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Converting Parkinson-specific scores into health state utilities to assess cost-utility analysis
Chen, Gang García-Gordillo, Miguel Ángel Collado-Mateo, Daniel del Pozo-Cruz, Borja Adsuar, José C. Cordero-Ferrera, José Manuel Abellán-Perpiñán, José María Sánchez-Martínez, Fernando Ignacio
Chen, Gang
García-Gordillo, Miguel Ángel
Collado-Mateo, Daniel
del Pozo-Cruz, Borja
Adsuar, José C.
Cordero-Ferrera, José Manuel
Abellán-Perpiñán, José María
Sánchez-Martínez, Fernando Ignacio
Abstract
Objectives: The aim of this study was to compare the Parkinson’s Disease Questionnaire-8 (PDQ-8) with three multi-attribute utility (MAU) instruments (EQ-5D-3L, EQ-5D-5L, and 15D) and to develop mapping algorithms that could be used to transform PDQ-8 scores into MAU scores. Methods: A cross-sectional study was conducted. A final sample of 228 evaluable patients was included in the analyses. Sociodemographic and clinical data were also collected. Two EQ-5D questionnaires were scored using Spanish tariffs. Two models and three statistical techniques were used to estimate each model in the direct mapping framework for all three MAU instruments, including the most widely used ordinary least squares (OLS), the robust MM-estimator, and the generalized linear model (GLM). For both EQ-5D-3L and EQ-5D-5L, indirect response mapping based on an ordered logit model was also conducted. Three goodness-of-fit tests were employed to compare the models: the mean absolute error (MAE), the root-mean-square error (RMSE), and the intra-class correlation coefficient (ICC) between the predicted and observed utilities. Results: Health state utility scores ranged from 0.61 (EQ-5D-3L) to 0.74 (15D). The mean PDQ-8 score was 27.51. The correlation between overall PDQ-8 score and each MAU instrument ranged from − 0.729 (EQ-5D-5L) to − 0.752 (EQ-5D-3L). A mapping algorithm based on PDQ-8 items had better performance than using the overall score. For the two EQ-5D questionnaires, in general, the indirect mapping approach had comparable or even better performance than direct mapping based on MAE. Conclusions: Mapping algorithms developed in this study enable the estimation of utility values from the PDQ-8. The indirect mapping equations reported for two EQ-5D questionnaires will further facilitate the calculation of EQ-5D utility scores using other country-specific tariffs.
Keywords
Date
2018
Type
Journal article
Journal
Patient
Book
Volume
11
Issue
6
Page Range
665-675
Article Number
ACU Department
Institute for Positive Psychology and Education
Faculty of Health Sciences
Faculty of Health Sciences
Relation URI
Source URL
Event URL
Open Access Status
License
File Access
Controlled