in single rooms, barrier precautions and decolonisation therapies are also recommended ^[10,11]^. Within the EU-funded community initiative INTERREG IIIA in 2006, all hospitals in the German Münsterland region, located directly at the Dutch–German border, started to establish a network to control MRSA – the EUREGIO MRSA net. They agreed to monitor the implementation of the IPC measures, harmonise local standards, exchange hospital utilisation data and MRSA data, perform molecular typing of MRSA isolates and establish regional benchmarks ^[12]^. This ‘search-and-follow’ strategy was inspired from the ‘search-and-destroy’ policy implemented in Dutch hospitals since the 1980s. It aimed to improve application of the German national MRSA recommendations, the regional cooperation between hospitals, other healthcare facilities and public health authorities, as well as to create a more robust MRSA surveillance system ^[9,12-14]^. Further to this strategy, screening for MRSA carriage among risk patients at hospital admission increased between 2009 and 2011 in these regional German hospitals and the nosocomial MRSA incidence density significantly decreased ^[15]^.
+
+The cross-border IPC network cooperation, i.e. the Dutch−German web-based communication portal for handling MRSA problems for healthcare workers, patients and the public was continued from 2009 to 2015 within the INTERREG IVA funded project EurSafety Health-net. This enabled hospitals and nursing homes to acquire Euregional Quality and Transparency certificates. Moreover, since 2016, the collaboration was further prolonged within the INTERREG VA funded project EurHealth-1Health inter alia. Within this, the Dutch signaling meeting of the Hospital-acquired Infection and Antimicrobial Resistance Monitoring Group (SO-ZI/AMR) occurs in the German study region.
+
+Here, we analysed 2012 to 2016 MRSA surveillance data from Dutch and German border region hospitals (NL-BRH and DE-BRH) in the network in order to describe temporal and spatial trends of MRSA rates and find differences between these groups of hospitals. We also used the data to calculate the MRSA rates per inpatient and per patient days in both groups of hospitals and the MRSA rates per inhabitants in the patient catchment areas of NL-BRH and DE-BRH respectively in order to compare the two groups in relation to these parameters.
+
+## Methods
+
+### Setting
+
+Within the EurSafety Health-net project (http://www.eursafety.eu/) the German part of the project region geographically comprised six districts in the Münsterland region (codes DEA33–35, DEA37, DEA38 and DE94B, level 3, according to the Nomenclature of Territorial Units for Statistics, NUTS ^[16]^) and was inhabited by ca 1.73 million people ^[17]^. The Dutch part comprised eight districts in the provinces of Groningen, Drenthe and in the region Twente-Achterhoek (codes NL111–113, NL131–133, NL213 and NL225) inhabited by ca 2.10 million people (Figure 1) ^[17]^. Initially, there were 42 hospitals located in the Dutch–German region (reduced in 2015 to 41 due to a structural merging of two DE-BRH) treating ca 620,000 admitted patients (68.0% in the German part of the study region) with ca 3,900,000 patient days per year. All 34 (since 2015, 33) regional DE-BRH (9.5% of hospitals in NRW in 2016) and all eight regional NL-BRH (8.8% of hospitals in the Netherlands in 2016) took part in the project. Among the DE-BRH, 29 were acute care hospitals, one was a university hospital, one was a rehabilitation clinic and three hospitals were specialised in psychiatry, while the NL-BRH comprised one university- and seven acute care hospitals.
+
+```{r fig9-1, fig.cap = "Location of the study region in the Netherlands and Germany, 2012-2016. The dark grey area represents the study region, including the Dutch regions East Groningen (NL111), Delfzijl and surroundings (NL112), rest of Groningen (NL113), North Drenthe (NL 131), South East Drenthe (NL132), South West Drenthe (NL133), Twente (NL213), Achterhoek (NL225), and the German regions Grafschaft Bentheim region (DE94B) and the Münsterland-region with the urban district Münster (DEA33) and the rural districts Borken (DEA34), Coesfeld (DEA35), Steinfurt (DEA37) and Warendorf (DEA38)."}
+insert_graphic("images/09-01.jpg")
+```
+
+### Guidelines for patients at risk for MRSA and infection prevention and control measures
+
+Both NL-BRH and DE-BRH implemented MRSA-related IPC measures according to their national guidelines and recommendations, issued by the Dutch Working Group on Infection Prevention (WIP) and the German Commission for Hospital Hygiene and Infection Prevention (KRINKO) at the Robert Koch-Institute, respectively ^[10,18]^. Of note, the definitions of whom to screen at admission differed for NL-BRH and DE-BRH based on the national guidelines and recommendations (Table 1), as well as screening sites (DE-BRH: at least nose, pharynx, throat and wounds, if present, additionally perineum and groin swab, when indicated; NL-BRH: nasal-, throat- and perineum or rectum swab plus additional cultures depending on clinical signs) ^[10,19]^. In all hospitals, positive screenings or any other detection of MRSA was followed by single room isolation, contact precautions and decolonisation, if applicable. Pre-emptive isolation of patients with MRSA risk factors was performed according to local guidelines (in DE-BRH only for patients with previous MRSA carriage, for NL-BRH see Table 1. 
+
+The levels of isolation for inpatients with risk categories were the following:
+
+* RMRSA: MRSA positive- or (RH) high-risk category patients in high-risk departments of the hospital (e.g., intensive care unit, haematology): single room isolation with contact- and airborne precautions.
+* RH: High-risk category patients who are not in high-risk departments and who have an MRSA screening result available within 24 hours of admission: single room with contact precautions.
+* RL: Low-risk category: no isolation, awaiting new MRSA screening test results.
+
+In both countries adherence to the MRSA-IPC guidelines- and recommendations was periodically checked by the responsible local public health authorities (Germany) and national health inspectorate (Netherlands). The implementation of other IPC measures in the participating hospitals, such as standards for the prevention of catheter-related bloodstream infections, was not planned or assessed within the project.
+
+<p class="tbl-caption">Table 1. Risk factors for MRSA carriage at admission according to Dutch and German MRSA guidelines, 2012–2016.</p>
+
+```{r tbl9-1}
+insert_graphic("images/09-t01.jpg")
+```
+
+### Data collection
+
+An MRSA case was defined as an inpatient who was colonised or infected with MRSA at admission or for nosocomial MRSA cases, after admission. A blood culture positive for MRSA, from a single inpatient and from a single hospital stay was qualified as MRSAB case. If an MRSA case, or MRSAB case, had several stays in a year, each hospital stay was counted as an MRSA case, or MRSAB case, in the surveillance.
+
+On both sides of the border, the collected surveillance data of inpatients (i.e. excluding outpatients) included the number of nasopharyngeal swabs performed for MRSA screening before or at admission, the numbers of MRSA cases (one isolate per patient per hospital stay) − in DE-BRH and in several NL-BRH MRSA cases were additionally classified as imported or nosocomial (i.e. nosocomial, if the case was detected ≥ 3 days after hospital admission unless the patient was a known MRSA carrier), the number of cases and the number of patient days. Additionally, in DE-BRH and in several NL-BRH the patient days of MRSA cases (i.e. the number of days, which an MRSA-positive patient spent in hospital) were also recorded. Moreover, the number of inpatients with a blood culture positive for MRSA (MRSAB, one isolate per patient case) and the number of *S. aureus* in blood cultures (one isolate per patient case) were assessed. The MRSA-surveillance data as described above were collected in all DE-BRH using a protocol adapted from the national German Nosocomial Infections Surveillance System (MRSA-KISS ^[20]^); see Supplement Table S1). For cross-border analysis, the laboratories serving for all NL-BRH provided retrospectively collected data for the period 2012 to 2016, according to the same protocol.
+
+### Ethical statement
+
+Ethical approval was asked from ethical committee at the University Medical Center Groningen (UMCG), and approval was not necessary for this study.
+
+### Data analysis
+
+We analysed the surveillance data of five years (2012–16) and calculated the following parameters: (i) screening rate (nasopharyngeal swabs for MRSA/100 inpatients), (ii) MRSA incidence (MRSA cases/100 inpatients), (iii) percentage of MRSA isolates per all *S. aureus* isolates detected in blood cultures, (iv) incidence density of MRSA isolates detected from blood cultures (MRSAB cases/100,000 patient days), (v) nosocomial MRSA incidence density (nosocomial MRSA-cases/1,000 patient days), (vi) length of stay in hospital (number of patient days/inpatients, (vii) length of stay in the hospital of MRSA cases (number of patient days of MRSA cases/MRSA cases). We calculated the mean annual numbers of inpatients per 100 inhabitants and of patient days per 100 inhabitants of the patient catchment area of NL-BRH and DE-BRH. Furthermore, we calculated the mean annual number of nasopharyngeal swabs performed for MRSA screening before or at admission to hospital per 100 inhabitants in the patient catchment area of the regional hospitals (DE-BR and NL-BR) as well as of inpatient MRSA cases per 1,000 inhabitants and the MRSAB/1,000,000 inhabitants using our surveillance data of inpatients (i.e., excluding outpatients). The number of inhabitants were assessed from the official statistical database ^[17]^.
+
+Time trends of MRSA parameters were analysed by Friedman tests. The percentage of nosocomial MRSA cases on all MRSA cases was assessed by Cochran–Armitage test of linear trend. The cross-border regional comparisons were analysed using Wilcoxon rank sum test. All statistical analyses were done using SAS 9.4 software (SAS Institute Inc., Cary, United States); *p* < 0.05 was considered significant. Results of significance tests were discarded if the software displayed an alert due to more than 10% of missing values in the respective dataset. The map was made using RegioGraph10 (GFK Geomarketing GmbH, Bruchsal, Germany).
+
+## Results
+
+### Trend and cross-border comparison of MRSA rates
+
+The total numbers of MRSA cases (detected in DE-BRH and NL-BRH are shown in Table 2. In both DE-BRH and NL-BRH the median nasopharyngeal MRSA screening rate increased significantly between 2012 and 2016 (Table 3). Overall, the median screening rate was 14 times higher in DE-BRH than in NL-BRH (*p* < 0.0001, Table 4).
+
+<p class="tbl-caption">Table 2. Numbers of methicillin-resistant *Staphylococcus aureus* cases documented in all study hospitals in the German region of Münsterland and the Dutch regions of Twente-Achterhoek, Drenthe and Groningen, 2012–2016 (n = 42 hospitals) ^a.^ </p>
+
+```{r tbl9-2}
+insert_graphic("images/09-t02.jpg")
+```
+
+<p class="tbl-caption">Table 3. Annual medians of methicillin-resistant *Staphylococcus aureus* parameters in all study hospitals in the German region Münsterland and the Dutch regions of Twente-Achterhoek, Drenthe and Groningen, 2012–2016 (n = 42 hospitals) ^a.^</p>
+
+```{r tbl9-3}
+insert_graphic("images/09-t03.jpg")
+```
+
+<p class="tbl-caption">Table 4. Methicillin-resistant *Staphylococcus aureus* parameters in all study hospitals in the German region of Münsterland and the Dutch regions of Twente-Achterhoek, Drenthe and Groningen, 2012–2016 (n = 42 hospitals) ^a.^</p>
+
+```{r tbl9-4}
+insert_graphic("images/09-t04.jpg")
+```
+
+The median MRSA incidence remained stable over time at both sides of the border (Table 3), but was more than seven times higher in DE-BRH than in NL-BRH (*p* < 0.0001) (Table 4). The median percentage of MRSA in *S. aureus* blood culture isolates decreased from 12.5% in 2012 to 5.0% in 2016 in DE-BRH (*p* = 0.0959), while it remained stable in NL-BRH (*p* = 0.1679) (Table 3), but was more than 34 times higher in DE-BRH (*p* = 0.0001) (Table 4). The median of MRSAB per 100,000 patient days remained stable over time in DE-BRH (*p* = 0.4272) and NL-BRH (*p* = 0.0620) (Table 3) and was six-fold greater in DE-BRH than in NL BRH (*p* = 0.0041) (Table 4). The percentages of nosocomial cases on all MRSA cases (Table 2) decreased significantly in DE-BRH (*p* < 0.0001), but did not change in NL-BRH (*p* < 0.6474). Over the study period the median nosocomial MRSA incidence-density decreased significantly in DE-BRH (*p* = 0.0184) (Table 3), but did not change in NL-BRH (*p* = 0.3532) and was approximately three times higher in DE-BRH than in NL-BRH (*p* = 0.0002) (Table 4).
+
+### Cross-border comparison of healthcare utilisation
+
+We compared the available data on healthcare utilisation in DE-BRH and NL-BRH. The median length of stay (LOS) in the hospital was 6.8 days in DE-BRH compared with 4.9 days in NL-BRH (*p* < 0.0001) (Table 4); LOS of MRSA patients was similar in DE-BRH vs NL-BRH (11.1 days vs 11.7 days; *p* = 0.8774) (Table 4). The hospitalisation rate was 24.3 inpatients/100 inhabitants annually in the patient catchment area of DE-BRH, almost thrice the rate in the NL-BRH’s catchment area (9.27/100). To put this difference in healthcare utilisation into context, we calculated the mean annual number of nasopharyngeal MRSA screening swabs before or at admission to hospital per 100 inhabitants in the German border region (DE-BR) vs the Dutch border region (NL-BR) (12.2 vs 0.36). Additionally, we compared the MRSA surveillance data of inpatients (i.e., excluding outpatients) in the patient catchment area of DE-BRH and NL-BRH. The calculated numbers of inpatient MRSA cases per 1,000 inhabitants in DE-BR and NL-BR were 2.52 vs. 0.14. Furthermore, the calculated MRSAB/1,000,000 inhabitants in DE-BR and NL-BR was 38.4 vs 4.09 (Table 5).
+
+<p class="tbl-caption">Table 5. Calculated parameters in the patient catchment area of all study hospitals in the German region of Münsterland and Dutch regions of Twente-Achterhoek, Drenthe and Groningen, 2012–2016 (n = 42 hospitals) ^a.^</p>
+
+```{r tbl9-5}
+insert_graphic("images/09-t05.jpg")
+```
+
+## Discussion
+
+As patients in the EU have the right to healthcare across the borders of Member States (EU directive 2011/24/EU), it is of interest to compare the quality of care, safety standards and risks of nosocomial infection by AMR pathogens between EU countries. In this respect, the cross-border systematic and continuous MRSA surveillance is one of the cornerstones to ensure equal quality of healthcare ^[21]^.
+
+Our study revealed significant differences between Dutch and German hospitals (Table 4). The median MRSA-incidence in DE-BRH was more than seven times higher compared with NL-BRH. We also found that the median MRSA percentage of *S. aureus* detected in blood cultures was more than 34 times higher in DE-BRH than in NL-BRH (Table 4). The incidence density of MRSAB was six times higher in DE-BRH (Table 4) and there were nine times more MRSAB per 1,000,000 inhabitants for the patient catchment area of DE-BRH compared with NL-BRH (Table 5).
+
+According to the ECDC, differences in the occurrence of AMR pathogens between European countries are most likely caused by differences in healthcare utilisation, antimicrobial use and IPC practices ^[3]^.
+
+Concerning healthcare utilisation in our context, we found that inhabitants in the German part of the study region were almost three times as often hospitalised (Table 5) and had a significantly longer LOS than patients on the Dutch part (Table 4). This may be due to socioeconomic factors or a different organisation of ambulatory healthcare.
+
+While antimicrobial consumption was not the focus of the current study, NRW has been reported as the region in Germany with the highest antimicrobial consumption in outpatients (19.2 daily defined doses (DDD/1,000 inhabitants) ^[22]^. In this respect, the MRSA incidence in DE-BRH was slightly above the incidences in German hospitals participating in the nationwide surveillance system MRSA-KISS ^[20]^. The antimicrobial consumption level in NRW seems to be also considerably higher than in the Netherlands (10.39 DDD/1,000 inhabitants) ^[23]^, not only in terms of total antibiotics consumed, but also for the oral use of second-generation cephalosporins. Promoting rational regional antibiotic use is therefore one of the major goals in the INTERREG VA project EurHealth-1Health (http://www.eurhealth-1health.eu/).
+
+For MRSA IPC, the recommendations in Germany and the corresponding guidelines in the Netherlands were comparable regarding the measures performed for MRSA carriers ^[10,18]^. However, there were differences between the two countries in identifying people at risk of MRSA infection/colonisation ^[10,18]^. In this study, we found that the DE-BRH performed 14 times more nasopharyngeal screening swabs for MRSA than their Dutch counterparts.
+
+The higher screening rates on the German side of the border may be ascribed to the fact that in German IPC recommendations, previous hospitalisation in Germany is a risk factor for MRSA carriage. This constitutes a main difference in defined risk factors between Dutch- and German MRSA IPC guidelines, whereby Dutch guidelines mostly consider screening for patients previously hospitalised outside the Netherlands (Tables 1 and and3)3) ^[14,24]^. In this respect, we observed that although the densities of nosocomial MRSA cases were lower in NL-BRH than in DE-BRH (Table 3), the proportion of nosocomial MRSA cases among all MRSA detected was slightly higher in the Dutch hospitals (Table 2). The reason for this remains unclear, but it might be speculated that a larger proportion of MRSA carriers in the Netherlands had no risk factors for MRSA and were hence not screened at admission.
+
+Another explanation for screening rate differences between the two countries may be distinct underlying epidemiological situations regarding MRSA. For example, the MRSA prevalence is higher in the population in Germany than that in patients at hospital admission in the Netherlands (0.7% vs. 0.13%) ^[25,26]^. Moreover, in the German part of the study region, a possible additional MRSA burden due to the exceptionally frequent occurrence of livestock-associated MRSA might have an effect ^[27,28]^.
+
+The screening and IPC measures in the DE-BRH appeared to be nevertheless appropriate. In 2006, in the project region excluding Groningen and Drenthe (Figure), investigations evaluating the numbers of patients with MRSA risk factors at admission to German hospitals demonstrated that ca 35.6% of patients had a risk factor requiring screening ^[29]^. A corresponding level of screening was implemented by DE-BRH during the study period 2009–11 ^[15]^. This level remained high in the 2012–16 period (Table 3), indicating a very good implementation of the screening standards.
+
+About 1% of all patients admitted in DE-BRH carried MRSA, which corresponds well to results of investigations evaluating the prevalence of MRSA carriage in the regional general, non-hospitalised population in 2012 ^[25]^. In terms of difference with the Netherlands, this has for consequence that it is more expensive to provide isolation capacities for ca 1.0% of inpatients with MRSA in DE-BRH vs 0.15% in NL-BRH. Moreover, the higher MRSA incidence in DE-BRH could lead to a higher probability for nosocomial MRSA cases as they are not completely avoidable ^[30-32]^.
+
+From 2012 to 2016 however, the nosocomial MRSA incidence density in DE-BRH decreased significantly, a trend already observed from 2009 to 2011 ^[15]^. Moreover, the nosocomial MRSA incidence density (Table 3) appeared to be below the densities reported for hospitals participating in the nationwide surveillance system MRSA-KISS (median nosocomial MRSA cases per 1,000 patient days in DE-BRH/MRSA KISS, 2012–16: 0.11/0.14, 0.09/0.12, 0.09/0.10, 0.08/0.09, 0.07/0.08) ^[15,20]^. This may indicate the successful implementation of concerted IPC standards in DE-BRH in the EurSafety Health-net network ^[15]^.
+
+We also observed for that the difference of the incidence of MRSA bacteraemia per inhabitants between the German and Dutch border region (38.4 vs 4.09 per 1,000,000) was apparently smaller than calculated in a previous study, which used 2009 Dutch and 2010 German data respectively to derive the difference between NRW and the Netherlands (57.6 vs 1.8 per 1,000,000) ^[5]^. In addition, according to the population-based German mandatory notification system for invasive MRSA infections (SurvStat) from 2012 to 2016, 40.7 MRSA isolates were detected in blood or cerebrospinal fluid per 1,000,000 inhabitants in the German project region ^[33]^, which is lower compared with data from the federal state of NRW (70.3 per 1,000,000 inhabitants) as well as from Germany (47.9 per 1,000,000 inhabitants) ^[34]^.
+
+Comparing our results with those of other German laboratories participating in a voluntary, national surveillance system (ARS) ^[35]^, revealed that, for each year of the period 2012–16 the median percentage of MRSA in *S. aureus* from blood cultures was lower in DE-BRH than in other laboratories in western Germany (DE-BRH/ARS-region west (NRW), 2012–16: 12.5%/19.0%, 14.3%/15.0%, 10.5%/13.5%, 9.8%/13.3%, 5.0%/12.0%) (Table 3), as well as below the middle lower range of the EU/European Economic Association (EEA) population-weighted mean between 18.8% in 2012 and 13.7% in 2016 ^[3,34,36]^.
+
+In contrast, the mean MRSA percentage of *S. aureus* detected in blood culture during 2012–16 was higher (1.5% vs 1.3%) in NL-BRH compared with Dutch national data of Infectious Disease Surveillance Information System for Antibiotic Resistance, (ISIS-AR) covering data of 52% of diagnostic laboratories ^[37]^.
+
+As typical for all passive surveillance systems, bias due to differences in reporting behaviour cannot be excluded and is a limitation of this study. However, as MRSA surveillance in DE-BRH started in 2007, a stabilised compliance in reporting can be assumed for the period from 2012–16. The higher number of MRSA cases per inhabitants on the German side compared with the Netherlands is biased if there is more than one episode of MRSA detection per year for one individual patient among the number of cases. Also, the inclusion of three psychiatric hospitals and one rehabilitation clinic, which have usually longer average lengths of stay, may have prolonged hospital stay in the DE-BRH. However, the data are in accordance with German-wide assessment systems. The clinical relevance of MRSA isolates detected in blood cultures is undisputable, but variations in blood culture diagnostics (e.g., frequency, performance) may result in bias when comparing MRSA percentages of *S. aureus* blood culture isolates between different countries ^[38]^. A limitation of the study design is that the implementation of IPC standards, which are not directly targeted to control MRSA, such as bundles to prevent central-line-associated bloodstream infections (CLABSI), was not assessed and compared in the participating hospitals. Hence, changes of the incidence of MRSA bacteraemia could also be attributable to improvements in CLABSI prevention or other IPC standards.
+
+This study on MRSA covering all hospitals across part of a European border as well as hospitals of all three care-categories demonstrated that routine MRSA surveillance may be helpful to monitor trends of MRSA parameters, to compare the MRSA rates and to indicate needs for further improvement to reach low MRSA rates EU-wide. Our results supplement the European and national surveillance systems. Ongoing efforts in MRSA prevention are recommended, including all healthcare sectors, especially with focus on One Health ^[39-42]^. Moreover, cross-border surveillance should be extended to other multidrug-resistant organisms, such as CR *Enterobacteriaceae* in the future.
+
+## Acknowledgements {-}
+
+We acknowledge all the active participants of the EurSafety Health-net and EurHealth-1Health projects: The infection control nurses and the physicians responsible for infection control of the 42 participating hospitals, as well as the staff of the regional laboratories participating in the project. We thank the project representatives appointed by the public health offices in the EUREGIO, especially Ms. Scherwinski and Ms. Winkler (both Borken), Dr. Toepper (Coesfeld), Dr. Bierbaum and Dr. Lürwer (both Münster), Dr. Schmeer and Ms. Suhr (both Steinfurt), Dr. König and Ms. Clemens (Warendorf). Furthermore, we thank Ms. Schmidt, Ms. Lunemann, Ms. Jessen and Ms. Ganser (NRW Centre for Health) and Dr. Gunnar Andriesse from Certe in Groningen for their support.
+
+## Funding {-}
+
+The EurSafety Health-Net project was financially supported by external funding within the INTERREG IVA program ‘Germany-Netherlands’ of the EU (EurSafety Health-net: INTERREG IVA III-1-01=073), by the German states of NRW and Lower Saxony and by the Dutch provinces Overijssel, Gelderland and Limburg. The EurHealth-1Health project is implemented within the framework of the INTERREG VA ‘Germany-Netherlands’ program (grant number EU/INTERREG VA-202085) and is co-financed by the European Union, the Dutch Ministry of Health, Welfare and Sport (VWS), the Ministry of Economy, Innovation, Digitalisation and Energy of the German Federal State North Rhine-Westphalia and by the German Federal State Lower Saxony.
+
+## References {-}
+
+1. Poljak M, Akova M, Friedrich AW, Rodríguez-Baño J, Sanguinetti M, Tacconelli E, *et al.* ESCMID-an international Europe-based society committed to fostering cross-border collaboration and education to improve patient care. Clin Microbiol Infect. 2018;24(1):1-2. 10.1016/j.cmi.2017.05.024
+2. Cassini A, Högberg LD, Plachouras D, Quattrocchi A, Hoxha A, Simonsen GS, *et al.* Attributable deaths and disability-adjusted life-years caused by infections with antibiotic-resistant bacteria in the EU and the European Economic Area in 2015: a population-level modelling analysis. Lancet Infect Dis. 2019;19(1):56-66. 10.1016/S1473-3099(18)30605-4
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+13. Ciccolini M, Donker T, Köck R, Mielke M, Hendrix R, Jurke A, *et al.* Infection prevention in a connected world: the case for a regional approach. Int J Med Microbiol. 2013;303(6-7):380-7. 10.1016/j.ijmm.2013.02.003
+14. Souverein D, Houtman P, Euser SM, Herpers BL, Kluytmans J, Den Boer JW. Costs and Benefits Associated with the MRSA Search and Destroy Policy in a Hospital in the Region Kennemerland, The Netherlands. PLoS One. 2016;11(2):e0148175. 10.1371/journal.pone.0148175
+15. Jurke A, Köck R, Becker K, Thole S, Hendrix R, Rossen J, *et al.* Reduction of the nosocomial meticillin-resistant *Staphylococcus aureus* incidence density by a region-wide search and follow-strategy in forty German hospitals of the EUREGIO, 2009 to 2011. Euro Surveill. 2013;18(36):20579. 10.2807/1560-7917.ES2013.18.36.20579
+16. Eurostat. Nomenclature of territorial units for statistics (NUTS); National structures (EU). Eurostat; 2018. Available from: https://ec.europa.eu/eurostat/web/nuts/national-structures-eu
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+19. Nederlandse Vereniging voor Medische Microbiologie (NVMM). NVvMM —richtlijn [Dutch Society for Medical Microbiology—Guideline: Laboratory detection of highly resistant microorganisms (HRMO) version 2.0]. Leeuwarden; NVMM; 2012. [Accessed 03 Feb 2019]. Available from: https://www.nvmm.nl/media/1051/2012_hrmo_mrsa_esbl.pdf.
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+27. Köck R, Schaumburg F, Mellmann A, Köksal M, Jurke A, Becker K, *et al.* Livestock-associated methicillin-resistant *Staphylococcus aureus* (MRSA) as causes of human infection and colonization in Germany. PLoS One. 2013;8(2):e55040. 10.1371/journal.pone.0055040
+28. Schaumburg F, Köck R, Mellmann A, Richter L, Hasenberg F, Kriegeskorte A, *et al.* study group Population dynamics among methicillin-resistant *Staphylococcus aureus* isolates in Germany during a 6-year period. J Clin Microbiol. 2012;50(10):3186-92. 10.1128/JCM.01174-12
+29. Köck R, Brakensiek L, Mellmann A, Kipp F, Henderikx M, Harmsen D, *et al.* Cross-border comparison of the admission prevalence and clonal structure of meticillin-resistant *Staphylococcus aureus*. J Hosp Infect. 2009;71(4):320-6. 10.1016/j.jhin.2008.12.001
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+32. Pronovost P, Needham D, Berenholtz S, Sinopoli D, Chu H, Cosgrove S, *et al.* An intervention to decrease catheter-related bloodstream infections in the ICU. N Engl J Med. 2006;355(26):2725-32. 10.1056/NEJMoa061115
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+34. Walter J, Haller S, Blank HP, Eckmanns T, Abu Sin M, Hermes J. Incidence of invasive meticillin-resistant *Staphylococcus aureus* infections in Germany, 2010 to 2014. Euro Surveill. 2015;20(46):30067. 10.2807/1560-7917.ES.2015.20.46.30067
+35. Robert-Koch-Institute. Antimicrobial Resistance Surveillance (ARS, Germany). [Accessed 03 Feb 2019]. Available from: https://ars.rki.de
+36. Olearo F, Albrich WC, Vernaz N, Harbarth S, Kronenberg A, Swiss Centre For Antibiotic Resistance Anresis *Staphylococcus aureus* and methicillin resistance in Switzerland: regional differences and trends from 2004 to 2014. Swiss Med Wkly. 2016;146:w14339. 10.4414/smw.2016.14339
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+39. Köck R, Kreienbrock L, van Duijkeren E, Schwarz S. Antimicrobial resistance at the interface of human and veterinary medicine. Vet Microbiol. 2017;200:1-5. 10.1016/j.vetmic.2016.11.013
+40. Maier GS, Thorey F, Kolbow K, Lazovic D, Lühmann M, Ohnsorge J, *et al.* Livestock-assoziierter Methicillin-resistenter *Staphylococcus aureus* – Erhebung einer orthopädischen Fachklinik im Hochrisikogebiet Nord-West. [Livestock-Associated Methicillin-Resistant *Staphylococcus aureus*: Epidemiological Data from an Orthopaedic Department in North-West Germany]. Z Orthop Unfall. 2017;155(3):304-9.
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+42. Paget J, Aangenend H, Kühn M, Hautvast J, van Oorschot D, Olde Loohuis A, *et al.* MRSA Carriage in Community Outpatients: A Cross-Sectional Prevalence Study in a High-Density Livestock Farming Area along the Dutch-German Border. PLoS One. 2015;10(11):e0139589. 10.1371/journal.pone.0139589

docs/a_new_instrument_for_microbial_epidemiology.tex

@@ -2888,7 +2888,8 @@ Köck R \textsuperscript{1,2,3}, Siemer P \textsuperscript{4}, Esser J \textsupe
 \end{enumerate}
 
