Estimation of health-related quality of life losses owing to a technological disaster in Brazil using EQ-5D-3L: a cross-sectional study
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFMG |
Texto Completo: | https://doi.org/10.1016/j.vhri.2021.02.003 http://hdl.handle.net/1843/54131 https://orcid.org/0000-0003-1390-7798 https://orcid.org/0000-0003-2377-1652 https://orcid.org/0000-0002-7174-6710 https://orcid.org/0000-0002-2856-7100 https://orcid.org/0000-0001-8860-9643 https://orcid.org/0000-0001-8231-238X https://orcid.org/0000-0002-2728-3309 https://orcid.org/0000-0002-0100-3698 |
Resumo: | Objectives: In 2015, a dam collapsed at Samarco iron ore mine in the municipality of Mariana, Brazil, and contaminated more than 600 km of watercourses and destroyed almost 1600 acres of vegetation. Nineteen people died and more than 600 families lost their homes. This study aimed to estimate health-related quality of life (HRQoL) losses owing to this disaster. Methods: We collected data from a probabilistic sample of 459 individuals aged 15 years or older. Household face-to-face interviews were conducted in December 2018. Pre-event data were not available for this population, so respondents were asked to evaluate at present and in retrospect their health status using EQ-5D-3L. The Minas Gerais societal value sets for EQ-5D-3L health preferences, estimated in 2011, were used to calculate utility losses. The health loss estimation from EQ-5D will form the basis for the calculation of compensation payments for the victims. Results: Approximately 74% of the study population suffered some HRQoL loss. On average, EQ-5D index values decreased from 0.95 to 0.76. The greatest effects were observed for the anxiety/depression dimension, followed by pain/discomfort. Before the tragedy, the proportion of individuals with severe anxiety/depression and pain/discomfort was equal to 1% rising to 23% and 11%, respectively. Conclusions: Catastrophic losses owing to the Samarco disaster were found. The EQ-5D-3L instrument showed feasibility and sensitiveness to measure HRQoL losses owing to a negative health shock in a low-income Brazilian population. |
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Estimation of health-related quality of life losses owing to a technological disaster in Brazil using EQ-5D-3L: a cross-sectional studyCompensation and redressDisaster victimsDisastersObservational studyQuality of lifeDesastresVítimas de desastresQualidade de vidaObjectives: In 2015, a dam collapsed at Samarco iron ore mine in the municipality of Mariana, Brazil, and contaminated more than 600 km of watercourses and destroyed almost 1600 acres of vegetation. Nineteen people died and more than 600 families lost their homes. This study aimed to estimate health-related quality of life (HRQoL) losses owing to this disaster. Methods: We collected data from a probabilistic sample of 459 individuals aged 15 years or older. Household face-to-face interviews were conducted in December 2018. Pre-event data were not available for this population, so respondents were asked to evaluate at present and in retrospect their health status using EQ-5D-3L. The Minas Gerais societal value sets for EQ-5D-3L health preferences, estimated in 2011, were used to calculate utility losses. The health loss estimation from EQ-5D will form the basis for the calculation of compensation payments for the victims. Results: Approximately 74% of the study population suffered some HRQoL loss. On average, EQ-5D index values decreased from 0.95 to 0.76. The greatest effects were observed for the anxiety/depression dimension, followed by pain/discomfort. Before the tragedy, the proportion of individuals with severe anxiety/depression and pain/discomfort was equal to 1% rising to 23% and 11%, respectively. Conclusions: Catastrophic losses owing to the Samarco disaster were found. The EQ-5D-3L instrument showed feasibility and sensitiveness to measure HRQoL losses owing to a negative health shock in a low-income Brazilian population.Universidade Federal de Minas GeraisBrasilFCE - DEPARTAMENTO DE CIÊNCIAS ECONÔMICASFCE - DEPARTAMENTO DE DEMOGRAFIAICX - DEPARTAMENTO DE ESTATÍSTICAUFMG2023-05-29T20:27:00Z2023-05-29T20:27:00Z2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.1016/j.vhri.2021.02.0032212-1099http://hdl.handle.net/1843/54131https://orcid.org/0000-0003-1390-7798https://orcid.org/0000-0003-2377-1652https://orcid.org/0000-0002-7174-6710https://orcid.org/0000-0002-2856-7100https://orcid.org/0000-0001-8860-9643https://orcid.org/0000-0001-8231-238Xhttps://orcid.org/0000-0002-2728-3309https://orcid.org/0000-0002-0100-3698porValue in Health Regional IssuesMônica ViegasandradePaul KindKenya Valéria Micaela de Souza NoronhaAndré Soares SantosAline de SouzaGilvan Ramalho GuedesBernardo CampolinaAnderson CavalcanteAline Souza MagalhãesDenise Duarte Scarpa Magalhaes Alvesinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMG2023-05-29T20:27:00Zoai:repositorio.ufmg.br:1843/54131Repositório InstitucionalPUBhttps://repositorio.ufmg.br/oairepositorio@ufmg.bropendoar:2023-05-29T20:27Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.none.fl_str_mv |
Estimation of health-related quality of life losses owing to a technological disaster in Brazil using EQ-5D-3L: a cross-sectional study |
title |
Estimation of health-related quality of life losses owing to a technological disaster in Brazil using EQ-5D-3L: a cross-sectional study |
spellingShingle |
