1. Mapping of the acromegaly quality of life questionnaire to ED-5D-5L index score among patients with acromegaly
- Author
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Huijuan Zhu, Lu Gao, Siyue Yu, Shuyang Zhang, Bing Xing, Zihao Wang, Kailu Wang, Xiaopeng Guo, and Dong Dong
- Subjects
Adult ,Economics, Econometrics and Finance (miscellaneous) ,Population ,External validity ,03 medical and health sciences ,0302 clinical medicine ,Goodness of fit ,EQ-5D ,Bayesian information criterion ,Surveys and Questionnaires ,Statistics ,Humans ,Medicine ,030212 general & internal medicine ,education ,education.field_of_study ,business.industry ,030503 health policy & services ,Health Policy ,Bayes Theorem ,Stepwise regression ,Cross-Sectional Studies ,Acromegaly ,Ordinary least squares ,Quality of Life ,Akaike information criterion ,0305 other medical science ,business - Abstract
This study aimed to develop a mapping function that links the acromegaly quality of life (AcroQoL) questionnaire to EQ-5D-5L to obtain a preference-based utility value to inform economic evaluation. A nationwide cross-sectional questionnaire survey among patients with acromegaly was conducted online in China during 17 December 2019 to 6 January 2020. The study sample was randomly divided into a training set and a validation set. Ordinary least squares (OLS), Tobit, beta-based mixture, and adjusted limited dependent variable mixture models were tested for development of the function in the training set. Total and subscale scores and individual items of AcroQoL were included as predictors in the models along with their squared terms and demographic and clinical characteristics, and selected by backward stepwise selection. The root mean square error, mean absolute error, Akaike’s information criterion, Bayesian information criterion and adjusted R-square were used to assess goodness of fit and predictive ability of the models. There were 424 adult patients with acromegaly eligible for this analysis. Average EQ-5D-5L index score and AcroQoL score for them was 0.82 (SD = 0.15) and 44.3 (SD = 22.9), respectively. A total of 60 candidate models were tested. Considering model simplicity and predictive ability in both training and validation set, the best model was the OLS model using scores of physical dimension and its square term as predictors. A validated mapping function was developed in this study for estimating EQ-5D scores using AcroQoL outcomes. Its external validity can be further tested in other population with Acromegaly.
- Published
- 2021