 \hypertarget{abstract-6}{%
-\section{Abstract}\label{abstract-6}}
+\section*{Abstract}\label{abstract-6}}
+\addcontentsline{toc}{section}{Abstract}
 
 Preventing the spread of multidrug-resistant Gram-negative bacteria (MDRGNB) is a public health priority. However, the definition of MDRGNB applied for planning infection prevention measures such as barrier precautions differs depending on national guidelines. This is particularly relevant in the Dutch-German border region, where patients are transferred between healthcare facilities located in the two different countries, because clinicians and infection control personnel must understand antibiograms indicating MDRGNB from both sides of the border and using both national guidelines. This retrospective study aimed to compare antibiograms of Gram-negative bacteria and classify them using the Dutch and German national standards for MDRGNB definition. A total of 31,787 antibiograms from six Dutch and four German hospitals were classified. Overall, 73.7\% were no MDRGNB according to both guidelines. According to the Dutch and German guideline, 7772/31,787 (24.5\%) and 4586/31,787 (12.9\%) were MDRGNB, respectively (\emph{p} \textless{} 0.0001). Major divergent classifications were observed for extended-spectrum β-lactamase (ESBL) producing \emph{Enterobacteriaceae}, non-carbapenemase-producing carbapenem-resistant \emph{Enterobacteriaceae}, \emph{Pseudomonas aeruginosa} and \emph{Stenotrophomonas maltophilia}. The observed differences show that medical staff must carefully check previous diagnostic findings when patients are transferred across the Dutch-German border, as it cannot be assumed that MDRGNB requiring special hygiene precautions are marked in the transferred antibiograms in accordance with both national guidelines.
 
@@ -2996,12 +2997,14 @@ Overall, the Dutch guideline makes it more laborious for a microbiological labor
 When comparing the Dutch and the German classification systems for MDRGNB (Table 4), we found very divergent results. The bulk of isolates, which were classified differently, were \emph{E. coli} and \emph{Klebsiella} isolates characterised by ESBL-production, but being susceptible to fluoroquinolones. In German hospitals, no other than basic hygiene measures are taken for patients colonised or infected with these strains. This can be criticised, because spread of ESBL-producers might increase carbapenem use. Moreover, ESBLs are usually encoded on plasmids, which can be transferred independently from the bacterial clone even to other bacterial species. However, recent investigations have shown, that clonal spread of ESBL-\emph{E. coli} in healthcare settings is rarely observed \textsuperscript{{[}8,9{]}}. A second reason for divergent classifications was that the Dutch guideline uses combined fluoroquinolone and aminoglycoside resistance as a criterion for multidrug resistance. Aminoglycosides are not considered in the German guideline, maybe due to their limited and decreasing use in German hospitals compared with the Netherlands (\textless0.5 vs.~3.7 daily defined doses (DDD)/100 patient-days) \textsuperscript{{[}10,11{]}}. Thirdly, major differences were also found for \emph{P. aeruginosa}. Many of the very broadly resistant \emph{P. aeruginosa} isolates, for which colistin, tobramycin, or new β-lactams (such as ceftolozane/tazobactam) were the only remaining treatment options, were not classified as MDRGNB by the Dutch guideline, because VIM-carbapenemases were not detected. In this context, we clearly overestimated the disagreement between the Dutch and German guideline (Table 4), because we considered all 1,107 carbapenem-resistant \emph{P. aeruginosa} isolates (of 5,058 not classified as BRMO) as VIM-negative. This is not probable as it is well known that in Germany up to 24\% of carbapenem-resistant \emph{P. aeruginosa} isolates harbour carbapenemases among which VIM is predominant \textsuperscript{{[}12{]}}. This points towards a major limitation of this study. Since the analysis was not prospectively planned, we had to cope with missing data. Of course, excluding 3,832 antibiograms (which is \textgreater10\% of the antibiograms collected in the participating hospitals) due to a lack of information about phenotypic ESBL-test results for non-\emph{E. coli}/non-\emph{Klebsiella} isolates might have caused significant impact on the results. However, the total numbers \emph{Enterobacter}, \emph{Citrobacter}, or \emph{Hafnia} isolates included from both sides of the border was comparable. Overall, the results of this study demonstrate that in contrast to other multidrug-resistant bacteria such as methicillin-resistant \emph{Staphylococcus aureus} or vancomycin-resistant enterococci, those resistance pheno- or genotypes that define Gram-negative bacteria as MDRGNB markedly differ between the Netherlands and Germany. For cross-border care, the easiest solution would be to harmonise the classification rules of both countries. As long as this is not done, the full antibiogram data of Gram-negative bacteria should be transferred together with the patient in order to enable classification by local infection control staff.
 
 \hypertarget{acknowledgements-3}{%
-\section{Acknowledgements}\label{acknowledgements-3}}
+\section*{Acknowledgements}\label{acknowledgements-3}}
+\addcontentsline{toc}{section}{Acknowledgements}
 
 This study was supported by the INTERREG V A (202085) funded project EurHealth-1Health, part of a Dutch-German cross-border network supported by the European Commission, the Dutch Ministry of Health, Welfare and Sport (VWS), the Ministry of Economy, Innovation, Digitalisation and Energy of the German Federal State of North Rhine-Westphalia and the German Federal State of Lower Saxony.
 
 \hypertarget{conflicts-of-interest}{%
-\section{Conflicts of interest}\label{conflicts-of-interest}}
+\section*{Conflicts of interest}\label{conflicts-of-interest}}
+\addcontentsline{toc}{section}{Conflicts of interest}
 
 The authors declare no conflict of interest. The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
 
@@ -3038,6 +3041,315 @@ The authors declare no conflict of interest. The founding sponsors had no role i
   Kaase, M. Bericht des Nationalen Referenzzentrums (NRZ) für gramnegative Krankenhauserreger. Epidemiol. Bull. 2016, 2, 11--14.
 \end{enumerate}
 
