Dataset Information

Estimating a Preference-Based Index for Mental Health From the Recovering Quality of Life Measure: Valuation of Recovering Quality of Life Utility Index.

ABSTRACT:

Background

There are increasing concerns about the appropriateness of generic preference-based measures to capture health benefits in the area of mental health.

Objectives

The aim of this study is to estimate preference weights for a new measure, Recovering Quality of Life (ReQoL-10), to better capture the benefits of mental healthcare.

Methods

Psychometric analyses of a larger sample of mental health service users (n = 4266) using confirmatory factor analyses and item response theory were used to derive a health state classification system and inform the selection of health states for utility assessment. A valuation survey with members of the UK public representative in terms of age, sex, and region was conducted using face-to-face interviewer administered time-trade-off with props. A series of regression models were fitted to the data and the best performing model selected for the scoring algorithm.

Results

The ReQoL-Utility Index (UI) classification system comprises 6 mental health items and 1 physical health item. Sixty-four health states were valued by 305 participants. The preferred model was a random effects model, with significant and consistent coefficients and best model fit. Estimated utilities modeled for all health states ranged from -0.195 (state worse than dead) to 1 (best possible state).

Conclusions

The development of the ReQoL-UI is based on a novel application of item response theory methods for generating the classification system and selecting health states for valuation. Conventional time-trade-off was used to elicit utility values that are modeled to enable the generation of QALYs for use in cost-utility analysis of mental health interventions.

SUBMITTER: Keetharuth AD

PROVIDER: S-EPMC7871010 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Publications

Estimating a Preference-Based Index for Mental Health From the Recovering Quality of Life Measure: Valuation of Recovering Quality of Life Utility Index.

Keetharuth Anju Devianee AD Rowen Donna D Bjorner Jakob Bue JB Brazier John J

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research 20201127 2

<h4>Background</h4>There are increasing concerns about the appropriateness of generic preference-based measures to capture health benefits in the area of mental health.<h4>Objectives</h4>The aim of this study is to estimate preference weights for a new measure, Recovering Quality of Life (ReQoL-10), to better capture the benefits of mental healthcare.<h4>Methods</h4>Psychometric analyses of a larger sample of mental health service users (n = 4266) using confirmatory factor analyses and item resp ...[more]

PMID: 33518035

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Dataset Information

Estimating a Preference-Based Index for Mental Health From the Recovering Quality of Life Measure: Valuation of Recovering Quality of Life Utility Index.

Background

Objectives

Methods

Results

Conclusions

Publications

Estimating a Preference-Based Index for Mental Health From the Recovering Quality of Life Measure: Valuation of Recovering Quality of Life Utility Index.

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