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Prolongation of length of stay and Clostridium difficile infection: A review of the methods used to examine length of stay due to healthcare associated infections

Citation

Mitchell, BG and Gardner, A, Prolongation of length of stay and Clostridium difficile infection: A review of the methods used to examine length of stay due to healthcare associated infections, Antimicrobial Resistance and Infection Control, 1 Article 14. ISSN 2047-2994 (2012) [Refereed Article]


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Licensed under Creative Commons Attribution 2.0 Generic (CC BY 2.0) http://creativecommons.org/licenses/by/2.0/

DOI: doi:10.1186/2047-2994-1-14

Abstract

Background: It is believed that Clostridium difficile infection (CDI) contributes to a prolongation of length of stay (LOS). Recent literature suggests that models previously used to determine LOS due to infection have overestimated LOS, compared to newer statistical models. The purpose of this review is to understand the impact that CDI has on LOS and in doing so, describe the methodological approaches used.

Aim: First, to investigate and describe the reported prolongation of LOS in hospitalised patients with CDI. Second, to describe the methodologies used for determining excess LOS.

Methods: An integrative review method was used. Papers were reviewed and analysed individually and themes were combined using integrative methods.

Results: Findings from all studies suggested that CDI contributes to a longer LOS in hospital. In studies that compared persons with and without CDI, the difference in the LOS between the two groups ranged from 2.8 days to 16.1 days. Potential limitations with data analysis were identified, given that no study fully addressed the issue of a time-dependent bias when examining the LOS. Recent literature suggests that a multi-state model should be used to manage the issue of time-dependent bias.

Conclusion: Studies examining LOS attributed to CDI varied considerably in design and data collected. Future studies examining LOS related to CDI and other healthcare associated infections should consider capturing the timing of infection in order to be able to employ a multi-state model for data analysis.

Item Details

Item Type:Refereed Article
Keywords:Clostridium difficile infection, Clostridium difficile associated diarrhoea, cost, healthcare associated infection, length of stay, time dependent bias
Research Division:Medical and Health Sciences
Research Group:Nursing
Research Field:Nursing not elsewhere classified
Objective Division:Health
Objective Group:Public Health (excl. Specific Population Health)
Objective Field:Disease Distribution and Transmission (incl. Surveillance and Response)
Author:Mitchell, BG (Mr Brett Mitchell)
ID Code:81732
Year Published:2012
Web of Science® Times Cited:13
Deposited By:Health Sciences B
Deposited On:2013-01-04
Last Modified:2015-06-24
Downloads:250 View Download Statistics

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