Optimizing payments based on efficiency, quality, complexity, and heterogeneity: the case of hospital funding
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.5/28808 |
Resumo: | In several countries around the world, public hospitals are paid for by the health care services they provide to the population. Different funding systems are available, such as the Beveridge Model. Furthermore, payments can be either prospective, retrospective, or even a merging of both. Payments are usually nonoptimal in the Pareto sense and disregard the quality of delivered services as well as the environment (either internal or external) in which hospitals operate. This gap may introduce inefficiencies and inequities in the health care system, which currently faces scenarios of reduction/scarcity of resources. Furthermore, there are problems related to overpaying and misallocation of resources. Hence, payments should be optimized to guarantee an efficient allocation of resources to the health care systems. This study proposes a new best practice based tool, applying it to the Portuguese National Health Service. Considerable cost savings may emerge for inefficient hospitals if the model is successfully employed. |
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Optimizing payments based on efficiency, quality, complexity, and heterogeneity: the case of hospital fundingHospital funding; best practices; efficiency; quality; heterogeneityIn several countries around the world, public hospitals are paid for by the health care services they provide to the population. Different funding systems are available, such as the Beveridge Model. Furthermore, payments can be either prospective, retrospective, or even a merging of both. Payments are usually nonoptimal in the Pareto sense and disregard the quality of delivered services as well as the environment (either internal or external) in which hospitals operate. This gap may introduce inefficiencies and inequities in the health care system, which currently faces scenarios of reduction/scarcity of resources. Furthermore, there are problems related to overpaying and misallocation of resources. Hence, payments should be optimized to guarantee an efficient allocation of resources to the health care systems. This study proposes a new best practice based tool, applying it to the Portuguese National Health Service. Considerable cost savings may emerge for inefficient hospitals if the model is successfully employed.Repositório da Universidade de LisboaFerreira, DiogoNunes, Alexandre M.Marques, Rui C.2023-10-03T10:14:39Z2019-09-022019-09-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/28808engFerreira, D.C., Nunes, A.M. and Marques, R.C. (2020), Optimizing payments based on efficiency, quality, complexity, and heterogeneity: the case of hospital funding. Intl. Trans. in Op. Res., 27: 1930-1961. https://doi.org/10.1111/itor.1271310.1111/itor.12713info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-10-08T01:31:40Zoai:www.repository.utl.pt:10400.5/28808Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:33:53.030859Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Optimizing payments based on efficiency, quality, complexity, and heterogeneity: the case of hospital funding |
title |
Optimizing payments based on efficiency, quality, complexity, and heterogeneity: the case of hospital funding |
spellingShingle |
Optimizing payments based on efficiency, quality, complexity, and heterogeneity: the case of hospital funding Ferreira, Diogo Hospital funding; best practices; efficiency; quality; heterogeneity |
title_short |
Optimizing payments based on efficiency, quality, complexity, and heterogeneity: the case of hospital funding |
title_full |
Optimizing payments based on efficiency, quality, complexity, and heterogeneity: the case of hospital funding |
title_fullStr |
Optimizing payments based on efficiency, quality, complexity, and heterogeneity: the case of hospital funding |
title_full_unstemmed |
Optimizing payments based on efficiency, quality, complexity, and heterogeneity: the case of hospital funding |
title_sort |
Optimizing payments based on efficiency, quality, complexity, and heterogeneity: the case of hospital funding |
author |
Ferreira, Diogo |
author_facet |
Ferreira, Diogo Nunes, Alexandre M. Marques, Rui C. |
author_role |
author |
author2 |
Nunes, Alexandre M. Marques, Rui C. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Ferreira, Diogo Nunes, Alexandre M. Marques, Rui C. |
dc.subject.por.fl_str_mv |
Hospital funding; best practices; efficiency; quality; heterogeneity |
topic |
Hospital funding; best practices; efficiency; quality; heterogeneity |
description |
In several countries around the world, public hospitals are paid for by the health care services they provide to the population. Different funding systems are available, such as the Beveridge Model. Furthermore, payments can be either prospective, retrospective, or even a merging of both. Payments are usually nonoptimal in the Pareto sense and disregard the quality of delivered services as well as the environment (either internal or external) in which hospitals operate. This gap may introduce inefficiencies and inequities in the health care system, which currently faces scenarios of reduction/scarcity of resources. Furthermore, there are problems related to overpaying and misallocation of resources. Hence, payments should be optimized to guarantee an efficient allocation of resources to the health care systems. This study proposes a new best practice based tool, applying it to the Portuguese National Health Service. Considerable cost savings may emerge for inefficient hospitals if the model is successfully employed. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-09-02 2019-09-02T00:00:00Z 2023-10-03T10:14:39Z |
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 |
http://hdl.handle.net/10400.5/28808 |
url |
http://hdl.handle.net/10400.5/28808 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Ferreira, D.C., Nunes, A.M. and Marques, R.C. (2020), Optimizing payments based on efficiency, quality, complexity, and heterogeneity: the case of hospital funding. Intl. Trans. in Op. Res., 27: 1930-1961. https://doi.org/10.1111/itor.12713 10.1111/itor.12713 |
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.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799133604384604160 |