+\hypertarget{ch09-changing-epidemiology}{%
+\chapter{\texorpdfstring{Changing Epidemiology of Methicillin-Resistant \emph{Staphylococcus aureus} in 42 Hospitals in the Dutch-German Border Region, 2012 to 2016: Results of the Search-and-Follow Policy}{Changing Epidemiology of Methicillin-Resistant Staphylococcus aureus in 42 Hospitals in the Dutch-German Border Region, 2012 to 2016: Results of the Search-and-Follow Policy}}\label{ch09-changing-epidemiology}}
+
+Published in Eurosurveillance. 2019 Apr 11; 24(15): 180024
+
+Jurke A \textsuperscript{1}, Daniels-Haardt I \textsuperscript{2}, Silvis W \textsuperscript{3}, Berends MS \textsuperscript{4,5}, Glasner C \textsuperscript{5}, Becker K \textsuperscript{6}, Köck R \textsuperscript{6,7,8}, Friedrich AW \textsuperscript{5}
+
+\begin{enumerate}
+\def\labelenumi{\arabic{enumi}.}
+\tightlist
+\item
+  North Rhine-Westphalian Centre for Health, Section Infectious Disease Epidemiology, Bochum, Germany
+\item
+  North Rhine-Westphalian Centre for Health, Department Health Promotion, Health Protection, Bochum, Germany
+\item
+  Laboratory for Medical Microbiology and Public Health (LabMicTA), Hengelo, Netherlands
+\item
+  Certe Medical Diagnostics and Advice Foundation, Groningen, Netherlands
+\item
+  University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, Netherlands
+\item
+  University Hospital Münster, University of Münster, Institute of Medical Microbiology, Münster, Germany
+\item
+  University Hospital Münster, University of Münster, Institute for Hygiene, Münster, Germany
+\item
+  Institute of Hygiene, DRK Kliniken Berlin, Berlin, Germany
+\end{enumerate}
+
+\hypertarget{abstract-7}{%
+\section*{Abstract}\label{abstract-7}}
+\addcontentsline{toc}{section}{Abstract}
+
+Methicillin-resistant \emph{Staphylococcus aureus} (MRSA) is a major cause of healthcare-associated infections. We describe MRSA colonisation/infection and bacteraemia rate trends in Dutch--German border region hospitals (NL--DE-BRH) in 2012--16. All 42 NL--DE BRH (8 NL-BRH, 34 DE-BRH) within the cross-border network EurSafety Health-net provided surveillance data (on average ca 620,000 annual hospital admissions, of these 68.0\% in Germany). Guidelines defining risk for MRSA colonisation/infection were reviewed. MRSA-related parameters and healthcare utilisation indicators were derived. Medians over the study period were compared between NL- and DE-BRH. Measures for MRSA cases were similar in both countries, however defining patients at risk for MRSA differed. The rate of nasopharyngeal MRSA screening swabs was 14 times higher in DE-BRH than in NL-BRH (42.3 vs 3.0/100 inpatients; \emph{p} \textless{} 0.0001). The MRSA incidence was over seven times higher in DE-BRH than in NL-BRH (1.04 vs 0.14/100 inpatients; \emph{p} \textless{} 0.0001). The nosocomial MRSA incidence-density was higher in DE-BRH than in NL-BRH (0.09 vs 0.03/1,000 patient days; \emph{p} = 0.0002) and decreased significantly in DE-BRH (\emph{p} = 0.0184) during the study. The rate of MRSA isolates from blood per 100,000 patient days was almost six times higher in DE-BRH than in NL-BRH (1.55 vs 0.26; \emph{p} = 0.0041). The patients had longer hospital stays in DE-BRH than in NL-BRH (6.8 vs 4.9; \emph{p} \textless{} 0.0001). DE-BRH catchment area inhabitants appeared to be more frequently hospitalised than their Dutch counterparts. Ongoing IPC efforts allowed MRSA reduction in DE-BRH. Besides IPC, other local factors, including healthcare systems, could influence MRSA epidemiology.
+
+\hypertarget{introduction-6}{%
+\section{Introduction}\label{introduction-6}}
+
+Cross-border patient mobility is a priority in the European Union (EU), because the most accessible or appropriate care for citizens living in border regions may be available abroad. When, in 2013, the directive 2011/24/EU came into force, patients' right to access healthcare in other Member States including reimbursement and medical follow-up in their respective home countries was entitled in an EU law for the first time. With this, cross-border cooperation in infection prevention and control (IPC) using comprehensive strategies is important \textsuperscript{{[}1{]}}.
+
+Antimicrobial resistant (AMR) pathogens are a serious threat to public health in Europe, leading to increased healthcare costs, treatment failure and deaths. For invasive bacterial infections, prompt treatment with effective antimicrobial agents is essential and is one of the most effective interventions to reduce the risk of fatal outcomes \textsuperscript{{[}2{]}}. Currently, the epidemiological situation is cause for concern especially with regard to AMR Gram-negative pathogens, e.g., characterised by carbapenem resistance (CR) \textsuperscript{{[}3{]}}. However, the Gram-positive methicillin-resistant \emph{Staphylococcus aureus} (MRSA) is still one of the most important causes of healthcare-associated infections due to AMR pathogens \textsuperscript{{[}3{]}}.
+
+In 2017 in a consensus report of the European Centre for Disease Prevention and Control (ECDC), the European Food Safety Authority (EFSA) and the European Medicines Agency (EMA), the proportion of MRSA in invasive \emph{S. aureus} infections was proposed as an indicator for surveillance of AMR pathogens in humans \textsuperscript{{[}4{]}}. Although in 2016 the proportion of MRSA in invasive \emph{S. aureus} infections in Europe reached its lowest level (13.7\%) since the ECDC first presented population-weighted data for the EU in 2009, large inter-country variations (1.2 to 50.5\%) remain in Europe \textsuperscript{{[}3{]}}. For example, in the most populated German federal state, North Rhine-Westphalia (NRW), the incidence of MRSA bacteraemia per inhabitants was 32-fold higher compared with the Dutch neighbouring region with similar population size in 2009--10 \textsuperscript{{[}5{]}}.
+
+The occurrence of MRSA still necessitates continuous surveillance and preparedness to optimise IPC to further decrease MRSA rates \textsuperscript{{[}6-9{]}}. Since 1999, MRSA screening of various sites including at least nares, pharynx and wounds (if present) and additionally perineum or groin (in case of known previous carriage) before or at admission to hospitals is recommended in Germany, if patients have defined risk factors \textsuperscript{{[}10{]}}. For MRSA carriers IPC measures including isolation in single rooms, barrier precautions and decolonisation therapies are also recommended \textsuperscript{{[}10,11{]}}. Within the EU-funded community initiative INTERREG IIIA in 2006, all hospitals in the German Münsterland region, located directly at the Dutch--German border, started to establish a network to control MRSA -- the EUREGIO MRSA net. They agreed to monitor the implementation of the IPC measures, harmonise local standards, exchange hospital utilisation data and MRSA data, perform molecular typing of MRSA isolates and establish regional benchmarks \textsuperscript{{[}12{]}}. This `search-and-follow' strategy was inspired from the `search-and-destroy' policy implemented in Dutch hospitals since the 1980s. It aimed to improve application of the German national MRSA recommendations, the regional cooperation between hospitals, other healthcare facilities and public health authorities, as well as to create a more robust MRSA surveillance system \textsuperscript{{[}9,12-14{]}}. Further to this strategy, screening for MRSA carriage among risk patients at hospital admission increased between 2009 and 2011 in these regional German hospitals and the nosocomial MRSA incidence density significantly decreased \textsuperscript{{[}15{]}}.
+
+The cross-border IPC network cooperation, i.e.~the Dutch−German web-based communication portal for handling MRSA problems for healthcare workers, patients and the public was continued from 2009 to 2015 within the INTERREG IVA funded project EurSafety Health-net. This enabled hospitals and nursing homes to acquire Euregional Quality and Transparency certificates. Moreover, since 2016, the collaboration was further prolonged within the INTERREG VA funded project EurHealth-1Health inter alia. Within this, the Dutch signaling meeting of the Hospital-acquired Infection and Antimicrobial Resistance Monitoring Group (SO-ZI/AMR) occurs in the German study region.
+
+Here, we analysed 2012 to 2016 MRSA surveillance data from Dutch and German border region hospitals (NL-BRH and DE-BRH) in the network in order to describe temporal and spatial trends of MRSA rates and find differences between these groups of hospitals. We also used the data to calculate the MRSA rates per inpatient and per patient days in both groups of hospitals and the MRSA rates per inhabitants in the patient catchment areas of NL-BRH and DE-BRH respectively in order to compare the two groups in relation to these parameters.
+
+\hypertarget{methods-3}{%
+\section{Methods}\label{methods-3}}
+
+\hypertarget{setting}{%
+\subsection{Setting}\label{setting}}
+
+Within the EurSafety Health-net project (\url{http://www.eursafety.eu/}) the German part of the project region geographically comprised six districts in the Münsterland region (codes DEA33--35, DEA37, DEA38 and DE94B, level 3, according to the Nomenclature of Territorial Units for Statistics, NUTS \textsuperscript{{[}16{]}}) and was inhabited by ca 1.73 million people \textsuperscript{{[}17{]}}. The Dutch part comprised eight districts in the provinces of Groningen, Drenthe and in the region Twente-Achterhoek (codes NL111--113, NL131--133, NL213 and NL225) inhabited by ca 2.10 million people (Figure 1) \textsuperscript{{[}17{]}}. Initially, there were 42 hospitals located in the Dutch--German region (reduced in 2015 to 41 due to a structural merging of two DE-BRH) treating ca 620,000 admitted patients (68.0\% in the German part of the study region) with ca 3,900,000 patient days per year. All 34 (since 2015, 33) regional DE-BRH (9.5\% of hospitals in NRW in 2016) and all eight regional NL-BRH (8.8\% of hospitals in the Netherlands in 2016) took part in the project. Among the DE-BRH, 29 were acute care hospitals, one was a university hospital, one was a rehabilitation clinic and three hospitals were specialised in psychiatry, while the NL-BRH comprised one university- and seven acute care hospitals.
+
+\begin{figure}
+
+{\centering \includegraphics[width=1\linewidth]{images/09-01} 
+
+}
+
+\caption{Location of the study region in the Netherlands and Germany, 2012-2016. The dark grey area represents the study region, including the Dutch regions East Groningen (NL111), Delfzijl and surroundings (NL112), rest of Groningen (NL113), North Drenthe (NL 131), South East Drenthe (NL132), South West Drenthe (NL133), Twente (NL213), Achterhoek (NL225), and the German regions Grafschaft Bentheim region (DE94B) and the Münsterland-region with the urban district Münster (DEA33) and the rural districts Borken (DEA34), Coesfeld (DEA35), Steinfurt (DEA37) and Warendorf (DEA38).}\label{fig:fig9-1}
+\end{figure}
+
+\hypertarget{guidelines-for-patients-at-risk-for-mrsa-and-infection-prevention-and-control-measures}{%
+\subsection{Guidelines for patients at risk for MRSA and infection prevention and control measures}\label{guidelines-for-patients-at-risk-for-mrsa-and-infection-prevention-and-control-measures}}
+
+Both NL-BRH and DE-BRH implemented MRSA-related IPC measures according to their national guidelines and recommendations, issued by the Dutch Working Group on Infection Prevention (WIP) and the German Commission for Hospital Hygiene and Infection Prevention (KRINKO) at the Robert Koch-Institute, respectively \textsuperscript{{[}10,18{]}}. Of note, the definitions of whom to screen at admission differed for NL-BRH and DE-BRH based on the national guidelines and recommendations (Table 1), as well as screening sites (DE-BRH: at least nose, pharynx, throat and wounds, if present, additionally perineum and groin swab, when indicated; NL-BRH: nasal-, throat- and perineum or rectum swab plus additional cultures depending on clinical signs) \textsuperscript{{[}10,19{]}}. In all hospitals, positive screenings or any other detection of MRSA was followed by single room isolation, contact precautions and decolonisation, if applicable. Pre-emptive isolation of patients with MRSA risk factors was performed according to local guidelines (in DE-BRH only for patients with previous MRSA carriage, for NL-BRH see Table 1.
+
+The levels of isolation for inpatients with risk categories were the following:
+
+\begin{itemize}
+\tightlist
+\item
+  RMRSA: MRSA positive- or (RH) high-risk category patients in high-risk departments of the hospital (e.g., intensive care unit, haematology): single room isolation with contact- and airborne precautions.
+\item
+  RH: High-risk category patients who are not in high-risk departments and who have an MRSA screening result available within 24 hours of admission: single room with contact precautions.
+\item
+  RL: Low-risk category: no isolation, awaiting new MRSA screening test results.
+\end{itemize}
+
+In both countries adherence to the MRSA-IPC guidelines- and recommendations was periodically checked by the responsible local public health authorities (Germany) and national health inspectorate (Netherlands). The implementation of other IPC measures in the participating hospitals, such as standards for the prevention of catheter-related bloodstream infections, was not planned or assessed within the project.
+
+Table 1. Risk factors for MRSA carriage at admission according to Dutch and German MRSA guidelines, 2012--2016.
+
+\begin{figure}
+
+{\centering \includegraphics[width=1\linewidth]{images/09-t01} 
+
+}
+
+\end{figure}
+
+\hypertarget{data-collection}{%
+\subsection{Data collection}\label{data-collection}}
+
+An MRSA case was defined as an inpatient who was colonised or infected with MRSA at admission or for nosocomial MRSA cases, after admission. A blood culture positive for MRSA, from a single inpatient and from a single hospital stay was qualified as MRSAB case. If an MRSA case, or MRSAB case, had several stays in a year, each hospital stay was counted as an MRSA case, or MRSAB case, in the surveillance.
+
+On both sides of the border, the collected surveillance data of inpatients (i.e.~excluding outpatients) included the number of nasopharyngeal swabs performed for MRSA screening before or at admission, the numbers of MRSA cases (one isolate per patient per hospital stay) − in DE-BRH and in several NL-BRH MRSA cases were additionally classified as imported or nosocomial (i.e.~nosocomial, if the case was detected ≥ 3 days after hospital admission unless the patient was a known MRSA carrier), the number of cases and the number of patient days. Additionally, in DE-BRH and in several NL-BRH the patient days of MRSA cases (i.e.~the number of days, which an MRSA-positive patient spent in hospital) were also recorded. Moreover, the number of inpatients with a blood culture positive for MRSA (MRSAB, one isolate per patient case) and the number of \emph{S. aureus} in blood cultures (one isolate per patient case) were assessed. The MRSA-surveillance data as described above were collected in all DE-BRH using a protocol adapted from the national German Nosocomial Infections Surveillance System (MRSA-KISS \textsuperscript{{[}20{]}}); see Supplement Table S1). For cross-border analysis, the laboratories serving for all NL-BRH provided retrospectively collected data for the period 2012 to 2016, according to the same protocol.
+
+\hypertarget{ethical-statement}{%
+\subsection{Ethical statement}\label{ethical-statement}}
+
+Ethical approval was asked from ethical committee at the University Medical Center Groningen (UMCG), and approval was not necessary for this study.
+
+\hypertarget{data-analysis}{%
+\subsection{Data analysis}\label{data-analysis}}
+
+We analysed the surveillance data of five years (2012--16) and calculated the following parameters: (i) screening rate (nasopharyngeal swabs for MRSA/100 inpatients), (ii) MRSA incidence (MRSA cases/100 inpatients), (iii) percentage of MRSA isolates per all \emph{S. aureus} isolates detected in blood cultures, (iv) incidence density of MRSA isolates detected from blood cultures (MRSAB cases/100,000 patient days), (v) nosocomial MRSA incidence density (nosocomial MRSA-cases/1,000 patient days), (vi) length of stay in hospital (number of patient days/inpatients, (vii) length of stay in the hospital of MRSA cases (number of patient days of MRSA cases/MRSA cases). We calculated the mean annual numbers of inpatients per 100 inhabitants and of patient days per 100 inhabitants of the patient catchment area of NL-BRH and DE-BRH. Furthermore, we calculated the mean annual number of nasopharyngeal swabs performed for MRSA screening before or at admission to hospital per 100 inhabitants in the patient catchment area of the regional hospitals (DE-BR and NL-BR) as well as of inpatient MRSA cases per 1,000 inhabitants and the MRSAB/1,000,000 inhabitants using our surveillance data of inpatients (i.e., excluding outpatients). The number of inhabitants were assessed from the official statistical database \textsuperscript{{[}17{]}}.
+
+Time trends of MRSA parameters were analysed by Friedman tests. The percentage of nosocomial MRSA cases on all MRSA cases was assessed by Cochran--Armitage test of linear trend. The cross-border regional comparisons were analysed using Wilcoxon rank sum test. All statistical analyses were done using SAS 9.4 software (SAS Institute Inc., Cary, United States); \emph{p} \textless{} 0.05 was considered significant. Results of significance tests were discarded if the software displayed an alert due to more than 10\% of missing values in the respective dataset. The map was made using RegioGraph10 (GFK Geomarketing GmbH, Bruchsal, Germany).
+
+\hypertarget{results-4}{%
+\section{Results}\label{results-4}}
+
+\hypertarget{trend-and-cross-border-comparison-of-mrsa-rates}{%
+\subsection{Trend and cross-border comparison of MRSA rates}\label{trend-and-cross-border-comparison-of-mrsa-rates}}
+
+The total numbers of MRSA cases (detected in DE-BRH and NL-BRH are shown in Table 2. In both DE-BRH and NL-BRH the median nasopharyngeal MRSA screening rate increased significantly between 2012 and 2016 (Table 3). Overall, the median screening rate was 14 times higher in DE-BRH than in NL-BRH (\emph{p} \textless{} 0.0001, Table 4).
+
+Table 2. Numbers of methicillin-resistant \emph{Staphylococcus aureus} cases documented in all study hospitals in the German region of Münsterland and the Dutch regions of Twente-Achterhoek, Drenthe and Groningen, 2012--2016 (n = 42 hospitals) \textsuperscript{a.}
+
+\begin{figure}
+
+{\centering \includegraphics[width=1\linewidth]{images/09-t02} 
+
+}
+
+\end{figure}
+
+Table 3. Annual medians of methicillin-resistant \emph{Staphylococcus aureus} parameters in all study hospitals in the German region Münsterland and the Dutch regions of Twente-Achterhoek, Drenthe and Groningen, 2012--2016 (n = 42 hospitals) \textsuperscript{a.}
+
+\begin{figure}
+
+{\centering \includegraphics[width=1\linewidth]{images/09-t03} 
+
+}
+
+\end{figure}
+
+Table 4. Methicillin-resistant \emph{Staphylococcus aureus} parameters in all study hospitals in the German region of Münsterland and the Dutch regions of Twente-Achterhoek, Drenthe and Groningen, 2012--2016 (n = 42 hospitals) \textsuperscript{a.}
+
+\begin{figure}
+
+{\centering \includegraphics[width=1\linewidth]{images/09-t04} 
+
+}
+
+\end{figure}
+
+The median MRSA incidence remained stable over time at both sides of the border (Table 3), but was more than seven times higher in DE-BRH than in NL-BRH (\emph{p} \textless{} 0.0001) (Table 4). The median percentage of MRSA in \emph{S. aureus} blood culture isolates decreased from 12.5\% in 2012 to 5.0\% in 2016 in DE-BRH (\emph{p} = 0.0959), while it remained stable in NL-BRH (\emph{p} = 0.1679) (Table 3), but was more than 34 times higher in DE-BRH (\emph{p} = 0.0001) (Table 4). The median of MRSAB per 100,000 patient days remained stable over time in DE-BRH (\emph{p} = 0.4272) and NL-BRH (\emph{p} = 0.0620) (Table 3) and was six-fold greater in DE-BRH than in NL BRH (\emph{p} = 0.0041) (Table 4). The percentages of nosocomial cases on all MRSA cases (Table 2) decreased significantly in DE-BRH (\emph{p} \textless{} 0.0001), but did not change in NL-BRH (\emph{p} \textless{} 0.6474). Over the study period the median nosocomial MRSA incidence-density decreased significantly in DE-BRH (\emph{p} = 0.0184) (Table 3), but did not change in NL-BRH (\emph{p} = 0.3532) and was approximately three times higher in DE-BRH than in NL-BRH (\emph{p} = 0.0002) (Table 4).
+
+\hypertarget{cross-border-comparison-of-healthcare-utilisation}{%
+\subsection{Cross-border comparison of healthcare utilisation}\label{cross-border-comparison-of-healthcare-utilisation}}
+
+We compared the available data on healthcare utilisation in DE-BRH and NL-BRH. The median length of stay (LOS) in the hospital was 6.8 days in DE-BRH compared with 4.9 days in NL-BRH (\emph{p} \textless{} 0.0001) (Table 4); LOS of MRSA patients was similar in DE-BRH vs NL-BRH (11.1 days vs 11.7 days; \emph{p} = 0.8774) (Table 4). The hospitalisation rate was 24.3 inpatients/100 inhabitants annually in the patient catchment area of DE-BRH, almost thrice the rate in the NL-BRH's catchment area (9.27/100). To put this difference in healthcare utilisation into context, we calculated the mean annual number of nasopharyngeal MRSA screening swabs before or at admission to hospital per 100 inhabitants in the German border region (DE-BR) vs the Dutch border region (NL-BR) (12.2 vs 0.36). Additionally, we compared the MRSA surveillance data of inpatients (i.e., excluding outpatients) in the patient catchment area of DE-BRH and NL-BRH. The calculated numbers of inpatient MRSA cases per 1,000 inhabitants in DE-BR and NL-BR were 2.52 vs.~0.14. Furthermore, the calculated MRSAB/1,000,000 inhabitants in DE-BR and NL-BR was 38.4 vs 4.09 (Table 5).
+
+Table 5. Calculated parameters in the patient catchment area of all study hospitals in the German region of Münsterland and Dutch regions of Twente-Achterhoek, Drenthe and Groningen, 2012--2016 (n = 42 hospitals) \textsuperscript{a.}
+
+\begin{figure}
+
+{\centering \includegraphics[width=1\linewidth]{images/09-t05} 
+
+}
+
+\end{figure}
+
+\hypertarget{discussion-5}{%
+\section{Discussion}\label{discussion-5}}
+
+As patients in the EU have the right to healthcare across the borders of Member States (EU directive 2011/24/EU), it is of interest to compare the quality of care, safety standards and risks of nosocomial infection by AMR pathogens between EU countries. In this respect, the cross-border systematic and continuous MRSA surveillance is one of the cornerstones to ensure equal quality of healthcare \textsuperscript{{[}21{]}}.
+
+Our study revealed significant differences between Dutch and German hospitals (Table 4). The median MRSA-incidence in DE-BRH was more than seven times higher compared with NL-BRH. We also found that the median MRSA percentage of \emph{S. aureus} detected in blood cultures was more than 34 times higher in DE-BRH than in NL-BRH (Table 4). The incidence density of MRSAB was six times higher in DE-BRH (Table 4) and there were nine times more MRSAB per 1,000,000 inhabitants for the patient catchment area of DE-BRH compared with NL-BRH (Table 5).
+
+According to the ECDC, differences in the occurrence of AMR pathogens between European countries are most likely caused by differences in healthcare utilisation, antimicrobial use and IPC practices \textsuperscript{{[}3{]}}.
+
+Concerning healthcare utilisation in our context, we found that inhabitants in the German part of the study region were almost three times as often hospitalised (Table 5) and had a significantly longer LOS than patients on the Dutch part (Table 4). This may be due to socioeconomic factors or a different organisation of ambulatory healthcare.
+
+While antimicrobial consumption was not the focus of the current study, NRW has been reported as the region in Germany with the highest antimicrobial consumption in outpatients (19.2 daily defined doses (DDD/1,000 inhabitants) \textsuperscript{{[}22{]}}. In this respect, the MRSA incidence in DE-BRH was slightly above the incidences in German hospitals participating in the nationwide surveillance system MRSA-KISS \textsuperscript{{[}20{]}}. The antimicrobial consumption level in NRW seems to be also considerably higher than in the Netherlands (10.39 DDD/1,000 inhabitants) \textsuperscript{{[}23{]}}, not only in terms of total antibiotics consumed, but also for the oral use of second-generation cephalosporins. Promoting rational regional antibiotic use is therefore one of the major goals in the INTERREG VA project EurHealth-1Health (\url{http://www.eurhealth-1health.eu/}).
+
+For MRSA IPC, the recommendations in Germany and the corresponding guidelines in the Netherlands were comparable regarding the measures performed for MRSA carriers \textsuperscript{{[}10,18{]}}. However, there were differences between the two countries in identifying people at risk of MRSA infection/colonisation \textsuperscript{{[}10,18{]}}. In this study, we found that the DE-BRH performed 14 times more nasopharyngeal screening swabs for MRSA than their Dutch counterparts.
+
+The higher screening rates on the German side of the border may be ascribed to the fact that in German IPC recommendations, previous hospitalisation in Germany is a risk factor for MRSA carriage. This constitutes a main difference in defined risk factors between Dutch- and German MRSA IPC guidelines, whereby Dutch guidelines mostly consider screening for patients previously hospitalised outside the Netherlands (Tables 1 and and3)3) \textsuperscript{{[}14,24{]}}. In this respect, we observed that although the densities of nosocomial MRSA cases were lower in NL-BRH than in DE-BRH (Table 3), the proportion of nosocomial MRSA cases among all MRSA detected was slightly higher in the Dutch hospitals (Table 2). The reason for this remains unclear, but it might be speculated that a larger proportion of MRSA carriers in the Netherlands had no risk factors for MRSA and were hence not screened at admission.
+
+Another explanation for screening rate differences between the two countries may be distinct underlying epidemiological situations regarding MRSA. For example, the MRSA prevalence is higher in the population in Germany than that in patients at hospital admission in the Netherlands (0.7\% vs.~0.13\%) \textsuperscript{{[}25,26{]}}. Moreover, in the German part of the study region, a possible additional MRSA burden due to the exceptionally frequent occurrence of livestock-associated MRSA might have an effect \textsuperscript{{[}27,28{]}}.
+
+The screening and IPC measures in the DE-BRH appeared to be nevertheless appropriate. In 2006, in the project region excluding Groningen and Drenthe (Figure), investigations evaluating the numbers of patients with MRSA risk factors at admission to German hospitals demonstrated that ca 35.6\% of patients had a risk factor requiring screening \textsuperscript{{[}29{]}}. A corresponding level of screening was implemented by DE-BRH during the study period 2009--11 \textsuperscript{{[}15{]}}. This level remained high in the 2012--16 period (Table 3), indicating a very good implementation of the screening standards.
+
+About 1\% of all patients admitted in DE-BRH carried MRSA, which corresponds well to results of investigations evaluating the prevalence of MRSA carriage in the regional general, non-hospitalised population in 2012 \textsuperscript{{[}25{]}}. In terms of difference with the Netherlands, this has for consequence that it is more expensive to provide isolation capacities for ca 1.0\% of inpatients with MRSA in DE-BRH vs 0.15\% in NL-BRH. Moreover, the higher MRSA incidence in DE-BRH could lead to a higher probability for nosocomial MRSA cases as they are not completely avoidable \textsuperscript{{[}30-32{]}}.
+
+From 2012 to 2016 however, the nosocomial MRSA incidence density in DE-BRH decreased significantly, a trend already observed from 2009 to 2011 \textsuperscript{{[}15{]}}. Moreover, the nosocomial MRSA incidence density (Table 3) appeared to be below the densities reported for hospitals participating in the nationwide surveillance system MRSA-KISS (median nosocomial MRSA cases per 1,000 patient days in DE-BRH/MRSA KISS, 2012--16: 0.11/0.14, 0.09/0.12, 0.09/0.10, 0.08/0.09, 0.07/0.08) \textsuperscript{{[}15,20{]}}. This may indicate the successful implementation of concerted IPC standards in DE-BRH in the EurSafety Health-net network \textsuperscript{{[}15{]}}.
+
+We also observed for that the difference of the incidence of MRSA bacteraemia per inhabitants between the German and Dutch border region (38.4 vs 4.09 per 1,000,000) was apparently smaller than calculated in a previous study, which used 2009 Dutch and 2010 German data respectively to derive the difference between NRW and the Netherlands (57.6 vs 1.8 per 1,000,000) \textsuperscript{{[}5{]}}. In addition, according to the population-based German mandatory notification system for invasive MRSA infections (SurvStat) from 2012 to 2016, 40.7 MRSA isolates were detected in blood or cerebrospinal fluid per 1,000,000 inhabitants in the German project region \textsuperscript{{[}33{]}}, which is lower compared with data from the federal state of NRW (70.3 per 1,000,000 inhabitants) as well as from Germany (47.9 per 1,000,000 inhabitants) \textsuperscript{{[}34{]}}.
+
+Comparing our results with those of other German laboratories participating in a voluntary, national surveillance system (ARS) \textsuperscript{{[}35{]}}, revealed that, for each year of the period 2012--16 the median percentage of MRSA in \emph{S. aureus} from blood cultures was lower in DE-BRH than in other laboratories in western Germany (DE-BRH/ARS-region west (NRW), 2012--16: 12.5\%/19.0\%, 14.3\%/15.0\%, 10.5\%/13.5\%, 9.8\%/13.3\%, 5.0\%/12.0\%) (Table 3), as well as below the middle lower range of the EU/European Economic Association (EEA) population-weighted mean between 18.8\% in 2012 and 13.7\% in 2016 \textsuperscript{{[}3,34,36{]}}.
+
+In contrast, the mean MRSA percentage of \emph{S. aureus} detected in blood culture during 2012--16 was higher (1.5\% vs 1.3\%) in NL-BRH compared with Dutch national data of Infectious Disease Surveillance Information System for Antibiotic Resistance, (ISIS-AR) covering data of 52\% of diagnostic laboratories \textsuperscript{{[}37{]}}.
+
+As typical for all passive surveillance systems, bias due to differences in reporting behaviour cannot be excluded and is a limitation of this study. However, as MRSA surveillance in DE-BRH started in 2007, a stabilised compliance in reporting can be assumed for the period from 2012--16. The higher number of MRSA cases per inhabitants on the German side compared with the Netherlands is biased if there is more than one episode of MRSA detection per year for one individual patient among the number of cases. Also, the inclusion of three psychiatric hospitals and one rehabilitation clinic, which have usually longer average lengths of stay, may have prolonged hospital stay in the DE-BRH. However, the data are in accordance with German-wide assessment systems. The clinical relevance of MRSA isolates detected in blood cultures is undisputable, but variations in blood culture diagnostics (e.g., frequency, performance) may result in bias when comparing MRSA percentages of \emph{S. aureus} blood culture isolates between different countries \textsuperscript{{[}38{]}}. A limitation of the study design is that the implementation of IPC standards, which are not directly targeted to control MRSA, such as bundles to prevent central-line-associated bloodstream infections (CLABSI), was not assessed and compared in the participating hospitals. Hence, changes of the incidence of MRSA bacteraemia could also be attributable to improvements in CLABSI prevention or other IPC standards.
+
+This study on MRSA covering all hospitals across part of a European border as well as hospitals of all three care-categories demonstrated that routine MRSA surveillance may be helpful to monitor trends of MRSA parameters, to compare the MRSA rates and to indicate needs for further improvement to reach low MRSA rates EU-wide. Our results supplement the European and national surveillance systems. Ongoing efforts in MRSA prevention are recommended, including all healthcare sectors, especially with focus on One Health \textsuperscript{{[}39-42{]}}. Moreover, cross-border surveillance should be extended to other multidrug-resistant organisms, such as CR \emph{Enterobacteriaceae} in the future.
+
+\hypertarget{acknowledgements-4}{%
+\section*{Acknowledgements}\label{acknowledgements-4}}
+\addcontentsline{toc}{section}{Acknowledgements}
+
+We acknowledge all the active participants of the EurSafety Health-net and EurHealth-1Health projects: The infection control nurses and the physicians responsible for infection control of the 42 participating hospitals, as well as the staff of the regional laboratories participating in the project. We thank the project representatives appointed by the public health offices in the EUREGIO, especially Ms.~Scherwinski and Ms.~Winkler (both Borken), Dr.~Toepper (Coesfeld), Dr.~Bierbaum and Dr.~Lürwer (both Münster), Dr.~Schmeer and Ms.~Suhr (both Steinfurt), Dr.~König and Ms.~Clemens (Warendorf). Furthermore, we thank Ms.~Schmidt, Ms.~Lunemann, Ms.~Jessen and Ms.~Ganser (NRW Centre for Health) and Dr.~Gunnar Andriesse from Certe in Groningen for their support.
+
+\hypertarget{funding-1}{%
+\section*{Funding}\label{funding-1}}
+\addcontentsline{toc}{section}{Funding}
+
+The EurSafety Health-Net project was financially supported by external funding within the INTERREG IVA program `Germany-Netherlands' of the EU (EurSafety Health-net: INTERREG IVA III-1-01=073), by the German states of NRW and Lower Saxony and by the Dutch provinces Overijssel, Gelderland and Limburg. The EurHealth-1Health project is implemented within the framework of the INTERREG VA `Germany-Netherlands' program (grant number EU/INTERREG VA-202085) and is co-financed by the European Union, the Dutch Ministry of Health, Welfare and Sport (VWS), the Ministry of Economy, Innovation, Digitalisation and Energy of the German Federal State North Rhine-Westphalia and by the German Federal State Lower Saxony.
+
+\hypertarget{references-8}{%
+\section*{References}\label{references-8}}
+\addcontentsline{toc}{section}{References}
+
+\begin{enumerate}
+\def\labelenumi{\arabic{enumi}.}
+\tightlist
+\item
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+\item
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+\item
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+\item
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+\item
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+\item
+  Surveillance NI. MRSA-KISS-Protocoll-2016; MRSA KISS Reference data 2016. {[}Accessed 03 Feb 2019{]}. Available from: \url{https://www.nrz-hygiene.de/surveillance/kiss/mrsa-kiss/archiv/} 2017.
+\item
+  European Commission. Communication from the Commission to the European Parliament and the Council. Action plan against the rising threats from Antimicrobial Resistance. Brüssel: Publications Office of the European Union; 2011. Available from: \url{https://www.eumonitor.eu/9353000/1/j4nvke1fm2yd1u0_j9vvik7m1c3gyxp/vkcwedxv7dzy/v=s7z/f=/com(2011)748_en.pdf}
+\item
+  PEG) P-E-GfC. GERMAP 2015 -- Bericht über den Antibiotikaverbrauch und die Verbreitung von Antibiotikaresistenzen in der Human- und Veterinärmedizin in Deutschland. Rheinbach: Antiinfectives Intelligence; 2016. Report No.: 978-3-9818383-0-5. Available from: \url{http://www.p-e-g.org/econtext/germap}
+\item
+  SWAB. NethMap 2017, Consumption of antimicrobial agents and antimicrobial resistance among medically important bacteria in The Netherlands in 2016. MARAN 2017, Monitoring of Antimicrobial Resistance and Antibiotic Usage in Animals in the Netherlands in 2016. Bergen; 2019. Available from: \url{https://www.rivm.nl/bibliotheek/rapporten/2017-0056.pdf}
+\item
+  van der Zee A, Hendriks WD, Roorda L, Ossewaarde JM, Buitenwerf J. Review of a major epidemic of methicillin-resistant \emph{Staphylococcus aureus}: the costs of screening and consequences of outbreak management. Am J Infect Control. 2013;41(3):204-9. 10.1016/j.ajic.2012.02.033
+\item
+  Köck R, Werner P, Friedrich AW, Fegeler C, Becker K, Prevalence of Multiresistant Microorganisms (PMM) Study Group. Prevalence of Multiresistant Microorganisms PMM Study Group Persistence of nasal colonization with human pathogenic bacteria and associated antimicrobial resistance in the German general population. New Microbes New Infect. 2015;9:24-34. 10.1016/j.nmni.2015.11.004
+\item
+  Weterings V, Veenemans J, van Rijen M, Kluytmans J. Prevalence of nasal carriage of methicillin-resistant \emph{Staphylococcus aureus} in patients at hospital admission in the Netherlands, 2010 - 2017: an observational study. Clin Microbiol Infect. 2019;S1198-743X(19)30114-4. 10.1016/j.cmi.2019.03.012
+\item
+  Köck R, Schaumburg F, Mellmann A, Köksal M, Jurke A, Becker K, \emph{et al.} Livestock-associated methicillin-resistant \emph{Staphylococcus aureus} (MRSA) as causes of human infection and colonization in Germany. PLoS One. 2013;8(2):e55040. 10.1371/journal.pone.0055040
+\item
+  Schaumburg F, Köck R, Mellmann A, Richter L, Hasenberg F, Kriegeskorte A, \emph{et al.} study group Population dynamics among methicillin-resistant \emph{Staphylococcus aureus} isolates in Germany during a 6-year period. J Clin Microbiol. 2012;50(10):3186-92. 10.1128/JCM.01174-12
+\item
+  Köck R, Brakensiek L, Mellmann A, Kipp F, Henderikx M, Harmsen D, \emph{et al.} Cross-border comparison of the admission prevalence and clonal structure of meticillin-resistant \emph{Staphylococcus aureus}. J Hosp Infect. 2009;71(4):320-6. 10.1016/j.jhin.2008.12.001
+\item
+  Haley RW. Surveillance by objective: a new priority-directed approach to the control of nosocomial infections. The National Foundation for Infectious Diseases lecture. Am J Infect Control. 1985;13(2):78-89. 10.1016/0196-6553(85)90085-9
+\item
+  Gastmeier P, Bräuer H, Forster D, Dietz E, Daschner F, Rüden H. A quality management project in 8 selected hospitals to reduce nosocomial infections: a prospective, controlled study. Infect Control Hosp Epidemiol. 2002;23(2):91-7. 10.1086/502013
+\item
+  Pronovost P, Needham D, Berenholtz S, Sinopoli D, Chu H, Cosgrove S, \emph{et al.} An intervention to decrease catheter-related bloodstream infections in the ICU. N Engl J Med. 2006;355(26):2725-32. 10.1056/NEJMoa061115
+\item
+  Robert-Koch-Institute. Surveillance Statistics (Germany). \href{mailto:SurvStat@RKI}{\nolinkurl{SurvStat@RKI}} 2.0. {[}Accessed 03 Feb 2019{]}. Available from: \url{https://survstat.rki.de}
+\item
+  Walter J, Haller S, Blank HP, Eckmanns T, Abu Sin M, Hermes J. Incidence of invasive meticillin-resistant \emph{Staphylococcus aureus} infections in Germany, 2010 to 2014. Euro Surveill. 2015;20(46):30067. 10.2807/1560-7917.ES.2015.20.46.30067
+\item
+  Robert-Koch-Institute. Antimicrobial Resistance Surveillance (ARS, Germany). {[}Accessed 03 Feb 2019{]}. Available from: \url{https://ars.rki.de}
+\item
+  Olearo F, Albrich WC, Vernaz N, Harbarth S, Kronenberg A, Swiss Centre For Antibiotic Resistance Anresis \emph{Staphylococcus aureus} and methicillin resistance in Switzerland: regional differences and trends from 2004 to 2014. Swiss Med Wkly. 2016;146:w14339. 10.4414/smw.2016.14339
+\item
+  NVMM. Infectieziekten Surveillance Informatie Systeem - Antibiotica Resistentie (ISIS-AR). {[}Accessed 03 Feb 2019{]}. Available from: \url{https://www.isis-web.nl}
+\item
+  Raupach-Rosin H, Duddeck A, Gehrlich M, Helmke C, Huebner J, Pletz MW, \emph{et al.} Deficits in knowledge, attitude, and practice towards blood culture sampling: results of a nationwide mixed-methods study among inpatient care physicians in Germany. Infection. 2017;45(4):433-41. 10.1007/s15010-017-0990-7
+\item
+  Köck R, Kreienbrock L, van Duijkeren E, Schwarz S. Antimicrobial resistance at the interface of human and veterinary medicine. Vet Microbiol. 2017;200:1-5. 10.1016/j.vetmic.2016.11.013
+\item
+  Maier GS, Thorey F, Kolbow K, Lazovic D, Lühmann M, Ohnsorge J, \emph{et al.} Livestock-assoziierter Methicillin-resistenter \emph{Staphylococcus aureus} -- Erhebung einer orthopädischen Fachklinik im Hochrisikogebiet Nord-West. {[}Livestock-Associated Methicillin-Resistant \emph{Staphylococcus aureus}: Epidemiological Data from an Orthopaedic Department in North-West Germany{]}. Z Orthop Unfall. 2017;155(3):304-9.
+\item
+  Nillius D, von Müller L, Wagenpfeil S, Klein R, Herrmann M. Methicillin-Resistant \emph{Staphylococcus aureus} in Saarland, Germany: The Long-Term Care Facility Study. PLoS One. 2016;11(4):e0153030. 10.1371/journal.pone.0153030
+\item
+  Paget J, Aangenend H, Kühn M, Hautvast J, van Oorschot D, Olde Loohuis A, \emph{et al.} MRSA Carriage in Community Outpatients: A Cross-Sectional Prevalence Study in a High-Density Livestock Farming Area along the Dutch-German Border. PLoS One. 2015;10(11):e0139589. 10.1371/journal.pone.0139589
+\end{enumerate}
+
   \bibliography{packages.bib}
 
