Controlling methicillin-resistant Staphylococcus aureus : Quantifying the effects of interventions and rapid diagnostic testing
Publication date
2006
Authors
Bootsma, M.C.
Diekmann, O.
Bonten, M.J.M.
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Document Type
Article
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Abstract
Control of nosocomial transmission of methicillin-resistant Staphylococcus
aureus (MRSA) has been unsuccessful in most countries.
Yet, some countries have maintained low endemic levels by implementing
nationwide MRSA-specific infection control measures,
such as ‘‘search & destroy’’ (S&D). These strategies, however, are
not based on well designed studies, and their use in countries with
high levels of endemicity is controversial. We present a stochastic
three-hospital model and an analytical one-hospital model to
quantify the effectiveness of different infection control measures
and to predict the effects of rapid diagnostic testing (RDT) on
isolation needs. Isolation of MRSA carriers identified by clinical
cultures is insufficient to control MRSA. However, combined with
proactive search (of high-risk patients on admission and or contacts
of index patients), it will maintain prevalence levels <1%.
Concerted implementation of S&D in countries with high nosocomial
endemicity reduces nosocomial prevalence to <1% within 6
years. Stepwise implementation of control measures can reduce
isolation capacities needed. RDT can reduce isolation needs by
>90% in low-endemic settings and by 20% in high-endemic settings.
Surveillance of colonization and improved hand hygiene can
markedly increase control efficacy. These findings strongly suggest
that: (i) causality exists between S&D and low MRSA prevalence; (ii)
isolating MRSA carriers identified by clinical cultures as a single
measure is insufficient for control; (iii) a combined approach of
isolation and screening confers efficacy; and (iv) MRSA-prevalence
levels can be reduced to <1% in high-endemic settings by S&D or
a stepwise approach to interventions. RDT can markedly enhance
feasibility.
Keywords
infection control, mathematical model, search & destroy, antibiotic resistance