Planning in uncertainty : Variables to estimate direct medical costs of suspected or confirmed COVID-19 patients
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Gestão & Saúde (Brasília) |
Texto Completo: | https://periodicos.unb.br/index.php/rgs/article/view/32478 |
Resumo: | In March 2020 the World Health Organization declared a pandemic state for the new coronavirus. Traditional clinical and economic management planning states that the means and ends are known, focusing on the processes that address these conditions of certainty and hiding uncertainties. Therefore, to analyze health costs it is necessary to identify, quantify and value the resources used in health. Thus, the objectives of this study were: to describe the clinical management protocols of the suspected and confirmed patient for COVID-19, from the State of Rio Grande do Sul, from January 30 to May 20, 2020, and to identify variables for the calculation of direct medical costs in the care of these patients. This is a descriptive study. It was noticed how uncertain and dynamic are the characterizations of the suspected patient, the collection criteria and the type of test to be performed. From the categorization of direct medical costs, it is possible to create an instrument to estimate the costs, for the Unified Health System, of the patient with suspected or confirmed infection by COVID-19. |
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Planning in uncertainty : Variables to estimate direct medical costs of suspected or confirmed COVID-19 patientsPlanificacíon en la incertidumbre: Variables para estimar los costos médicos directos del paciente sospecho o confirmado para COVID-19Planejamento na incerteza: Variáveis para estimar custos médicos direitos de paciente suspeito ou confirmado para COVID-19Infecciones por Coronavirus; CostosDirectos de Servicios; Protocolos; PlanificaciónenSalud.Coronavirus Infections; Direct Service Costs; Protocols; Health Planning.In March 2020 the World Health Organization declared a pandemic state for the new coronavirus. Traditional clinical and economic management planning states that the means and ends are known, focusing on the processes that address these conditions of certainty and hiding uncertainties. Therefore, to analyze health costs it is necessary to identify, quantify and value the resources used in health. Thus, the objectives of this study were: to describe the clinical management protocols of the suspected and confirmed patient for COVID-19, from the State of Rio Grande do Sul, from January 30 to May 20, 2020, and to identify variables for the calculation of direct medical costs in the care of these patients. This is a descriptive study. It was noticed how uncertain and dynamic are the characterizations of the suspected patient, the collection criteria and the type of test to be performed. From the categorization of direct medical costs, it is possible to create an instrument to estimate the costs, for the Unified Health System, of the patient with suspected or confirmed infection by COVID-19.En marzo de 2020, la Organización Mundial de la Salud declaró un estado pandémico para el nuevo coronavirus. La planificación del manejo clínico y económico tradicional asume que los medios y fines son conocidos, enfocándose en los procesos que abordan estas condiciones de certeza y ocultan incertidumbres. Para analizar los costos en salud, es necesario identificar, cuantificar y valorar los recursos utilizados en salud. Así, los objetivos de este estudio fueron: describir los protocolos de manejo clínico de pacientes sospechosos y confirmados por COVID-19, en el Estado de Rio Grande do Sul, Brasil, del 30 de enero al 20 de mayo de 2020, e identificar variables para el cálculo de los costos médicos directos en la atención de estos pacientes. Se observó cuán inciertas y dinámicas son las caracterizaciones del paciente sospechoso, los criterios de recolección y el tipo de examen a realizar. A partir de la categorización de los costos médicos directos, es posible crear un instrumento para estimar los costos para el Sistema Único de Salud del paciente con sospecha o confirmación de infección por COVID-19.Em março de 2020, a Organização Mundial de Saúde decretou estado de pandemia pelo novo coronavírus. O planejamento tradicional de manejo clínico e econômico pressupõe que os meios e os fins sejam conhecidos, direcionando-se para os processos que abordam essas condições de certeza e ocultando as incertezas. Para analisar os custos em saúde é necessário identificar, quantificar e valorar os recursos empregados em saúde. Dessa forma, os objetivos deste estudo foram: descrever os protocolos de manejo clínico de pacientes suspeitos e confirmados para COVID-19 no Estado do Rio Grande do Sul, no período de 30 de janeiro a 20 de maio de 2020, e identificar variáveis para o cálculo dos custos médicos diretos no atendimento desses pacientes. Foi observado o quão incertas e dinâmicas são as caracterizações do paciente suspeito, do critério de coleta e do tipo de teste a ser realizado. A partir da categorização dos custos médicos diretos, é possível criar um instrumento para estimar os custos para o Sistema Único de Saúde do paciente com suspeita ou confirmado por infecção da COVID-19.Universidade de Brasilia2020-12-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.unb.br/index.php/rgs/article/view/3247810.26512/gs.v11i3.32478ELECTRONIC JOURNAL MANAGEMENT AND HEALTH; Vol. 11 No. 3 (2020): Setembro - Dezembro 2020; 234-247Revista Gestão & Saúde; v. 11 n. 3 (2020): Setembro - Dezembro 2020; 234-2471982-478510.26512/gs.v11i3reponame:Revista Gestão & Saúde (Brasília)instname:Universidade de Brasília (UnB)instacron:UNBporhttps://periodicos.unb.br/index.php/rgs/article/view/32478/28336Copyright (c) 2020 Revista Eletronica Gestão & Saúdehttps://creativecommons.org/licenses/by-nd/4.0info:eu-repo/semantics/openAccessSilva da Silva, Patrícia Garcia Daniel , Carinedos Santos Rosa, Roger Bordin , Ronaldo2020-12-22T16:16:11Zoai:ojs.pkp.sfu.ca:article/32478Revistahttp://periodicos.unb.br/index.php/rgs/index/PUBhttps://periodicos.unb.br/index.php/rgs/oaigestaoesaude@unb.br||1982-47851982-4785opendoar:2020-12-22T16:16:11Revista Gestão & Saúde (Brasília) - Universidade de Brasília (UnB)false |
