Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/126620
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Type: Journal article
Title: Model structuring for economic evaluations of new health technologies
Author: Haji Ali Afzali, H.
Bojke, L.
Karnon, J.
Citation: PharmacoEconomics, 2018; 36(11):1309-1319
Publisher: Springer Nature
Issue Date: 2018
ISSN: 1170-7690
1179-2027
Statement of
Responsibility: 
Hossein Haji Ali Afzali, Laura Bojke, Jonathan Karnon
Abstract: In countries such as Australia, the UK and Canada, decisions on whether to fund new health technologies are commonly informed by decision analytic models. While the impact of making inappropriate structural choices/assumptions on model predictions is well noted, there is a lack of clarity about the definition of key structural aspects, the process of developing model structure (including the development of conceptual models) and uncertainty associated with the structuring process (structural uncertainty) in guidelines developed by national funding bodies. This forms the focus of this article. Building on the reports of good modelling practice, and recognising the fundamental role of model structuring within the model development process, we specified key structural choices and provided ideas about model structuring for the future direction. This will help to further standardise guidelines developed by national funding bodies, with potential impact on transparency, comprehensiveness and consistency of model structuring. We argue that the process of model structuring and structural sensitivity analysis should be documented in a more systematic and transparent way in submissions to national funding bodies. Within the decision-making process, the development of conceptual models and presentation of all key structural choices would mean that national funding bodies could be more confident of maximising value for money when making public funding decisions.
Keywords: Humans; Models, Economic; Uncertainty; Decision Making; Decision Support Techniques; Models, Theoretical; Biomedical Technology; Cost-Benefit Analysis; Technology Assessment, Biomedical; Guidelines as Topic
Rights: © Springer Nature Switzerland AG 2018
RMID: 0030094691
DOI: 10.1007/s40273-018-0693-7
Appears in Collections:Public Health publications

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