Understanding and Identifying Key Issues with the Involvement of Clinicians in the Development of Decision-Analytic Model Structures: A Qualitative Study

Samantha Husbands (), Susan Jowett, Pelham Barton and Joanna Coast
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Samantha Husbands: University of Bristol
Susan Jowett: University of Birmingham
Pelham Barton: University of Birmingham
Joanna Coast: University of Bristol

PharmacoEconomics, 2018, vol. 36, issue 12, No 7, 1453-1462

Abstract: Abstract Introduction Decision-analytic models play an essential role in informing healthcare resource allocation decisions; however, their value to decision makers will depend on model structures being clinically valid to determine cost-effectiveness recommendations. Clinician involvement can help modellers to develop clinically valid but straightforward structures; however, there is little guidance available on methods for clinician input to model structure. This study aims to provide an in-depth exploration of clinician involvement in structural development, highlighting key issues and generating recommendations to optimise practices. Methods A qualitative study was undertaken with a range of modellers and clinicians working in different modelling contexts. In-depth interviews and case studies using observations were carried out to understand how clinicians are involved in model structural development and to identify problems and optimal approaches from informants’ perspectives. Results Twenty-four interviews and two case studies were undertaken with modellers and modelling teams. Key issues included the number and diversity of clinicians contributing to structural development, potentially impacting the generalisability of structures, and problems with clinician understanding of important information to contribute to model pathways. Modellers and clinicians suggested that clinician training in modelling could enhance structural processes. Conclusions Recommendations to optimise current practices include recruiting clinicians from a variety of backgrounds and using discussions between experts to develop valid and generalisable structures. Future research should focus on developing training materials for clinicians and finding ways to help modellers recruit clinicians from different settings.

Date: 2018
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DOI: 10.1007/s40273-018-0705-7

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