Evaluating hospital infection control measures for antimicrobial-resistant pathogens using stochastic transmission models: Application to vancomycin-resistant enterococci in intensive care units

Wei, Yinghui; Kypraios, Theodore; O’Neill, Philip D; Huang, Susan S; Rifas-Shiman, Sheryl L; Cooper, Ben S

Abstract

Nosocomial pathogens such as methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococci (VRE) are the cause of significant morbidity and mortality among hospital patients. It is important to be able to assess the efficacy of control measures using data on patient outcomes. In this paper, we describe methods for analysing such data using patient-level stochastic models which seek to describe the underlying unobserved process of transmission. The methods are applied to detailed longitudinal patient-level data on vancomycin-resistant Enterococci from a study in a US hospital with eight intensive care units (ICUs). The data comprise admission and discharge dates, dates and results of screening tests, and dates during which precautionary measures were in place for each patient during the study period. Results include estimates of the efficacy of the control measures, the proportion of unobserved patients colonized with vancomycin-resistant Enterococci, and the proportion of patients colonized on admission.

Citation

Wei, Y., Kypraios, T., O’Neill, P. D., Huang, S. S., Rifas-Shiman, S. L., & Cooper, B. S. (2018). Evaluating hospital infection control measures for antimicrobial-resistant pathogens using stochastic transmission models: Application to vancomycin-resistant enterococci in intensive care units. Statistical Methods in Medical Research, 27(1), 269-285. https://doi.org/10.1177/0962280215627299

• Journal Article Type: Article
• Online Publication Date: Mar 16, 2016
• Publication Date: 2018-01
• Deposit Date: Feb 19, 2025
• Publicly Available Date: Mar 4, 2025
• Journal: Statistical Methods in Medical Research
• Print ISSN: 0962-2802
• Electronic ISSN: 1477-0334
• Publisher: SAGE Publications
• Peer Reviewed: Peer Reviewed
• Volume: 27
• Issue: 1
• Pages: 269-285
• DOI: https://doi.org/10.1177/0962280215627299
• Keywords: Antimicrobial resistance, Bayesian methods, healthcare-associated infections, MRSA, vancomycin-resistant Enterococci
• Public URL: https://nottingham-repository.worktribe.com/output/45595133
• Publisher URL: https://journals.sagepub.com/doi/10.1177/0962280215627299