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Bed Occupancy Rates and Hospital-Acquired Clostridium difficile Infection: A Cohort Study

Published online by Cambridge University Press:  28 May 2015

Lauren C. Ahyow ,
Paul C. Lambert ,
David R. Jenkins ,
Keith R. Neal  and
Martin Tobin
Lauren C. Ahyow*
Affiliation:
Department of Public Health, National Health Service Leicestershire County and Rutland, Glenfield, Leicestershire, United Kingdom
Paul C. Lambert
Affiliation:
Department of Health Sciences, University of Leicester, Leicester, United Kingdom Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
David R. Jenkins
Affiliation:
Department of Clinical Microbiology, University Hospitals of Leicester National Health Service Trust, Leicester Royal Infirmary, Leicester, United Kingdom
Keith R. Neal
Affiliation:
School of Community Health Sciences, Division of Public Health Sciences, University of Nottingham Medical School, Nottingham, United Kingdom
Martin Tobin
Affiliation:
Department of Health Sciences, University of Leicester, Leicester, United Kingdom Department of Genetics, University of Leicester, Leicester, United Kingdom National Institute for Health Research Leicester, Respiratory Biomedical Research Unit, Leicester, United Kingdom
*
Department of Public Health, National Health Service Leicestershire County and Rutland, County Hall, Glenfield, Leicestershire LE3 8TB, United Kingdom ([email protected])
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Abstract

Background.

An emergent strain (ribotype 027) of Clostridium difficile infection (CDI) has been implicated in epidemics worldwide. Organizational factors such as bed occupancy have been associated with an increased incidence of CDI; however, the data are sparse, and the association has not been widely demonstrated. We investigated the association of bed occupancy and CDI within a large hospital organization in the United Kingdom.

Objective.

To establish whether bed occupancy rates are a significant risk factor for CDI in the general ward setting.

Methods.

A retrospective cohort study was carried out on data from 2006 to 2008. Univariate and multivariate Cox regression modeling was used to examine the strength and significance of the associations. Variables included patient characteristics, antibiotic policy exposure, case mix, and bed occupancy rates.

Results.

A total of 1,589 cases of hospital-acquired CDI were diagnosed (1.7% of admissions), with an overall infection rate of 2.16 per 1,000 patient-days. Median bed occupancy was 93.3% (interquartile range, 83.3%–100%) Univariate and multivariate analyses showed positive and statistically significant associations. In the adjusted model, patients on wards with occupancy rates of 80%–89.9% had rates of CDI that were 56% higher (hazard ratio, 1.56 [95% confidence interval, 1.18–2.04]; P<.001) compared with baseline (0%–69.9% occupancy). CDI rates were 55% higher for patients on wards with maximal bed occupancy (100%).

Conclusions.

There is strong evidence of an association between high bed occupancy and CDI. Without effective interventions at high levels of bed occupancy, the economic benefits sought from reducing bed numbers may be negated by the increased risk of CDI.

Type
Original Article
Information
Infection Control & Hospital Epidemiology , Volume 34 , Issue 10 , October 2013 , pp. 1062 - 1069
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2013

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