Khan, Kamran, Mistry, Hema, Matharu, Manjit, Norman, Chloe, Petrou, Stavros, Stewart, Kimberley, Underwood, Martin and Achana, Felix A. (2022) Mapping between headache specific and generic preference-based health-related quality of life measures. BMC Medical Research Methodology, 22 (1). 277. doi:10.1186/s12874-022-01762-y ISSN 1471-2288.

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Abstract

Background: The Headache Impact Test (HIT-6) and the Chronic Headache Questionnaire (CH-QLQ) measure headache-related quality of life but are not preference-based and therefore cannot be used to generate health utilities for cost-effectiveness analyses. There are currently no established algorithms for mapping between the HIT-6 or CH-QLQ and preference-based health-related quality-of-life measures for chronic headache population. Methods: We developed algorithms for generating EQ-5D-5L and SF-6D utilities from the HIT-6 and the CHQLQ using both direct and response mapping approaches. A multi-stage model selection process was used to assess the predictive accuracy of the models. The estimated mapping algorithms were derived to generate UK tariffs and was validated using the Chronic Headache Education and Self-management Study (CHESS) trial dataset. Results: Several models were developed that reasonably accurately predict health utilities in this context. The best performing model for predicting EQ-5D-5L utility scores from the HIT-6 scores was a Censored Least Absolute Deviations (CLAD) (1) model that only included the HIT-6 score as the covariate (mean squared error (MSE) 0.0550). The selected model for CH-QLQ to EQ-5D-5L was the CLAD (3) model that included CH-QLQ summary scores, age, and gender, squared terms and interaction terms as covariates (MSE 0.0583). The best performing model for predicting SF-6D utility scores from the HIT-6 scores was the CLAD (2) model that included the HIT-6 score and age and gender as covariates (MSE 0.0102). The selected model for CH-QLQ to SF-6D was the OLS (2) model that included CH-QLQ summary scores, age, and gender as covariates (MSE 0.0086). Conclusion: The developed algorithms enable the estimation of EQ-5D-5L and SF-6D utilities from two headache-specific questionnaires where preference-based health-related quality of life data are missing. However, further work is needed to help define the best approach to measuring health utilities in headache studies.

Item Type:	Journal Article
Subjects:	R Medicine > RC Internal medicine
Divisions:	Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Clinical Trials Unit Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School
SWORD Depositor:	Library Publications Router
Library of Congress Subject Headings (LCSH):	Headache, Pain -- Measurement, Quality of life -- Research, Outcome assessment (Medical care), Migraine
Journal or Publication Title:	BMC Medical Research Methodology
Publisher:	BioMed Central Ltd.
ISSN:	1471-2288
Official Date:	26 October 2022
Dates:	Date Event 26 October 2022 Published 13 October 2022 Accepted
Volume:	22
Number:	1
Number of Pages:	11
Article Number:	277
DOI:	10.1186/s12874-022-01762-y
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access (Creative Commons)
Date of first compliant deposit:	22 November 2022
Date of first compliant Open Access:	22 November 2022

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