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Published in: Antimicrobial Resistance & Infection Control 1/2015

Open Access 01-12-2015 | Research

Impact of different diagnostic technologies for MRSA admission screening in hospitals – a decision tree analysis

Authors: Claudia Hübner, Nils-Olaf Hübner, Christian Wegner, Steffen Flessa

Published in: Antimicrobial Resistance & Infection Control | Issue 1/2015

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Abstract

Background

Hospital infections with multiresistant bacteria, e.g., Methicillin-resistant Staphylococcus aureus (MRSA), cause heavy financial burden worldwide. Rapid and precise identification of MRSA carriage in combination with targeted hygienic management are proven to be effective but incur relevant extra costs. Therefore, health care providers have to decide which MRSA screening strategy and which diagnostic technology should be applied according to economic criteria.

Aim

The aim of this study was to determine which MRSA admission screening and infection control management strategy causes the lowest expected cost for a hospital. Focus was set on the Point-of-Care Testing (PoC).

Methods

A decision tree analytic cost model was developed, primarily based on data from peer-reviewed literature. In addition, univariate sensitivity analyses of the different input parameters were conducted to study the robustness of the results.

Findings

In the basic analysis, risk-based PoC screening showed the highest mean cost savings with 14.98 € per admission in comparison to no screening. Rapid universal screening methods became favorable at high MRSA prevalence, while in situations with low MRSA transmission rates omission of screening may be favorable.

Conclusion

Early detection of MRSA by rapid PoC or PCR technologies and consistent implementation of appropriate hygienic measures lead to high economic efficiency of MRSA management. Whether general or targeted screening is more efficient depends mainly on epidemiological and infrastructural parameters.
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Metadata
Title
Impact of different diagnostic technologies for MRSA admission screening in hospitals – a decision tree analysis
Authors
Claudia Hübner
Nils-Olaf Hübner
Christian Wegner
Steffen Flessa
Publication date
01-12-2015
Publisher
BioMed Central
Published in
Antimicrobial Resistance & Infection Control / Issue 1/2015
Electronic ISSN: 2047-2994
DOI
https://doi.org/10.1186/s13756-015-0093-0

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