Article Text

PDF
Bed utilisation and increased risk of Clostridium difficile infections in acute hospitals in England in 2013/2014
  1. Venanzio Vella1,
  2. Paul P Aylin2,
  3. Luke Moore1,
  4. Alice King2,
  5. Nichola R Naylor1,
  6. Gabriel J C Birgand1,
  7. Hannah Lishman1,
  8. Alison Holmes1
  1. 1Health Protection Research Unit, Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, UK
  2. 2Dr Foster Unit at Imperial College London, School of Public Health, London, UK
  1. Correspondence to Dr Venanzio Vella, Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, Du Cane Road, London W12 0NN, UK; v.vella{at}imperial.ac.uk

Abstract

Background The study aimed to identify thresholds for hospital bed utilisation which are independently associated with significantly higher risks for Clostridium difficile infections (CDI) in acute hospitals in England.

Method A retrospective analysis was carried out on reported data from the English National Health Service (NHS) for the financial year 2013/2014. Reported rates of CDI were used as a proxy for hospital infection rates in acute NHS hospital trusts. Multivariate linear regression was used to assess the relationship between bed utilisation values and CDI controlling for confounding factors. Hospitals were finally plotted in a Pabon Lasso graph according to their average bed occupancy rate (BOR) and bed turnover rate (BTR) per year to visualise the relationship between bed utilisation and CDI.

Results Among English hospital NHS trusts, increasing BTR and decreasing BOR were associated with a decrease in CDI. However, this effect was not large, and patient mix had a larger impact on CDI rates than bed utilisation.

Conclusions While policymakers and managers wishing to target healthcare providers with high CDI rates should look at bed utilisation measures, focusing on these alone is unlikely to have the desired impact. Instead, strategies to combat CDI must take a wider perspective on contributory factors at the institutional level.

Statistics from Altmetric.com

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.