» Articles » PMID: 22011533

Contribution of Interfacility Patient Movement to Overall Methicillin-resistant Staphylococcus Aureus Prevalence Levels

Overview
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: The effect of patient movement between hospitals and long-term care facilities (LTCFs) on methicillin-resistant Staphylococcus aureus (MRSA) prevalence levels is unknown. We investigated these effects to identify scenarios that may lead to increased prevalence in either facility type.

Methods: We used a hybrid simulation model to simulate MRSA transmission among hospitals and LTCFs. Transmission within each facility was determined by mathematical model equations. The model predicted the long-term prevalence of each facility and was used to assess the effects of facility size, patient turnover, and decolonization.

Results: Analyses of various healthcare networks suggest that the effect of patients moving from a LTCF to a hospital is negligible unless the patients are consistently admitted to the same unit. In such cases, MRSA prevalence can increase significantly regardless of the endemic level. Hospitals can cause sustained increases in prevalence when transferring patients to LTCFs, where the population size is smaller and patient turnover is less frequent. For 1 particular scenario, the steady-state prevalence of a LTCF increased from 6.9% to 9.4% to 13.8% when the transmission rate of the hospital increased from a low to a high transmission rate.

Conclusions: These results suggest that the relative facility size and the patient discharge rate are 2 key factors that can lead to sustained increases in MRSA prevalence. Consequently, small facilities or those with low turnover rates are especially susceptible to sustaining increased prevalence levels, and they become more so when receiving patients from larger, high-prevalence facilities. Decolonization is an infection-control strategy that can mitigate these effects.

Citing Articles

Approaches to multidrug-resistant organism prevention and control in long-term care facilities for older people: a systematic review and meta-analysis.

Wong V, Huang Y, Wei W, Wong S, Kwok K Antimicrob Resist Infect Control. 2022; 11(1):7.

PMID: 35033198 PMC: 8761316. DOI: 10.1186/s13756-021-01044-0.


Hybrid simulation modelling of networks of heterogeneous care homes and the inter-facility spread of Covid-19 by sharing staff.

Nguyen L, Megiddo I, Howick S PLoS Comput Biol. 2022; 18(1):e1009780.

PMID: 35020731 PMC: 8789158. DOI: 10.1371/journal.pcbi.1009780.


Simulation models for transmission of health care-associated infection: A systematic review.

Nguyen L, Megiddo I, Howick S Am J Infect Control. 2019; 48(7):810-821.

PMID: 31862167 PMC: 7161411. DOI: 10.1016/j.ajic.2019.11.005.


Population-level mathematical modeling of antimicrobial resistance: a systematic review.

Niewiadomska A, Jayabalasingham B, Seidman J, Willem L, Grenfell B, Spiro D BMC Med. 2019; 17(1):81.

PMID: 31014341 PMC: 6480522. DOI: 10.1186/s12916-019-1314-9.


A systematic review of transmission dynamic studies of methicillin-resistant Staphylococcus aureus in non-hospital residential facilities.

Kwok K, Read J, Tang A, Chen H, Riley S, Kam K BMC Infect Dis. 2018; 18(1):188.

PMID: 29669512 PMC: 5907171. DOI: 10.1186/s12879-018-3060-6.


References
1.
Milstone A, Passaretti C, Perl T . Chlorhexidine: expanding the armamentarium for infection control and prevention. Clin Infect Dis. 2008; 46(2):274-81. DOI: 10.1086/524736. View

2.
Austin D, Anderson R . Studies of antibiotic resistance within the patient, hospitals and the community using simple mathematical models. Philos Trans R Soc Lond B Biol Sci. 1999; 354(1384):721-38. PMC: 1692559. DOI: 10.1098/rstb.1999.0425. View

3.
Smith P, Bennett G, Bradley S, Drinka P, Lautenbach E, Marx J . SHEA/APIC guideline: infection prevention and control in the long-term care facility, July 2008. Infect Control Hosp Epidemiol. 2008; 29(9):785-814. PMC: 3319407. DOI: 10.1086/592416. View

4.
Griffin F . 5 Million Lives Campaign. Reducing methicillin-resistant Staphylococcus aureus (MRSA) infections. Jt Comm J Qual Patient Saf. 2008; 33(12):726-31. DOI: 10.1016/s1553-7250(07)33087-0. View

5.
Lesosky M, McGeer A, Simor A, Green K, Low D, Raboud J . Effect of patterns of transferring patients among healthcare institutions on rates of nosocomial methicillin-resistant Staphylococcus aureus transmission: a Monte Carlo simulation. Infect Control Hosp Epidemiol. 2011; 32(2):136-47. DOI: 10.1086/657945. View