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

AI Article Synopsis

  • The study focuses on synthesizing health state utility values (HSUVs) relevant to schizophrenia, which are essential for calculating QALYs in cost-effectiveness analyses.
  • The researchers plan to conduct a systematic review, following established guidelines, by searching multiple databases and health technology assessment agencies.
  • The outcomes will help improve transparency in QALY calculations and identify gaps in evidence related to mental health interventions.

Article Abstract

Introduction: 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.

Methods And Analysis: 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.

Discussion: 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.

Prospero Registration Number: CRD42019123582.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10270392PMC
http://dx.doi.org/10.1136/ebmental-2019-300089DOI Listing

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