Evidence map›Paper›PMID 30117116›Full record

ArticlePharmacoEconomics2018

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, Joanna Coast

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Article in PharmacoEconomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Samantha HusbandsPopulation Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol, BS8 1NU, England, UK. Samantha.husbands@bristol.ac.uk.ORCID http://orcid.org/0000-0003-2274-9947
Susan JowettHealth Economics Unit, Institute of Applied Health Research, University of Birmingham, Birmingham, England, UK.
Pelham BartonHealth Economics Unit, Institute of Applied Health Research, University of Birmingham, Birmingham, England, UK.
Joanna CoastPopulation Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol, BS8 1NU, England, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDecision-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.

methodsA 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.

resultsTwenty-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.

conclusionsRecommendations 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.

Indexed as

Decision MakingDecision Support TechniquesCost-Benefit AnalysisDelivery of Health CareHumansModels, TheoreticalResource Allocation

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