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Modelled Distributional Cost-Effectiveness Analysis of Childhood Obesity Interventions: A Demonstration

OBJECTIVE: To demonstrate how distributional cost-effectiveness analyses of childhood obesity interventions could be conducted and presented for decision makers. METHODS: We conducted modelled distributional cost-effectiveness analyses of three obesity interventions in children: an infant sleep inte...

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Autores principales: Killedar, Anagha, Lung, Thomas, Taylor, Rachael W., Hayes, Alison
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232580/
https://www.ncbi.nlm.nih.gov/pubmed/37221341
http://dx.doi.org/10.1007/s40258-023-00813-9
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author Killedar, Anagha
Lung, Thomas
Taylor, Rachael W.
Hayes, Alison
author_facet Killedar, Anagha
Lung, Thomas
Taylor, Rachael W.
Hayes, Alison
author_sort Killedar, Anagha
collection PubMed
description OBJECTIVE: To demonstrate how distributional cost-effectiveness analyses of childhood obesity interventions could be conducted and presented for decision makers. METHODS: We conducted modelled distributional cost-effectiveness analyses of three obesity interventions in children: an infant sleep intervention (POI–Sleep), a combined infant sleep, food, activity and breastfeeding intervention (POI–Combo) and a clinician-led treatment for primary school-aged children with overweight and obesity (High Five for Kids). For each intervention, costs and socioeconomic position (SEP)-specific effect sizes were applied to an Australian child cohort (n = 4898). Using a purpose-built microsimulation model we simulated SEP-specific body mass index (BMI) trajectories, healthcare costs and quality-adjusted life years (QALYs) from age 4 to 17 years for control and intervention cohorts. We examined the distribution of each health outcome across SEP and determined the net health benefit and equity impact accounting for opportunity costs and uncertainty due to individual-level heterogeneity. Finally, we conducted scenario analyses to test the effect of assumptions about health system marginal productivity, the distribution of opportunity costs and SEP-specific effect sizes. The results of the primary analyses, uncertainty analyses and scenario analyses were presented on an efficiency–equity impact plane. RESULTS: Accounting for uncertainty, POI–Sleep and High Five for Kids were found to be ‘win–win’ interventions, with a 67% and 100% probability, respectively, of generating a net health benefit and positive equity impact compared with control. POI–Combo was found to be a ‘lose–lose’ intervention, with a 91% probability of producing a net health loss and a negative equity impact compared with control. Scenario analyses indicated that SEP-specific effect sizes were highly influential on equity impact estimates for POI–Combo and High Five for Kids, while health system marginal productivity and opportunity cost distribution assumptions primarily influenced the net health benefit and equity impact of POI–Combo. CONCLUSIONS: These analyses demonstrated that distributional cost-effectiveness analyses using a fit-for-purpose model are appropriate for differentiating and communicating the efficiency and equity impacts of childhood obesity interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40258-023-00813-9.
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spelling pubmed-102325802023-06-02 Modelled Distributional Cost-Effectiveness Analysis of Childhood Obesity Interventions: A Demonstration Killedar, Anagha Lung, Thomas Taylor, Rachael W. Hayes, Alison Appl Health Econ Health Policy Original Research Article OBJECTIVE: To demonstrate how distributional cost-effectiveness analyses of childhood obesity interventions could be conducted and presented for decision makers. METHODS: We conducted modelled distributional cost-effectiveness analyses of three obesity interventions in children: an infant sleep intervention (POI–Sleep), a combined infant sleep, food, activity and breastfeeding intervention (POI–Combo) and a clinician-led treatment for primary school-aged children with overweight and obesity (High Five for Kids). For each intervention, costs and socioeconomic position (SEP)-specific effect sizes were applied to an Australian child cohort (n = 4898). Using a purpose-built microsimulation model we simulated SEP-specific body mass index (BMI) trajectories, healthcare costs and quality-adjusted life years (QALYs) from age 4 to 17 years for control and intervention cohorts. We examined the distribution of each health outcome across SEP and determined the net health benefit and equity impact accounting for opportunity costs and uncertainty due to individual-level heterogeneity. Finally, we conducted scenario analyses to test the effect of assumptions about health system marginal productivity, the distribution of opportunity costs and SEP-specific effect sizes. The results of the primary analyses, uncertainty analyses and scenario analyses were presented on an efficiency–equity impact plane. RESULTS: Accounting for uncertainty, POI–Sleep and High Five for Kids were found to be ‘win–win’ interventions, with a 67% and 100% probability, respectively, of generating a net health benefit and positive equity impact compared with control. POI–Combo was found to be a ‘lose–lose’ intervention, with a 91% probability of producing a net health loss and a negative equity impact compared with control. Scenario analyses indicated that SEP-specific effect sizes were highly influential on equity impact estimates for POI–Combo and High Five for Kids, while health system marginal productivity and opportunity cost distribution assumptions primarily influenced the net health benefit and equity impact of POI–Combo. CONCLUSIONS: These analyses demonstrated that distributional cost-effectiveness analyses using a fit-for-purpose model are appropriate for differentiating and communicating the efficiency and equity impacts of childhood obesity interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40258-023-00813-9. Springer International Publishing 2023-05-23 2023 /pmc/articles/PMC10232580/ /pubmed/37221341 http://dx.doi.org/10.1007/s40258-023-00813-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research Article
Killedar, Anagha
Lung, Thomas
Taylor, Rachael W.
Hayes, Alison
Modelled Distributional Cost-Effectiveness Analysis of Childhood Obesity Interventions: A Demonstration
title Modelled Distributional Cost-Effectiveness Analysis of Childhood Obesity Interventions: A Demonstration
title_full Modelled Distributional Cost-Effectiveness Analysis of Childhood Obesity Interventions: A Demonstration
title_fullStr Modelled Distributional Cost-Effectiveness Analysis of Childhood Obesity Interventions: A Demonstration
title_full_unstemmed Modelled Distributional Cost-Effectiveness Analysis of Childhood Obesity Interventions: A Demonstration
title_short Modelled Distributional Cost-Effectiveness Analysis of Childhood Obesity Interventions: A Demonstration
title_sort modelled distributional cost-effectiveness analysis of childhood obesity interventions: a demonstration
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232580/
https://www.ncbi.nlm.nih.gov/pubmed/37221341
http://dx.doi.org/10.1007/s40258-023-00813-9
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