Brazilian Valuation of EQ-5D-3L Health States: Results from a Saturation Study.
Most EQ-5D-3L valuation studies include the same sample of health states that was used in the protocol of the original UK Measurement and Valuation of Health (MVH) study. Thus far, no studies using a time tradeoff utility elicitation method have been carried out using all 243 EQ-5D health states. Because the values and preferences regarding health outcomes differ among countries, it is essential to have country-specific data to enable local high-level decisions regarding resource allocation. This study developed a country-specific set of values for EQ-5D-3L health states.



A multicentric study was conducted in 4 Brazilian areas. A probabilistic sample of the general population, aged 18 to 64 y, stratified by age and gender, was surveyed. The interview followed a revised version of the MVH protocol, in which all 243 health states were valued. Each respondent ranked and valued 7 health states using the TTO in a home interview.



Data were collected from 9148 subjects. The best-fitting regression model was an individual-level mixed-effects model without any interaction terms. The dimensions "Mobility" and "Usual Activities" were associated with higher losses in health state utility value. The "Anxiety/Depression" dimension was the domain that contributed to lower losses in health state utility value.



This study generated significant insight into the Brazilian population's health preferences that can be applied to health technology assessment and economic analyses in Brazil. This information represents an important new tool that can be used in Brazilian health policy creation and evaluation.
Instituto Nacional de Cardiologia, Rio de Janeiro, Brazil (MS, MACTC, ALM, BS, BT)
Marisa
M
Santos
Instituto Nacional de Cardiologia, Rio de Janeiro, Brazil (MS, MACTC, ALM, BS, BT)
Monica A C T
MA
Cintra
Instituto Nacional de Cardiologia, Rio de Janeiro, Brazil (MS, MACTC, ALM, BS, BT)
Andrea L
AL
Monteiro
Instituto Nacional de Cardiologia, Rio de Janeiro, Brazil (MS, MACTC, ALM, BS, BT)
Braulio
B
Santos
Instituto de Medicina Integral Professor Fernando Figueira, Recife, Brazil (FG-f)
Fernando
F
Gusmão-Filho
Departamento de Economia, Centro de Desenvolvimento e Planejamento Regional, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil (MVA, KN)
Mônica Viegas
MV
Andrade
Departamento de Economia, Centro de Desenvolvimento e Planejamento Regional, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil (MVA, KN)
Kenya
K
Noronha
Departamento de Epidemiologia, Programa de Pós-graduação em Epidemiologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (LNC)
Luciane N
LN
Cruz
Departamento de Estatística, Programa de Pós-graduação em Epidemiologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (SC)
Suzi
S
Camey
Instituto Nacional de Cardiologia, Rio de Janeiro, Brazil (MS, MACTC, ALM, BS, BT)
Bernardo
B
Tura
Academic Unit of Health Economics, Institute of Health Sciences, University of Leeds, Leeds, UK (PK)
Paul
P
Kind
D000203:Activities of Daily Living; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D001938:Brazil / Q000453:epidemiology; D005260:Female; D006304:Health Status; D006801:Humans; D008297:Male; D008603:Mental Health; D008875:Middle Aged; D051346:Mobility Limitation; D010146:Pain / Q000453:epidemiology; D011788:Quality of Life; D012737:Sex Factors; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires / Q000592:standards*; D013997:Time Factors; D055815:Young Adult
EQ-5D; outcomes research; preference weights; quality-adjusted life-years; social value set; time tradeoff (TTO); value set