Health inequity assessment in Brazil: is EQ-5D-3L sensible enough to detect differences among distinct socioeconomic groups?

Abstract Background Multidimensional health-related quality of life (HRQOL) instruments, such as the EQ-5D, are increasingly used to assess inequalities in health. However, it is necessary to explore the ability of these instruments to capture differences between population groups, especially in low...

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Main Authors: Bernardo Rangel Tura, Milene Rangel da Costa, Sylvia Lordello, Danillo Barros, Yuri Souza, Marisa da Silva Santos
Format: Article
Language:English
Published: BMC 2024-02-01
Series:Health and Quality of Life Outcomes
Subjects:
Online Access:https://doi.org/10.1186/s12955-024-02235-0
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author Bernardo Rangel Tura
Milene Rangel da Costa
Sylvia Lordello
Danillo Barros
Yuri Souza
Marisa da Silva Santos
author_facet Bernardo Rangel Tura
Milene Rangel da Costa
Sylvia Lordello
Danillo Barros
Yuri Souza
Marisa da Silva Santos
author_sort Bernardo Rangel Tura
collection DOAJ
description Abstract Background Multidimensional health-related quality of life (HRQOL) instruments, such as the EQ-5D, are increasingly used to assess inequalities in health. However, it is necessary to explore the ability of these instruments to capture differences between population groups, especially in low/middle-income countries. This study aimed to investigate whether the EQ-5D-3L instrument can detect differences in HRQOL between groups of different socioeconomic status (SES) in Brazil. Methods Data collection occurred during the Brazilian EQ-5D-3L valuation study and included respondents aged 18 to 64 years enrolled in urban areas. SES was aggregated into three categories: “higher” (A and B), “intermediate” (C) and “lower” (D and E). EQ-5D-3L index was calculated considering the Brazilian value set. A mixed-effects regression model was estimated with random effects on individuals and marginal effects on SES, sex, and educational attainment. Odds ratios for the chance of reporting problems for each EQ-5D dimension were estimated by logistic regression. Results A total of 9,148 respondents were included in the study. Mean age was 37.80 ± 13.13 years, 47.4% were men and the majority was ranked as classes B or C (38.4% and 50.7%, respectively). Participants in lower SES classes reported increasingly poorer health compared to individuals in higher classes. The mean EQ-5D-3L index decreased as SES deteriorates being significantly higher for classes A and B (0.874 ± 0.14) compared to class C (0.842 ± 0.15) and classes D and E (0.804 ± 0.17) (p < 0.001). The same was observed for the mean EQ-VAS scores (84.0 ± 13.8 in classes A and B, 81.0 ± 17 in class C and 78.3 ± 18.7 in class C [p < 0.001]). The multivariate analysis confirmed that SES is an independent factor that effects EQ-5D-3L index measures. Participants in intermediate and lower SES classes have a statistically significant lower EQ-5D-3L index compared to participants in classes A and B, regardless of age, sex, and educational attainment. Conclusion In a Brazilian population sample, the EQ-5D-3L instrument was able to detect important differences between groups with distinct socioeconomic statuses (SES). The EQ-5D-3L is useful for exploring inequities in health.
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spelling doaj.art-efde808bd2c841fc8d4cbfe1f97303652024-03-05T20:26:13ZengBMCHealth and Quality of Life Outcomes1477-75252024-02-012211710.1186/s12955-024-02235-0Health inequity assessment in Brazil: is EQ-5D-3L sensible enough to detect differences among distinct socioeconomic groups?Bernardo Rangel Tura0Milene Rangel da Costa1Sylvia Lordello2Danillo Barros3Yuri Souza4Marisa da Silva Santos5Centre of Health Technology Assessment, National Institute of CardiologyCentre of Health Technology Assessment, National Institute of CardiologyInstituto DaraInstituto DaraInstituto DaraCentre of Health Technology Assessment, National Institute of CardiologyAbstract Background Multidimensional health-related quality of life (HRQOL) instruments, such as the EQ-5D, are increasingly used to assess inequalities in health. However, it is necessary to explore the ability of these instruments to capture differences between population groups, especially in low/middle-income countries. This study aimed to investigate whether the EQ-5D-3L instrument can detect differences in HRQOL between groups of different socioeconomic status (SES) in Brazil. Methods Data collection occurred during the Brazilian EQ-5D-3L valuation study and included respondents aged 18 to 64 years enrolled in urban areas. SES was aggregated into three categories: “higher” (A and B), “intermediate” (C) and “lower” (D and E). EQ-5D-3L index was calculated considering the Brazilian value set. A mixed-effects regression model was estimated with random effects on individuals and marginal effects on SES, sex, and educational attainment. Odds ratios for the chance of reporting problems for each EQ-5D dimension were estimated by logistic regression. Results A total of 9,148 respondents were included in the study. Mean age was 37.80 ± 13.13 years, 47.4% were men and the majority was ranked as classes B or C (38.4% and 50.7%, respectively). Participants in lower SES classes reported increasingly poorer health compared to individuals in higher classes. The mean EQ-5D-3L index decreased as SES deteriorates being significantly higher for classes A and B (0.874 ± 0.14) compared to class C (0.842 ± 0.15) and classes D and E (0.804 ± 0.17) (p < 0.001). The same was observed for the mean EQ-VAS scores (84.0 ± 13.8 in classes A and B, 81.0 ± 17 in class C and 78.3 ± 18.7 in class C [p < 0.001]). The multivariate analysis confirmed that SES is an independent factor that effects EQ-5D-3L index measures. Participants in intermediate and lower SES classes have a statistically significant lower EQ-5D-3L index compared to participants in classes A and B, regardless of age, sex, and educational attainment. Conclusion In a Brazilian population sample, the EQ-5D-3L instrument was able to detect important differences between groups with distinct socioeconomic statuses (SES). The EQ-5D-3L is useful for exploring inequities in health.https://doi.org/10.1186/s12955-024-02235-0EQ-5D-3LEuroQolHealth-related quality of lifeSelf-reported healthHealth inequityEquity
spellingShingle Bernardo Rangel Tura
Milene Rangel da Costa
Sylvia Lordello
Danillo Barros
Yuri Souza
Marisa da Silva Santos
Health inequity assessment in Brazil: is EQ-5D-3L sensible enough to detect differences among distinct socioeconomic groups?
Health and Quality of Life Outcomes
EQ-5D-3L
EuroQol
Health-related quality of life
Self-reported health
Health inequity
Equity
title Health inequity assessment in Brazil: is EQ-5D-3L sensible enough to detect differences among distinct socioeconomic groups?
title_full Health inequity assessment in Brazil: is EQ-5D-3L sensible enough to detect differences among distinct socioeconomic groups?
title_fullStr Health inequity assessment in Brazil: is EQ-5D-3L sensible enough to detect differences among distinct socioeconomic groups?
title_full_unstemmed Health inequity assessment in Brazil: is EQ-5D-3L sensible enough to detect differences among distinct socioeconomic groups?
title_short Health inequity assessment in Brazil: is EQ-5D-3L sensible enough to detect differences among distinct socioeconomic groups?
title_sort health inequity assessment in brazil is eq 5d 3l sensible enough to detect differences among distinct socioeconomic groups
topic EQ-5D-3L
EuroQol
Health-related quality of life
Self-reported health
Health inequity
Equity
url https://doi.org/10.1186/s12955-024-02235-0
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