Reddy, B.P., Walters, S.J. orcid.org/0000-0001-9000-8126, Duenas, A. et al. (2 more authors) (2019) A role for MCDA to navigate the trade-offs in the National Institute for Health and Care Excellence's public health recommendations. Operations Research for Health Care, 23. 100179. ISSN 2211-6923
Abstract
Recommendations made by the UK's National Institute for Health and Care Excellence (NICE) consider a range of relevant factors. Most famously, this includes interventions’ incremental cost-effectiveness ratios (ICER). Given the ICER's primacy in such decision-making, it is sometimes assumed as almost analogous to an optimisation problem, maximising the number of Quality Adjusted Life Years generated by the health system subject to costs. However, structured OR techniques could still prove beneficial in informing the broader decision-making problem. Decisions are currently arrived at by advisory committees through a combination of structured processes and relatively unstructured deliberations. In principle, decision makers are expected to consider dozens of relevant factors after the completion of the economic modelling stage. No model is currently used to combine these, and MCDA may be suitable to better structure and aid these discussions and to highlight the opportunity costs associated with them. This paper outlines some of the factors currently considered in public health settings, proposes a number of approaches as to how MCDA-inspired techniques could be grafted onto current NICE processes incrementally, and considers the appropriateness of their use in this setting given NICE's role in the health system. The paper focuses on the formulation of NICE's public health guidance, as this area has a specific focus on equity and the determinants of health, and is therefore has the most obvious need to balance ICERs and other factors.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Elsevier Ltd. This is an author produced version of a paper subsequently published in Operations Research for Health Care. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | MCDA; Evidence-based policy; Evidence-based decision-making; Public health; Health economics; Decision analytics |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 May 2019 13:08 |
Last Modified: | 03 Dec 2021 08:36 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.orhc.2019.02.001 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:146079 |