Estimation of health-related quality of life losses owing to a technological disaster in Brazil using EQ-5D-3L: a cross-sectional study Mônica Viegasandrade Compensation and redress Disaster victims Disasters Observational study Quality of life Desastres Vítimas de desastres Qualidade de vida |
title_short |
Estimation of health-related quality of life losses owing to a technological disaster in Brazil using EQ-5D-3L: a cross-sectional study |
title_full |
Estimation of health-related quality of life losses owing to a technological disaster in Brazil using EQ-5D-3L: a cross-sectional study |
title_fullStr |
Estimation of health-related quality of life losses owing to a technological disaster in Brazil using EQ-5D-3L: a cross-sectional study |
title_full_unstemmed |
Estimation of health-related quality of life losses owing to a technological disaster in Brazil using EQ-5D-3L: a cross-sectional study |
title_sort |
Estimation of health-related quality of life losses owing to a technological disaster in Brazil using EQ-5D-3L: a cross-sectional study |
author |
Mônica Viegasandrade |
author_facet |
Mônica Viegasandrade Paul Kind Kenya Valéria Micaela de Souza Noronha André Soares Santos Aline de Souza Gilvan Ramalho Guedes Bernardo Campolina Anderson Cavalcante Aline Souza Magalhães Denise Duarte Scarpa Magalhaes Alves |
author_role |
author |
author2 |
Paul Kind Kenya Valéria Micaela de Souza Noronha André Soares Santos Aline de Souza Gilvan Ramalho Guedes Bernardo Campolina Anderson Cavalcante Aline Souza Magalhães Denise Duarte Scarpa Magalhaes Alves |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Mônica Viegasandrade Paul Kind Kenya Valéria Micaela de Souza Noronha André Soares Santos Aline de Souza Gilvan Ramalho Guedes Bernardo Campolina Anderson Cavalcante Aline Souza Magalhães Denise Duarte Scarpa Magalhaes Alves |
dc.subject.por.fl_str_mv |
Compensation and redress Disaster victims Disasters Observational study Quality of life Desastres Vítimas de desastres Qualidade de vida |
topic |
Compensation and redress Disaster victims Disasters Observational study Quality of life Desastres Vítimas de desastres Qualidade de vida |
description |
Objectives: In 2015, a dam collapsed at Samarco iron ore mine in the municipality of Mariana, Brazil, and contaminated more than 600 km of watercourses and destroyed almost 1600 acres of vegetation. Nineteen people died and more than 600 families lost their homes. This study aimed to estimate health-related quality of life (HRQoL) losses owing to this disaster. Methods: We collected data from a probabilistic sample of 459 individuals aged 15 years or older. Household face-to-face interviews were conducted in December 2018. Pre-event data were not available for this population, so respondents were asked to evaluate at present and in retrospect their health status using EQ-5D-3L. The Minas Gerais societal value sets for EQ-5D-3L health preferences, estimated in 2011, were used to calculate utility losses. The health loss estimation from EQ-5D will form the basis for the calculation of compensation payments for the victims. Results: Approximately 74% of the study population suffered some HRQoL loss. On average, EQ-5D index values decreased from 0.95 to 0.76. The greatest effects were observed for the anxiety/depression dimension, followed by pain/discomfort. Before the tragedy, the proportion of individuals with severe anxiety/depression and pain/discomfort was equal to 1% rising to 23% and 11%, respectively. Conclusions: Catastrophic losses owing to the Samarco disaster were found. The EQ-5D-3L instrument showed feasibility and sensitiveness to measure HRQoL losses owing to a negative health shock in a low-income Brazilian population. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2023-05-29T20:27:00Z 2023-05-29T20:27:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.1016/j.vhri.2021.02.003 2212-1099 http://hdl.handle.net/1843/54131 https://orcid.org/0000-0003-1390-7798 https://orcid.org/0000-0003-2377-1652 https://orcid.org/0000-0002-7174-6710 https://orcid.org/0000-0002-2856-7100 https://orcid.org/0000-0001-8860-9643 https://orcid.org/0000-0001-8231-238X https://orcid.org/0000-0002-2728-3309 https://orcid.org/0000-0002-0100-3698 |
url |
https://doi.org/10.1016/j.vhri.2021.02.003 http://hdl.handle.net/1843/54131 https://orcid.org/0000-0003-1390-7798 https://orcid.org/0000-0003-2377-1652 https://orcid.org/0000-0002-7174-6710 https://orcid.org/0000-0002-2856-7100 https://orcid.org/0000-0001-8860-9643 https://orcid.org/0000-0001-8231-238X https://orcid.org/0000-0002-2728-3309 https://orcid.org/0000-0002-0100-3698 |
identifier_str_mv |
2212-1099 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Value in Health Regional Issues |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais Brasil FCE - DEPARTAMENTO DE CIÊNCIAS ECONÔMICAS FCE - DEPARTAMENTO DE DEMOGRAFIA ICX - DEPARTAMENTO DE ESTATÍSTICA UFMG |
publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais Brasil FCE - DEPARTAMENTO DE CIÊNCIAS ECONÔMICAS FCE - DEPARTAMENTO DE DEMOGRAFIA ICX - DEPARTAMENTO DE ESTATÍSTICA UFMG |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFMG instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
instname_str |
Universidade Federal de Minas Gerais (UFMG) |
instacron_str |
UFMG |
institution |
UFMG |
reponame_str |
Repositório Institucional da UFMG |
collection |
Repositório Institucional da UFMG |
repository.name.fl_str_mv |
Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG) |
repository.mail.fl_str_mv |
repositorio@ufmg.br |
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1816829699374972928 |