 \end{document}

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 <ul>
-<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i><b>8.1</b> Abstract</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i>Abstract</a></li>
-<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.2</b> Introduction</a></li>
+<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.1</b> Introduction</a></li>
-<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.3</b> Methods</a></li>
+<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.2</b> Methods</a></li>
-<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.4</b> Results</a>
+<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.3</b> Results</a>
 <ul>
-<li class="chapter" data-level="8.4.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.4.1</b> Number of Antibiograms and Patients</a></li>
+<li class="chapter" data-level="8.3.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.3.1</b> Number of Antibiograms and Patients</a></li>
-<li class="chapter" data-level="8.4.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.4.2</b> Results of MRGN and BRMO Classification</a></li>
+<li class="chapter" data-level="8.3.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.3.2</b> Results of MRGN and BRMO Classification</a></li>
 </ul></li>
-<li class="chapter" data-level="8.5" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.5</b> Discussion</a></li>
+<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.4</b> Discussion</a></li>
-<li class="chapter" data-level="8.6" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i><b>8.6</b> Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i>Acknowledgements</a></li>
-<li class="chapter" data-level="8.7" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i><b>8.7</b> Conflicts of interest</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i>Conflicts of interest</a></li>
 <li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#references-7"><i class="fa fa-check"></i>References</a></li>
 </ul></li>
+<li class="chapter" data-level="9" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html"><i class="fa fa-check"></i><b>9</b> Changing Epidemiology of Methicillin-Resistant <em>Staphylococcus aureus</em> in 42 Hospitals in the Dutch-German Border Region, 2012 to 2016: Results of the Search-and-Follow Policy</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#abstract-7"><i class="fa fa-check"></i>Abstract</a></li>
+<li class="chapter" data-level="9.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#introduction-6"><i class="fa fa-check"></i><b>9.1</b> Introduction</a></li>
+<li class="chapter" data-level="9.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#methods-3"><i class="fa fa-check"></i><b>9.2</b> Methods</a>
+<ul>
+<li class="chapter" data-level="9.2.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#setting"><i class="fa fa-check"></i><b>9.2.1</b> Setting</a></li>
+<li class="chapter" data-level="9.2.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#guidelines-for-patients-at-risk-for-mrsa-and-infection-prevention-and-control-measures"><i class="fa fa-check"></i><b>9.2.2</b> Guidelines for patients at risk for MRSA and infection prevention and control measures</a></li>
+<li class="chapter" data-level="9.2.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-collection"><i class="fa fa-check"></i><b>9.2.3</b> Data collection</a></li>
+<li class="chapter" data-level="9.2.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#ethical-statement"><i class="fa fa-check"></i><b>9.2.4</b> Ethical statement</a></li>
+<li class="chapter" data-level="9.2.5" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-analysis"><i class="fa fa-check"></i><b>9.2.5</b> Data analysis</a></li>
+</ul></li>
+<li class="chapter" data-level="9.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#results-4"><i class="fa fa-check"></i><b>9.3</b> Results</a>
+<ul>
+<li class="chapter" data-level="9.3.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#trend-and-cross-border-comparison-of-mrsa-rates"><i class="fa fa-check"></i><b>9.3.1</b> Trend and cross-border comparison of MRSA rates</a></li>
+<li class="chapter" data-level="9.3.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#cross-border-comparison-of-healthcare-utilisation"><i class="fa fa-check"></i><b>9.3.2</b> Cross-border comparison of healthcare utilisation</a></li>
+</ul></li>
+<li class="chapter" data-level="9.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#discussion-5"><i class="fa fa-check"></i><b>9.4</b> Discussion</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#acknowledgements-4"><i class="fa fa-check"></i>Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#funding-1"><i class="fa fa-check"></i>Funding</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#references-8"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
 <li class="divider"></li>
 <li class="copyright">© 2021 Matthijs Berends</li>
 

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 <li class="chapter" data-level="8" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html"><i class="fa fa-check"></i><b>8</b> Defining Multidrug Resistance of Gram-Negative Bacteria in the Dutch-German Border Region: Impact of National Guidelines</a>
 <ul>
-<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i><b>8.1</b> Abstract</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i>Abstract</a></li>
-<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.2</b> Introduction</a></li>
+<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.1</b> Introduction</a></li>
-<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.3</b> Methods</a></li>
+<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.2</b> Methods</a></li>
-<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.4</b> Results</a>
+<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.3</b> Results</a>
 <ul>
-<li class="chapter" data-level="8.4.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.4.1</b> Number of Antibiograms and Patients</a></li>
+<li class="chapter" data-level="8.3.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.3.1</b> Number of Antibiograms and Patients</a></li>
-<li class="chapter" data-level="8.4.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.4.2</b> Results of MRGN and BRMO Classification</a></li>
+<li class="chapter" data-level="8.3.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.3.2</b> Results of MRGN and BRMO Classification</a></li>
 </ul></li>
-<li class="chapter" data-level="8.5" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.5</b> Discussion</a></li>
+<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.4</b> Discussion</a></li>
-<li class="chapter" data-level="8.6" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i><b>8.6</b> Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i>Acknowledgements</a></li>
-<li class="chapter" data-level="8.7" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i><b>8.7</b> Conflicts of interest</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i>Conflicts of interest</a></li>
 <li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#references-7"><i class="fa fa-check"></i>References</a></li>
 </ul></li>
+<li class="chapter" data-level="9" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html"><i class="fa fa-check"></i><b>9</b> Changing Epidemiology of Methicillin-Resistant <em>Staphylococcus aureus</em> in 42 Hospitals in the Dutch-German Border Region, 2012 to 2016: Results of the Search-and-Follow Policy</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#abstract-7"><i class="fa fa-check"></i>Abstract</a></li>
+<li class="chapter" data-level="9.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#introduction-6"><i class="fa fa-check"></i><b>9.1</b> Introduction</a></li>
+<li class="chapter" data-level="9.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#methods-3"><i class="fa fa-check"></i><b>9.2</b> Methods</a>
+<ul>
+<li class="chapter" data-level="9.2.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#setting"><i class="fa fa-check"></i><b>9.2.1</b> Setting</a></li>
+<li class="chapter" data-level="9.2.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#guidelines-for-patients-at-risk-for-mrsa-and-infection-prevention-and-control-measures"><i class="fa fa-check"></i><b>9.2.2</b> Guidelines for patients at risk for MRSA and infection prevention and control measures</a></li>
+<li class="chapter" data-level="9.2.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-collection"><i class="fa fa-check"></i><b>9.2.3</b> Data collection</a></li>
+<li class="chapter" data-level="9.2.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#ethical-statement"><i class="fa fa-check"></i><b>9.2.4</b> Ethical statement</a></li>
+<li class="chapter" data-level="9.2.5" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-analysis"><i class="fa fa-check"></i><b>9.2.5</b> Data analysis</a></li>
+</ul></li>
+<li class="chapter" data-level="9.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#results-4"><i class="fa fa-check"></i><b>9.3</b> Results</a>
+<ul>
+<li class="chapter" data-level="9.3.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#trend-and-cross-border-comparison-of-mrsa-rates"><i class="fa fa-check"></i><b>9.3.1</b> Trend and cross-border comparison of MRSA rates</a></li>
+<li class="chapter" data-level="9.3.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#cross-border-comparison-of-healthcare-utilisation"><i class="fa fa-check"></i><b>9.3.2</b> Cross-border comparison of healthcare utilisation</a></li>
+</ul></li>
+<li class="chapter" data-level="9.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#discussion-5"><i class="fa fa-check"></i><b>9.4</b> Discussion</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#acknowledgements-4"><i class="fa fa-check"></i>Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#funding-1"><i class="fa fa-check"></i>Funding</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#references-8"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
 <li class="divider"></li>
 <li class="copyright">© 2021 Matthijs Berends</li>
 

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 </ul></li>
 <li class="chapter" data-level="8" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html"><i class="fa fa-check"></i><b>8</b> Defining Multidrug Resistance of Gram-Negative Bacteria in the Dutch-German Border Region: Impact of National Guidelines</a>
 <ul>
-<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i><b>8.1</b> Abstract</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i>Abstract</a></li>
-<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.2</b> Introduction</a></li>
+<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.1</b> Introduction</a></li>
-<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.3</b> Methods</a></li>
+<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.2</b> Methods</a></li>
-<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.4</b> Results</a>
+<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.3</b> Results</a>
 <ul>
-<li class="chapter" data-level="8.4.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.4.1</b> Number of Antibiograms and Patients</a></li>
+<li class="chapter" data-level="8.3.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.3.1</b> Number of Antibiograms and Patients</a></li>
-<li class="chapter" data-level="8.4.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.4.2</b> Results of MRGN and BRMO Classification</a></li>
+<li class="chapter" data-level="8.3.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.3.2</b> Results of MRGN and BRMO Classification</a></li>
 </ul></li>
-<li class="chapter" data-level="8.5" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.5</b> Discussion</a></li>
+<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.4</b> Discussion</a></li>
-<li class="chapter" data-level="8.6" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i><b>8.6</b> Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i>Acknowledgements</a></li>
-<li class="chapter" data-level="8.7" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i><b>8.7</b> Conflicts of interest</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i>Conflicts of interest</a></li>
 <li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#references-7"><i class="fa fa-check"></i>References</a></li>
 </ul></li>
+<li class="chapter" data-level="9" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html"><i class="fa fa-check"></i><b>9</b> Changing Epidemiology of Methicillin-Resistant <em>Staphylococcus aureus</em> in 42 Hospitals in the Dutch-German Border Region, 2012 to 2016: Results of the Search-and-Follow Policy</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#abstract-7"><i class="fa fa-check"></i>Abstract</a></li>
+<li class="chapter" data-level="9.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#introduction-6"><i class="fa fa-check"></i><b>9.1</b> Introduction</a></li>
+<li class="chapter" data-level="9.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#methods-3"><i class="fa fa-check"></i><b>9.2</b> Methods</a>
+<ul>
+<li class="chapter" data-level="9.2.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#setting"><i class="fa fa-check"></i><b>9.2.1</b> Setting</a></li>
+<li class="chapter" data-level="9.2.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#guidelines-for-patients-at-risk-for-mrsa-and-infection-prevention-and-control-measures"><i class="fa fa-check"></i><b>9.2.2</b> Guidelines for patients at risk for MRSA and infection prevention and control measures</a></li>
+<li class="chapter" data-level="9.2.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-collection"><i class="fa fa-check"></i><b>9.2.3</b> Data collection</a></li>
+<li class="chapter" data-level="9.2.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#ethical-statement"><i class="fa fa-check"></i><b>9.2.4</b> Ethical statement</a></li>
+<li class="chapter" data-level="9.2.5" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-analysis"><i class="fa fa-check"></i><b>9.2.5</b> Data analysis</a></li>
+</ul></li>
+<li class="chapter" data-level="9.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#results-4"><i class="fa fa-check"></i><b>9.3</b> Results</a>
+<ul>
+<li class="chapter" data-level="9.3.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#trend-and-cross-border-comparison-of-mrsa-rates"><i class="fa fa-check"></i><b>9.3.1</b> Trend and cross-border comparison of MRSA rates</a></li>
+<li class="chapter" data-level="9.3.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#cross-border-comparison-of-healthcare-utilisation"><i class="fa fa-check"></i><b>9.3.2</b> Cross-border comparison of healthcare utilisation</a></li>
+</ul></li>
+<li class="chapter" data-level="9.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#discussion-5"><i class="fa fa-check"></i><b>9.4</b> Discussion</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#acknowledgements-4"><i class="fa fa-check"></i>Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#funding-1"><i class="fa fa-check"></i>Funding</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#references-8"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
 <li class="divider"></li>
 <li class="copyright">© 2021 Matthijs Berends</li>
 

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 </ul></li>
 <li class="chapter" data-level="8" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html"><i class="fa fa-check"></i><b>8</b> Defining Multidrug Resistance of Gram-Negative Bacteria in the Dutch-German Border Region: Impact of National Guidelines</a>
 <ul>
-<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i><b>8.1</b> Abstract</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i>Abstract</a></li>
-<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.2</b> Introduction</a></li>
+<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.1</b> Introduction</a></li>
-<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.3</b> Methods</a></li>
+<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.2</b> Methods</a></li>
-<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.4</b> Results</a>
+<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.3</b> Results</a>
 <ul>
-<li class="chapter" data-level="8.4.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.4.1</b> Number of Antibiograms and Patients</a></li>
+<li class="chapter" data-level="8.3.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.3.1</b> Number of Antibiograms and Patients</a></li>
-<li class="chapter" data-level="8.4.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.4.2</b> Results of MRGN and BRMO Classification</a></li>
+<li class="chapter" data-level="8.3.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.3.2</b> Results of MRGN and BRMO Classification</a></li>
 </ul></li>
-<li class="chapter" data-level="8.5" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.5</b> Discussion</a></li>
+<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.4</b> Discussion</a></li>
-<li class="chapter" data-level="8.6" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i><b>8.6</b> Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i>Acknowledgements</a></li>
-<li class="chapter" data-level="8.7" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i><b>8.7</b> Conflicts of interest</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i>Conflicts of interest</a></li>
 <li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#references-7"><i class="fa fa-check"></i>References</a></li>
 </ul></li>
+<li class="chapter" data-level="9" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html"><i class="fa fa-check"></i><b>9</b> Changing Epidemiology of Methicillin-Resistant <em>Staphylococcus aureus</em> in 42 Hospitals in the Dutch-German Border Region, 2012 to 2016: Results of the Search-and-Follow Policy</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#abstract-7"><i class="fa fa-check"></i>Abstract</a></li>
+<li class="chapter" data-level="9.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#introduction-6"><i class="fa fa-check"></i><b>9.1</b> Introduction</a></li>
+<li class="chapter" data-level="9.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#methods-3"><i class="fa fa-check"></i><b>9.2</b> Methods</a>
+<ul>
+<li class="chapter" data-level="9.2.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#setting"><i class="fa fa-check"></i><b>9.2.1</b> Setting</a></li>
+<li class="chapter" data-level="9.2.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#guidelines-for-patients-at-risk-for-mrsa-and-infection-prevention-and-control-measures"><i class="fa fa-check"></i><b>9.2.2</b> Guidelines for patients at risk for MRSA and infection prevention and control measures</a></li>
+<li class="chapter" data-level="9.2.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-collection"><i class="fa fa-check"></i><b>9.2.3</b> Data collection</a></li>
+<li class="chapter" data-level="9.2.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#ethical-statement"><i class="fa fa-check"></i><b>9.2.4</b> Ethical statement</a></li>
+<li class="chapter" data-level="9.2.5" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-analysis"><i class="fa fa-check"></i><b>9.2.5</b> Data analysis</a></li>
+</ul></li>
+<li class="chapter" data-level="9.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#results-4"><i class="fa fa-check"></i><b>9.3</b> Results</a>
+<ul>
+<li class="chapter" data-level="9.3.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#trend-and-cross-border-comparison-of-mrsa-rates"><i class="fa fa-check"></i><b>9.3.1</b> Trend and cross-border comparison of MRSA rates</a></li>
+<li class="chapter" data-level="9.3.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#cross-border-comparison-of-healthcare-utilisation"><i class="fa fa-check"></i><b>9.3.2</b> Cross-border comparison of healthcare utilisation</a></li>
+</ul></li>
+<li class="chapter" data-level="9.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#discussion-5"><i class="fa fa-check"></i><b>9.4</b> Discussion</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#acknowledgements-4"><i class="fa fa-check"></i>Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#funding-1"><i class="fa fa-check"></i>Funding</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#references-8"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
 <li class="divider"></li>
 <li class="copyright">© 2021 Matthijs Berends</li>
 

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 </ul></li>
 <li class="chapter" data-level="8" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html"><i class="fa fa-check"></i><b>8</b> Defining Multidrug Resistance of Gram-Negative Bacteria in the Dutch-German Border Region: Impact of National Guidelines</a>
 <ul>
-<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i><b>8.1</b> Abstract</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i>Abstract</a></li>
-<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.2</b> Introduction</a></li>
+<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.1</b> Introduction</a></li>
-<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.3</b> Methods</a></li>
+<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.2</b> Methods</a></li>
-<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.4</b> Results</a>
+<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.3</b> Results</a>
 <ul>
-<li class="chapter" data-level="8.4.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.4.1</b> Number of Antibiograms and Patients</a></li>
+<li class="chapter" data-level="8.3.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.3.1</b> Number of Antibiograms and Patients</a></li>
-<li class="chapter" data-level="8.4.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.4.2</b> Results of MRGN and BRMO Classification</a></li>
+<li class="chapter" data-level="8.3.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.3.2</b> Results of MRGN and BRMO Classification</a></li>
 </ul></li>
-<li class="chapter" data-level="8.5" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.5</b> Discussion</a></li>
+<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.4</b> Discussion</a></li>
-<li class="chapter" data-level="8.6" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i><b>8.6</b> Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i>Acknowledgements</a></li>
-<li class="chapter" data-level="8.7" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i><b>8.7</b> Conflicts of interest</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i>Conflicts of interest</a></li>
 <li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#references-7"><i class="fa fa-check"></i>References</a></li>
 </ul></li>
+<li class="chapter" data-level="9" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html"><i class="fa fa-check"></i><b>9</b> Changing Epidemiology of Methicillin-Resistant <em>Staphylococcus aureus</em> in 42 Hospitals in the Dutch-German Border Region, 2012 to 2016: Results of the Search-and-Follow Policy</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#abstract-7"><i class="fa fa-check"></i>Abstract</a></li>
+<li class="chapter" data-level="9.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#introduction-6"><i class="fa fa-check"></i><b>9.1</b> Introduction</a></li>
+<li class="chapter" data-level="9.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#methods-3"><i class="fa fa-check"></i><b>9.2</b> Methods</a>
+<ul>
+<li class="chapter" data-level="9.2.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#setting"><i class="fa fa-check"></i><b>9.2.1</b> Setting</a></li>
+<li class="chapter" data-level="9.2.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#guidelines-for-patients-at-risk-for-mrsa-and-infection-prevention-and-control-measures"><i class="fa fa-check"></i><b>9.2.2</b> Guidelines for patients at risk for MRSA and infection prevention and control measures</a></li>
+<li class="chapter" data-level="9.2.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-collection"><i class="fa fa-check"></i><b>9.2.3</b> Data collection</a></li>
+<li class="chapter" data-level="9.2.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#ethical-statement"><i class="fa fa-check"></i><b>9.2.4</b> Ethical statement</a></li>
+<li class="chapter" data-level="9.2.5" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-analysis"><i class="fa fa-check"></i><b>9.2.5</b> Data analysis</a></li>
+</ul></li>
+<li class="chapter" data-level="9.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#results-4"><i class="fa fa-check"></i><b>9.3</b> Results</a>
+<ul>
+<li class="chapter" data-level="9.3.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#trend-and-cross-border-comparison-of-mrsa-rates"><i class="fa fa-check"></i><b>9.3.1</b> Trend and cross-border comparison of MRSA rates</a></li>
+<li class="chapter" data-level="9.3.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#cross-border-comparison-of-healthcare-utilisation"><i class="fa fa-check"></i><b>9.3.2</b> Cross-border comparison of healthcare utilisation</a></li>
+</ul></li>
+<li class="chapter" data-level="9.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#discussion-5"><i class="fa fa-check"></i><b>9.4</b> Discussion</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#acknowledgements-4"><i class="fa fa-check"></i>Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#funding-1"><i class="fa fa-check"></i>Funding</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#references-8"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
 <li class="divider"></li>
 <li class="copyright">© 2021 Matthijs Berends</li>
 

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 <li class="chapter" data-level="8" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html"><i class="fa fa-check"></i><b>8</b> Defining Multidrug Resistance of Gram-Negative Bacteria in the Dutch-German Border Region: Impact of National Guidelines</a>
 <ul>
-<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i><b>8.1</b> Abstract</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i>Abstract</a></li>
-<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.2</b> Introduction</a></li>
+<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.1</b> Introduction</a></li>
-<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.3</b> Methods</a></li>
+<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.2</b> Methods</a></li>
-<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.4</b> Results</a>
+<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.3</b> Results</a>
 <ul>
-<li class="chapter" data-level="8.4.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.4.1</b> Number of Antibiograms and Patients</a></li>
+<li class="chapter" data-level="8.3.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.3.1</b> Number of Antibiograms and Patients</a></li>
-<li class="chapter" data-level="8.4.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.4.2</b> Results of MRGN and BRMO Classification</a></li>
+<li class="chapter" data-level="8.3.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.3.2</b> Results of MRGN and BRMO Classification</a></li>
 </ul></li>
-<li class="chapter" data-level="8.5" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.5</b> Discussion</a></li>
+<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.4</b> Discussion</a></li>
-<li class="chapter" data-level="8.6" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i><b>8.6</b> Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i>Acknowledgements</a></li>
-<li class="chapter" data-level="8.7" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i><b>8.7</b> Conflicts of interest</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i>Conflicts of interest</a></li>
 <li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#references-7"><i class="fa fa-check"></i>References</a></li>
 </ul></li>
+<li class="chapter" data-level="9" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html"><i class="fa fa-check"></i><b>9</b> Changing Epidemiology of Methicillin-Resistant <em>Staphylococcus aureus</em> in 42 Hospitals in the Dutch-German Border Region, 2012 to 2016: Results of the Search-and-Follow Policy</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#abstract-7"><i class="fa fa-check"></i>Abstract</a></li>
+<li class="chapter" data-level="9.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#introduction-6"><i class="fa fa-check"></i><b>9.1</b> Introduction</a></li>
+<li class="chapter" data-level="9.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#methods-3"><i class="fa fa-check"></i><b>9.2</b> Methods</a>
+<ul>
+<li class="chapter" data-level="9.2.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#setting"><i class="fa fa-check"></i><b>9.2.1</b> Setting</a></li>
+<li class="chapter" data-level="9.2.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#guidelines-for-patients-at-risk-for-mrsa-and-infection-prevention-and-control-measures"><i class="fa fa-check"></i><b>9.2.2</b> Guidelines for patients at risk for MRSA and infection prevention and control measures</a></li>
+<li class="chapter" data-level="9.2.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-collection"><i class="fa fa-check"></i><b>9.2.3</b> Data collection</a></li>
+<li class="chapter" data-level="9.2.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#ethical-statement"><i class="fa fa-check"></i><b>9.2.4</b> Ethical statement</a></li>
+<li class="chapter" data-level="9.2.5" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-analysis"><i class="fa fa-check"></i><b>9.2.5</b> Data analysis</a></li>
+</ul></li>
+<li class="chapter" data-level="9.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#results-4"><i class="fa fa-check"></i><b>9.3</b> Results</a>
+<ul>
+<li class="chapter" data-level="9.3.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#trend-and-cross-border-comparison-of-mrsa-rates"><i class="fa fa-check"></i><b>9.3.1</b> Trend and cross-border comparison of MRSA rates</a></li>
+<li class="chapter" data-level="9.3.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#cross-border-comparison-of-healthcare-utilisation"><i class="fa fa-check"></i><b>9.3.2</b> Cross-border comparison of healthcare utilisation</a></li>
+</ul></li>
+<li class="chapter" data-level="9.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#discussion-5"><i class="fa fa-check"></i><b>9.4</b> Discussion</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#acknowledgements-4"><i class="fa fa-check"></i>Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#funding-1"><i class="fa fa-check"></i>Funding</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#references-8"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
 <li class="divider"></li>
 <li class="copyright">© 2021 Matthijs Berends</li>
 

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 </ul></li>
 <li class="chapter" data-level="8" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html"><i class="fa fa-check"></i><b>8</b> Defining Multidrug Resistance of Gram-Negative Bacteria in the Dutch-German Border Region: Impact of National Guidelines</a>
 <ul>
-<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i><b>8.1</b> Abstract</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i>Abstract</a></li>
-<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.2</b> Introduction</a></li>
+<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.1</b> Introduction</a></li>
-<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.3</b> Methods</a></li>
+<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.2</b> Methods</a></li>
-<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.4</b> Results</a>
+<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.3</b> Results</a>
 <ul>
-<li class="chapter" data-level="8.4.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.4.1</b> Number of Antibiograms and Patients</a></li>
+<li class="chapter" data-level="8.3.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.3.1</b> Number of Antibiograms and Patients</a></li>
-<li class="chapter" data-level="8.4.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.4.2</b> Results of MRGN and BRMO Classification</a></li>
+<li class="chapter" data-level="8.3.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.3.2</b> Results of MRGN and BRMO Classification</a></li>
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-<li class="chapter" data-level="8.5" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.5</b> Discussion</a></li>
+<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.4</b> Discussion</a></li>
-<li class="chapter" data-level="8.6" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i><b>8.6</b> Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i>Acknowledgements</a></li>
-<li class="chapter" data-level="8.7" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i><b>8.7</b> Conflicts of interest</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i>Conflicts of interest</a></li>
 <li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#references-7"><i class="fa fa-check"></i>References</a></li>
 </ul></li>
+<li class="chapter" data-level="9" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html"><i class="fa fa-check"></i><b>9</b> Changing Epidemiology of Methicillin-Resistant <em>Staphylococcus aureus</em> in 42 Hospitals in the Dutch-German Border Region, 2012 to 2016: Results of the Search-and-Follow Policy</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#abstract-7"><i class="fa fa-check"></i>Abstract</a></li>
+<li class="chapter" data-level="9.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#introduction-6"><i class="fa fa-check"></i><b>9.1</b> Introduction</a></li>
+<li class="chapter" data-level="9.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#methods-3"><i class="fa fa-check"></i><b>9.2</b> Methods</a>
+<ul>
+<li class="chapter" data-level="9.2.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#setting"><i class="fa fa-check"></i><b>9.2.1</b> Setting</a></li>
+<li class="chapter" data-level="9.2.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#guidelines-for-patients-at-risk-for-mrsa-and-infection-prevention-and-control-measures"><i class="fa fa-check"></i><b>9.2.2</b> Guidelines for patients at risk for MRSA and infection prevention and control measures</a></li>
+<li class="chapter" data-level="9.2.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-collection"><i class="fa fa-check"></i><b>9.2.3</b> Data collection</a></li>
+<li class="chapter" data-level="9.2.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#ethical-statement"><i class="fa fa-check"></i><b>9.2.4</b> Ethical statement</a></li>
+<li class="chapter" data-level="9.2.5" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-analysis"><i class="fa fa-check"></i><b>9.2.5</b> Data analysis</a></li>
+</ul></li>
+<li class="chapter" data-level="9.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#results-4"><i class="fa fa-check"></i><b>9.3</b> Results</a>
+<ul>
+<li class="chapter" data-level="9.3.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#trend-and-cross-border-comparison-of-mrsa-rates"><i class="fa fa-check"></i><b>9.3.1</b> Trend and cross-border comparison of MRSA rates</a></li>
+<li class="chapter" data-level="9.3.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#cross-border-comparison-of-healthcare-utilisation"><i class="fa fa-check"></i><b>9.3.2</b> Cross-border comparison of healthcare utilisation</a></li>
+</ul></li>
+<li class="chapter" data-level="9.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#discussion-5"><i class="fa fa-check"></i><b>9.4</b> Discussion</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#acknowledgements-4"><i class="fa fa-check"></i>Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#funding-1"><i class="fa fa-check"></i>Funding</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#references-8"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
 <li class="divider"></li>
 <li class="copyright">© 2021 Matthijs Berends</li>
 

