Effect of the Melhor em Casa program on hospital costs
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
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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Revista de Saúde Pública |
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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 |
_version_ |
1748936505591595008 |