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<title>9 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 | A New Instrument for Microbial Epidemiology</title>
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<meta property="og:description" content="This is the integral PhD thesis ‘A New Instrument for Microbial Epidemiology’ (DOI 10.33612/diss.177417131) by Matthijs S. Berends, which was defended publicly at the University of Groningen, the Netherlands, on 25 August 2021." />
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<meta name="twitter:title" content="9 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 | A New Instrument for Microbial Epidemiology" />
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<meta name="twitter:description" content="This is the integral PhD thesis ‘A New Instrument for Microbial Epidemiology’ (DOI 10.33612/diss.177417131) by Matthijs S. Berends, which was defended publicly at the University of Groningen, the Netherlands, on 25 August 2021." />
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<meta name="author" content="Matthijs S. Berends" />
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<meta name="date" content="2021-08-25" />
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<ul class="summary">
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<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>
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<li class="divider"></li>
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<li class="chapter" data-level="" data-path="index.html"><a href="index.html"><i class="fa fa-check"></i>Preamble</a>
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<ul>
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<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>
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<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>
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<ul>
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<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>
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<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>
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<ul>
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<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>
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<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>
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<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>
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<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>
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</ul></li>
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<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>
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<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>
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<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>
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<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>
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</ul></li>
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<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>
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<ul>
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<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>
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<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>
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<ul>
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<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>
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<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>
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</ul></li>
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<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>
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<ul>
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<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>
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<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>
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<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>
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<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>
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</ul></li>
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<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>
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<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>
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<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>
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</ul></li>
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<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>
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<ul>
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<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>
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<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>
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<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>
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<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>
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<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>
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<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>
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<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>
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</ul></li>
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<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>
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<ul>
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<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>
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<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>
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<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>
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<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>
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<ul>
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<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>
|
|||
|
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<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>
|
|||
|
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<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>
|
|||
|
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<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>
|
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|
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<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>
|
|||
|
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</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>
|
|||
|
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<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>
|
|||
|
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<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>
|
|||
|
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<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>
|
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|
|
</ul></li>
|
|||
|
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<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>
|
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|
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<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>
|
|||
|
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<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>
|
|||
|
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<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>
|
|||
|
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</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>
|
|||
|
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<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 & 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>
|
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<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>
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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>
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<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>
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<ul>
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<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>
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<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>
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<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="9.2.2" 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>
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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>
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<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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<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>
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</ul></li>
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<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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<ul>
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<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>
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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>
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</ul></li>
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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>
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<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>
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<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>
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<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>
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</ul></li>
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<li class="divider"></li>
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<li class="copyright">© 2021 Matthijs Berends</li>
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<h1>
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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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</h1>
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<section class="normal" id="section-">
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<div id="ch09-changing-epidemiology" class="section level1" number="9">
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<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>
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<p>Published in Eurosurveillance. 2019 Apr 11; 24(15): 180024</p>
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<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>
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<ol style="list-style-type: decimal">
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<li>North Rhine-Westphalian Centre for Health, Section Infectious Disease Epidemiology, Bochum, Germany</li>
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<li>North Rhine-Westphalian Centre for Health, Department Health Promotion, Health Protection, Bochum, Germany</li>
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<li>Laboratory for Medical Microbiology and Public Health (LabMicTA), Hengelo, Netherlands</li>
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<li>Certe Medical Diagnostics and Advice Foundation, Groningen, Netherlands</li>
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<li>University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, Netherlands</li>
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<li>University Hospital Münster, University of Münster, Institute of Medical Microbiology, Münster, Germany</li>
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<li>University Hospital Münster, University of Münster, Institute for Hygiene, Münster, Germany</li>
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<li>Institute of Hygiene, DRK Kliniken Berlin, Berlin, Germany</li>
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</ol>
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<div id="abstract-7" class="section level2 unnumbered">
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<h2>Abstract</h2>
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<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> < 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> < 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> < 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>
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</div>
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<div id="introduction-6" class="section level2" number="9.1">
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<h2><span class="header-section-number">9.1</span> Introduction</h2>
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<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>
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<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>
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<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>
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<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>
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<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>
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<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>
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</div>
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<div id="methods-3" class="section level2" number="9.2">
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<h2><span class="header-section-number">9.2</span> Methods</h2>
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<div id="setting" class="section level3" number="9.2.1">
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<h3><span class="header-section-number">9.2.1</span> Setting</h3>
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<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>
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<div class="figure" style="text-align: center"><span id="fig:fig9-1"></span>
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<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%" />
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<p class="caption">
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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).
