TY - JOUR

T1 - Estimating a Preference-Based Index for Mental Health From the Recovering Quality of Life Measure

T2 - Valuation of Recovering Quality of Life Utility Index

AU - Keetharuth, Anju Devianee

AU - Rowen, Donna

AU - Bjorner, Jakob Bue

AU - Brazier, John

N1 - Copyright © 2020 ISPOR–The Professional Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Adolescent

KW - Adult

KW - Aged

KW - Aged, 80 and over

KW - Cost-Benefit Analysis/methods

KW - Female

KW - Health Status

KW - Hope

KW - Humans

KW - Interpersonal Relations

KW - Leisure Activities

KW - Male

KW - Mental Health/economics

KW - Middle Aged

KW - Personal Autonomy

KW - Psychometrics

KW - Quality of Life/psychology

KW - Socioeconomic Factors

KW - Surveys and Questionnaires/standards

KW - Young Adult

U2 - 10.1016/j.jval.2020.10.012

DO - 10.1016/j.jval.2020.10.012

M3 - Journal article

C2 - 33518035

VL - 24

SP - 281

EP - 290

JO - Value in Health

JF - Value in Health

SN - 1098-3015

IS - 2

ER -