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Decision Making for Healthcare Resource Allocation: Joint v. Separate Decisions on Interacting Interventions

Standard guidance for allocating healthcare resources based on cost-effectiveness recommends using different decision rules for independent and mutually exclusive alternatives, although there is some confusion around the definition of “mutually exclusive.” This paper reviews the definitions used in...

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Autores principales: Dakin, Helen, Gray, Alastair
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5949981/
https://www.ncbi.nlm.nih.gov/pubmed/29683792
http://dx.doi.org/10.1177/0272989X18758018
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author Dakin, Helen
Gray, Alastair
author_facet Dakin, Helen
Gray, Alastair
author_sort Dakin, Helen
collection PubMed
description Standard guidance for allocating healthcare resources based on cost-effectiveness recommends using different decision rules for independent and mutually exclusive alternatives, although there is some confusion around the definition of “mutually exclusive.” This paper reviews the definitions used in the literature and shows that interactions (i.e., non-additive effects, whereby the effect of giving 2 interventions simultaneously does not equal the sum of their individual effects) are the defining feature of mutually exclusive alternatives: treatments cannot be considered independent if the costs and/or benefits of one treatment are affected by the other treatment. The paper then identifies and categorizes the situations in which interventions are likely to have non-additive effects, including interventions targeting the same goal or clinical event, or life-saving interventions given to overlapping populations. We demonstrate that making separate decisions on interventions that have non-additive effects can prevent us from maximizing health gained from the healthcare budget. In contrast, treating combinations of independent options as though they were “mutually exclusive” makes the analysis more complicated but does not affect the conclusions. Although interactions are considered by the World Health Organization, other decision makers, such as the National Institute for Health and Care Excellence (NICE), currently make independent decisions on treatments likely to have non-additive effects. We propose a framework by which interactions could be considered when selecting, prioritizing, and appraising healthcare technologies to ensure efficient, evidence-based decision making.
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spelling pubmed-59499812018-05-18 Decision Making for Healthcare Resource Allocation: Joint v. Separate Decisions on Interacting Interventions Dakin, Helen Gray, Alastair Med Decis Making Original Articles Standard guidance for allocating healthcare resources based on cost-effectiveness recommends using different decision rules for independent and mutually exclusive alternatives, although there is some confusion around the definition of “mutually exclusive.” This paper reviews the definitions used in the literature and shows that interactions (i.e., non-additive effects, whereby the effect of giving 2 interventions simultaneously does not equal the sum of their individual effects) are the defining feature of mutually exclusive alternatives: treatments cannot be considered independent if the costs and/or benefits of one treatment are affected by the other treatment. The paper then identifies and categorizes the situations in which interventions are likely to have non-additive effects, including interventions targeting the same goal or clinical event, or life-saving interventions given to overlapping populations. We demonstrate that making separate decisions on interventions that have non-additive effects can prevent us from maximizing health gained from the healthcare budget. In contrast, treating combinations of independent options as though they were “mutually exclusive” makes the analysis more complicated but does not affect the conclusions. Although interactions are considered by the World Health Organization, other decision makers, such as the National Institute for Health and Care Excellence (NICE), currently make independent decisions on treatments likely to have non-additive effects. We propose a framework by which interactions could be considered when selecting, prioritizing, and appraising healthcare technologies to ensure efficient, evidence-based decision making. SAGE Publications 2018-04-23 2018-05 /pmc/articles/PMC5949981/ /pubmed/29683792 http://dx.doi.org/10.1177/0272989X18758018 Text en © The Author(s) 2018 http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Articles
Dakin, Helen
Gray, Alastair
Decision Making for Healthcare Resource Allocation: Joint v. Separate Decisions on Interacting Interventions
title Decision Making for Healthcare Resource Allocation: Joint v. Separate Decisions on Interacting Interventions
title_full Decision Making for Healthcare Resource Allocation: Joint v. Separate Decisions on Interacting Interventions
title_fullStr Decision Making for Healthcare Resource Allocation: Joint v. Separate Decisions on Interacting Interventions
title_full_unstemmed Decision Making for Healthcare Resource Allocation: Joint v. Separate Decisions on Interacting Interventions
title_short Decision Making for Healthcare Resource Allocation: Joint v. Separate Decisions on Interacting Interventions
title_sort decision making for healthcare resource allocation: joint v. separate decisions on interacting interventions
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5949981/
https://www.ncbi.nlm.nih.gov/pubmed/29683792
http://dx.doi.org/10.1177/0272989X18758018
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