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</p>
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</div>
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<div id="guidelines-for-patients-at-risk-for-mrsa-and-infection-prevention-and-control-measures" class="section level3" number="9.2.2">
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<h3><span class="header-section-number">9.2.2</span> Guidelines for patients at risk for MRSA and infection prevention and control measures</h3>
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<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>
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<p>The levels of isolation for inpatients with risk categories were the following:</p>
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<ul>
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<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>
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<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>
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<li>RL: Low-risk category: no isolation, awaiting new MRSA screening test results.</li>
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</ul>
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<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>
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<p class="tbl-caption">
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Table 1. Risk factors for MRSA carriage at admission according to Dutch and German MRSA guidelines, 2012–2016.
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</p>
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<p><img src="images/09-t01.jpg" width="100%" style="display: block; margin: auto;" /></p>
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</div>
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<div id="data-collection" class="section level3" number="9.2.3">
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<h3><span class="header-section-number">9.2.3</span> Data collection</h3>
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<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>
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<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>
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</div>
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<div id="ethical-statement" class="section level3" number="9.2.4">
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<h3><span class="header-section-number">9.2.4</span> Ethical statement</h3>
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<p>Ethical approval was asked from ethical committee at the University Medical Center Groningen (UMCG), and approval was not necessary for this study.</p>
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</div>
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<div id="data-analysis" class="section level3" number="9.2.5">
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<h3><span class="header-section-number">9.2.5</span> Data analysis</h3>
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<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>
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<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> < 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>
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<div id="results-4" class="section level2" number="9.3">
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<h2><span class="header-section-number">9.3</span> Results</h2>
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<div id="trend-and-cross-border-comparison-of-mrsa-rates" class="section level3" number="9.3.1">
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<h3><span class="header-section-number">9.3.1</span> Trend and cross-border comparison of MRSA rates</h3>
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<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> < 0.0001, Table 4).</p>
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<p class="tbl-caption">
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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>
|
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</p>
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<p><img src="images/09-t02.jpg" width="100%" style="display: block; margin: auto;" /></p>
|
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<p class="tbl-caption">
|
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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>
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</p>
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<p><img src="images/09-t03.jpg" width="100%" style="display: block; margin: auto;" /></p>
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<p class="tbl-caption">
|
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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>
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</p>
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<p><img src="images/09-t04.jpg" width="100%" style="display: block; margin: auto;" /></p>
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<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> < 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> < 0.0001), but did not change in NL-BRH (<em>p</em> < 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>
|
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</div>
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<div id="cross-border-comparison-of-healthcare-utilisation" class="section level3" number="9.3.2">
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<h3><span class="header-section-number">9.3.2</span> Cross-border comparison of healthcare utilisation</h3>
|
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<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> < 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>
|
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<p class="tbl-caption">
|
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|
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>
|
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</p>
|
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<p><img src="images/09-t05.jpg" width="100%" style="display: block; margin: auto;" /></p>
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</div>
|
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</div>
|
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<div id="discussion-5" class="section level2" number="9.4">
|
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<h2><span class="header-section-number">9.4</span> Discussion</h2>
|
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<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>
|
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<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>
|
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|
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<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>
|
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|
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<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>
|
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<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>
|
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|
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<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>
|
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|
|
<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>
|
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|
|
<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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