Candio, P, Pouwels, KB, Meads, D orcid.org/0000-0003-1369-2483 et al. (3 more authors) (2022) Modelling decay in effectiveness for evaluation of behaviour change interventions: a tutorial for public health economists. The European Journal of Health Economics, 23 (7). pp. 1151-1157. ISSN 1618-7598
Abstract
Background and purpose Recent methodological reviews of evaluations of behaviour change interventions in public health have highlighted that the decay in efectiveness over time has been mostly overlooked, potentially leading to suboptimal decision-making. While, in principle, discrete-time Markov chains—the most commonly used modelling approach—can be adapted to account for decay in efectiveness, this framework inherently lends itself to strong model simplifcations. The application of formal and more appropriate modelling approaches has been supported, but limited progress has been made to date. The purpose of this paper is to encourage this shift by ofering a practical guide on how to model decay in efectiveness using a continuous-time Markov chain (CTMC)-based approach. Methods A CTMC approach is demonstrated, with a contextualized tutorial being presented to facilitate learning and uptake. A worked example based on the stylized case study in physical activity promotion is illustrated with accompanying R code. Discussion The proposed framework presents a relatively small incremental change from the current modelling practice. CTMC represents a technical solution which, in absence of relevant data, allows for formally testing the sensitivity of results to assumptions regarding the long-term sustainability of intervention efects and improving model transparency. Conclusions The use of CTMC should be considered in evaluations where decay in efectiveness is likely to be a key factor to consider. This would enable more robust model-based evaluations of population-level programmes to promote behaviour change and reduce the uncertainty surrounding the decision to invest in these public health interventions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
Keywords: | Efect decay · Mathematical modelling · Public health · Decision-making · Structural uncertainty |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Academic Unit of Health Economics (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Academic Unit of Psychiatry and Behavioural Sciences (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 Oct 2022 11:37 |
Last Modified: | 19 Oct 2022 15:35 |
Status: | Published |
Publisher: | Springer Science and Business Media LLC |
Identification Number: | 10.1007/s10198-021-01417-7 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:191022 |