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Mapping health assessment questionnaire disability index onto EQ-5D-5L in China

OBJECTIVE: This research aimed to develop the more accurate mapping algorithms from health assessment questionnaire disability index (HAQ-DI) onto EQ-5D-5L based on Chinese Rheumatoid Arthritis patients. METHODS: The cross-sectional data of Chinese RA patients from 8 tertiary hospitals across four p...

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Autores principales: Wan, Chuchuan, Wang, Qiqi, Xu, Zhaoqi, Huang, Yuankai, Xi, Xiaoyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151687/
https://www.ncbi.nlm.nih.gov/pubmed/37143986
http://dx.doi.org/10.3389/fpubh.2023.1123552
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author Wan, Chuchuan
Wang, Qiqi
Xu, Zhaoqi
Huang, Yuankai
Xi, Xiaoyu
author_facet Wan, Chuchuan
Wang, Qiqi
Xu, Zhaoqi
Huang, Yuankai
Xi, Xiaoyu
author_sort Wan, Chuchuan
collection PubMed
description OBJECTIVE: This research aimed to develop the more accurate mapping algorithms from health assessment questionnaire disability index (HAQ-DI) onto EQ-5D-5L based on Chinese Rheumatoid Arthritis patients. METHODS: The cross-sectional data of Chinese RA patients from 8 tertiary hospitals across four provincial capitals was used for constructing the mapping algorithms. Direct mapping using Ordinary least squares regression (OLS), the general linear regression model (GLM), MM-estimator model (MM), Tobit regression model (Tobit), Beta regression model (Beta) and the adjusted limited dependent variable mixture model (ALDVMM) and response mapping using Multivariate Ordered Probit regression model (MV-Probit) were carried out. HAQ-DI score, age, gender, BMI, DAS28-ESR and PtAAP were included as the explanatory variables. The bootstrap was used for validation of mapping algorithms. The average ranking of mean absolute error (MAE), root mean square error (RMSE), adjusted R(2) (adjR(2)) and concordance correlation coefficient (CCC) were used to assess the predictive ability of the mapping algorithms. RESULTS: According to the average ranking of MAE, RMSE, adjR(2), and CCC, the mapping algorithm based on Beta performed the best. The mapping algorithm would perform better as the number of variables increasing. CONCLUSION: The mapping algorithms provided in this research can help researchers to obtain the health utility values more accurately. Researchers can choose the mapping algorithms under different combinations of variables based on the actual data.
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spelling pubmed-101516872023-05-03 Mapping health assessment questionnaire disability index onto EQ-5D-5L in China Wan, Chuchuan Wang, Qiqi Xu, Zhaoqi Huang, Yuankai Xi, Xiaoyu Front Public Health Public Health OBJECTIVE: This research aimed to develop the more accurate mapping algorithms from health assessment questionnaire disability index (HAQ-DI) onto EQ-5D-5L based on Chinese Rheumatoid Arthritis patients. METHODS: The cross-sectional data of Chinese RA patients from 8 tertiary hospitals across four provincial capitals was used for constructing the mapping algorithms. Direct mapping using Ordinary least squares regression (OLS), the general linear regression model (GLM), MM-estimator model (MM), Tobit regression model (Tobit), Beta regression model (Beta) and the adjusted limited dependent variable mixture model (ALDVMM) and response mapping using Multivariate Ordered Probit regression model (MV-Probit) were carried out. HAQ-DI score, age, gender, BMI, DAS28-ESR and PtAAP were included as the explanatory variables. The bootstrap was used for validation of mapping algorithms. The average ranking of mean absolute error (MAE), root mean square error (RMSE), adjusted R(2) (adjR(2)) and concordance correlation coefficient (CCC) were used to assess the predictive ability of the mapping algorithms. RESULTS: According to the average ranking of MAE, RMSE, adjR(2), and CCC, the mapping algorithm based on Beta performed the best. The mapping algorithm would perform better as the number of variables increasing. CONCLUSION: The mapping algorithms provided in this research can help researchers to obtain the health utility values more accurately. Researchers can choose the mapping algorithms under different combinations of variables based on the actual data. Frontiers Media S.A. 2023-04-18 /pmc/articles/PMC10151687/ /pubmed/37143986 http://dx.doi.org/10.3389/fpubh.2023.1123552 Text en Copyright © 2023 Wan, Wang, Xu, Huang and Xi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Wan, Chuchuan
Wang, Qiqi
Xu, Zhaoqi
Huang, Yuankai
Xi, Xiaoyu
Mapping health assessment questionnaire disability index onto EQ-5D-5L in China
title Mapping health assessment questionnaire disability index onto EQ-5D-5L in China
title_full Mapping health assessment questionnaire disability index onto EQ-5D-5L in China
title_fullStr Mapping health assessment questionnaire disability index onto EQ-5D-5L in China
title_full_unstemmed Mapping health assessment questionnaire disability index onto EQ-5D-5L in China
title_short Mapping health assessment questionnaire disability index onto EQ-5D-5L in China
title_sort mapping health assessment questionnaire disability index onto eq-5d-5l in china
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151687/
https://www.ncbi.nlm.nih.gov/pubmed/37143986
http://dx.doi.org/10.3389/fpubh.2023.1123552
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