Skip to content

Systematic Review of Economic Models Used to Compare Techniques for Detecting Peripheral Arterial Disease.

Research output: Contribution to journalArticle

  • Eoin Moloney
  • J. O'Connor
  • D. Craig
  • S. Robalino
  • Alexandros Chrysos
  • M. Javanbakht
  • A. Sims
  • G. Stansby
  • S. Wilkes
  • J. Allen
Original languageEnglish
Pages (from-to)21-30
Issue number1
DatePublished - 23 Apr 2018


Background and objective
Peripheral arterial disease (PAD) is a common condition, in which atherosclerotic narrowing in the arteries restricts blood supply to the leg muscles. In order to support future model-based economic evaluations comparing methods of diagnosis in this area, a systematic review of economic modelling studies was conducted.

A systematic literature review was performed in June 2017 to identify model-based economic evaluations of diagnostic tests to detect PAD, with six individual databases searched. The review was conducted in accordance with the methods outlined in the Centre for Reviews and Dissemination’s guidance for undertaking reviews in healthcare, and appropriate inclusion criteria were applied. Relevant data were extracted, and studies were quality assessed.

Seven studies were included in the final review, all of which were published between 1995 and 2014. There was wide variation in the types of diagnostic test compared. The majority of the studies (six of seven) referenced the sources used to develop their model, and all studies stated and justified the structural assumptions. Reporting of the data within the included studies could have been improved. Only one identified study focused on the cost-effectiveness of a test typically used in primary care.

This review brings together all applied modelling methods for tests used in the diagnosis of PAD, which could be used to support future model-based economic evaluations in this field. The limited modelling work available on tests typically used for the detection of PAD in primary care, in particular, highlights the importance of future work in this area.


View research connections

Related faculties, schools or groups