Author | Castro, Rodolfo | |
Author | De Boni, Raquel B. | |
Author | Perazzo, Hugo | |
Author | Grinsztejn, Beatriz | |
Author | Veloso, Valdiléa G. | |
Author | Ribeiro-Alves, Marcelo | |
Access date | 2020-10-26T23:53:29Z | |
Available date | 2020-10-26T23:53:29Z | |
Document date | 2020 | |
Citation | CASTRO, Rodolfo et al. Development of algorithms to estimate EQ-5D and derive health utilities from WHOQOL-HIV Bref: a mapping study. Quality of Life Research, v. 29, n. 9, p. 2497-2508, 2020. | pt_BR |
ISSN | 0962-9343 | pt_BR |
URI | https://www.arca.fiocruz.br/handle/icict/44213 | |
Language | eng | pt_BR |
Publisher | Springer | pt_BR |
Rights | restricted access | pt_BR |
Title | Development of algorithms to estimate EQ-5D and derive health utilities from WHOQOL-HIV Bref: a mapping study | pt_BR |
Type | Article | pt_BR |
DOI | 10.1007/s11136-020-02534-1 | |
Abstract | Purpose: This study aimed to develop and evaluate different families of applicable models available for utility mapping between World Health Organization Quality of Life for HIV-abbreviated version (WHOQOL-HIV Bref) and EQ-5D-3L and to propose an optimised algorithm to estimate health utilities of people living with HIV.
Methods: Estimation dataset was collected between July 2014 and September 2016 in a cross-sectional study including 1526 people living with HIV/Aids (PLWH) under care at the Instituto Nacional de Infectologia Evandro Chagas-FIOCRUZ, in Brazil. Data of WHOQOL-HIV Bref and EQ-5D-3L questionnaires were collected. Fisher's exact tests were used for testing WHOQOL-HIV Bref response frequencies among groups of responses to each of the five EQ-5D-3L domains. Multiple correspondence analyses (MCA) were used to inspect the relationships between both instrument responses. Different families of applicable models available for utility mapping between WHOQOL-HIV Bref and EQ-5D-3L were adjusted for the prediction of disutility.
Results: Candidate models' performances using mean absolute error (MAE), mean squared error (MSE), and root mean squared error (RMSE) were similarly good, which was evidenced by the overlapping of its 95% confidence intervals of the mean tenfold cross-validation or estimated generalisation errors. However, the Hurdle Logistic-Log-Normal model was better on average according to generalisation errors both in the prediction of Brazilian utility values (MAE = 0.1037, MSE = 0.0178, and RMSE = 0.1332) and for those of the UK (MAE = 0.1476, MSE = 0.0443, and RMSE = 0.2099).
Conclusions: Mapping EQ-5D-3L responses or deriving health utilities directly from WHOQOL-HIV Bref responses can be a valid alternative for settings with no preference-based health utility data. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca. Rio de Janeiro, RJ, Brasil / Universidade Federal do Estado do Rio de Janeiro. Instituto de Saúde Coletiva. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil. | pt_BR |
Subject | Algorithms | pt_BR |
Subject | Cost–utility analysis | pt_BR |
Subject | Health economics | pt_BR |
Subject | Health-related quality of life | pt_BR |