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 <li class="chapter" data-level="8" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html"><i class="fa fa-check"></i><b>8</b> Defining Multidrug Resistance of Gram-Negative Bacteria in the Dutch-German Border Region: Impact of National Guidelines</a>
 <ul>
-<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i><b>8.1</b> Abstract</a></li>
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+<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.1</b> Introduction</a></li>
-<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.3</b> Methods</a></li>
+<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.2</b> Methods</a></li>
-<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.4</b> Results</a>
+<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.3</b> Results</a>
 <ul>
-<li class="chapter" data-level="8.4.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.4.1</b> Number of Antibiograms and Patients</a></li>
+<li class="chapter" data-level="8.3.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.3.1</b> Number of Antibiograms and Patients</a></li>
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+<li class="chapter" data-level="8.3.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.3.2</b> Results of MRGN and BRMO Classification</a></li>
 </ul></li>
-<li class="chapter" data-level="8.5" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.5</b> Discussion</a></li>
+<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.4</b> Discussion</a></li>
-<li class="chapter" data-level="8.6" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i><b>8.6</b> Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i>Acknowledgements</a></li>
-<li class="chapter" data-level="8.7" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i><b>8.7</b> Conflicts of interest</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i>Conflicts of interest</a></li>
 <li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#references-7"><i class="fa fa-check"></i>References</a></li>
 </ul></li>
+<li class="chapter" data-level="9" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html"><i class="fa fa-check"></i><b>9</b> Changing Epidemiology of Methicillin-Resistant <em>Staphylococcus aureus</em> in 42 Hospitals in the Dutch-German Border Region, 2012 to 2016: Results of the Search-and-Follow Policy</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#abstract-7"><i class="fa fa-check"></i>Abstract</a></li>
+<li class="chapter" data-level="9.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#introduction-6"><i class="fa fa-check"></i><b>9.1</b> Introduction</a></li>
+<li class="chapter" data-level="9.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#methods-3"><i class="fa fa-check"></i><b>9.2</b> Methods</a>
+<ul>
+<li class="chapter" data-level="9.2.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#setting"><i class="fa fa-check"></i><b>9.2.1</b> Setting</a></li>
+<li class="chapter" data-level="9.2.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#guidelines-for-patients-at-risk-for-mrsa-and-infection-prevention-and-control-measures"><i class="fa fa-check"></i><b>9.2.2</b> Guidelines for patients at risk for MRSA and infection prevention and control measures</a></li>
+<li class="chapter" data-level="9.2.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-collection"><i class="fa fa-check"></i><b>9.2.3</b> Data collection</a></li>
+<li class="chapter" data-level="9.2.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#ethical-statement"><i class="fa fa-check"></i><b>9.2.4</b> Ethical statement</a></li>
+<li class="chapter" data-level="9.2.5" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-analysis"><i class="fa fa-check"></i><b>9.2.5</b> Data analysis</a></li>
+</ul></li>
+<li class="chapter" data-level="9.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#results-4"><i class="fa fa-check"></i><b>9.3</b> Results</a>
+<ul>
+<li class="chapter" data-level="9.3.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#trend-and-cross-border-comparison-of-mrsa-rates"><i class="fa fa-check"></i><b>9.3.1</b> Trend and cross-border comparison of MRSA rates</a></li>
+<li class="chapter" data-level="9.3.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#cross-border-comparison-of-healthcare-utilisation"><i class="fa fa-check"></i><b>9.3.2</b> Cross-border comparison of healthcare utilisation</a></li>
+</ul></li>
+<li class="chapter" data-level="9.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#discussion-5"><i class="fa fa-check"></i><b>9.4</b> Discussion</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#acknowledgements-4"><i class="fa fa-check"></i>Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#funding-1"><i class="fa fa-check"></i>Funding</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#references-8"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
 <li class="divider"></li>
 <li class="copyright">© 2021 Matthijs Berends</li>
 
