fig:fig1-1 fig:fig1-2 fig:fig1-3 fig:fig1-4 fig:fig1-5 fig:fig2-1 fig:fig2-2 fig:fig2-3 fig:fig2-4 fig:fig2-5 fig:fig3-1 fig:fig3-2 fig:fig4-1 fig:fig5-1 fig:fig6-1 fig:fig6-2 fig:fig6-3 fig:fig6-4 fig:fig6-5 fig:fig6-6 fig:fig6-7 fig:fig6-a1 fig:fig7-1 fig:fig7-2 fig:fig7-3 fig:fig7-4 fig:fig8-1 fig:fig9-1 fig:fig10-1 fig:fig10-2 fig:fig10-3 fig:fig10-4 ch01-introduction microbial-epidemiology antimicrobial-resistance-in-microorganisms laboratory-diagnostics interpretation-of-raw-results multi-drug-resistant-organisms surveillance-programs data-analysis-using-r setting-for-this-thesis aim-of-this-thesis-and-introduction-to-its-chapters ch02-diagnostic-stewardship introduction case-1 case-2 the-general-concept diagnostics dsp-in-the-microbiological-laboratory dsp-as-process-optimisation multidisciplinary-aspects-of-dsp-and-infection-management conclusion ch03-introducing-new-method background standardising-amr-data-analysis comparison-with-existing-software-methods user-feedback conclusion-1 ch04-amr-r-package introduction-1 antimicrobial-resistance-data antimicrobial-resistance-data-transformation working-with-taxonomically-valid-microorganism-names properties-of-microorganisms working-with-antimicrobial-names-or-codes properties-of-antimicrobial-agents filtering-data-based-on-classes-of-antimicrobial-agents working-with-antimicrobial-susceptibility-test-results interpretative-rules-by-eucast working-with-defined-daily-doses-ddd enhancing-antimicrobial-resistance-data determining-first-isolates determining-multi-drug-resistant-organisms-mdro multi-drug-resistant-tuberculosis analysing-antimicrobial-resistance-data calculation-of-antimicrobial-resistance counts proportions design-decisions reproducible-example discussion ch05-radar introduction-2 background-1 objectives methods results overview application-design development-process workflow customisation discussion-1 principal-findings conclusions ch06-radar2 introduction-3 methods-1 study-setup amr-data amr-data-analysis-and-reporting study-participants study-execution-and-data evaluation-and-study-data-analysis results-1 study-participants-1 effectiveness-and-accuracy efficiency satisfaction discussion-2 ch07-cons introduction-4 materials-methods study-setting-and-patient-cohort microbiological-and-demographic-data species-determination-and-antibiotic-susceptibility-testing-ast selection-of-bacterial-isolates eucast-rules-and-antibiotic-resistance-analysis statistical-analysis ethical-considerations results-2 patients-and-included-isolates occurrence-of-cons-species definition-of-cons-persistence antibiotic-resistance-analysis glycopeptides macrolides fluoroquinolones beta-lactamspenicillins other-antibiotics other-relevant-species effect-of-patient-age-groups-on-antibiotic-resistance-in-cons discussion-3 ch08-defining-mdr introduction-5 methods-2 results-3 number-of-antibiograms-and-patients results-of-mrgn-and-brmo-classification discussion-4 ch09-changing-epidemiology introduction-6 methods-3 setting guidelines-for-patients-at-risk-for-mrsa-and-infection-prevention-and-control-measures data-collection ethical-statement data-analysis results-4 trend-and-cross-border-comparison-of-mrsa-rates cross-border-comparison-of-healthcare-utilisation discussion-5 ch10-multi-mdro-screening introduction-7 methods-4 study-design statistical-analysis-software ethics results-5 healthcare-structure-of-the-participating-hospitals study-population-and-screening-samples-from-icus prevalence-of-gram-positive-mdros-mrsa-and-vre prevalence-of-gram-negative-mdro-3gcre-and-cre prevalence-of-gram-negative-mdros-based-on-dutch-and-german-definitions comparison-of-mdro-prevalence-between-nl-br-and-de-br-icus-in-university-and-non-university-hospitals discussion-6 ch11-summary