Economic Analysis of Severe TBI Treatment in Uganda
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Gestão e sociedade |
Texto Completo: | https://ges.face.ufmg.br/index.php/gestaoesociedade/article/view/2162 |
Resumo: | Introduction: Although the majority of the global burden of disease occurs in low- and middle-income countries, there is a paucity of data surveillance and analysis on the incidence of, morbidity and mortality associated with, and economic costs attributable to traumatic brain injury (TBI).Methods: A prognostic model was used to estimate outcomes of conservative and neurosurgical treatment for severe TBI based on data from a cohort of patients at the national referral hospital, Mulago Hospital, in Uganda during a 13-month study period. To evaluate the long-term impact of treatment for severe TBI, averted DALYs were calculated and converted to dollars using the human capital and the value of a statistical life (VSL) approaches. This cohort was then used as a representative sample for assessing the benefit of treating severe TBI for all of Uganda.Results: During the study period, 127 cases of severe TBI were treated averting 1,448 DALYs [0,0,0], 1,075 DALYs [3,1,0.04], or 974 DALYs [3,1,0.03]. Using the human capital approach, the economic benefit of intervention ranged from $1.3 million to $1.7 million. The VSL approach estimated an economic benefit of $282,902 to over $11 million. The health benefit of treating severe TBI for all Ugandans was estimated at between about 11,000 and 17,000 averted DALYs per year with an annual potential economic benefit of $15 to $20 million as determined with the human capital approach and $3.3 to $130 million with the VSL approach.Discussion: Treatment of severe TBI in Uganda has the potential to reduce a significant proportion of morbidity, mortality, and economic burden, which indicates the importance of treating severe TBI in developing countries. |
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Gestão e sociedade |
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Economic Analysis of Severe TBI Treatment in UgandaIntroduction: Although the majority of the global burden of disease occurs in low- and middle-income countries, there is a paucity of data surveillance and analysis on the incidence of, morbidity and mortality associated with, and economic costs attributable to traumatic brain injury (TBI).Methods: A prognostic model was used to estimate outcomes of conservative and neurosurgical treatment for severe TBI based on data from a cohort of patients at the national referral hospital, Mulago Hospital, in Uganda during a 13-month study period. To evaluate the long-term impact of treatment for severe TBI, averted DALYs were calculated and converted to dollars using the human capital and the value of a statistical life (VSL) approaches. This cohort was then used as a representative sample for assessing the benefit of treating severe TBI for all of Uganda.Results: During the study period, 127 cases of severe TBI were treated averting 1,448 DALYs [0,0,0], 1,075 DALYs [3,1,0.04], or 974 DALYs [3,1,0.03]. Using the human capital approach, the economic benefit of intervention ranged from $1.3 million to $1.7 million. The VSL approach estimated an economic benefit of $282,902 to over $11 million. The health benefit of treating severe TBI for all Ugandans was estimated at between about 11,000 and 17,000 averted DALYs per year with an annual potential economic benefit of $15 to $20 million as determined with the human capital approach and $3.3 to $130 million with the VSL approach.Discussion: Treatment of severe TBI in Uganda has the potential to reduce a significant proportion of morbidity, mortality, and economic burden, which indicates the importance of treating severe TBI in developing countries. CEPEAD/FACE - UFMG2016-12-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ges.face.ufmg.br/index.php/gestaoesociedade/article/view/216210.21171/ges.v11i28.2162Management & Society Electronic Journal; Vol. 11 No. 28 (2017): January/April 2017; 1637-1650Gestão e Sociedade; v. 11 n. 28 (2017): Janeiro/Abril de 2017; 1637-16501980-575610.21171/ges.v11i28reponame:Gestão e sociedadeinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGporhttps://ges.face.ufmg.br/index.php/gestaoesociedade/article/view/2162/1208Copyright (c) 2016 Gestão e Sociedadeinfo:eu-repo/semantics/openAccessHaglund, MichaelSimpsom, LaurenChang, JonathanFuller, Anthony2019-09-07T21:29:35Zoai:ojs.pkp.sfu.ca:article/2162Revistahttps://www.gestaoesociedade.org/gestaoesociedadePUBhttps://www.gestaoesociedade.org/gestaoesociedade/oaiges@face.ufmg.br||ricardo.ges.ufmg@gmail.com||1980-57561980-5756opendoar:2019-09-07T21:29:35Gestão e sociedade - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.none.fl_str_mv |
