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. 2010 Jun;31(6):598-606.
doi: 10.1086/652524.

Universal methicillin-resistant Staphylococcus aureus (MRSA) surveillance for adults at hospital admission: an economic model and analysis

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Universal methicillin-resistant Staphylococcus aureus (MRSA) surveillance for adults at hospital admission: an economic model and analysis

Bruce Y Lee et al. Infect Control Hosp Epidemiol. 2010 Jun.

Abstract

Background: Methicillin-resistant Staphylococcus aureus (MRSA) transmission and infections are a continuing problem in hospitals. Although some have recommended universal surveillance for MRSA at hospital admission to identify and to isolate MRSA-colonized patients, there is a need for formal economic studies to determine the cost-effectiveness of such a strategy.

Methods: We developed a stochastic computer simulation model to determine the potential economic impact of performing MRSA surveillance (ie, single culture of an anterior nares specimen) for all hospital admissions at different MRSA prevalences and basic reproductive rate thresholds from the societal and third party-payor perspectives. Patients with positive surveillance culture results were placed under isolation precautions to prevent transmission by way of respiratory droplets. MRSA-colonized patients who were not isolated could transmit MRSA to other hospital patients.

Results: The performance of universal MRSA surveillance was cost-effective (defined as an incremental cost-effectiveness ratio of less than $50,000 per quality-adjusted life-year) when the basic reproductive rate was 0.25 or greater and the prevalence was 1% or greater. In fact, surveillance was the dominant strategy when the basic reproductive rate was 1.5 or greater and the prevalence was 15% or greater, the basic reproductive rate was 2.0 or greater and the prevalence was 10% or greater, and the basic reproductive rate was 2.5 or greater and the prevalence was 5% or greater.

Conclusions: Universal MRSA surveillance of adults at hospital admission appears to be cost-effective at a wide range of prevalence and basic reproductive rate values. Individual hospitals and healthcare systems could compare their prevailing conditions (eg, the prevalence of MRSA colonization and MRSA transmission dynamics) with the benchmarks in our model to help determine their optimal local strategies.

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Conflict of interest statement

Potential conflicts of interest. All authors report no conflicts of interest relevant to this article.

Figures

FIGURE 1
FIGURE 1
A, Main model structure. *The original methicillin-resistant Staphylococcus aureus (MRSA) case generates new cases according to the basic reproductive rate. Each new case then enters the Infection versus No Infection Subtree. B, Preidentified MRSA carrier submodel structure. In this version of the model, each MRSA-colonized patient has a probability of being preidentified. Preidentified MRSA-positive patients are immediately placed under isolation precautions.
FIGURE 2
FIGURE 2
Methicillin-resistant Staphylococcus aureus infection outcomes submodel.
FIGURE 3
FIGURE 3
Graph of willingness-to-pay acceptability curves at different methicillin-resistant Staphylococcus aureus (MRSA) prevalences for the basic reproductive rate of 0.25.
FIGURE 4
FIGURE 4
Graph of incremental cost-effectiveness ratio of performing surveillance at different methicillin-resistant Staphylococcus aureus (MRSA) prevalence and basic reproductive rate values.

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