@@ -348,20 +370,20 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
 <li>Certe Medical Diagnostics &amp; Advice Foundation, Groningen, the Netherlands</li>
 <li>University of Groningen, University Medical Center Groningen, Department of Medical Microbiology, Groningen, the Netherlands</li>
 </ol>
-<div id="abstract-6" class="section level2" number="8.1">
+<div id="abstract-6" class="section level2 unnumbered">
-<h2><span class="header-section-number">8.1</span> Abstract</h2>
+<h2>Abstract</h2>
 <p>Preventing the spread of multidrug-resistant Gram-negative bacteria (MDRGNB) is a public health priority. However, the definition of MDRGNB applied for planning infection prevention measures such as barrier precautions differs depending on national guidelines. This is particularly relevant in the Dutch-German border region, where patients are transferred between healthcare facilities located in the two different countries, because clinicians and infection control personnel must understand antibiograms indicating MDRGNB from both sides of the border and using both national guidelines. This retrospective study aimed to compare antibiograms of Gram-negative bacteria and classify them using the Dutch and German national standards for MDRGNB definition. A total of 31,787 antibiograms from six Dutch and four German hospitals were classified. Overall, 73.7% were no MDRGNB according to both guidelines. According to the Dutch and German guideline, 7772/31,787 (24.5%) and 4586/31,787 (12.9%) were MDRGNB, respectively (<em>p</em> &lt; 0.0001). Major divergent classifications were observed for extended-spectrum β-lactamase (ESBL) producing <em>Enterobacteriaceae</em>, non-carbapenemase-producing carbapenem-resistant <em>Enterobacteriaceae</em>, <em>Pseudomonas aeruginosa</em> and <em>Stenotrophomonas maltophilia</em>. The observed differences show that medical staff must carefully check previous diagnostic findings when patients are transferred across the Dutch-German border, as it cannot be assumed that MDRGNB requiring special hygiene precautions are marked in the transferred antibiograms in accordance with both national guidelines.</p>
 </div>
-<div id="introduction-5" class="section level2" number="8.2">
+<div id="introduction-5" class="section level2" number="8.1">
-<h2><span class="header-section-number">8.2</span> Introduction</h2>
+<h2><span class="header-section-number">8.1</span> Introduction</h2>
 <p>Antimicrobial multidrug-resistant Gram-negative bacteria (MDRGNB) globally challenge clinicians and infection control personnel due to limited treatment options and the need to implement barrier precautions for preventing MDRGNB transmission <sup>[1]</sup>. Comparing this challenge is particularly interesting in neighbouring regions characterised by highly developed but structurally different healthcare systems. An example for such a region is the Dutch-German border area, which is inhabited by 12 million people and comprises &gt;100 hospitals.</p>
 <p>In the Netherlands and Germany, surveillance systems currently indicate that 7.0% and 11.8% of all <em>Escherichia coli</em> and 10.8% and 14.3% of all <em>Klebsiella pneumoniae</em> isolated from blood cultures are non-susceptible to third-generation-cephalosporins indicative for production of extended-spectrum β-lactamases (ESBL) <sup>[2]</sup>. Moreover, carbapenemase-producing <em>Enterobacteriaceae</em> (CPE) occur in both countries, although the overall meropenem or imipenem resistance rates of <em>Enterobacteriaceae</em> (e.g., <em>Klebsiella spp.</em>) are still &lt;1% <sup>[2]</sup>. Thirdly, carbapenem resistance in <em>Acinetobacter baumannii</em>, which is often due to carbapenem-hydrolysing oxacillinase (OXA) production, affects 1.9% and 5.4% of all invasive isolates in The Netherlands and Germany respectively <sup>[2]</sup>. A fourth clinically relevant species is <em>Pseudomonas aeruginosa.</em> For this bacterium, 11% and 18% of all isolates from bloodstream infections were non-susceptible to ceftazidime and meropenem in Germany, respectively. In contrast, resistance rates were 3.5% and 6.1% in The Netherlands <sup>[2]</sup>.</p>
 <p>Nosocomial transmission is a major reason why the incidence of MDRGNB increases. Hence, infection control guidelines describing measures to prevent MDRGNB dissemination are implemented in many countries including The Netherlands and Germany. However, it should be noted that, according to data from the European Centre for Disease Prevention and Control (ECDC), Germany is currently considered as a country, where CPE are regionally endemic indicating inter-institutional spread, while their occurrence is more limited in The Netherlands. The same is observed for carbapenem-resistant <em>A. baumannii</em> <sup>[3]</sup>. This highlights the need to critically evaluate and compare infection control guidelines, as well as different risks for MDRGNB spread in these two countries.</p>
 <p>In this context, one aspect is the definition of MDRGNB. Although definitions for multidrug resistance in epidemiological studies are available <sup>[4]</sup>, and although theoretically CPE or ESBL-producing <em>Enterobacteriaceae</em> are clearly defined by harbouring respective resistance encoding genes, the questions concerning what MDRGNB are in clinical routine and for which MDRGNB special barrier precautions should be implemented, are not universally defined. Moreover, it is important to differentiate between MDRGNB definitions established for therapeutic decisions and those created for epidemiological purposes and infection prevention <sup>[4]</sup>. Recently, Müller <em>et al.</em> have pointed out differences between the Dutch and German guidelines regarding the advice they give to laboratories and infection control personnel, which Gram-negative bacteria and antimicrobial resistance patterns should be considered as MDRGNB <sup>[5]</sup>. As patient movement across the Dutch-German border is not infrequent, such divergent definitions could result in reduced patient safety, because isolates requiring isolation in the hospital abroad are not flagged as being multidrug-resistant on the microbiological reports.</p>
 <p>Hence, in this article, we collected antibiograms of Gram-negative bacteria from Dutch and German hospitals located in the border region and applied both national MDRGNB definitions for infection prevention measures on this dataset. The results of this comparison shall clarify the differences between the two countries and estimate the impact of these differences for daily infection control practice.</p>
 </div>
-<div id="methods-2" class="section level2" number="8.3">
+<div id="methods-2" class="section level2" number="8.2">
-<h2><span class="header-section-number">8.3</span> Methods</h2>
+<h2><span class="header-section-number">8.2</span> Methods</h2>
 <p>We retrospectively extracted antibiograms of Gram-negative bacteria from laboratory information systems. Data about phenotypic and genotypic ESBL and carbapenemase tests performed for the respective bacterial isolates were also extracted, if available. All isolates included originate from patients treated in six Dutch and four German hospitals. All hospitals are located in the Dutch-German border region including the Northern part (Ems Dollart region) and the central part (EUREGIO). Five of six Dutch hospitals provided datasets from 1 January 2015 to 31 December 2016, because only a small number of samples was tested in these facilities; the sixth Dutch hospital and the German hospitals provided data for 2016 only. Antimicrobial susceptibility testing was done using guidelines of the European Committee on Antimicrobial Susceptibility Testing (EUCAST) guidelines and clinical breakpoints in all laboratories.</p>
 <p>Anonymisation of patient-related and hospital-related data was done before analysis. We initially included all Gram-negative bacterial species and then restricted the dataset to <em>Enterobacteriaceae</em>, P. aeruginosa, <em>A. baumannii</em> complex, and <em>Stenotrophomonas maltophilia</em>, as these are the species for which recommendations regarding MDRGNB definitions and special hygiene precautions are included in Dutch and German infection control guidelines <sup>[6,7]</sup>. We included all isolates; duplicate isolates from the same patient were not removed. Classification of MDRGNB was done according the German national guideline (MDRGNB classified according to this guideline are henceforth designated “Multiresistente Gramnegative Stäbchen,” MRGN, with the subtypes 3MRGN and 4MRGN) summarised in Table 1 <sup>[6]</sup> and according to the Dutch national guideline (MDRGNB according to this guideline are henceforth designated “Bijzonder Resistente Micro-Organismen,” BRMO) shown in Table 2 <sup>[7]</sup>, for all isolates including complete phenotypic susceptibility test data for the antibiotics mentioned. Incomplete antibiograms were deleted from the dataset.</p>
 <p class="tbl-caption">
@@ -374,15 +396,15 @@ Table 2. Classification according to Dutch guideline into BRMO.
 <p><img src="images/08-t02.jpg" width="100%" style="display: block; margin: auto;" /></p>
 <p>Statistical analysis was done by Epi Info (version 7.0, CDC Atlanta, Atlanta, GA, USA) using Chi-Square or (where appropriate) Fisher’s exact test; <em>p</em> &lt; 0.05 was considered significant. The final dataset does not allow for conclusions about the epidemiology or the prevalence of MDRGNB, as it contains both isolates obtained from screening asymptomatic patients and clinical specimens. Moreover, the diagnostic procedures and indications for screening and clinical diagnostics were not harmonised in the participating laboratories and hospitals.</p>
 </div>
-<div id="results-3" class="section level2" number="8.4">
+<div id="results-3" class="section level2" number="8.3">
-<h2><span class="header-section-number">8.4</span> Results</h2>
+<h2><span class="header-section-number">8.3</span> Results</h2>
-<div id="number-of-antibiograms-and-patients" class="section level3" number="8.4.1">
+<div id="number-of-antibiograms-and-patients" class="section level3" number="8.3.1">
-<h3><span class="header-section-number">8.4.1</span> Number of Antibiograms and Patients</h3>
+<h3><span class="header-section-number">8.3.1</span> Number of Antibiograms and Patients</h3>
 <p>Initially, 35,619 antibiograms were included of which 12,616 were from Dutch and 23,003 from German hospitals. The 12,616 isolates were from five Dutch secondary-care hospitals (n = 4,377; from 2015 to 2016) and one Dutch university-hospital (n = 8,239, 2016), and the 23,003 isolates were from three German secondary-care hospitals (n = 6,914, 2016) and one German university-hospital (n = 16,089, 2016). Overall, 80.9% of all isolates were <em>Enterobacteriaceae</em> and 19.1% non-fermenting Gram-negative bacteria.</p>
 <p>When analysing the data, two major limitations occurred: (i) For <em>Enterobacteriaceae</em>, the Dutch classification system could not be applied for 3,832 isolates, because they were not tested for the presence of ESBLs or test results were unclear (n = 3,720 isolates from the German hospitals and n = 112 from Dutch hospitals). This is because testing for the presence of ESBL is not required by the German MRGN classification system (and is often not performed in German laboratories except for <em>E. coli</em> and <em>Klebsiella spp.</em>, where this test is routinely implemented in automated systems used for antimicrobial susceptibility testing). These isolates were therefore excluded from further analysis, which reduced the total number of isolates analysed to 31,787. (ii) Overall, we lacked data for the results of carbapenemase PCRs for non-fermenting bacteria. As carbapenemase PCRs are not required for classification in the German system, these results were not available for 4,651 <em>P. aeruginosa</em> isolates from German hospitals. Since no VIM-carbapenemase was reported for the 1,205 <em>P. aeruginosa</em> isolates from Dutch hospitals, we coped with this problem by assuming that the German <em>P. aeruginosa</em> isolates were also VIM-negative and classified these isolates accordingly when applying the Dutch guideline. In contrast, for <em>A. baumannii</em>, we considered all carbapenem-resistant isolates as carbapenemase producers when applying the Dutch guidelines. For <em>Enterobacteriaceae</em>, test results were available, because German laboratories test the isolates in line with quality management measures.</p>
 </div>
-<div id="results-of-mrgn-and-brmo-classification" class="section level3" number="8.4.2">
+<div id="results-of-mrgn-and-brmo-classification" class="section level3" number="8.3.2">
-<h3><span class="header-section-number">8.4.2</span> Results of MRGN and BRMO Classification</h3>
+<h3><span class="header-section-number">8.3.2</span> Results of MRGN and BRMO Classification</h3>
 <p>According to the Dutch classification system, 7,772/31,787 (24.5%) isolates were BRMO. Applying the German classification system on the same antibiograms resulted in the identification of 4,586/31l,787 (12.9%) MRGN (<em>p</em> &lt; 0.0001). Table 3 shows where the two classification systems had the most divergent results on genus or species level.</p>
 <p class="tbl-caption">
 Table 3. Differences in using Dutch and German multidrug resistance classification systems.
@@ -403,19 +425,19 @@ Table 4. Correlation matrix between the Dutch BRMO-classification and the German
 <p><img src="images/08-t04.jpg" width="100%" style="display: block; margin: auto;" /></p>
 </div>
 </div>
-<div id="discussion-4" class="section level2" number="8.5">
+<div id="discussion-4" class="section level2" number="8.4">
-<h2><span class="header-section-number">8.5</span> Discussion</h2>
+<h2><span class="header-section-number">8.4</span> Discussion</h2>
 <p>When patients are transferred between hospitals, information regarding MDRGNB colonisation or infection must also be transferred to ensure continuous implementation of infection control measures. This is usually supported by indicating on antibiograms, which are included in the records of a transferred patient, whether the respective bacteria are multidrug-resistant according to the national guideline. For cross-border healthcare, this implies that clinicians or infection control staff can interpret antibiograms according to guidelines from both countries or understand foreign ‘MDRGNB languages.’ The aim of this study was to describe different classifications used in The Netherlands and Germany in order to estimate the risk, which might be caused when patients infected or colonised with MDRGNB are transferred across the border without recognizing the respective bacteria as multidrug-resistant.</p>
 <p>When planning the data analysis, a first hurdle occurred when the authors tried to actually understand the respective classification guidelines in detail. We learned that parts of the practical applicability of the guidelines (from both sides of the border) are rather locally defined. For example, in the Dutch guideline, it is not explicitly mentioned for <em>Enterobacteriaceae</em>, which fluoroquinolones (e.g., ciprofloxacin, levofloxacin, norfloxacin, moxifloxacin) and aminoglycosides (e.g., gentamicin, tobramycin, amikacin) should be considered for the classification of which bacterial species and how to categorise, if one quinolone is resistant and the other susceptible. In the German guideline, some exceptional rules, such as ignoring imipenem non-susceptibility in <em>Serratia</em> or <em>Proteus</em> for the classification (due to unreliable test results) are not mentioned and can only be concluded from other guidance papers or publications of German reference laboratories. This might cause problems if microbiological laboratories are working across the border and might be perceived as a lack of transparency. This issue could be improved when national policy makers published more detailed standard operating procedures for laboratories where the problems occurring in daily routine are more accurately described.</p>
 <p>Overall, the Dutch guideline makes it more laborious for a microbiological laboratory to actually classify an isolate as MDRGNB (tests for phenotypic ESBL-production and VIM-carbapenemase encoding genes). This might reflect structural differences in the organisation of microbiological diagnostics between the two countries, as more laborious confirmation testing requires using more financial resources.</p>
 <p>When comparing the Dutch and the German classification systems for MDRGNB (Table 4), we found very divergent results. The bulk of isolates, which were classified differently, were <em>E. coli</em> and <em>Klebsiella</em> isolates characterised by ESBL-production, but being susceptible to fluoroquinolones. In German hospitals, no other than basic hygiene measures are taken for patients colonised or infected with these strains. This can be criticised, because spread of ESBL-producers might increase carbapenem use. Moreover, ESBLs are usually encoded on plasmids, which can be transferred independently from the bacterial clone even to other bacterial species. However, recent investigations have shown, that clonal spread of ESBL-<em>E. coli</em> in healthcare settings is rarely observed <sup>[8,9]</sup>. A second reason for divergent classifications was that the Dutch guideline uses combined fluoroquinolone and aminoglycoside resistance as a criterion for multidrug resistance. Aminoglycosides are not considered in the German guideline, maybe due to their limited and decreasing use in German hospitals compared with the Netherlands (&lt;0.5 vs. 3.7 daily defined doses (DDD)/100 patient-days) <sup>[10,11]</sup>. Thirdly, major differences were also found for <em>P. aeruginosa</em>. Many of the very broadly resistant <em>P. aeruginosa</em> isolates, for which colistin, tobramycin, or new β-lactams (such as ceftolozane/tazobactam) were the only remaining treatment options, were not classified as MDRGNB by the Dutch guideline, because VIM-carbapenemases were not detected. In this context, we clearly overestimated the disagreement between the Dutch and German guideline (Table 4), because we considered all 1,107 carbapenem-resistant <em>P. aeruginosa</em> isolates (of 5,058 not classified as BRMO) as VIM-negative. This is not probable as it is well known that in Germany up to 24% of carbapenem-resistant <em>P. aeruginosa</em> isolates harbour carbapenemases among which VIM is predominant <sup>[12]</sup>. This points towards a major limitation of this study. Since the analysis was not prospectively planned, we had to cope with missing data. Of course, excluding 3,832 antibiograms (which is &gt;10% of the antibiograms collected in the participating hospitals) due to a lack of information about phenotypic ESBL-test results for non-<em>E. coli</em>/non-<em>Klebsiella</em> isolates might have caused significant impact on the results. However, the total numbers <em>Enterobacter</em>, <em>Citrobacter</em>, or <em>Hafnia</em> isolates included from both sides of the border was comparable. Overall, the results of this study demonstrate that in contrast to other multidrug-resistant bacteria such as methicillin-resistant <em>Staphylococcus aureus</em> or vancomycin-resistant enterococci, those resistance pheno- or genotypes that define Gram-negative bacteria as MDRGNB markedly differ between the Netherlands and Germany. For cross-border care, the easiest solution would be to harmonise the classification rules of both countries. As long as this is not done, the full antibiogram data of Gram-negative bacteria should be transferred together with the patient in order to enable classification by local infection control staff.</p>
 </div>
-<div id="acknowledgements-3" class="section level2" number="8.6">
+<div id="acknowledgements-3" class="section level2 unnumbered">
-<h2><span class="header-section-number">8.6</span> Acknowledgements</h2>
+<h2>Acknowledgements</h2>
 <p>This study was supported by the INTERREG V A (202085) funded project EurHealth-1Health, part of a Dutch-German cross-border network supported by the European Commission, the Dutch Ministry of Health, Welfare and Sport (VWS), the Ministry of Economy, Innovation, Digitalisation and Energy of the German Federal State of North Rhine-Westphalia and the German Federal State of Lower Saxony.</p>
 </div>
-<div id="conflicts-of-interest" class="section level2" number="8.7">
+<div id="conflicts-of-interest" class="section level2 unnumbered">
-<h2><span class="header-section-number">8.7</span> Conflicts of interest</h2>
+<h2>Conflicts of interest</h2>
 <p>The authors declare no conflict of interest. The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.</p>
 </div>
 <div id="references-7" class="section level2 unnumbered">
@@ -442,8 +464,8 @@ Table 4. Correlation matrix between the Dutch BRMO-classification and the German
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+<ul class="summary">
+<li><a href="https://doi.org/10.33612/diss.177417131" target="blank"><img src="images/cover.jpg" style="width:90%; margin-left:5%;"></a></li>
+
+<li class="divider"></li>
+<li class="chapter" data-level="" data-path="index.html"><a href="index.html"><i class="fa fa-check"></i>Preamble</a>
+<ul>
+<li class="chapter" data-level="" data-path="index.html"><a href="index.html#short-summary-250-words"><i class="fa fa-check"></i>Short summary (250 words)</a></li>
+</ul></li>
+<li class="chapter" data-level="" data-path="colophon.html"><a href="colophon.html"><i class="fa fa-check"></i>Colophon</a></li>
+<li class="chapter" data-level="" data-path="contents.html"><a href="contents.html"><i class="fa fa-check"></i>Contents</a></li>
+<li class="chapter" data-level="1" data-path="ch01-introduction.html"><a href="ch01-introduction.html"><i class="fa fa-check"></i><b>1</b> General Introduction</a>
+<ul>
+<li class="chapter" data-level="1.1" data-path="ch01-introduction.html"><a href="ch01-introduction.html#microbial-epidemiology"><i class="fa fa-check"></i><b>1.1</b> Microbial epidemiology</a></li>
+<li class="chapter" data-level="1.2" data-path="ch01-introduction.html"><a href="ch01-introduction.html#antimicrobial-resistance-in-microorganisms"><i class="fa fa-check"></i><b>1.2</b> Antimicrobial resistance in microorganisms</a>
+<ul>
+<li class="chapter" data-level="1.2.1" data-path="ch01-introduction.html"><a href="ch01-introduction.html#laboratory-diagnostics"><i class="fa fa-check"></i><b>1.2.1</b> Laboratory diagnostics</a></li>
+<li class="chapter" data-level="1.2.2" data-path="ch01-introduction.html"><a href="ch01-introduction.html#interpretation-of-raw-results"><i class="fa fa-check"></i><b>1.2.2</b> Interpretation of raw results</a></li>
+<li class="chapter" data-level="1.2.3" data-path="ch01-introduction.html"><a href="ch01-introduction.html#multi-drug-resistant-organisms"><i class="fa fa-check"></i><b>1.2.3</b> Multi-drug resistant organisms</a></li>
+<li class="chapter" data-level="1.2.4" data-path="ch01-introduction.html"><a href="ch01-introduction.html#surveillance-programs"><i class="fa fa-check"></i><b>1.2.4</b> Surveillance programs</a></li>
+</ul></li>
+<li class="chapter" data-level="1.3" data-path="ch01-introduction.html"><a href="ch01-introduction.html#data-analysis-using-r"><i class="fa fa-check"></i><b>1.3</b> Data analysis using R</a></li>
+<li class="chapter" data-level="1.4" data-path="ch01-introduction.html"><a href="ch01-introduction.html#setting-for-this-thesis"><i class="fa fa-check"></i><b>1.4</b> Setting for this thesis</a></li>
+<li class="chapter" data-level="1.5" data-path="ch01-introduction.html"><a href="ch01-introduction.html#aim-of-this-thesis-and-introduction-to-its-chapters"><i class="fa fa-check"></i><b>1.5</b> Aim of this thesis and introduction to its chapters</a></li>
+<li class="chapter" data-level="" data-path="ch01-introduction.html"><a href="ch01-introduction.html#references"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
+<li class="chapter" data-level="2" data-path="ch02-diagnostic-stewardship.html"><a href="ch02-diagnostic-stewardship.html"><i class="fa fa-check"></i><b>2</b> Diagnostic Stewardship: Sense or Nonsense?!</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch02-diagnostic-stewardship.html"><a href="ch02-diagnostic-stewardship.html#abstract"><i class="fa fa-check"></i>Abstract</a></li>
+<li class="chapter" data-level="2.1" data-path="ch02-diagnostic-stewardship.html"><a href="ch02-diagnostic-stewardship.html#introduction"><i class="fa fa-check"></i><b>2.1</b> Introduction</a>
+<ul>
+<li class="chapter" data-level="2.1.1" data-path="ch02-diagnostic-stewardship.html"><a href="ch02-diagnostic-stewardship.html#case-1"><i class="fa fa-check"></i><b>2.1.1</b> Case 1</a></li>
+<li class="chapter" data-level="2.1.2" data-path="ch02-diagnostic-stewardship.html"><a href="ch02-diagnostic-stewardship.html#case-2"><i class="fa fa-check"></i><b>2.1.2</b> Case 2</a></li>
+</ul></li>
+<li class="chapter" data-level="2.2" data-path="ch02-diagnostic-stewardship.html"><a href="ch02-diagnostic-stewardship.html#the-general-concept"><i class="fa fa-check"></i><b>2.2</b> The general concept</a>
+<ul>
+<li class="chapter" data-level="2.2.1" data-path="ch02-diagnostic-stewardship.html"><a href="ch02-diagnostic-stewardship.html#diagnostics"><i class="fa fa-check"></i><b>2.2.1</b> ‘Diagnostics’</a></li>
+<li class="chapter" data-level="2.2.2" data-path="ch02-diagnostic-stewardship.html"><a href="ch02-diagnostic-stewardship.html#dsp-in-the-microbiological-laboratory"><i class="fa fa-check"></i><b>2.2.2</b> DSP in the microbiological laboratory</a></li>
+<li class="chapter" data-level="2.2.3" data-path="ch02-diagnostic-stewardship.html"><a href="ch02-diagnostic-stewardship.html#dsp-as-process-optimisation"><i class="fa fa-check"></i><b>2.2.3</b> DSP as process optimisation</a></li>
+<li class="chapter" data-level="2.2.4" data-path="ch02-diagnostic-stewardship.html"><a href="ch02-diagnostic-stewardship.html#multidisciplinary-aspects-of-dsp-and-infection-management"><i class="fa fa-check"></i><b>2.2.4</b> Multidisciplinary aspects of DSP and infection management</a></li>
+</ul></li>
+<li class="chapter" data-level="2.3" data-path="ch02-diagnostic-stewardship.html"><a href="ch02-diagnostic-stewardship.html#conclusion"><i class="fa fa-check"></i><b>2.3</b> Conclusion</a></li>
+<li class="chapter" data-level="" data-path="ch02-diagnostic-stewardship.html"><a href="ch02-diagnostic-stewardship.html#financing"><i class="fa fa-check"></i>Financing</a></li>
+<li class="chapter" data-level="" data-path="ch02-diagnostic-stewardship.html"><a href="ch02-diagnostic-stewardship.html#references-1"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
+<li class="chapter" data-level="3" data-path="ch03-introducing-new-method.html"><a href="ch03-introducing-new-method.html"><i class="fa fa-check"></i><b>3</b> Introducing a New, Free, and Independent Method for Standardised, Reproducible and Reliable Analyses of Antimicrobial Resistance Data</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch03-introducing-new-method.html"><a href="ch03-introducing-new-method.html#abstract-1"><i class="fa fa-check"></i>Abstract</a></li>
+<li class="chapter" data-level="3.1" data-path="ch03-introducing-new-method.html"><a href="ch03-introducing-new-method.html#background"><i class="fa fa-check"></i><b>3.1</b> Background</a></li>
+<li class="chapter" data-level="3.2" data-path="ch03-introducing-new-method.html"><a href="ch03-introducing-new-method.html#standardising-amr-data-analysis"><i class="fa fa-check"></i><b>3.2</b> Standardising AMR data analysis</a></li>
+<li class="chapter" data-level="3.3" data-path="ch03-introducing-new-method.html"><a href="ch03-introducing-new-method.html#comparison-with-existing-software-methods"><i class="fa fa-check"></i><b>3.3</b> Comparison with existing software methods</a></li>
+<li class="chapter" data-level="3.4" data-path="ch03-introducing-new-method.html"><a href="ch03-introducing-new-method.html#user-feedback"><i class="fa fa-check"></i><b>3.4</b> User feedback</a></li>
+<li class="chapter" data-level="3.5" data-path="ch03-introducing-new-method.html"><a href="ch03-introducing-new-method.html#conclusion-1"><i class="fa fa-check"></i><b>3.5</b> Conclusion</a></li>
+<li class="chapter" data-level="" data-path="ch03-introducing-new-method.html"><a href="ch03-introducing-new-method.html#references-2"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
+<li class="chapter" data-level="4" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html"><i class="fa fa-check"></i><b>4</b> <code>AMR</code> - An <code>R</code> Package for Working with Antimicrobial Resistance Data</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#abstract-2"><i class="fa fa-check"></i>Abstract</a></li>
+<li class="chapter" data-level="4.1" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#introduction-1"><i class="fa fa-check"></i><b>4.1</b> Introduction</a></li>
+<li class="chapter" data-level="4.2" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#antimicrobial-resistance-data"><i class="fa fa-check"></i><b>4.2</b> Antimicrobial resistance data</a></li>
+<li class="chapter" data-level="4.3" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#antimicrobial-resistance-data-transformation"><i class="fa fa-check"></i><b>4.3</b> Antimicrobial resistance data transformation</a>
+<ul>
+<li class="chapter" data-level="4.3.1" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#working-with-taxonomically-valid-microorganism-names"><i class="fa fa-check"></i><b>4.3.1</b> Working with taxonomically valid microorganism names</a></li>
+<li class="chapter" data-level="4.3.2" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#working-with-antimicrobial-names-or-codes"><i class="fa fa-check"></i><b>4.3.2</b> Working with antimicrobial names or codes</a></li>
+<li class="chapter" data-level="4.3.3" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#working-with-antimicrobial-susceptibility-test-results"><i class="fa fa-check"></i><b>4.3.3</b> Working with antimicrobial susceptibility test results</a></li>
+<li class="chapter" data-level="4.3.4" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#interpretative-rules-by-eucast"><i class="fa fa-check"></i><b>4.3.4</b> Interpretative rules by EUCAST</a></li>
+<li class="chapter" data-level="4.3.5" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#working-with-defined-daily-doses-ddd"><i class="fa fa-check"></i><b>4.3.5</b> Working with defined daily doses (DDD)</a></li>
+</ul></li>
+<li class="chapter" data-level="4.4" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#enhancing-antimicrobial-resistance-data"><i class="fa fa-check"></i><b>4.4</b> Enhancing antimicrobial resistance data</a>
+<ul>
+<li class="chapter" data-level="4.4.1" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#determining-first-isolates"><i class="fa fa-check"></i><b>4.4.1</b> Determining first isolates</a></li>
+<li class="chapter" data-level="4.4.2" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#determining-multi-drug-resistant-organisms-mdro"><i class="fa fa-check"></i><b>4.4.2</b> Determining multi-drug resistant organisms (MDRO)</a></li>
+</ul></li>
+<li class="chapter" data-level="4.5" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#analysing-antimicrobial-resistance-data"><i class="fa fa-check"></i><b>4.5</b> Analysing antimicrobial resistance data</a>
+<ul>
+<li class="chapter" data-level="4.5.1" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#calculation-of-antimicrobial-resistance"><i class="fa fa-check"></i><b>4.5.1</b> Calculation of antimicrobial resistance</a></li>
+</ul></li>
+<li class="chapter" data-level="4.6" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#design-decisions"><i class="fa fa-check"></i><b>4.6</b> Design decisions</a></li>
+<li class="chapter" data-level="4.7" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#reproducible-example"><i class="fa fa-check"></i><b>4.7</b> Reproducible example</a></li>
+<li class="chapter" data-level="4.8" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#discussion"><i class="fa fa-check"></i><b>4.8</b> Discussion</a></li>
+<li class="chapter" data-level="" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#computational-details"><i class="fa fa-check"></i>Computational Details</a></li>
+<li class="chapter" data-level="" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#acknowledgements"><i class="fa fa-check"></i>Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#references-3"><i class="fa fa-check"></i>References</a></li>
+<li class="chapter" data-level="" data-path="ch04-amr-r-package.html"><a href="ch04-amr-r-package.html#appendix-a-included-data-sets"><i class="fa fa-check"></i>Appendix A: Included Data Sets</a></li>
+</ul></li>
+<li class="chapter" data-level="5" data-path="ch05-radar.html"><a href="ch05-radar.html"><i class="fa fa-check"></i><b>5</b> Rapid Analysis of Diagnostic and Antimicrobial Patterns in R (RadaR): Interactive Open-Source Software App for Infection Management and Antimicrobial Stewardship</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch05-radar.html"><a href="ch05-radar.html#abstract-3"><i class="fa fa-check"></i>Abstract</a></li>
+<li class="chapter" data-level="5.1" data-path="ch05-radar.html"><a href="ch05-radar.html#introduction-2"><i class="fa fa-check"></i><b>5.1</b> Introduction</a>
+<ul>
+<li class="chapter" data-level="5.1.1" data-path="ch05-radar.html"><a href="ch05-radar.html#background-1"><i class="fa fa-check"></i><b>5.1.1</b> Background</a></li>
+<li class="chapter" data-level="5.1.2" data-path="ch05-radar.html"><a href="ch05-radar.html#objectives"><i class="fa fa-check"></i><b>5.1.2</b> Objectives</a></li>
+</ul></li>
+<li class="chapter" data-level="5.2" data-path="ch05-radar.html"><a href="ch05-radar.html#methods"><i class="fa fa-check"></i><b>5.2</b> Methods</a></li>
+<li class="chapter" data-level="5.3" data-path="ch05-radar.html"><a href="ch05-radar.html#results"><i class="fa fa-check"></i><b>5.3</b> Results</a>
+<ul>
+<li class="chapter" data-level="5.3.1" data-path="ch05-radar.html"><a href="ch05-radar.html#overview"><i class="fa fa-check"></i><b>5.3.1</b> Overview</a></li>
+<li class="chapter" data-level="5.3.2" data-path="ch05-radar.html"><a href="ch05-radar.html#application-design"><i class="fa fa-check"></i><b>5.3.2</b> Application Design</a></li>
+<li class="chapter" data-level="5.3.3" data-path="ch05-radar.html"><a href="ch05-radar.html#development-process"><i class="fa fa-check"></i><b>5.3.3</b> Development Process</a></li>