dc.title.none.fl_str_mv |
Planning in uncertainty : Variables to estimate direct medical costs of suspected or confirmed COVID-19 patients Planificacíon en la incertidumbre: Variables para estimar los costos médicos directos del paciente sospecho o confirmado para COVID-19 Planejamento na incerteza: Variáveis para estimar custos médicos direitos de paciente suspeito ou confirmado para COVID-19 |
title |
Planning in uncertainty : Variables to estimate direct medical costs of suspected or confirmed COVID-19 patients |
spellingShingle |
Planning in uncertainty : Variables to estimate direct medical costs of suspected or confirmed COVID-19 patients Silva da Silva, Patrícia Infecciones por Coronavirus; CostosDirectos de Servicios; Protocolos; PlanificaciónenSalud. Coronavirus Infections; Direct Service Costs; Protocols; Health Planning. |
title_short |
Planning in uncertainty : Variables to estimate direct medical costs of suspected or confirmed COVID-19 patients |
title_full |
Planning in uncertainty : Variables to estimate direct medical costs of suspected or confirmed COVID-19 patients |
title_fullStr |
Planning in uncertainty : Variables to estimate direct medical costs of suspected or confirmed COVID-19 patients |
title_full_unstemmed |
Planning in uncertainty : Variables to estimate direct medical costs of suspected or confirmed COVID-19 patients |
title_sort |
Planning in uncertainty : Variables to estimate direct medical costs of suspected or confirmed COVID-19 patients |
author |
Silva da Silva, Patrícia |
author_facet |
Silva da Silva, Patrícia Garcia Daniel , Carine dos Santos Rosa, Roger Bordin , Ronaldo |
author_role |
author |
author2 |
Garcia Daniel , Carine dos Santos Rosa, Roger Bordin , Ronaldo |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Silva da Silva, Patrícia Garcia Daniel , Carine dos Santos Rosa, Roger Bordin , Ronaldo |
dc.subject.por.fl_str_mv |
Infecciones por Coronavirus; CostosDirectos de Servicios; Protocolos; PlanificaciónenSalud. Coronavirus Infections; Direct Service Costs; Protocols; Health Planning. |
topic |
Infecciones por Coronavirus; CostosDirectos de Servicios; Protocolos; PlanificaciónenSalud. Coronavirus Infections; Direct Service Costs; Protocols; Health Planning. |
description |
In March 2020 the World Health Organization declared a pandemic state for the new coronavirus. Traditional clinical and economic management planning states that the means and ends are known, focusing on the processes that address these conditions of certainty and hiding uncertainties. Therefore, to analyze health costs it is necessary to identify, quantify and value the resources used in health. Thus, the objectives of this study were: to describe the clinical management protocols of the suspected and confirmed patient for COVID-19, from the State of Rio Grande do Sul, from January 30 to May 20, 2020, and to identify variables for the calculation of direct medical costs in the care of these patients. This is a descriptive study. It was noticed how uncertain and dynamic are the characterizations of the suspected patient, the collection criteria and the type of test to be performed. From the categorization of direct medical costs, it is possible to create an instrument to estimate the costs, for the Unified Health System, of the patient with suspected or confirmed infection by COVID-19. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-21 |
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://periodicos.unb.br/index.php/rgs/article/view/32478 10.26512/gs.v11i3.32478 |
url |
https://periodicos.unb.br/index.php/rgs/article/view/32478 |
identifier_str_mv |
10.26512/gs.v11i3.32478 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.unb.br/index.php/rgs/article/view/32478/28336 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Revista Eletronica Gestão & Saúde https://creativecommons.org/licenses/by-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Revista Eletronica Gestão & Saúde https://creativecommons.org/licenses/by-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de Brasilia |
publisher.none.fl_str_mv |
Universidade de Brasilia |
dc.source.none.fl_str_mv |
ELECTRONIC JOURNAL MANAGEMENT AND HEALTH; Vol. 11 No. 3 (2020): Setembro - Dezembro 2020; 234-247 Revista Gestão & Saúde; v. 11 n. 3 (2020): Setembro - Dezembro 2020; 234-247 1982-4785 10.26512/gs.v11i3 reponame:Revista Gestão & Saúde (Brasília) instname:Universidade de Brasília (UnB) instacron:UNB |
instname_str |
Universidade de Brasília (UnB) |
instacron_str |
UNB |
institution |
UNB |
reponame_str |
Revista Gestão & Saúde (Brasília) |
collection |
Revista Gestão & Saúde (Brasília) |
repository.name.fl_str_mv |
Revista Gestão & Saúde (Brasília) - Universidade de Brasília (UnB) |
repository.mail.fl_str_mv |
gestaoesaude@unb.br|| |
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1797174681985351680 |