title: The potential regional impact of contact precaution use in nursing homes to control methicillin-resistant Staphylococcus aureus.
abstract: OBJECTIVE
  Implementation of contact precautions in nursing homes to prevent methicillin-resistant Staphylococcus aureus (MRSA) transmission could cost time and effort and may have wide-ranging effects throughout multiple health facilities. Computational modeling could forecast the potential effects and guide policy making.
  
  
  METHODS
  Our multihospital computational agent-based model, Regional Healthcare Ecosystem Analyst (RHEA).
  
  
  METHODS
  All hospitals and nursing homes in Orange County, California.
  
  
  METHODS
  Our simulation model compared the following 3 contact precaution strategies: (1) no contact precautions applied to any nursing home residents, (2) contact precautions applied to those with clinically apparent MRSA infections, and (3) contact precautions applied to all known MRSA carriers as determined by MRSA screening performed by hospitals.
  
  
  RESULTS
  Our model demonstrated that contact precautions for patients with clinically apparent MRSA infections in nursing homes resulted in a median 0.4% (range, 0%-1.6%) relative decrease in MRSA prevalence in nursing homes (with 50% adherence) but had no effect on hospital MRSA prevalence, even 5 years after initiation. Implementation of contact precautions (with 50% adherence) in nursing homes for all known MRSA carriers was associated with a median 14.2% (range, 2.1%-21.8%) relative decrease in MRSA prevalence in nursing homes and a 2.3% decrease (range, 0%-7.1%) in hospitals 1 year after implementation. Benefits accrued over time and increased with increasing compliance.
  
  
  CONCLUSIONS
  Our modeling study demonstrated the substantial benefits of extending contact precautions in nursing homes from just those residents with clinically apparent infection to all MRSA carriers, which suggests the benefits of hospitals and nursing homes sharing and coordinating information on MRSA surveillance and carriage status.
authors.affiliation: University of Pittsburgh, Pittsburgh, PA 15213, USA. BYL1@pitt.edu
authors.forename: Bruce Y
authors.initials: BY
authors.lastname: Lee
authors.forename: Ashima
authors.initials: A
authors.lastname: Singh
authors.forename: Sarah M
authors.initials: SM
authors.lastname: Bartsch
authors.forename: Kim F
authors.initials: KF
authors.lastname: Wong
authors.forename: Diane S
authors.initials: DS
authors.lastname: Kim
authors.forename: Taliser R
authors.initials: TR
authors.lastname: Avery
authors.forename: Shawn T
authors.initials: ST
authors.lastname: Brown
authors.forename: Courtney R
authors.initials: CR
authors.lastname: Murphy
authors.forename: S Levent
authors.initials: SL
authors.lastname: Yilmaz
authors.forename: Susan S
authors.initials: SS
authors.lastname: Huang
mesh_terms: D002140:California / Q000453:epidemiology; D003428:Cross Infection / Q000453:epidemiology / Q000517:prevention & control* / Q000635:transmission; D004196:Disease Outbreaks / Q000517:prevention & control* / Q000706:statistics & numerical data; D006761:Hospitals; D006801:Humans; D055624:Methicillin-Resistant Staphylococcus aureus; D008962:Models, Theoretical; D009735:Nursing Homes; D013203:Staphylococcal Infections / Q000453:epidemiology / Q000517:prevention & control* / Q000635:transmission