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MCDA-based deliberation to value health states: lessons learned from a pilot study

BACKGROUND: Health economists have shown a growing interest in deliberation and multi-criteria decision analysis (MCDA) as possible pathways to transparently integrate value judgments in cost-utility analyses. In line with these developments, this study piloted a consensus process to derive a German...

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Autores principales: Gansen, Fabia, Klinger, Julian, Rogowski, Wolf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604444/
https://www.ncbi.nlm.nih.gov/pubmed/31262318
http://dx.doi.org/10.1186/s12955-019-1189-7
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author Gansen, Fabia
Klinger, Julian
Rogowski, Wolf
author_facet Gansen, Fabia
Klinger, Julian
Rogowski, Wolf
author_sort Gansen, Fabia
collection PubMed
description BACKGROUND: Health economists have shown a growing interest in deliberation and multi-criteria decision analysis (MCDA) as possible pathways to transparently integrate value judgments in cost-utility analyses. In line with these developments, this study piloted a consensus process to derive a German value set for the Short-Form Six-Dimension (SF-6D). In a conference setting, a group was tasked to deliberate on scores and weights for the SF-6D from the perspective of a self-determined and independent life. METHODS: The one-day consensus conference was based on a deliberative process in combination with the MCDA method MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique). According to MACBETH, participants were asked to qualitatively rate pairwise comparisons of SF-6D health states. The scoring within each dimension was conducted in parallel group sessions. Final agreement on the scores as well as weights for the SF-6D dimensions were derived in a subsequent plenary assembly. Results were analyzed using the software M-MACBETH and qualitative content analysis. RESULTS: A total of 34 participants were recruited. While each of the 6 small groups presented a consented score, the plenary assembly reached consensus on all dimensions apart from pain. Concerning dimension weights, some participants favored prioritizing pain and mental health. Others disputed that trade-offs between dimensions and thus assigning weights were not acceptable in a context where this may involve withholding care from someone. As a consequence, no consensus on a value set was reached. Participants identified the group size of the plenary session and the applied weighting procedure as main obstacles to the process. CONCLUSIONS: This pilot study presents a consensus-based approach for valuing health-related quality of life. However, further research is needed on deliberative processes that yield quantifiable results. Future conferences should explore smaller group sizes, longer durations of the deliberative process and alternatives to the additive value function applied in MACBETH. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12955-019-1189-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-66044442019-07-12 MCDA-based deliberation to value health states: lessons learned from a pilot study Gansen, Fabia Klinger, Julian Rogowski, Wolf Health Qual Life Outcomes Research BACKGROUND: Health economists have shown a growing interest in deliberation and multi-criteria decision analysis (MCDA) as possible pathways to transparently integrate value judgments in cost-utility analyses. In line with these developments, this study piloted a consensus process to derive a German value set for the Short-Form Six-Dimension (SF-6D). In a conference setting, a group was tasked to deliberate on scores and weights for the SF-6D from the perspective of a self-determined and independent life. METHODS: The one-day consensus conference was based on a deliberative process in combination with the MCDA method MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique). According to MACBETH, participants were asked to qualitatively rate pairwise comparisons of SF-6D health states. The scoring within each dimension was conducted in parallel group sessions. Final agreement on the scores as well as weights for the SF-6D dimensions were derived in a subsequent plenary assembly. Results were analyzed using the software M-MACBETH and qualitative content analysis. RESULTS: A total of 34 participants were recruited. While each of the 6 small groups presented a consented score, the plenary assembly reached consensus on all dimensions apart from pain. Concerning dimension weights, some participants favored prioritizing pain and mental health. Others disputed that trade-offs between dimensions and thus assigning weights were not acceptable in a context where this may involve withholding care from someone. As a consequence, no consensus on a value set was reached. Participants identified the group size of the plenary session and the applied weighting procedure as main obstacles to the process. CONCLUSIONS: This pilot study presents a consensus-based approach for valuing health-related quality of life. However, further research is needed on deliberative processes that yield quantifiable results. Future conferences should explore smaller group sizes, longer durations of the deliberative process and alternatives to the additive value function applied in MACBETH. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12955-019-1189-7) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-01 /pmc/articles/PMC6604444/ /pubmed/31262318 http://dx.doi.org/10.1186/s12955-019-1189-7 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Gansen, Fabia
Klinger, Julian
Rogowski, Wolf
MCDA-based deliberation to value health states: lessons learned from a pilot study
title MCDA-based deliberation to value health states: lessons learned from a pilot study
title_full MCDA-based deliberation to value health states: lessons learned from a pilot study
title_fullStr MCDA-based deliberation to value health states: lessons learned from a pilot study
title_full_unstemmed MCDA-based deliberation to value health states: lessons learned from a pilot study
title_short MCDA-based deliberation to value health states: lessons learned from a pilot study
title_sort mcda-based deliberation to value health states: lessons learned from a pilot study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604444/
https://www.ncbi.nlm.nih.gov/pubmed/31262318
http://dx.doi.org/10.1186/s12955-019-1189-7
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