Estimating an EQ-5D-Y-3L Value Set for Brazil

• Published in: PharmacoEconomics Vol. 42; no. 9; pp. 1047 - 1063
• Main Authors: Espirito Santo, Caique Melo, Miyamoto, Gisela Cristiane, Santos, Verônica Souza, Ben, Ângela Jornada, Finch, Aureliano Paolo, Roudijk, Bram, de Jesus-Moraleida, Fabianna Resende, Stein, Airton Tetelbom, Santos, Marisa, Yamato, Tiê Parma
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.09.2024; Springer Nature B.V
• Subjects: Adolescent; Adult; Adults; Brazil; Child; Children & youth; Choice Behavior; Clinical decision making; Cost analysis; Female; Health Administration; Health Economics; Health Status; Health technology assessment; Humans; Male; Medicine; Medicine & Public Health; Middle Aged; Original; Original Research Article; Pharmacoeconomics and Health Outcomes; Preferences; Public Health; Quality of Life; Quality of Life Research; Questionnaires; Surveys and Questionnaires; Teenagers; Valuation methods; Young Adult; Brazil
• ISSN: 1170-7690; 1179-2027; 1179-2027
• DOI: 10.1007/s40273-024-01404-9

Introduction The EQ-5D-Y-3L is a generic measure of health-related quality of life in children and adolescents. Although the Brazilian-Portuguese EQ-5D-Y-3L version is available, there is no value set for it, hampering its use in economic evaluations. This study aimed to elicit a Brazilian EQ-5D-Y-3L value set based on preferences of the general adult population. Methods Two independent samples of adults participated in an online discrete choice experiment (DCE) survey and a composite time trade-off (cTTO) face-to-face interview. The framing was “ considering your views for a 10-year-old child ”. DCE data were analyzed using a mixed-logit model. The 243 DCE predicted values were mapped into the observed 28 cTTO values using linear and non-linear mapping approaches with and without intercept. Mapping approaches’ performance was assessed to estimate the most valid method to rescale DCE predicted values using the model fit ( R 2 ), Akaike Information Criteria (AIC), root mean squared error (RMSE), and mean absolute error (MAE). Results A representative sample of 1376 Brazilian adults participated (DCE, 1152; cTTO, 211). The linear mapping without intercept ( R 2 = 96%; AIC, − 44; RMSE, 0.0803; MAE, − 0.0479) outperformed the non-linear without intercept ( R 2 = 98%; AIC, − 63; RMSE, 0.1385; MAE, − 0.1320). Utilities ranged from 1 (full health) to − 0.0059 (the worst health state). Highest weights were assigned to having pain or discomfort (pain/discomfort), followed by walking about (mobility), looking after myself (self-care), doing usual activities (usual activities), and feeling worried, sad, or unhappy (anxiety/depression). Conclusion This study elicited the Brazilian EQ-5D-Y-3L value set using a mixed-logit DCE model with a power parameter based on a linear mapping without intercept, which can be used to estimate the quality-adjusted life-years for economic evaluations of health technologies targeting the Brazilian youth population.