MICE or NICE? An economic evaluation of clinical decision rules in the diagnosis of heart failure in primary care

Research output: Contribution to journalArticle

External organisations

  • OXFORD UNIVERSITY

Abstract

Background:
Detection and treatment of heart failure (HF) can improve quality of life and reduce premature mortality. However, symptoms such as breathlessness are common in primary care, have a variety of causes and not all patients require cardiac imaging. In systems where healthcare resources are limited, ensuring those patients who are likely to have HF undergo appropriate and timely investigation is vital.
Design: A decision tree was developed to assess the cost-effectiveness of using the MICE (Male, Infarction, Crepitations, Edema) decision rule compared to other diagnostic strategies to identify HF patients presenting to primary care.
Methods: Data from REFER (REFer for EchocaRdiogram), a HF diagnostic accuracy study, was used to determine which patients received the correct diagnosis decision. The model adopted a UK National Health Service (NHS) perspective.
Results: The current recommended National Institute for Health and Care Excellence (NICE) guidelines for identifying patients with HF was the most cost-effective option with a cost of £4,400 per Quality Adjusted Life Year (QALY) gained compared to a “do nothing” strategy. That is, patients presenting with symptoms suggestive of HF should be referred straight for echocardiography if they had a history of myocardial infarction or if their NT-proBNP level was ≥400pg/ml. The MICE rule was more expensive and less effective than the other comparators. Base-case results were robust to sensitivity analyses.
Conclusions: This represents the first cost-utility analysis comparing HF diagnostic strategies for symptomatic patients. Current guidelines in England were the most cost-effective option for identifying patients for confirmatory HF diagnosis. The low number of HF with Reduced Ejection Fraction patients (12%) in the REFER patient population limited the benefits of early detection.

Details

Original languageEnglish
Pages (from-to)255-261
Number of pages7
JournalInternational Journal of Cardiology
Volume241
Early online date2 Mar 2017
Publication statusPublished - 15 Aug 2017

Keywords

  • Heart Failure, Health economics, Economic evaluation, modelling, Decision Trees, PRIMARY CARE