+<li class="chapter" data-level="5.3.4" data-path="ch05-radar.html"><a href="ch05-radar.html#workflow"><i class="fa fa-check"></i><b>5.3.4</b> Workflow</a></li>
+<li class="chapter" data-level="5.3.5" data-path="ch05-radar.html"><a href="ch05-radar.html#customisation"><i class="fa fa-check"></i><b>5.3.5</b> Customisation</a></li>
+</ul></li>
+<li class="chapter" data-level="5.4" data-path="ch05-radar.html"><a href="ch05-radar.html#discussion-1"><i class="fa fa-check"></i><b>5.4</b> Discussion</a>
+<ul>
+<li class="chapter" data-level="5.4.1" data-path="ch05-radar.html"><a href="ch05-radar.html#principal-findings"><i class="fa fa-check"></i><b>5.4.1</b> Principal Findings</a></li>
+<li class="chapter" data-level="5.4.2" data-path="ch05-radar.html"><a href="ch05-radar.html#conclusions"><i class="fa fa-check"></i><b>5.4.2</b> Conclusions</a></li>
+</ul></li>
+<li class="chapter" data-level="" data-path="ch05-radar.html"><a href="ch05-radar.html#acknowledgements-1"><i class="fa fa-check"></i>Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch05-radar.html"><a href="ch05-radar.html#conflicts-of-interests"><i class="fa fa-check"></i>Conflicts of interests</a></li>
+<li class="chapter" data-level="" data-path="ch05-radar.html"><a href="ch05-radar.html#references-4"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
+<li class="chapter" data-level="6" data-path="ch06-radar2.html"><a href="ch06-radar2.html"><i class="fa fa-check"></i><b>6</b> Better Antimicrobial Resistance Data Analysis and Reporting in Less Time</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch06-radar2.html"><a href="ch06-radar2.html#abstract-4"><i class="fa fa-check"></i>Abstract</a></li>
+<li class="chapter" data-level="6.1" data-path="ch06-radar2.html"><a href="ch06-radar2.html#introduction-3"><i class="fa fa-check"></i><b>6.1</b> Introduction</a></li>
+<li class="chapter" data-level="6.2" data-path="ch06-radar2.html"><a href="ch06-radar2.html#methods-1"><i class="fa fa-check"></i><b>6.2</b> Methods</a>
+<ul>
+<li class="chapter" data-level="6.2.1" data-path="ch06-radar2.html"><a href="ch06-radar2.html#study-setup"><i class="fa fa-check"></i><b>6.2.1</b> Study setup</a></li>
+<li class="chapter" data-level="6.2.2" data-path="ch06-radar2.html"><a href="ch06-radar2.html#amr-data"><i class="fa fa-check"></i><b>6.2.2</b> AMR data</a></li>
+<li class="chapter" data-level="6.2.3" data-path="ch06-radar2.html"><a href="ch06-radar2.html#amr-data-analysis-and-reporting"><i class="fa fa-check"></i><b>6.2.3</b> AMR data analysis and reporting</a></li>
+<li class="chapter" data-level="6.2.4" data-path="ch06-radar2.html"><a href="ch06-radar2.html#study-participants"><i class="fa fa-check"></i><b>6.2.4</b> Study participants</a></li>
+<li class="chapter" data-level="6.2.5" data-path="ch06-radar2.html"><a href="ch06-radar2.html#study-execution-and-data"><i class="fa fa-check"></i><b>6.2.5</b> Study execution and data</a></li>
+<li class="chapter" data-level="6.2.6" data-path="ch06-radar2.html"><a href="ch06-radar2.html#evaluation-and-study-data-analysis"><i class="fa fa-check"></i><b>6.2.6</b> Evaluation and study data analysis</a></li>
+</ul></li>
+<li class="chapter" data-level="6.3" data-path="ch06-radar2.html"><a href="ch06-radar2.html#results-1"><i class="fa fa-check"></i><b>6.3</b> Results</a>
+<ul>
+<li class="chapter" data-level="6.3.1" data-path="ch06-radar2.html"><a href="ch06-radar2.html#study-participants-1"><i class="fa fa-check"></i><b>6.3.1</b> Study participants</a></li>
+<li class="chapter" data-level="6.3.2" data-path="ch06-radar2.html"><a href="ch06-radar2.html#effectiveness-and-accuracy"><i class="fa fa-check"></i><b>6.3.2</b> Effectiveness and accuracy</a></li>
+<li class="chapter" data-level="6.3.3" data-path="ch06-radar2.html"><a href="ch06-radar2.html#efficiency"><i class="fa fa-check"></i><b>6.3.3</b> Efficiency</a></li>
+<li class="chapter" data-level="6.3.4" data-path="ch06-radar2.html"><a href="ch06-radar2.html#satisfaction"><i class="fa fa-check"></i><b>6.3.4</b> Satisfaction</a></li>
+</ul></li>
+<li class="chapter" data-level="6.4" data-path="ch06-radar2.html"><a href="ch06-radar2.html#discussion-2"><i class="fa fa-check"></i><b>6.4</b> Discussion</a></li>
+<li class="chapter" data-level="" data-path="ch06-radar2.html"><a href="ch06-radar2.html#acknowledgements-2"><i class="fa fa-check"></i>Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch06-radar2.html"><a href="ch06-radar2.html#funding"><i class="fa fa-check"></i>Funding</a></li>
+<li class="chapter" data-level="" data-path="ch06-radar2.html"><a href="ch06-radar2.html#conflict-of-interest"><i class="fa fa-check"></i>Conflict of interest</a></li>
+<li class="chapter" data-level="" data-path="ch06-radar2.html"><a href="ch06-radar2.html#references-5"><i class="fa fa-check"></i>References</a></li>
+<li class="chapter" data-level="" data-path="ch06-radar2.html"><a href="ch06-radar2.html#appendix"><i class="fa fa-check"></i>Appendix</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch06-radar2.html"><a href="ch06-radar2.html#appendix-a1-task-lists-including-correct-results"><i class="fa fa-check"></i>Appendix A1: Task lists including correct results</a></li>
+<li class="chapter" data-level="" data-path="ch06-radar2.html"><a href="ch06-radar2.html#appendix-a2-system-usability-scale-sus"><i class="fa fa-check"></i>Appendix A2: System Usability Scale (SUS)</a></li>
+<li class="chapter" data-level="" data-path="ch06-radar2.html"><a href="ch06-radar2.html#appendix-a3-task-3-sub-analysis"><i class="fa fa-check"></i>Appendix A3: Task 3 sub-analysis</a></li>
+</ul></li>
+</ul></li>
+<li class="chapter" data-level="7" data-path="ch07-cons.html"><a href="ch07-cons.html"><i class="fa fa-check"></i><b>7</b> Trends in Occurrence and Phenotypic Resistance of Coagulase-Negative Staphylococci (CoNS) Found in Blood in the Northern Netherlands between 2013 and 2019</a>
+<ul>
+<li class="chapter" data-level="7.1" data-path="ch07-cons.html"><a href="ch07-cons.html#abstract-5"><i class="fa fa-check"></i><b>7.1</b> Abstract</a></li>
+<li class="chapter" data-level="7.2" data-path="ch07-cons.html"><a href="ch07-cons.html#introduction-4"><i class="fa fa-check"></i><b>7.2</b> Introduction</a></li>
+<li class="chapter" data-level="7.3" data-path="ch07-cons.html"><a href="ch07-cons.html#materials-methods"><i class="fa fa-check"></i><b>7.3</b> Materials &amp; methods</a>
+<ul>
+<li class="chapter" data-level="7.3.1" data-path="ch07-cons.html"><a href="ch07-cons.html#study-setting-and-patient-cohort"><i class="fa fa-check"></i><b>7.3.1</b> Study setting and patient cohort</a></li>
+<li class="chapter" data-level="7.3.2" data-path="ch07-cons.html"><a href="ch07-cons.html#microbiological-and-demographic-data"><i class="fa fa-check"></i><b>7.3.2</b> Microbiological and demographic data</a></li>
+<li class="chapter" data-level="7.3.3" data-path="ch07-cons.html"><a href="ch07-cons.html#species-determination-and-antibiotic-susceptibility-testing-ast"><i class="fa fa-check"></i><b>7.3.3</b> Species determination and antibiotic susceptibility testing (AST)</a></li>
+<li class="chapter" data-level="7.3.4" data-path="ch07-cons.html"><a href="ch07-cons.html#selection-of-bacterial-isolates"><i class="fa fa-check"></i><b>7.3.4</b> Selection of bacterial isolates</a></li>
+<li class="chapter" data-level="7.3.5" data-path="ch07-cons.html"><a href="ch07-cons.html#eucast-rules-and-antibiotic-resistance-analysis"><i class="fa fa-check"></i><b>7.3.5</b> EUCAST rules and antibiotic resistance analysis</a></li>
+<li class="chapter" data-level="7.3.6" data-path="ch07-cons.html"><a href="ch07-cons.html#statistical-analysis"><i class="fa fa-check"></i><b>7.3.6</b> Statistical analysis</a></li>
+<li class="chapter" data-level="7.3.7" data-path="ch07-cons.html"><a href="ch07-cons.html#ethical-considerations"><i class="fa fa-check"></i><b>7.3.7</b> Ethical considerations</a></li>
+</ul></li>
+<li class="chapter" data-level="7.4" data-path="ch07-cons.html"><a href="ch07-cons.html#results-2"><i class="fa fa-check"></i><b>7.4</b> Results</a>
+<ul>
+<li class="chapter" data-level="7.4.1" data-path="ch07-cons.html"><a href="ch07-cons.html#patients-and-included-isolates"><i class="fa fa-check"></i><b>7.4.1</b> Patients and included isolates</a></li>
+<li class="chapter" data-level="7.4.2" data-path="ch07-cons.html"><a href="ch07-cons.html#occurrence-of-cons-species"><i class="fa fa-check"></i><b>7.4.2</b> Occurrence of CoNS species</a></li>
+<li class="chapter" data-level="7.4.3" data-path="ch07-cons.html"><a href="ch07-cons.html#definition-of-cons-persistence"><i class="fa fa-check"></i><b>7.4.3</b> Definition of CoNS persistence</a></li>
+<li class="chapter" data-level="7.4.4" data-path="ch07-cons.html"><a href="ch07-cons.html#antibiotic-resistance-analysis"><i class="fa fa-check"></i><b>7.4.4</b> Antibiotic resistance analysis</a></li>
+</ul></li>
+<li class="chapter" data-level="7.5" data-path="ch07-cons.html"><a href="ch07-cons.html#discussion-3"><i class="fa fa-check"></i><b>7.5</b> Discussion</a></li>
+<li class="chapter" data-level="" data-path="ch07-cons.html"><a href="ch07-cons.html#supplementary-tables"><i class="fa fa-check"></i>Supplementary tables</a></li>
+<li class="chapter" data-level="" data-path="ch07-cons.html"><a href="ch07-cons.html#references-6"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
+<li class="chapter" data-level="8" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html"><i class="fa fa-check"></i><b>8</b> Defining Multidrug Resistance of Gram-Negative Bacteria in the Dutch-German Border Region: Impact of National Guidelines</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i>Abstract</a></li>
+<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.1</b> Introduction</a></li>
+<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.2</b> Methods</a></li>
+<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.3</b> Results</a>
+<ul>
+<li class="chapter" data-level="8.3.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.3.1</b> Number of Antibiograms and Patients</a></li>
+<li class="chapter" data-level="8.3.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.3.2</b> Results of MRGN and BRMO Classification</a></li>
+</ul></li>
+<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.4</b> Discussion</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i>Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i>Conflicts of interest</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#references-7"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
+<li class="chapter" data-level="9" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html"><i class="fa fa-check"></i><b>9</b> Changing Epidemiology of Methicillin-Resistant <em>Staphylococcus aureus</em> in 42 Hospitals in the Dutch-German Border Region, 2012 to 2016: Results of the Search-and-Follow Policy</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#abstract-7"><i class="fa fa-check"></i>Abstract</a></li>
+<li class="chapter" data-level="9.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#introduction-6"><i class="fa fa-check"></i><b>9.1</b> Introduction</a></li>
+<li class="chapter" data-level="9.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#methods-3"><i class="fa fa-check"></i><b>9.2</b> Methods</a>
+<ul>
+<li class="chapter" data-level="9.2.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#setting"><i class="fa fa-check"></i><b>9.2.1</b> Setting</a></li>
+<li class="chapter" data-level="9.2.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#guidelines-for-patients-at-risk-for-mrsa-and-infection-prevention-and-control-measures"><i class="fa fa-check"></i><b>9.2.2</b> Guidelines for patients at risk for MRSA and infection prevention and control measures</a></li>
+<li class="chapter" data-level="9.2.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-collection"><i class="fa fa-check"></i><b>9.2.3</b> Data collection</a></li>
+<li class="chapter" data-level="9.2.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#ethical-statement"><i class="fa fa-check"></i><b>9.2.4</b> Ethical statement</a></li>
+<li class="chapter" data-level="9.2.5" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-analysis"><i class="fa fa-check"></i><b>9.2.5</b> Data analysis</a></li>
+</ul></li>
+<li class="chapter" data-level="9.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#results-4"><i class="fa fa-check"></i><b>9.3</b> Results</a>
+<ul>
+<li class="chapter" data-level="9.3.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#trend-and-cross-border-comparison-of-mrsa-rates"><i class="fa fa-check"></i><b>9.3.1</b> Trend and cross-border comparison of MRSA rates</a></li>
+<li class="chapter" data-level="9.3.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#cross-border-comparison-of-healthcare-utilisation"><i class="fa fa-check"></i><b>9.3.2</b> Cross-border comparison of healthcare utilisation</a></li>
+</ul></li>
+<li class="chapter" data-level="9.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#discussion-5"><i class="fa fa-check"></i><b>9.4</b> Discussion</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#acknowledgements-4"><i class="fa fa-check"></i>Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#funding-1"><i class="fa fa-check"></i>Funding</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#references-8"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
+<li class="divider"></li>
+<li class="copyright">© 2021 Matthijs Berends</li>
+
+</ul>
+
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+      <div class="body-inner">
+        <div class="book-header" role="navigation">
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+            <i class="fa fa-circle-o-notch fa-spin"></i><a href="./">A New Instrument for Microbial Epidemiology</a>
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+            <section class="normal" id="section-">
+<div id="ch09-changing-epidemiology" class="section level1" number="9">
+<h1><span class="header-section-number">9</span> Changing Epidemiology of Methicillin-Resistant <em>Staphylococcus aureus</em> in 42 Hospitals in the Dutch-German Border Region, 2012 to 2016: Results of the Search-and-Follow Policy</h1>
+<p>Published in Eurosurveillance. 2019 Apr 11; 24(15): 180024</p>
+<p>Jurke A <sup>1</sup>, Daniels-Haardt I <sup>2</sup>, Silvis W <sup>3</sup>, Berends MS <sup>4,5</sup>, Glasner C <sup>5</sup>, Becker K <sup>6</sup>, Köck R <sup>6,7,8</sup>, Friedrich AW <sup>5</sup></p>
+<ol style="list-style-type: decimal">
+<li>North Rhine-Westphalian Centre for Health, Section Infectious Disease Epidemiology, Bochum, Germany</li>
+<li>North Rhine-Westphalian Centre for Health, Department Health Promotion, Health Protection, Bochum, Germany</li>
+<li>Laboratory for Medical Microbiology and Public Health (LabMicTA), Hengelo, Netherlands</li>
+<li>Certe Medical Diagnostics and Advice Foundation, Groningen, Netherlands</li>
+<li>University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, Netherlands</li>
+<li>University Hospital Münster, University of Münster, Institute of Medical Microbiology, Münster, Germany</li>
+<li>University Hospital Münster, University of Münster, Institute for Hygiene, Münster, Germany</li>
+<li>Institute of Hygiene, DRK Kliniken Berlin, Berlin, Germany</li>
+</ol>
+<div id="abstract-7" class="section level2 unnumbered">
+<h2>Abstract</h2>
+<p>Methicillin-resistant <em>Staphylococcus aureus</em> (MRSA) is a major cause of healthcare-associated infections. We describe MRSA colonisation/infection and bacteraemia rate trends in Dutch–German border region hospitals (NL–DE-BRH) in 2012–16. All 42 NL–DE BRH (8 NL-BRH, 34 DE-BRH) within the cross-border network EurSafety Health-net provided surveillance data (on average ca 620,000 annual hospital admissions, of these 68.0% in Germany). Guidelines defining risk for MRSA colonisation/infection were reviewed. MRSA-related parameters and healthcare utilisation indicators were derived. Medians over the study period were compared between NL- and DE-BRH. Measures for MRSA cases were similar in both countries, however defining patients at risk for MRSA differed. The rate of nasopharyngeal MRSA screening swabs was 14 times higher in DE-BRH than in NL-BRH (42.3 vs 3.0/100 inpatients; <em>p</em> &lt; 0.0001). The MRSA incidence was over seven times higher in DE-BRH than in NL-BRH (1.04 vs 0.14/100 inpatients; <em>p</em> &lt; 0.0001). The nosocomial MRSA incidence-density was higher in DE-BRH than in NL-BRH (0.09 vs 0.03/1,000 patient days; <em>p</em> = 0.0002) and decreased significantly in DE-BRH (<em>p</em> = 0.0184) during the study. The rate of MRSA isolates from blood per 100,000 patient days was almost six times higher in DE-BRH than in NL-BRH (1.55 vs 0.26; <em>p</em> = 0.0041). The patients had longer hospital stays in DE-BRH than in NL-BRH (6.8 vs 4.9; <em>p</em> &lt; 0.0001). DE-BRH catchment area inhabitants appeared to be more frequently hospitalised than their Dutch counterparts. Ongoing IPC efforts allowed MRSA reduction in DE-BRH. Besides IPC, other local factors, including healthcare systems, could influence MRSA epidemiology.</p>
+</div>
+<div id="introduction-6" class="section level2" number="9.1">
+<h2><span class="header-section-number">9.1</span> Introduction</h2>
+<p>Cross-border patient mobility is a priority in the European Union (EU), because the most accessible or appropriate care for citizens living in border regions may be available abroad. When, in 2013, the directive 2011/24/EU came into force, patients’ right to access healthcare in other Member States including reimbursement and medical follow-up in their respective home countries was entitled in an EU law for the first time. With this, cross-border cooperation in infection prevention and control (IPC) using comprehensive strategies is important <sup>[1]</sup>.</p>
+<p>Antimicrobial resistant (AMR) pathogens are a serious threat to public health in Europe, leading to increased healthcare costs, treatment failure and deaths. For invasive bacterial infections, prompt treatment with effective antimicrobial agents is essential and is one of the most effective interventions to reduce the risk of fatal outcomes <sup>[2]</sup>. Currently, the epidemiological situation is cause for concern especially with regard to AMR Gram-negative pathogens, e.g., characterised by carbapenem resistance (CR) <sup>[3]</sup>. However, the Gram-positive methicillin-resistant <em>Staphylococcus aureus</em> (MRSA) is still one of the most important causes of healthcare-associated infections due to AMR pathogens <sup>[3]</sup>.</p>
+<p>In 2017 in a consensus report of the European Centre for Disease Prevention and Control (ECDC), the European Food Safety Authority (EFSA) and the European Medicines Agency (EMA), the proportion of MRSA in invasive <em>S. aureus</em> infections was proposed as an indicator for surveillance of AMR pathogens in humans <sup>[4]</sup>. Although in 2016 the proportion of MRSA in invasive <em>S. aureus</em> infections in Europe reached its lowest level (13.7%) since the ECDC first presented population-weighted data for the EU in 2009, large inter-country variations (1.2 to 50.5%) remain in Europe <sup>[3]</sup>. For example, in the most populated German federal state, North Rhine-Westphalia (NRW), the incidence of MRSA bacteraemia per inhabitants was 32-fold higher compared with the Dutch neighbouring region with similar population size in 2009–10 <sup>[5]</sup>.</p>
+<p>The occurrence of MRSA still necessitates continuous surveillance and preparedness to optimise IPC to further decrease MRSA rates <sup>[6-9]</sup>. Since 1999, MRSA screening of various sites including at least nares, pharynx and wounds (if present) and additionally perineum or groin (in case of known previous carriage) before or at admission to hospitals is recommended in Germany, if patients have defined risk factors <sup>[10]</sup>. For MRSA carriers IPC measures including isolation in single rooms, barrier precautions and decolonisation therapies are also recommended <sup>[10,11]</sup>. Within the EU-funded community initiative INTERREG IIIA in 2006, all hospitals in the German Münsterland region, located directly at the Dutch–German border, started to establish a network to control MRSA – the EUREGIO MRSA net. They agreed to monitor the implementation of the IPC measures, harmonise local standards, exchange hospital utilisation data and MRSA data, perform molecular typing of MRSA isolates and establish regional benchmarks <sup>[12]</sup>. This ‘search-and-follow’ strategy was inspired from the ‘search-and-destroy’ policy implemented in Dutch hospitals since the 1980s. It aimed to improve application of the German national MRSA recommendations, the regional cooperation between hospitals, other healthcare facilities and public health authorities, as well as to create a more robust MRSA surveillance system <sup>[9,12-14]</sup>. Further to this strategy, screening for MRSA carriage among risk patients at hospital admission increased between 2009 and 2011 in these regional German hospitals and the nosocomial MRSA incidence density significantly decreased <sup>[15]</sup>.</p>
+<p>The cross-border IPC network cooperation, i.e. the Dutch−German web-based communication portal for handling MRSA problems for healthcare workers, patients and the public was continued from 2009 to 2015 within the INTERREG IVA funded project EurSafety Health-net. This enabled hospitals and nursing homes to acquire Euregional Quality and Transparency certificates. Moreover, since 2016, the collaboration was further prolonged within the INTERREG VA funded project EurHealth-1Health inter alia. Within this, the Dutch signaling meeting of the Hospital-acquired Infection and Antimicrobial Resistance Monitoring Group (SO-ZI/AMR) occurs in the German study region.</p>
+<p>Here, we analysed 2012 to 2016 MRSA surveillance data from Dutch and German border region hospitals (NL-BRH and DE-BRH) in the network in order to describe temporal and spatial trends of MRSA rates and find differences between these groups of hospitals. We also used the data to calculate the MRSA rates per inpatient and per patient days in both groups of hospitals and the MRSA rates per inhabitants in the patient catchment areas of NL-BRH and DE-BRH respectively in order to compare the two groups in relation to these parameters.</p>
+</div>
+<div id="methods-3" class="section level2" number="9.2">
+<h2><span class="header-section-number">9.2</span> Methods</h2>
+<div id="setting" class="section level3" number="9.2.1">
+<h3><span class="header-section-number">9.2.1</span> Setting</h3>
+<p>Within the EurSafety Health-net project (<a href="http://www.eursafety.eu/" class="uri">http://www.eursafety.eu/</a>) the German part of the project region geographically comprised six districts in the Münsterland region (codes DEA33–35, DEA37, DEA38 and DE94B, level 3, according to the Nomenclature of Territorial Units for Statistics, NUTS <sup>[16]</sup>) and was inhabited by ca 1.73 million people <sup>[17]</sup>. The Dutch part comprised eight districts in the provinces of Groningen, Drenthe and in the region Twente-Achterhoek (codes NL111–113, NL131–133, NL213 and NL225) inhabited by ca 2.10 million people (Figure 1) <sup>[17]</sup>. Initially, there were 42 hospitals located in the Dutch–German region (reduced in 2015 to 41 due to a structural merging of two DE-BRH) treating ca 620,000 admitted patients (68.0% in the German part of the study region) with ca 3,900,000 patient days per year. All 34 (since 2015, 33) regional DE-BRH (9.5% of hospitals in NRW in 2016) and all eight regional NL-BRH (8.8% of hospitals in the Netherlands in 2016) took part in the project. Among the DE-BRH, 29 were acute care hospitals, one was a university hospital, one was a rehabilitation clinic and three hospitals were specialised in psychiatry, while the NL-BRH comprised one university- and seven acute care hospitals.</p>
+<div class="figure" style="text-align: center"><span id="fig:fig9-1"></span>
+<img src="images/09-01.jpg" alt="Location of the study region in the Netherlands and Germany, 2012-2016. The dark grey area represents the study region, including the Dutch regions East Groningen (NL111), Delfzijl and surroundings (NL112), rest of Groningen (NL113), North Drenthe (NL 131), South East Drenthe (NL132), South West Drenthe (NL133), Twente (NL213), Achterhoek (NL225), and the German regions Grafschaft Bentheim region (DE94B) and the Münsterland-region with the urban district Münster (DEA33) and the rural districts Borken (DEA34), Coesfeld (DEA35), Steinfurt (DEA37) and Warendorf (DEA38)." width="100%" />
+<p class="caption">
+Figure 9.1: Location of the study region in the Netherlands and Germany, 2012-2016. The dark grey area represents the study region, including the Dutch regions East Groningen (NL111), Delfzijl and surroundings (NL112), rest of Groningen (NL113), North Drenthe (NL 131), South East Drenthe (NL132), South West Drenthe (NL133), Twente (NL213), Achterhoek (NL225), and the German regions Grafschaft Bentheim region (DE94B) and the Münsterland-region with the urban district Münster (DEA33) and the rural districts Borken (DEA34), Coesfeld (DEA35), Steinfurt (DEA37) and Warendorf (DEA38).
+</p>
+</div>
+</div>
+<div id="guidelines-for-patients-at-risk-for-mrsa-and-infection-prevention-and-control-measures" class="section level3" number="9.2.2">
+<h3><span class="header-section-number">9.2.2</span> Guidelines for patients at risk for MRSA and infection prevention and control measures</h3>
+<p>Both NL-BRH and DE-BRH implemented MRSA-related IPC measures according to their national guidelines and recommendations, issued by the Dutch Working Group on Infection Prevention (WIP) and the German Commission for Hospital Hygiene and Infection Prevention (KRINKO) at the Robert Koch-Institute, respectively <sup>[10,18]</sup>. Of note, the definitions of whom to screen at admission differed for NL-BRH and DE-BRH based on the national guidelines and recommendations (Table 1), as well as screening sites (DE-BRH: at least nose, pharynx, throat and wounds, if present, additionally perineum and groin swab, when indicated; NL-BRH: nasal-, throat- and perineum or rectum swab plus additional cultures depending on clinical signs) <sup>[10,19]</sup>. In all hospitals, positive screenings or any other detection of MRSA was followed by single room isolation, contact precautions and decolonisation, if applicable. Pre-emptive isolation of patients with MRSA risk factors was performed according to local guidelines (in DE-BRH only for patients with previous MRSA carriage, for NL-BRH see Table 1.</p>
+<p>The levels of isolation for inpatients with risk categories were the following:</p>
+<ul>
+<li>RMRSA: MRSA positive- or (RH) high-risk category patients in high-risk departments of the hospital (e.g., intensive care unit, haematology): single room isolation with contact- and airborne precautions.</li>
+<li>RH: High-risk category patients who are not in high-risk departments and who have an MRSA screening result available within 24 hours of admission: single room with contact precautions.</li>
+<li>RL: Low-risk category: no isolation, awaiting new MRSA screening test results.</li>
+</ul>
+<p>In both countries adherence to the MRSA-IPC guidelines- and recommendations was periodically checked by the responsible local public health authorities (Germany) and national health inspectorate (Netherlands). The implementation of other IPC measures in the participating hospitals, such as standards for the prevention of catheter-related bloodstream infections, was not planned or assessed within the project.</p>
+<p class="tbl-caption">
+Table 1. Risk factors for MRSA carriage at admission according to Dutch and German MRSA guidelines, 2012–2016.
+</p>
+<p><img src="images/09-t01.jpg" width="100%" style="display: block; margin: auto;" /></p>
+</div>
+<div id="data-collection" class="section level3" number="9.2.3">
+<h3><span class="header-section-number">9.2.3</span> Data collection</h3>
+<p>An MRSA case was defined as an inpatient who was colonised or infected with MRSA at admission or for nosocomial MRSA cases, after admission. A blood culture positive for MRSA, from a single inpatient and from a single hospital stay was qualified as MRSAB case. If an MRSA case, or MRSAB case, had several stays in a year, each hospital stay was counted as an MRSA case, or MRSAB case, in the surveillance.</p>
+<p>On both sides of the border, the collected surveillance data of inpatients (i.e. excluding outpatients) included the number of nasopharyngeal swabs performed for MRSA screening before or at admission, the numbers of MRSA cases (one isolate per patient per hospital stay) − in DE-BRH and in several NL-BRH MRSA cases were additionally classified as imported or nosocomial (i.e. nosocomial, if the case was detected ≥ 3 days after hospital admission unless the patient was a known MRSA carrier), the number of cases and the number of patient days. Additionally, in DE-BRH and in several NL-BRH the patient days of MRSA cases (i.e. the number of days, which an MRSA-positive patient spent in hospital) were also recorded. Moreover, the number of inpatients with a blood culture positive for MRSA (MRSAB, one isolate per patient case) and the number of <em>S. aureus</em> in blood cultures (one isolate per patient case) were assessed. The MRSA-surveillance data as described above were collected in all DE-BRH using a protocol adapted from the national German Nosocomial Infections Surveillance System (MRSA-KISS <sup>[20]</sup>); see Supplement Table S1). For cross-border analysis, the laboratories serving for all NL-BRH provided retrospectively collected data for the period 2012 to 2016, according to the same protocol.</p>
+</div>
+<div id="ethical-statement" class="section level3" number="9.2.4">
+<h3><span class="header-section-number">9.2.4</span> Ethical statement</h3>
+<p>Ethical approval was asked from ethical committee at the University Medical Center Groningen (UMCG), and approval was not necessary for this study.</p>
+</div>
+<div id="data-analysis" class="section level3" number="9.2.5">
+<h3><span class="header-section-number">9.2.5</span> Data analysis</h3>
+<p>We analysed the surveillance data of five years (2012–16) and calculated the following parameters: (i) screening rate (nasopharyngeal swabs for MRSA/100 inpatients), (ii) MRSA incidence (MRSA cases/100 inpatients), (iii) percentage of MRSA isolates per all <em>S. aureus</em> isolates detected in blood cultures, (iv) incidence density of MRSA isolates detected from blood cultures (MRSAB cases/100,000 patient days), (v) nosocomial MRSA incidence density (nosocomial MRSA-cases/1,000 patient days), (vi) length of stay in hospital (number of patient days/inpatients, (vii) length of stay in the hospital of MRSA cases (number of patient days of MRSA cases/MRSA cases). We calculated the mean annual numbers of inpatients per 100 inhabitants and of patient days per 100 inhabitants of the patient catchment area of NL-BRH and DE-BRH. Furthermore, we calculated the mean annual number of nasopharyngeal swabs performed for MRSA screening before or at admission to hospital per 100 inhabitants in the patient catchment area of the regional hospitals (DE-BR and NL-BR) as well as of inpatient MRSA cases per 1,000 inhabitants and the MRSAB/1,000,000 inhabitants using our surveillance data of inpatients (i.e., excluding outpatients). The number of inhabitants were assessed from the official statistical database <sup>[17]</sup>.</p>
+<p>Time trends of MRSA parameters were analysed by Friedman tests. The percentage of nosocomial MRSA cases on all MRSA cases was assessed by Cochran–Armitage test of linear trend. The cross-border regional comparisons were analysed using Wilcoxon rank sum test. All statistical analyses were done using SAS 9.4 software (SAS Institute Inc., Cary, United States); <em>p</em> &lt; 0.05 was considered significant. Results of significance tests were discarded if the software displayed an alert due to more than 10% of missing values in the respective dataset. The map was made using RegioGraph10 (GFK Geomarketing GmbH, Bruchsal, Germany).</p>
+</div>
+</div>
+<div id="results-4" class="section level2" number="9.3">
+<h2><span class="header-section-number">9.3</span> Results</h2>
+<div id="trend-and-cross-border-comparison-of-mrsa-rates" class="section level3" number="9.3.1">
+<h3><span class="header-section-number">9.3.1</span> Trend and cross-border comparison of MRSA rates</h3>
+<p>The total numbers of MRSA cases (detected in DE-BRH and NL-BRH are shown in Table 2. In both DE-BRH and NL-BRH the median nasopharyngeal MRSA screening rate increased significantly between 2012 and 2016 (Table 3). Overall, the median screening rate was 14 times higher in DE-BRH than in NL-BRH (<em>p</em> &lt; 0.0001, Table 4).</p>
+<p class="tbl-caption">
+Table 2. Numbers of methicillin-resistant <em>Staphylococcus aureus</em> cases documented in all study hospitals in the German region of Münsterland and the Dutch regions of Twente-Achterhoek, Drenthe and Groningen, 2012–2016 (n = 42 hospitals) <sup>a.</sup>
+</p>
+<p><img src="images/09-t02.jpg" width="100%" style="display: block; margin: auto;" /></p>
+<p class="tbl-caption">
+Table 3. Annual medians of methicillin-resistant <em>Staphylococcus aureus</em> parameters in all study hospitals in the German region Münsterland and the Dutch regions of Twente-Achterhoek, Drenthe and Groningen, 2012–2016 (n = 42 hospitals) <sup>a.</sup>
+</p>
+<p><img src="images/09-t03.jpg" width="100%" style="display: block; margin: auto;" /></p>
+<p class="tbl-caption">
+Table 4. Methicillin-resistant <em>Staphylococcus aureus</em> parameters in all study hospitals in the German region of Münsterland and the Dutch regions of Twente-Achterhoek, Drenthe and Groningen, 2012–2016 (n = 42 hospitals) <sup>a.</sup>
+</p>
+<p><img src="images/09-t04.jpg" width="100%" style="display: block; margin: auto;" /></p>