Economic Analysis of Severe TBI Treatment in Uganda |
title |
Economic Analysis of Severe TBI Treatment in Uganda |
spellingShingle |
Economic Analysis of Severe TBI Treatment in Uganda Haglund, Michael |
title_short |
Economic Analysis of Severe TBI Treatment in Uganda |
title_full |
Economic Analysis of Severe TBI Treatment in Uganda |
title_fullStr |
Economic Analysis of Severe TBI Treatment in Uganda |
title_full_unstemmed |
Economic Analysis of Severe TBI Treatment in Uganda |
title_sort |
Economic Analysis of Severe TBI Treatment in Uganda |
author |
Haglund, Michael |
author_facet |
Haglund, Michael Simpsom, Lauren Chang, Jonathan Fuller, Anthony |
author_role |
author |
author2 |
Simpsom, Lauren Chang, Jonathan Fuller, Anthony |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Haglund, Michael Simpsom, Lauren Chang, Jonathan Fuller, Anthony |
description |
Introduction: Although the majority of the global burden of disease occurs in low- and middle-income countries, there is a paucity of data surveillance and analysis on the incidence of, morbidity and mortality associated with, and economic costs attributable to traumatic brain injury (TBI).Methods: A prognostic model was used to estimate outcomes of conservative and neurosurgical treatment for severe TBI based on data from a cohort of patients at the national referral hospital, Mulago Hospital, in Uganda during a 13-month study period. To evaluate the long-term impact of treatment for severe TBI, averted DALYs were calculated and converted to dollars using the human capital and the value of a statistical life (VSL) approaches. This cohort was then used as a representative sample for assessing the benefit of treating severe TBI for all of Uganda.Results: During the study period, 127 cases of severe TBI were treated averting 1,448 DALYs [0,0,0], 1,075 DALYs [3,1,0.04], or 974 DALYs [3,1,0.03]. Using the human capital approach, the economic benefit of intervention ranged from $1.3 million to $1.7 million. The VSL approach estimated an economic benefit of $282,902 to over $11 million. The health benefit of treating severe TBI for all Ugandans was estimated at between about 11,000 and 17,000 averted DALYs per year with an annual potential economic benefit of $15 to $20 million as determined with the human capital approach and $3.3 to $130 million with the VSL approach.Discussion: Treatment of severe TBI in Uganda has the potential to reduce a significant proportion of morbidity, mortality, and economic burden, which indicates the importance of treating severe TBI in developing countries. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-12-28 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ges.face.ufmg.br/index.php/gestaoesociedade/article/view/2162 10.21171/ges.v11i28.2162 |
url |
https://ges.face.ufmg.br/index.php/gestaoesociedade/article/view/2162 |
identifier_str_mv |
10.21171/ges.v11i28.2162 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://ges.face.ufmg.br/index.php/gestaoesociedade/article/view/2162/1208 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 Gestão e Sociedade info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 Gestão e Sociedade |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
CEPEAD/FACE - UFMG |
publisher.none.fl_str_mv |
CEPEAD/FACE - UFMG |
dc.source.none.fl_str_mv |
Management & Society Electronic Journal; Vol. 11 No. 28 (2017): January/April 2017; 1637-1650 Gestão e Sociedade; v. 11 n. 28 (2017): Janeiro/Abril de 2017; 1637-1650 1980-5756 10.21171/ges.v11i28 reponame:Gestão e sociedade instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
instname_str |
Universidade Federal de Minas Gerais (UFMG) |
instacron_str |
UFMG |
institution |
UFMG |
reponame_str |
Gestão e sociedade |
collection |
Gestão e sociedade |
repository.name.fl_str_mv |
Gestão e sociedade - Universidade Federal de Minas Gerais (UFMG) |
repository.mail.fl_str_mv |
ges@face.ufmg.br||ricardo.ges.ufmg@gmail.com|| |
_version_ |
1797067419837005824 |