Effect of the Melhor em Casa program on hospital costs

Detalhes bibliográficos
Autor(a) principal: Nishimura,Fábio
Data de Publicação: 2019
Outros Autores: Carrara,Aniela Fagundes, Freitas,Carlos Eduardo de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Saúde Pública
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102019000100292
Resumo: ABSTRACT OBJECTIVE To verify if the Melhor em Casa program can actually reduce hospitalization costs. METHODS We use as an empirical strategy a Regression Discontinuity Design, which reduces endogeneity problems of our model. We also performed tests of heterogeneous responses and robustness. Data on the dependent variable, namely hospitalization costs, were collected in the Department of Informatics of the Unified Health System (DATASUS), using the microdata set from the Hospital Admissions System of the Unified Health System (SUS) from 2010 to 2013, totaling 3,609,384 observations. The covariates or control variables used were age and costs with patients in the intensive care unit, also from DATASUS. RESULTS The results point out that the Melhor em Casa program effectively reduced hospitalization costs by approximately 4.7% in 2011, 5.8% in 2012 and 10.2% in 2013. CONCLUSIONS Based on the analyses, we observed that maintaining the program can effectively improve the management of public resources, since it reduced the hospitalization costs in the three years studied. The program reduced hospitalization costs of risk groups and also in situations that usually increase hospital costs such as lack of equipment and elective hospitalizations. Thus, it can be affirmed that the program can reduce hospitalization costs, especially in risk and more vulnerable groups, showing efficiency as a public policy.
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spelling Effect of the Melhor em Casa program on hospital costsHome Care ServicesEconomicsHealth Care CostsProgram EvaluationUnified Health SystemABSTRACT OBJECTIVE To verify if the Melhor em Casa program can actually reduce hospitalization costs. METHODS We use as an empirical strategy a Regression Discontinuity Design, which reduces endogeneity problems of our model. We also performed tests of heterogeneous responses and robustness. Data on the dependent variable, namely hospitalization costs, were collected in the Department of Informatics of the Unified Health System (DATASUS), using the microdata set from the Hospital Admissions System of the Unified Health System (SUS) from 2010 to 2013, totaling 3,609,384 observations. The covariates or control variables used were age and costs with patients in the intensive care unit, also from DATASUS. RESULTS The results point out that the Melhor em Casa program effectively reduced hospitalization costs by approximately 4.7% in 2011, 5.8% in 2012 and 10.2% in 2013. CONCLUSIONS Based on the analyses, we observed that maintaining the program can effectively improve the management of public resources, since it reduced the hospitalization costs in the three years studied. The program reduced hospitalization costs of risk groups and also in situations that usually increase hospital costs such as lack of equipment and elective hospitalizations. Thus, it can be affirmed that the program can reduce hospitalization costs, especially in risk and more vulnerable groups, showing efficiency as a public policy.Faculdade de Saúde Pública da Universidade de São Paulo2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102019000100292Revista de Saúde Pública v.53 2019reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.11606/s1518-8787.2019053000859info:eu-repo/semantics/openAccessNishimura,FábioCarrara,Aniela FagundesFreitas,Carlos Eduardo deeng2019-11-27T00:00:00Zoai:scielo:S0034-89102019000100292Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0034-8910&lng=pt&nrm=isoONGhttps://old.scielo.br/oai/scielo-oai.phprevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2019-11-27T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Effect of the Melhor em Casa program on hospital costs
title Effect of the Melhor em Casa program on hospital costs
spellingShingle Effect of the Melhor em Casa program on hospital costs
Nishimura,Fábio
Home Care Services
Economics
Health Care Costs
Program Evaluation
Unified Health System
title_short Effect of the Melhor em Casa program on hospital costs
title_full Effect of the Melhor em Casa program on hospital costs
title_fullStr Effect of the Melhor em Casa program on hospital costs
title_full_unstemmed Effect of the Melhor em Casa program on hospital costs
title_sort Effect of the Melhor em Casa program on hospital costs
author Nishimura,Fábio
author_facet Nishimura,Fábio
Carrara,Aniela Fagundes
Freitas,Carlos Eduardo de
author_role author
author2 Carrara,Aniela Fagundes
Freitas,Carlos Eduardo de
author2_role author
author
dc.contributor.author.fl_str_mv Nishimura,Fábio
Carrara,Aniela Fagundes
Freitas,Carlos Eduardo de
dc.subject.por.fl_str_mv Home Care Services
Economics
Health Care Costs
Program Evaluation
Unified Health System
topic Home Care Services
Economics
Health Care Costs
Program Evaluation
Unified Health System
description ABSTRACT OBJECTIVE To verify if the Melhor em Casa program can actually reduce hospitalization costs. METHODS We use as an empirical strategy a Regression Discontinuity Design, which reduces endogeneity problems of our model. We also performed tests of heterogeneous responses and robustness. Data on the dependent variable, namely hospitalization costs, were collected in the Department of Informatics of the Unified Health System (DATASUS), using the microdata set from the Hospital Admissions System of the Unified Health System (SUS) from 2010 to 2013, totaling 3,609,384 observations. The covariates or control variables used were age and costs with patients in the intensive care unit, also from DATASUS. RESULTS The results point out that the Melhor em Casa program effectively reduced hospitalization costs by approximately 4.7% in 2011, 5.8% in 2012 and 10.2% in 2013. CONCLUSIONS Based on the analyses, we observed that maintaining the program can effectively improve the management of public resources, since it reduced the hospitalization costs in the three years studied. The program reduced hospitalization costs of risk groups and also in situations that usually increase hospital costs such as lack of equipment and elective hospitalizations. Thus, it can be affirmed that the program can reduce hospitalization costs, especially in risk and more vulnerable groups, showing efficiency as a public policy.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102019000100292
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102019000100292
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.11606/s1518-8787.2019053000859
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
dc.source.none.fl_str_mv Revista de Saúde Pública v.53 2019
reponame:Revista de Saúde Pública
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Revista de Saúde Pública
collection Revista de Saúde Pública
repository.name.fl_str_mv Revista de Saúde Pública - Universidade de São Paulo (USP)
repository.mail.fl_str_mv revsp@org.usp.br||revsp1@usp.br
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