A systematic review of research guidelines in Decision-Analytic Modelling

Maria Penaloza, Pelham Barton, Sue Jowett, Andrew Sutton

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)
314 Downloads (Pure)


Introduction: Decision-analytic modelling (DAM) has been increasingly used to aid decision making in healthcare. The growing use of modelling in economic evaluations has led to increased scrutiny of the methods used.

Aim: To perform a systematic review to identify and critically assess good practice guidelines, with particular emphasis on contemporary developments.

Methods: A systematic review of English language articles was undertaken to identify papers presenting guidance for good practice in DAM in the evaluation of healthcare. The inclusion criteria were: papers providing guidance or criteria against which to assess good practice in DAM and studies providing criteria or elements for good practice in some areas of DAM. The review covered the period January 1990 to March 2014 and included the following electronic bibliographic databases: Cochrane Library; Cochrane Methodology Register and HTA; NHS EED; MEDLINE and PubMed (Embase). Additional studies were identified by searching references.

Results: 33 papers were included in this review. A practical five-dimension framework was developed which describe the key elements of good research practice that should be considered and reported to increase the credibility of the results obtained from DAM in the evaluation of healthcare.

Discussion: This study is the first to critically review all available guidelines and statements of good practice in DAM since 2006. The development of good practice guidelines is an ongoing process and important efforts have been made to identify what is good practice and to keep these guidelines up-to-date.
Original languageEnglish
Pages (from-to)512-29
Number of pages18
JournalValue in Health
Issue number4
Early online date7 Feb 2015
Publication statusPublished - Jun 2015


  • Economic evaluation, modelling


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