Abstract

BackgroundCarbapenemase-producing Enterobacteriaceae (CPE), bacteria which are resistant to the carbapenem class of antibiotics, present an urgent public health risk. The objective of this study was to assess the potential costs and consequences of implementing a testing strategy involving a polymerase chain reaction (PCR)-based diagnostic test for CPE amongst high risk patients upon admission to UK hospitals, to replace the current culture-based testing strategy.MethodsA decision-analytic model was developed to estimate the expected medical care costs associated with a PCR testing strategy for CPE compared with the current culture testing strategy, and to consider the consequences, in terms of the diagnostic accuracy and associated cost implications, of each approach. The modelled population were patients admitted to hospital at high risk of colonisation with CPE, with model pathways for current practice based on those described in the Public Health England (PHE) toolkit for CPE testing. Costs were estimated from a UK National Health Service (NHS) perspective, with outcomes presented in terms of percentage of samples identified as true positive, false positive, true negative and false negative following each method of testing.ResultsResults indicated that the PCR testing strategy led to an estimated cost saving of £462 per patient for a 5-day hospital stay. For all sensitivity analyses conducted, PCR testing resulted in an expected cost saving. Potential cost savings approached £850 per patient for the sensitivity analysis assuming a 15-day hospital stay, indicating that PCR testing results in greater cost savings as length of stay increases. Fewer false positive, and more true negative, cases were identified with the PCR testing strategy in all analyses conducted.ConclusionsThis economic analysis gives an insight into the potential cost savings that could be made by the UK NHS through the introduction of a PCR-based diagnostic testing strategy to replace current recommended culture-based methods for the detection of CPE. Savings are due primarily to a faster time to result with PCR, meaning that CPE-free patients are not isolated unnecessarily. Therefore, a PCR-based diagnostic may aid appropriate use of isolation resource.

Highlights

  • Carbapenemase-producing Enterobacteriaceae (CPE), bacteria which are resistant to the carbapenem class of antibiotics, present an urgent public health risk

  • Model overview A decision tree was built in TreeAge Pro® 2016 [7] to estimate the expected cost of CPE screening with polymerase chain reaction (PCR) compared with standard culture testing, and to consider the likely cost implications of an incorrect patient diagnosis based on the diagnostic accuracies of the two testing strategies

  • The diagnostic accuracy results indicate that a greater percentage of the patient cohort would be classified as FP after three culture tests than after the PCR test, while fewer patients would be classified as TN following culture testing compared with PCR

Read more

Summary

Introduction

Carbapenemase-producing Enterobacteriaceae (CPE), bacteria which are resistant to the carbapenem class of antibiotics, present an urgent public health risk. Carbapenemase-producing Enterobacteriaceae (CPE) present a threat to healthcare and are an urgent public health risk [1] These bacteria are resistant to the carbapenem class of antibiotics, often considered the “last resort” in the treatment of many bacterial infections. CPEs restrict treatment options for patients and are associated with increased morbidity and mortality [2]. They are readily transmissible in health care settings, and countries such as Greece and Italy are already considered endemic for some strains of CPE [2]. Recent research has estimated the cost of an outbreak of CPE in a London hospital group at over £1 million over 10 months [3], which makes a strong economic case for the early identification of patients colonised with CPE, and associated infection control procedures

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call