Health state utility values in schizophrenia: protocol for a systematic review and meta-analysis.


Journal

Evidence-based mental health
ISSN: 1468-960X
Titre abrégé: Evid Based Ment Health
Pays: England
ID NLM: 100883413

Informations de publication

Date de publication:
Nov 2019
Historique:
received: 26 03 2019
revised: 14 04 2019
accepted: 29 04 2019
pubmed: 28 5 2019
medline: 21 7 2020
entrez: 26 5 2019
Statut: ppublish

Résumé

Cost-effectiveness analyses that use quality-adjusted life-years (QALYs) allow comparing the value for money of interventions across different health problems. Health state utility values (HSUVs) are crucial to calculate QALYs. These are weights attached to a given health state reflecting preferences in health-related quality of life (HRQoL). In schizophrenia, there is extensive evidence about the consequences of this condition on HRQoL. Besides, several interventions have claimed to be cost-effective in terms of QALYs gained. Despite this evidence, a systematic review of HSUVs has not been conducted. Therefore, we aim to synthesise the evidence about HSUVs in schizophrenia. We will conduct a systematic review of the literature about HSUVs in people with schizophrenia following the Preferred Reporting Items for Systematic review and Meta-Analysis and the International Society for Pharmacoeconomics and Outcomes Research task force recommendations. The submissions records of eight electronic peer-reviewed databases and three health technology assessment (HTA) agencies will be searched. Quantitative synthesis will be carried out in comparable studies, using random-effects meta-analysis. Heterogeneity will be explored using meta-regression if more than 10 studies per covariate are found. A narrative synthesis and methodological quality of included studies will be also reported. This review will provide a synthesis of the HSUVs estimated for different states experienced by people with schizophrenia. This will inform analysts when calculating QALYs, using values in a more transparent and accountable manner. Finally, it will shed light on evidence gaps and limitations about this measure in mental health. CRD42019123582.

Identifiants

pubmed: 31126911
pii: ebmental-2019-300089
doi: 10.1136/ebmental-2019-300089
pmc: PMC10270392
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

142-144

Informations de copyright

© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

David Aceituno (D)

Health Service and Population Research, Institute of Psychiatry Psychology and Neuroscience, London, UK.
Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.

Mark Pennington (M)

Health Service and Population Research, Institute of Psychiatry Psychology and Neuroscience, London, UK.

Barbara Iruretagoyena (B)

Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.

Matthew A Prina (MA)

Health Service and Population Research, Institute of Psychiatry Psychology and Neuroscience, London, UK.

Paul McCrone (P)

Health Service and Population Research, Institute of Psychiatry Psychology and Neuroscience, London, UK.

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