How Qualitative Methods Can be Used to Inform Model Development

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, 2017, vol. 35, issue 6, No 1, 607-612

Abstract: Abstract Decision-analytic models play a key role in informing healthcare resource allocation decisions. However, there are ongoing concerns with the credibility of models. Modelling methods guidance can encourage good practice within model development, but its value is dependent on its ability to address the areas that modellers find most challenging. Further, it is important that modelling methods and related guidance are continually updated in light of any new approaches that could potentially enhance model credibility. The objective of this article was to highlight the ways in which qualitative methods have been used and recommended to inform decision-analytic model development and enhance modelling practices. With reference to the literature, the article discusses two key ways in which qualitative methods can be, and have been, applied. The first approach involves using qualitative methods to understand and inform general and future processes of model development, and the second, using qualitative techniques to directly inform the development of individual models. The literature suggests that qualitative methods can improve the validity and credibility of modelling processes by providing a means to understand existing modelling approaches that identifies where problems are occurring and further guidance is needed. It can also be applied within model development to facilitate the input of experts to structural development. We recommend that current and future model development would benefit from the greater integration of qualitative methods, specifically by studying ‘real’ modelling processes, and by developing recommendations around how qualitative methods can be adopted within everyday modelling practice.

Date: 2017
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DOI: 10.1007/s40273-017-0499-z

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