+<p>The median MRSA incidence remained stable over time at both sides of the border (Table 3), but was more than seven times higher in DE-BRH than in NL-BRH (<em>p</em> &lt; 0.0001) (Table 4). The median percentage of MRSA in <em>S. aureus</em> blood culture isolates decreased from 12.5% in 2012 to 5.0% in 2016 in DE-BRH (<em>p</em> = 0.0959), while it remained stable in NL-BRH (<em>p</em> = 0.1679) (Table 3), but was more than 34 times higher in DE-BRH (<em>p</em> = 0.0001) (Table 4). The median of MRSAB per 100,000 patient days remained stable over time in DE-BRH (<em>p</em> = 0.4272) and NL-BRH (<em>p</em> = 0.0620) (Table 3) and was six-fold greater in DE-BRH than in NL BRH (<em>p</em> = 0.0041) (Table 4). The percentages of nosocomial cases on all MRSA cases (Table 2) decreased significantly in DE-BRH (<em>p</em> &lt; 0.0001), but did not change in NL-BRH (<em>p</em> &lt; 0.6474). Over the study period the median nosocomial MRSA incidence-density decreased significantly in DE-BRH (<em>p</em> = 0.0184) (Table 3), but did not change in NL-BRH (<em>p</em> = 0.3532) and was approximately three times higher in DE-BRH than in NL-BRH (<em>p</em> = 0.0002) (Table 4).</p>
+</div>
+<div id="cross-border-comparison-of-healthcare-utilisation" class="section level3" number="9.3.2">
+<h3><span class="header-section-number">9.3.2</span> Cross-border comparison of healthcare utilisation</h3>
+<p>We compared the available data on healthcare utilisation in DE-BRH and NL-BRH. The median length of stay (LOS) in the hospital was 6.8 days in DE-BRH compared with 4.9 days in NL-BRH (<em>p</em> &lt; 0.0001) (Table 4); LOS of MRSA patients was similar in DE-BRH vs NL-BRH (11.1 days vs 11.7 days; <em>p</em> = 0.8774) (Table 4). The hospitalisation rate was 24.3 inpatients/100 inhabitants annually in the patient catchment area of DE-BRH, almost thrice the rate in the NL-BRH’s catchment area (9.27/100). To put this difference in healthcare utilisation into context, we calculated the mean annual number of nasopharyngeal MRSA screening swabs before or at admission to hospital per 100 inhabitants in the German border region (DE-BR) vs the Dutch border region (NL-BR) (12.2 vs 0.36). Additionally, we compared the MRSA surveillance data of inpatients (i.e., excluding outpatients) in the patient catchment area of DE-BRH and NL-BRH. The calculated numbers of inpatient MRSA cases per 1,000 inhabitants in DE-BR and NL-BR were 2.52 vs. 0.14. Furthermore, the calculated MRSAB/1,000,000 inhabitants in DE-BR and NL-BR was 38.4 vs 4.09 (Table 5).</p>
+<p class="tbl-caption">
+Table 5. Calculated parameters in the patient catchment area of all study hospitals in the German region of Münsterland and Dutch regions of Twente-Achterhoek, Drenthe and Groningen, 2012–2016 (n = 42 hospitals) <sup>a.</sup>
+</p>
+<p><img src="images/09-t05.jpg" width="100%" style="display: block; margin: auto;" /></p>
+</div>
+</div>
+<div id="discussion-5" class="section level2" number="9.4">
+<h2><span class="header-section-number">9.4</span> Discussion</h2>
+<p>As patients in the EU have the right to healthcare across the borders of Member States (EU directive 2011/24/EU), it is of interest to compare the quality of care, safety standards and risks of nosocomial infection by AMR pathogens between EU countries. In this respect, the cross-border systematic and continuous MRSA surveillance is one of the cornerstones to ensure equal quality of healthcare <sup>[21]</sup>.</p>
+<p>Our study revealed significant differences between Dutch and German hospitals (Table 4). The median MRSA-incidence in DE-BRH was more than seven times higher compared with NL-BRH. We also found that the median MRSA percentage of <em>S. aureus</em> detected in blood cultures was more than 34 times higher in DE-BRH than in NL-BRH (Table 4). The incidence density of MRSAB was six times higher in DE-BRH (Table 4) and there were nine times more MRSAB per 1,000,000 inhabitants for the patient catchment area of DE-BRH compared with NL-BRH (Table 5).</p>
+<p>According to the ECDC, differences in the occurrence of AMR pathogens between European countries are most likely caused by differences in healthcare utilisation, antimicrobial use and IPC practices <sup>[3]</sup>.</p>
+<p>Concerning healthcare utilisation in our context, we found that inhabitants in the German part of the study region were almost three times as often hospitalised (Table 5) and had a significantly longer LOS than patients on the Dutch part (Table 4). This may be due to socioeconomic factors or a different organisation of ambulatory healthcare.</p>
+<p>While antimicrobial consumption was not the focus of the current study, NRW has been reported as the region in Germany with the highest antimicrobial consumption in outpatients (19.2 daily defined doses (DDD/1,000 inhabitants) <sup>[22]</sup>. In this respect, the MRSA incidence in DE-BRH was slightly above the incidences in German hospitals participating in the nationwide surveillance system MRSA-KISS <sup>[20]</sup>. The antimicrobial consumption level in NRW seems to be also considerably higher than in the Netherlands (10.39 DDD/1,000 inhabitants) <sup>[23]</sup>, not only in terms of total antibiotics consumed, but also for the oral use of second-generation cephalosporins. Promoting rational regional antibiotic use is therefore one of the major goals in the INTERREG VA project EurHealth-1Health (<a href="http://www.eurhealth-1health.eu/" class="uri">http://www.eurhealth-1health.eu/</a>).</p>
+<p>For MRSA IPC, the recommendations in Germany and the corresponding guidelines in the Netherlands were comparable regarding the measures performed for MRSA carriers <sup>[10,18]</sup>. However, there were differences between the two countries in identifying people at risk of MRSA infection/colonisation <sup>[10,18]</sup>. In this study, we found that the DE-BRH performed 14 times more nasopharyngeal screening swabs for MRSA than their Dutch counterparts.</p>
+<p>The higher screening rates on the German side of the border may be ascribed to the fact that in German IPC recommendations, previous hospitalisation in Germany is a risk factor for MRSA carriage. This constitutes a main difference in defined risk factors between Dutch- and German MRSA IPC guidelines, whereby Dutch guidelines mostly consider screening for patients previously hospitalised outside the Netherlands (Tables 1 and and3)3) <sup>[14,24]</sup>. In this respect, we observed that although the densities of nosocomial MRSA cases were lower in NL-BRH than in DE-BRH (Table 3), the proportion of nosocomial MRSA cases among all MRSA detected was slightly higher in the Dutch hospitals (Table 2). The reason for this remains unclear, but it might be speculated that a larger proportion of MRSA carriers in the Netherlands had no risk factors for MRSA and were hence not screened at admission.</p>
+<p>Another explanation for screening rate differences between the two countries may be distinct underlying epidemiological situations regarding MRSA. For example, the MRSA prevalence is higher in the population in Germany than that in patients at hospital admission in the Netherlands (0.7% vs. 0.13%) <sup>[25,26]</sup>. Moreover, in the German part of the study region, a possible additional MRSA burden due to the exceptionally frequent occurrence of livestock-associated MRSA might have an effect <sup>[27,28]</sup>.</p>
+<p>The screening and IPC measures in the DE-BRH appeared to be nevertheless appropriate. In 2006, in the project region excluding Groningen and Drenthe (Figure), investigations evaluating the numbers of patients with MRSA risk factors at admission to German hospitals demonstrated that ca 35.6% of patients had a risk factor requiring screening <sup>[29]</sup>. A corresponding level of screening was implemented by DE-BRH during the study period 2009–11 <sup>[15]</sup>. This level remained high in the 2012–16 period (Table 3), indicating a very good implementation of the screening standards.</p>
+<p>About 1% of all patients admitted in DE-BRH carried MRSA, which corresponds well to results of investigations evaluating the prevalence of MRSA carriage in the regional general, non-hospitalised population in 2012 <sup>[25]</sup>. In terms of difference with the Netherlands, this has for consequence that it is more expensive to provide isolation capacities for ca 1.0% of inpatients with MRSA in DE-BRH vs 0.15% in NL-BRH. Moreover, the higher MRSA incidence in DE-BRH could lead to a higher probability for nosocomial MRSA cases as they are not completely avoidable <sup>[30-32]</sup>.</p>
+<p>From 2012 to 2016 however, the nosocomial MRSA incidence density in DE-BRH decreased significantly, a trend already observed from 2009 to 2011 <sup>[15]</sup>. Moreover, the nosocomial MRSA incidence density (Table 3) appeared to be below the densities reported for hospitals participating in the nationwide surveillance system MRSA-KISS (median nosocomial MRSA cases per 1,000 patient days in DE-BRH/MRSA KISS, 2012–16: 0.11/0.14, 0.09/0.12, 0.09/0.10, 0.08/0.09, 0.07/0.08) <sup>[15,20]</sup>. This may indicate the successful implementation of concerted IPC standards in DE-BRH in the EurSafety Health-net network <sup>[15]</sup>.</p>
+<p>We also observed for that the difference of the incidence of MRSA bacteraemia per inhabitants between the German and Dutch border region (38.4 vs 4.09 per 1,000,000) was apparently smaller than calculated in a previous study, which used 2009 Dutch and 2010 German data respectively to derive the difference between NRW and the Netherlands (57.6 vs 1.8 per 1,000,000) <sup>[5]</sup>. In addition, according to the population-based German mandatory notification system for invasive MRSA infections (SurvStat) from 2012 to 2016, 40.7 MRSA isolates were detected in blood or cerebrospinal fluid per 1,000,000 inhabitants in the German project region <sup>[33]</sup>, which is lower compared with data from the federal state of NRW (70.3 per 1,000,000 inhabitants) as well as from Germany (47.9 per 1,000,000 inhabitants) <sup>[34]</sup>.</p>
+<p>Comparing our results with those of other German laboratories participating in a voluntary, national surveillance system (ARS) <sup>[35]</sup>, revealed that, for each year of the period 2012–16 the median percentage of MRSA in <em>S. aureus</em> from blood cultures was lower in DE-BRH than in other laboratories in western Germany (DE-BRH/ARS-region west (NRW), 2012–16: 12.5%/19.0%, 14.3%/15.0%, 10.5%/13.5%, 9.8%/13.3%, 5.0%/12.0%) (Table 3), as well as below the middle lower range of the EU/European Economic Association (EEA) population-weighted mean between 18.8% in 2012 and 13.7% in 2016 <sup>[3,34,36]</sup>.</p>
+<p>In contrast, the mean MRSA percentage of <em>S. aureus</em> detected in blood culture during 2012–16 was higher (1.5% vs 1.3%) in NL-BRH compared with Dutch national data of Infectious Disease Surveillance Information System for Antibiotic Resistance, (ISIS-AR) covering data of 52% of diagnostic laboratories <sup>[37]</sup>.</p>
+<p>As typical for all passive surveillance systems, bias due to differences in reporting behaviour cannot be excluded and is a limitation of this study. However, as MRSA surveillance in DE-BRH started in 2007, a stabilised compliance in reporting can be assumed for the period from 2012–16. The higher number of MRSA cases per inhabitants on the German side compared with the Netherlands is biased if there is more than one episode of MRSA detection per year for one individual patient among the number of cases. Also, the inclusion of three psychiatric hospitals and one rehabilitation clinic, which have usually longer average lengths of stay, may have prolonged hospital stay in the DE-BRH. However, the data are in accordance with German-wide assessment systems. The clinical relevance of MRSA isolates detected in blood cultures is undisputable, but variations in blood culture diagnostics (e.g., frequency, performance) may result in bias when comparing MRSA percentages of <em>S. aureus</em> blood culture isolates between different countries <sup>[38]</sup>. A limitation of the study design is that the implementation of IPC standards, which are not directly targeted to control MRSA, such as bundles to prevent central-line-associated bloodstream infections (CLABSI), was not assessed and compared in the participating hospitals. Hence, changes of the incidence of MRSA bacteraemia could also be attributable to improvements in CLABSI prevention or other IPC standards.</p>
+<p>This study on MRSA covering all hospitals across part of a European border as well as hospitals of all three care-categories demonstrated that routine MRSA surveillance may be helpful to monitor trends of MRSA parameters, to compare the MRSA rates and to indicate needs for further improvement to reach low MRSA rates EU-wide. Our results supplement the European and national surveillance systems. Ongoing efforts in MRSA prevention are recommended, including all healthcare sectors, especially with focus on One Health <sup>[39-42]</sup>. Moreover, cross-border surveillance should be extended to other multidrug-resistant organisms, such as CR <em>Enterobacteriaceae</em> in the future.</p>
+</div>
+<div id="acknowledgements-4" class="section level2 unnumbered">
+<h2>Acknowledgements</h2>
+<p>We acknowledge all the active participants of the EurSafety Health-net and EurHealth-1Health projects: The infection control nurses and the physicians responsible for infection control of the 42 participating hospitals, as well as the staff of the regional laboratories participating in the project. We thank the project representatives appointed by the public health offices in the EUREGIO, especially Ms. Scherwinski and Ms. Winkler (both Borken), Dr. Toepper (Coesfeld), Dr. Bierbaum and Dr. Lürwer (both Münster), Dr. Schmeer and Ms. Suhr (both Steinfurt), Dr. König and Ms. Clemens (Warendorf). Furthermore, we thank Ms. Schmidt, Ms. Lunemann, Ms. Jessen and Ms. Ganser (NRW Centre for Health) and Dr. Gunnar Andriesse from Certe in Groningen for their support.</p>
+</div>
+<div id="funding-1" class="section level2 unnumbered">
+<h2>Funding</h2>
+<p>The EurSafety Health-Net project was financially supported by external funding within the INTERREG IVA program ‘Germany-Netherlands’ of the EU (EurSafety Health-net: INTERREG IVA III-1-01=073), by the German states of NRW and Lower Saxony and by the Dutch provinces Overijssel, Gelderland and Limburg. The EurHealth-1Health project is implemented within the framework of the INTERREG VA ‘Germany-Netherlands’ program (grant number EU/INTERREG VA-202085) and is co-financed by the European Union, the Dutch Ministry of Health, Welfare and Sport (VWS), the Ministry of Economy, Innovation, Digitalisation and Energy of the German Federal State North Rhine-Westphalia and by the German Federal State Lower Saxony.</p>
+</div>
+<div id="references-8" class="section level2 unnumbered">
+<h2>References</h2>
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+<li>Commission for Hospital Hygiene and Infection Prevention at Robert Koch-Institute Empfehlungen zur Prävention und Kontrolle von Methicillinresistenten <em>Staphylococcus aureus</em>-Stämmen (MRSA) in medizinischen und pflegerischen Einrichtungen. [Recommendations for the prevention and control of methicillin-resistant <em>Staphylococcus aureus</em> isolates (MRSA) in hospitals and other healthcare facilities]. GMS Krankenhhyg Interdiszip. 2009;4(1):Doc01.</li>
+<li>Friedrich AW, Daniels-Haardt I, Köck R, Verhoeven F, Mellmann A, Harmsen D, <em>et al.</em> EUREGIO MRSA-net Twente/Münsterland–a Dutch-German cross-border network for the prevention and control of infections caused by methicillin-resistant <em>Staphylococcus aureus</em>. Euro Surveill. 2008;13(35):18965. 10.2807/ese.13.35.18965-en</li>
+<li>Ciccolini M, Donker T, Köck R, Mielke M, Hendrix R, Jurke A, <em>et al.</em> Infection prevention in a connected world: the case for a regional approach. Int J Med Microbiol. 2013;303(6-7):380-7. 10.1016/j.ijmm.2013.02.003</li>
+<li>Souverein D, Houtman P, Euser SM, Herpers BL, Kluytmans J, Den Boer JW. Costs and Benefits Associated with the MRSA Search and Destroy Policy in a Hospital in the Region Kennemerland, The Netherlands. PLoS One. 2016;11(2):e0148175. 10.1371/journal.pone.0148175</li>
+<li>Jurke A, Köck R, Becker K, Thole S, Hendrix R, Rossen J, <em>et al.</em> Reduction of the nosocomial meticillin-resistant <em>Staphylococcus aureus</em> incidence density by a region-wide search and follow-strategy in forty German hospitals of the EUREGIO, 2009 to 2011. Euro Surveill. 2013;18(36):20579. 10.2807/1560-7917.ES2013.18.36.20579</li>
+<li>Eurostat. Nomenclature of territorial units for statistics (NUTS); National structures (EU). Eurostat; 2018. Available from: <a href="https://ec.europa.eu/eurostat/web/nuts/national-structures-eu" class="uri">https://ec.europa.eu/eurostat/web/nuts/national-structures-eu</a></li>
+<li>Eurostat. Population density by NUTS 3 region. Eurostat: 2018. Available from: <a href="https://ec.europa.eu/eurostat/web/products-datasets/product?code=demo_r_d3dens" class="uri">https://ec.europa.eu/eurostat/web/products-datasets/product?code=demo_r_d3dens</a></li>
+<li>Werkgroep Infectiepreventie (WIP). Meticilline-resistente <em>Staphylococcus aureus</em> (MRSA) – Ziekenhuizen [ Meticilline-resistente <em>Staphylococcus aureus</em> (MRSA) - hospitals]. Leiden; WIP; 2012. Dutch. Available from: <a href="http://www.rivm.nl/dsresource?objectid=3f054354-ff4a-43ef-91f9-7c6f0417be95&amp;type=org&amp;disposition=inline" class="uri">http://www.rivm.nl/dsresource?objectid=3f054354-ff4a-43ef-91f9-7c6f0417be95&amp;type=org&amp;disposition=inline</a></li>
+<li>Nederlandse Vereniging voor Medische Microbiologie (NVMM). NVvMM —richtlijn [Dutch Society for Medical Microbiology—Guideline: Laboratory detection of highly resistant microorganisms (HRMO) version 2.0]. Leeuwarden; NVMM; 2012. [Accessed 03 Feb 2019]. Available from: <a href="https://www.nvmm.nl/media/1051/2012_hrmo_mrsa_esbl.pdf" class="uri">https://www.nvmm.nl/media/1051/2012_hrmo_mrsa_esbl.pdf</a>.</li>
+<li>Surveillance NI. MRSA-KISS-Protocoll-2016; MRSA KISS Reference data 2016. [Accessed 03 Feb 2019]. Available from: <a href="https://www.nrz-hygiene.de/surveillance/kiss/mrsa-kiss/archiv/" class="uri">https://www.nrz-hygiene.de/surveillance/kiss/mrsa-kiss/archiv/</a> 2017.</li>
+<li>European Commission. Communication from the Commission to the European Parliament and the Council. Action plan against the rising threats from Antimicrobial Resistance. Brüssel: Publications Office of the European Union; 2011. Available from: <a href="https://www.eumonitor.eu/9353000/1/j4nvke1fm2yd1u0_j9vvik7m1c3gyxp/vkcwedxv7dzy/v=s7z/f=/com(2011)748_en.pdf" class="uri">https://www.eumonitor.eu/9353000/1/j4nvke1fm2yd1u0_j9vvik7m1c3gyxp/vkcwedxv7dzy/v=s7z/f=/com(2011)748_en.pdf</a></li>
+<li>PEG) P-E-GfC. GERMAP 2015 – Bericht über den Antibiotikaverbrauch und die Verbreitung von Antibiotikaresistenzen in der Human- und Veterinärmedizin in Deutschland. Rheinbach: Antiinfectives Intelligence; 2016. Report No.: 978-3-9818383-0-5. Available from: <a href="http://www.p-e-g.org/econtext/germap" class="uri">http://www.p-e-g.org/econtext/germap</a></li>
+<li>SWAB. NethMap 2017, Consumption of antimicrobial agents and antimicrobial resistance among medically important bacteria in The Netherlands in 2016. MARAN 2017, Monitoring of Antimicrobial Resistance and Antibiotic Usage in Animals in the Netherlands in 2016. Bergen; 2019. Available from: <a href="https://www.rivm.nl/bibliotheek/rapporten/2017-0056.pdf" class="uri">https://www.rivm.nl/bibliotheek/rapporten/2017-0056.pdf</a></li>
+<li>van der Zee A, Hendriks WD, Roorda L, Ossewaarde JM, Buitenwerf J. Review of a major epidemic of methicillin-resistant <em>Staphylococcus aureus</em>: the costs of screening and consequences of outbreak management. Am J Infect Control. 2013;41(3):204-9. 10.1016/j.ajic.2012.02.033</li>
+<li>Köck R, Werner P, Friedrich AW, Fegeler C, Becker K, Prevalence of Multiresistant Microorganisms (PMM) Study Group. Prevalence of Multiresistant Microorganisms PMM Study Group Persistence of nasal colonization with human pathogenic bacteria and associated antimicrobial resistance in the German general population. New Microbes New Infect. 2015;9:24-34. 10.1016/j.nmni.2015.11.004</li>
+<li>Weterings V, Veenemans J, van Rijen M, Kluytmans J. Prevalence of nasal carriage of methicillin-resistant <em>Staphylococcus aureus</em> in patients at hospital admission in the Netherlands, 2010 - 2017: an observational study. Clin Microbiol Infect. 2019;S1198-743X(19)30114-4. 10.1016/j.cmi.2019.03.012</li>
+<li>Köck R, Schaumburg F, Mellmann A, Köksal M, Jurke A, Becker K, <em>et al.</em> Livestock-associated methicillin-resistant <em>Staphylococcus aureus</em> (MRSA) as causes of human infection and colonization in Germany. PLoS One. 2013;8(2):e55040. 10.1371/journal.pone.0055040</li>
+<li>Schaumburg F, Köck R, Mellmann A, Richter L, Hasenberg F, Kriegeskorte A, <em>et al.</em> study group Population dynamics among methicillin-resistant <em>Staphylococcus aureus</em> isolates in Germany during a 6-year period. J Clin Microbiol. 2012;50(10):3186-92. 10.1128/JCM.01174-12</li>
+<li>Köck R, Brakensiek L, Mellmann A, Kipp F, Henderikx M, Harmsen D, <em>et al.</em> Cross-border comparison of the admission prevalence and clonal structure of meticillin-resistant <em>Staphylococcus aureus</em>. J Hosp Infect. 2009;71(4):320-6. 10.1016/j.jhin.2008.12.001</li>
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+<li>Pronovost P, Needham D, Berenholtz S, Sinopoli D, Chu H, Cosgrove S, <em>et al.</em> An intervention to decrease catheter-related bloodstream infections in the ICU. N Engl J Med. 2006;355(26):2725-32. 10.1056/NEJMoa061115</li>
+<li>Robert-Koch-Institute. Surveillance Statistics (Germany). <a href="mailto:SurvStat@RKI" class="email">SurvStat@RKI</a> 2.0. [Accessed 03 Feb 2019]. Available from: <a href="https://survstat.rki.de" class="uri">https://survstat.rki.de</a></li>
+<li>Walter J, Haller S, Blank HP, Eckmanns T, Abu Sin M, Hermes J. Incidence of invasive meticillin-resistant <em>Staphylococcus aureus</em> infections in Germany, 2010 to 2014. Euro Surveill. 2015;20(46):30067. 10.2807/1560-7917.ES.2015.20.46.30067</li>
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+<li>Olearo F, Albrich WC, Vernaz N, Harbarth S, Kronenberg A, Swiss Centre For Antibiotic Resistance Anresis <em>Staphylococcus aureus</em> and methicillin resistance in Switzerland: regional differences and trends from 2004 to 2014. Swiss Med Wkly. 2016;146:w14339. 10.4414/smw.2016.14339</li>
+<li>NVMM. Infectieziekten Surveillance Informatie Systeem - Antibiotica Resistentie (ISIS-AR). [Accessed 03 Feb 2019]. Available from: <a href="https://www.isis-web.nl" class="uri">https://www.isis-web.nl</a></li>
+<li>Raupach-Rosin H, Duddeck A, Gehrlich M, Helmke C, Huebner J, Pletz MW, <em>et al.</em> Deficits in knowledge, attitude, and practice towards blood culture sampling: results of a nationwide mixed-methods study among inpatient care physicians in Germany. Infection. 2017;45(4):433-41. 10.1007/s15010-017-0990-7</li>
+<li>Köck R, Kreienbrock L, van Duijkeren E, Schwarz S. Antimicrobial resistance at the interface of human and veterinary medicine. Vet Microbiol. 2017;200:1-5. 10.1016/j.vetmic.2016.11.013</li>
+<li>Maier GS, Thorey F, Kolbow K, Lazovic D, Lühmann M, Ohnsorge J, <em>et al.</em> Livestock-assoziierter Methicillin-resistenter <em>Staphylococcus aureus</em> – Erhebung einer orthopädischen Fachklinik im Hochrisikogebiet Nord-West. [Livestock-Associated Methicillin-Resistant <em>Staphylococcus aureus</em>: Epidemiological Data from an Orthopaedic Department in North-West Germany]. Z Orthop Unfall. 2017;155(3):304-9.</li>
+<li>Nillius D, von Müller L, Wagenpfeil S, Klein R, Herrmann M. Methicillin-Resistant <em>Staphylococcus aureus</em> in Saarland, Germany: The Long-Term Care Facility Study. PLoS One. 2016;11(4):e0153030. 10.1371/journal.pone.0153030</li>
+<li>Paget J, Aangenend H, Kühn M, Hautvast J, van Oorschot D, Olde Loohuis A, <em>et al.</em> MRSA Carriage in Community Outpatients: A Cross-Sectional Prevalence Study in a High-Density Livestock Farming Area along the Dutch-German Border. PLoS One. 2015;10(11):e0139589. 10.1371/journal.pone.0139589</li>
+</ol>
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@@ -302,19 +302,41 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
 </ul></li>
 <li class="chapter" data-level="8" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html"><i class="fa fa-check"></i><b>8</b> Defining Multidrug Resistance of Gram-Negative Bacteria in the Dutch-German Border Region: Impact of National Guidelines</a>
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-<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i><b>8.1</b> Abstract</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i>Abstract</a></li>
-<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.2</b> Introduction</a></li>
+<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.1</b> Introduction</a></li>
-<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.3</b> Methods</a></li>
+<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.2</b> Methods</a></li>
-<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.4</b> Results</a>
+<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.3</b> Results</a>
 <ul>
-<li class="chapter" data-level="8.4.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.4.1</b> Number of Antibiograms and Patients</a></li>
+<li class="chapter" data-level="8.3.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#number-of-antibiograms-and-patients"><i class="fa fa-check"></i><b>8.3.1</b> Number of Antibiograms and Patients</a></li>
-<li class="chapter" data-level="8.4.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.4.2</b> Results of MRGN and BRMO Classification</a></li>
+<li class="chapter" data-level="8.3.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-of-mrgn-and-brmo-classification"><i class="fa fa-check"></i><b>8.3.2</b> Results of MRGN and BRMO Classification</a></li>
 </ul></li>
-<li class="chapter" data-level="8.5" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.5</b> Discussion</a></li>
+<li class="chapter" data-level="8.4" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#discussion-4"><i class="fa fa-check"></i><b>8.4</b> Discussion</a></li>
-<li class="chapter" data-level="8.6" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i><b>8.6</b> Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#acknowledgements-3"><i class="fa fa-check"></i>Acknowledgements</a></li>
-<li class="chapter" data-level="8.7" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i><b>8.7</b> Conflicts of interest</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#conflicts-of-interest"><i class="fa fa-check"></i>Conflicts of interest</a></li>
 <li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#references-7"><i class="fa fa-check"></i>References</a></li>
 </ul></li>
+<li class="chapter" data-level="9" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html"><i class="fa fa-check"></i><b>9</b> Changing Epidemiology of Methicillin-Resistant <em>Staphylococcus aureus</em> in 42 Hospitals in the Dutch-German Border Region, 2012 to 2016: Results of the Search-and-Follow Policy</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#abstract-7"><i class="fa fa-check"></i>Abstract</a></li>
+<li class="chapter" data-level="9.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#introduction-6"><i class="fa fa-check"></i><b>9.1</b> Introduction</a></li>
+<li class="chapter" data-level="9.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#methods-3"><i class="fa fa-check"></i><b>9.2</b> Methods</a>
+<ul>
+<li class="chapter" data-level="9.2.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#setting"><i class="fa fa-check"></i><b>9.2.1</b> Setting</a></li>
+<li class="chapter" data-level="9.2.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#guidelines-for-patients-at-risk-for-mrsa-and-infection-prevention-and-control-measures"><i class="fa fa-check"></i><b>9.2.2</b> Guidelines for patients at risk for MRSA and infection prevention and control measures</a></li>
+<li class="chapter" data-level="9.2.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-collection"><i class="fa fa-check"></i><b>9.2.3</b> Data collection</a></li>
+<li class="chapter" data-level="9.2.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#ethical-statement"><i class="fa fa-check"></i><b>9.2.4</b> Ethical statement</a></li>
+<li class="chapter" data-level="9.2.5" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-analysis"><i class="fa fa-check"></i><b>9.2.5</b> Data analysis</a></li>
+</ul></li>
+<li class="chapter" data-level="9.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#results-4"><i class="fa fa-check"></i><b>9.3</b> Results</a>
+<ul>
+<li class="chapter" data-level="9.3.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#trend-and-cross-border-comparison-of-mrsa-rates"><i class="fa fa-check"></i><b>9.3.1</b> Trend and cross-border comparison of MRSA rates</a></li>
+<li class="chapter" data-level="9.3.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#cross-border-comparison-of-healthcare-utilisation"><i class="fa fa-check"></i><b>9.3.2</b> Cross-border comparison of healthcare utilisation</a></li>
+</ul></li>
+<li class="chapter" data-level="9.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#discussion-5"><i class="fa fa-check"></i><b>9.4</b> Discussion</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#acknowledgements-4"><i class="fa fa-check"></i>Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#funding-1"><i class="fa fa-check"></i>Funding</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#references-8"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
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 </ul></li>
 <li class="chapter" data-level="8" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html"><i class="fa fa-check"></i><b>8</b> Defining Multidrug Resistance of Gram-Negative Bacteria in the Dutch-German Border Region: Impact of National Guidelines</a>
 <ul>
-<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i><b>8.1</b> Abstract</a></li>
+<li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#abstract-6"><i class="fa fa-check"></i>Abstract</a></li>
-<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.2</b> Introduction</a></li>
+<li class="chapter" data-level="8.1" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#introduction-5"><i class="fa fa-check"></i><b>8.1</b> Introduction</a></li>
-<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.3</b> Methods</a></li>
+<li class="chapter" data-level="8.2" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#methods-2"><i class="fa fa-check"></i><b>8.2</b> Methods</a></li>
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+<li class="chapter" data-level="8.3" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#results-3"><i class="fa fa-check"></i><b>8.3</b> Results</a>
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 </ul></li>
+<li class="chapter" data-level="9" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html"><i class="fa fa-check"></i><b>9</b> Changing Epidemiology of Methicillin-Resistant <em>Staphylococcus aureus</em> in 42 Hospitals in the Dutch-German Border Region, 2012 to 2016: Results of the Search-and-Follow Policy</a>
+<ul>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#abstract-7"><i class="fa fa-check"></i>Abstract</a></li>
+<li class="chapter" data-level="9.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#introduction-6"><i class="fa fa-check"></i><b>9.1</b> Introduction</a></li>
+<li class="chapter" data-level="9.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#methods-3"><i class="fa fa-check"></i><b>9.2</b> Methods</a>
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+<li class="chapter" data-level="9.2.1" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#setting"><i class="fa fa-check"></i><b>9.2.1</b> Setting</a></li>
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+<li class="chapter" data-level="9.2.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#data-collection"><i class="fa fa-check"></i><b>9.2.3</b> Data collection</a></li>
+<li class="chapter" data-level="9.2.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#ethical-statement"><i class="fa fa-check"></i><b>9.2.4</b> Ethical statement</a></li>
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+</ul></li>
+<li class="chapter" data-level="9.3" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#results-4"><i class="fa fa-check"></i><b>9.3</b> Results</a>
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+<li class="chapter" data-level="9.3.2" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#cross-border-comparison-of-healthcare-utilisation"><i class="fa fa-check"></i><b>9.3.2</b> Cross-border comparison of healthcare utilisation</a></li>
+</ul></li>
+<li class="chapter" data-level="9.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#discussion-5"><i class="fa fa-check"></i><b>9.4</b> Discussion</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#acknowledgements-4"><i class="fa fa-check"></i>Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#funding-1"><i class="fa fa-check"></i>Funding</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#references-8"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
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docs/index.html

@@ -302,19 +302,41 @@ code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warni
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 <ul>
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 <li class="chapter" data-level="" data-path="ch08-defining-mdr.html"><a href="ch08-defining-mdr.html#references-7"><i class="fa fa-check"></i>References</a></li>
 </ul></li>
+<li class="chapter" data-level="9" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html"><i class="fa fa-check"></i><b>9</b> Changing Epidemiology of Methicillin-Resistant <em>Staphylococcus aureus</em> in 42 Hospitals in the Dutch-German Border Region, 2012 to 2016: Results of the Search-and-Follow Policy</a>
+<ul>
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+<li class="chapter" data-level="9.4" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#discussion-5"><i class="fa fa-check"></i><b>9.4</b> Discussion</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#acknowledgements-4"><i class="fa fa-check"></i>Acknowledgements</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#funding-1"><i class="fa fa-check"></i>Funding</a></li>
+<li class="chapter" data-level="" data-path="ch09-changing-epidemiology.html"><a href="ch09-changing-epidemiology.html#references-8"><i class="fa fa-check"></i>References</a></li>
+</ul></li>
 <li class="divider"></li>
 <li class="copyright">© 2021 Matthijs Berends</li>
 

docs/reference-keys.txt

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