Health state utilities for economic evaluation of bariatric surgery: A comprehensive systematic review and meta-analysis.

EQ-5D health state utilities meta-analysis multiattribute utility instruments weight loss surgery

Journal

Obesity reviews : an official journal of the International Association for the Study of Obesity
ISSN: 1467-789X
Titre abrégé: Obes Rev
Pays: England
ID NLM: 100897395

Informations de publication

Date de publication:
08 2020
Historique:
received: 05 12 2019
revised: 12 03 2020
accepted: 23 03 2020
pubmed: 5 6 2020
medline: 13 5 2021
entrez: 5 6 2020
Statut: ppublish

Résumé

Health state utilities (HSUs) are health economic metrics that capture and assess health-related quality of life (HRQoL). They are essential in health-economic evaluations when calculating quality-adjusted life years. We investigated published studies reporting bariatric surgery-related HSUs elicited through direct or indirect (multiattribute utility instrument [MAUI]) patient-reported methods (PROSPERO registration number: CRD42019131725). Mean HSUs for different time points and HSU changes over time (where feasible) were meta-analysed using random-effects models. Of the 950 potentially relevant identified studies, n = 28 (2004-2018) qualified for data extraction, with n = 85 unique HSUs elicited mainly from the EQ-5D (88%). Most (75%) studies were published after 2013. The follow-up duration varied between studies and was often limited to 12 months. The pooled mean HSU was 0.72 (0.67-0.76) at baseline/presurgery (n = 18) and 0.84 (0.79-0.89) one-year postsurgery (n = 11), indicating a 0.11 (0.09-0.14) utility unit increment. EQ-5D showed the similar results. This positive difference can be partially explained by BMI and/or co-morbidities status improvement. This study provides a valuable summary of HSUs to future bariatric surgery-related cost-utility models. However, more well-designed higher-quality bariatric-related HSU studies are expected for future reviews to improve the available evidence. We suggest that researchers select an MAUI that is preferentially sensitive to the study population.

Identifiants

pubmed: 32497417
doi: 10.1111/obr.13028
doi:

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e13028

Subventions

Organisme : NHMRC Early Career Fellowship
ID : GNT1139826
Pays : International

Informations de copyright

© 2020 World Obesity Federation.

Références

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Auteurs

Qing Xia (Q)

Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.

Julie A Campbell (JA)

Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.

Hasnat Ahmad (H)

Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.

Lei Si (L)

Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
The George Institute for Global Health, University of New South Wales, Kensington, New South Wales, Australia.

Barbara de Graaff (B)

Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.

Petr Otahal (P)

Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.

Andrew J Palmer (AJ)

Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
Centre for Health Economics, School of Population and Global Health, University of Melbourne, Carlton, Victoria, Australia.

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