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Estimating EQ-5D utilities based on the Short-Form Long Term Conditions Questionnaire (LTCQ-8)

Tsiachristas, Apostolos, Potter, Caroline M., Rocks, Stephen, Peters, Michele, Cundell, Maureen, McShane, Rupert, Batchelder, Laurie, Fox, Diane, Forder, Julien E., Jones, Karen C., and others. (2020) Estimating EQ-5D utilities based on the Short-Form Long Term Conditions Questionnaire (LTCQ-8). Health and Quality of Life Outcomes, 18 (1). Article Number 279. ISSN 1477-7525. (doi:10.1186/s12955-020-01506-w) (KAR id:82799)


Purpose: The aim of this work was to develop a mapping algorithm for estimating EuroQoL 5 Dimension (EQ-5D) utilities from responses to the Long-Term Conditions Questionnaire (LTCQ), thus increasing LTCQ’s potential as a comprehensive outcome measure for evaluating integrated care initiatives. Methods: We combined data from three studies to give a total sample of 1334 responses. In each of the three datasets, we randomly selected 75% of the sample and combined the selected random samples to generate the estimation dataset, which consisted of 1001 patients. The unselected 25% observations from each dataset were combined to generate an internal validation dataset of 333 patients. We used direct mapping models by regressing responses to the LTCQ-8 directly onto EQ-5D-5L and EQ-5D-3L utilities as well as response (or indirect) mapping to predict the response level that patients selected for each of the five EQ-5D-5L domains. Several models were proposed and compared on mean squared error and mean absolute error. Results: A two-part model with OLS was the best performing based on the mean squared error (0.038) and mean absolute error (0.147) when estimating the EQ-5D-5L utilities. A multinomial response mapping model using LTCQ-8 responses was used to predict EQ-5D-5L responses levels. Conclusions: This study provides a mapping algorithm for estimating EQ-5D utilities from LTCQ responses. The results from this study can help broaden the applicability of the LTCQ by producing utility values for use in economic analyses.

Item Type: Article
DOI/Identification number: 10.1186/s12955-020-01506-w
Uncontrolled keywords: Quality of life, EQ-5D-5L, LTCQ, Mapping, PROMs, Integrated care
Subjects: H Social Sciences
R Medicine
Divisions: Divisions > Division for the Study of Law, Society and Social Justice > School of Social Policy, Sociology and Social Research > Personal Social Services Research Unit
Depositing User: Julien Forder
Date Deposited: 07 Sep 2020 15:17 UTC
Last Modified: 04 Mar 2024 19:13 UTC
Resource URI: (The current URI for this page, for reference purposes)

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