Mapping between headache specific and generic preference-based health-related quality of life measures
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 alg...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-10-01
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| Series: | BMC Medical Research Methodology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12874-022-01762-y |
| _version_ | 1811257169477107712 |
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| author | Kamran Khan Hema Mistry Manjit Matharu Chloe Norman Stavros Petrou Kimberley Stewart Martin Underwood Felix Achana |
| author_facet | Kamran Khan Hema Mistry Manjit Matharu Chloe Norman Stavros Petrou Kimberley Stewart Martin Underwood Felix Achana |
| author_sort | Kamran Khan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T17:53:09Z |
| format | Article |
| id | doaj.art-dc7a725b6d0a4b6e86d9708b0db424a2 |
| institution | Directory Open Access Journal |
| issn | 1471-2288 |
| language | English |
| last_indexed | 2024-04-12T17:53:09Z |
| publishDate | 2022-10-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Research Methodology |
| spelling | doaj.art-dc7a725b6d0a4b6e86d9708b0db424a22022-12-22T03:22:27ZengBMCBMC Medical Research Methodology1471-22882022-10-0122111110.1186/s12874-022-01762-yMapping between headache specific and generic preference-based health-related quality of life measuresKamran Khan0Hema Mistry1Manjit Matharu2Chloe Norman3Stavros Petrou4Kimberley Stewart5Martin Underwood6Felix Achana7Warwick Clinical Trials Unit, Warwick Medical School, University of WarwickWarwick Clinical Trials Unit, Warwick Medical School, University of WarwickHeadache Group, Institute of Neurology and The National Hospital for Neurology and NeurosurgeryWarwick Clinical Trials Unit, Warwick Medical School, University of WarwickWarwick Clinical Trials Unit, Warwick Medical School, University of WarwickWarwick Clinical Trials Unit, Warwick Medical School, University of WarwickWarwick Clinical Trials Unit, Warwick Medical School, University of WarwickCentre for Health Economics, Warwick Medical School, University of WarwickAbstract 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.https://doi.org/10.1186/s12874-022-01762-yHeadacheMigraineQuality of Life |
| spellingShingle | Kamran Khan Hema Mistry Manjit Matharu Chloe Norman Stavros Petrou Kimberley Stewart Martin Underwood Felix Achana Mapping between headache specific and generic preference-based health-related quality of life measures BMC Medical Research Methodology Headache Migraine Quality of Life |
| title | Mapping between headache specific and generic preference-based health-related quality of life measures |
| title_full | Mapping between headache specific and generic preference-based health-related quality of life measures |
| title_fullStr | Mapping between headache specific and generic preference-based health-related quality of life measures |
| title_full_unstemmed | Mapping between headache specific and generic preference-based health-related quality of life measures |
| title_short | Mapping between headache specific and generic preference-based health-related quality of life measures |
| title_sort | mapping between headache specific and generic preference based health related quality of life measures |
| topic | Headache Migraine Quality of Life |
| url | https://doi.org/10.1186/s12874-022-01762-y |
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