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Cost of Illness in Patients With COVID-19 Admitted in Three Brazilian Public Hospitals
OBJECTIVES: The severity and transmissibility of COVID-19 justifies the need to identify the factors associated with its cost of illness (CoI). This study aimed to identify CoI, cost predictors, and cost drivers in the management of patients with COVID-19 from hospital and Brazil’s Public Health Sys...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Society for Health Economics and Outcomes Research. Published by Elsevier Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069823/ https://www.ncbi.nlm.nih.gov/pubmed/37019065 http://dx.doi.org/10.1016/j.vhri.2023.02.004 |
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author | Oliveira, Layssa Andrade Lucchetta, Rosa Camila Mendes, Antônio Matoso Bonetti, Aline de Fátima Xavier, Cecilia Silva Sanches, Andréia Cristina Conegero Borba, Helena Hiemisch Lobo Oliota, Ana Flávia Redolfi Rossignoli, Paula Mastroianni, Patrícia de Carvalho Venson, Rafael Virtuoso, Suzane de Nadai, Tales Rubens Wiens, Astrid |
author_facet | Oliveira, Layssa Andrade Lucchetta, Rosa Camila Mendes, Antônio Matoso Bonetti, Aline de Fátima Xavier, Cecilia Silva Sanches, Andréia Cristina Conegero Borba, Helena Hiemisch Lobo Oliota, Ana Flávia Redolfi Rossignoli, Paula Mastroianni, Patrícia de Carvalho Venson, Rafael Virtuoso, Suzane de Nadai, Tales Rubens Wiens, Astrid |
author_sort | Oliveira, Layssa Andrade |
collection | PubMed |
description | OBJECTIVES: The severity and transmissibility of COVID-19 justifies the need to identify the factors associated with its cost of illness (CoI). This study aimed to identify CoI, cost predictors, and cost drivers in the management of patients with COVID-19 from hospital and Brazil’s Public Health System (SUS) perspectives. METHODS: This is a multicenter study that evaluated the CoI in patients diagnosed of COVID-19 who reached hospital discharge or died before being discharged between March and September 2020. Sociodemographic, clinical, and hospitalization data were collected to characterize and identify predictors of costs per patients and cost drivers per admission. RESULTS: A total of 1084 patients were included in the study. For hospital perspective, being overweight or obese, being between 65 and 74 years old, or being male showed an increased cost of 58.4%, 42.9%, and 42.5%, respectively. From SUS perspective, the same predictors of cost per patient increase were identified. The median cost per admission was estimated at US$359.78 and US$1385.80 for the SUS and hospital perspectives, respectively. In addition, patients who stayed between 1 and 4 days in the intensive care unit (ICU) had 60.9% higher costs than non-ICU patients; these costs significantly increased with the length of stay (LoS). The main cost driver was the ICU-LoS and COVID-19 ICU daily for hospital and SUS perspectives, respectively. CONCLUSIONS: The predictors of increased cost per patient at admission identified were overweight or obesity, advanced age, and male sex, and the main cost driver identified was the ICU-LoS. Time-driven activity-based costing studies, considering outpatient, inpatient, and long COVID-19, are needed to optimize our understanding about cost of COVID-19. |
format | Online Article Text |
id | pubmed-10069823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | International Society for Health Economics and Outcomes Research. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100698232023-04-04 Cost of Illness in Patients With COVID-19 Admitted in Three Brazilian Public Hospitals Oliveira, Layssa Andrade Lucchetta, Rosa Camila Mendes, Antônio Matoso Bonetti, Aline de Fátima Xavier, Cecilia Silva Sanches, Andréia Cristina Conegero Borba, Helena Hiemisch Lobo Oliota, Ana Flávia Redolfi Rossignoli, Paula Mastroianni, Patrícia de Carvalho Venson, Rafael Virtuoso, Suzane de Nadai, Tales Rubens Wiens, Astrid Value Health Reg Issues Economic Evaluation OBJECTIVES: The severity and transmissibility of COVID-19 justifies the need to identify the factors associated with its cost of illness (CoI). This study aimed to identify CoI, cost predictors, and cost drivers in the management of patients with COVID-19 from hospital and Brazil’s Public Health System (SUS) perspectives. METHODS: This is a multicenter study that evaluated the CoI in patients diagnosed of COVID-19 who reached hospital discharge or died before being discharged between March and September 2020. Sociodemographic, clinical, and hospitalization data were collected to characterize and identify predictors of costs per patients and cost drivers per admission. RESULTS: A total of 1084 patients were included in the study. For hospital perspective, being overweight or obese, being between 65 and 74 years old, or being male showed an increased cost of 58.4%, 42.9%, and 42.5%, respectively. From SUS perspective, the same predictors of cost per patient increase were identified. The median cost per admission was estimated at US$359.78 and US$1385.80 for the SUS and hospital perspectives, respectively. In addition, patients who stayed between 1 and 4 days in the intensive care unit (ICU) had 60.9% higher costs than non-ICU patients; these costs significantly increased with the length of stay (LoS). The main cost driver was the ICU-LoS and COVID-19 ICU daily for hospital and SUS perspectives, respectively. CONCLUSIONS: The predictors of increased cost per patient at admission identified were overweight or obesity, advanced age, and male sex, and the main cost driver identified was the ICU-LoS. Time-driven activity-based costing studies, considering outpatient, inpatient, and long COVID-19, are needed to optimize our understanding about cost of COVID-19. International Society for Health Economics and Outcomes Research. Published by Elsevier Inc. 2023-07 2023-04-03 /pmc/articles/PMC10069823/ /pubmed/37019065 http://dx.doi.org/10.1016/j.vhri.2023.02.004 Text en © 2023 International Society for Health Economics and Outcomes Research. Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Economic Evaluation Oliveira, Layssa Andrade Lucchetta, Rosa Camila Mendes, Antônio Matoso Bonetti, Aline de Fátima Xavier, Cecilia Silva Sanches, Andréia Cristina Conegero Borba, Helena Hiemisch Lobo Oliota, Ana Flávia Redolfi Rossignoli, Paula Mastroianni, Patrícia de Carvalho Venson, Rafael Virtuoso, Suzane de Nadai, Tales Rubens Wiens, Astrid Cost of Illness in Patients With COVID-19 Admitted in Three Brazilian Public Hospitals |
title | Cost of Illness in Patients With COVID-19 Admitted in Three Brazilian Public Hospitals |
title_full | Cost of Illness in Patients With COVID-19 Admitted in Three Brazilian Public Hospitals |
title_fullStr | Cost of Illness in Patients With COVID-19 Admitted in Three Brazilian Public Hospitals |
title_full_unstemmed | Cost of Illness in Patients With COVID-19 Admitted in Three Brazilian Public Hospitals |
title_short | Cost of Illness in Patients With COVID-19 Admitted in Three Brazilian Public Hospitals |
title_sort | cost of illness in patients with covid-19 admitted in three brazilian public hospitals |
topic | Economic Evaluation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069823/ https://www.ncbi.nlm.nih.gov/pubmed/37019065 http://dx.doi.org/10.1016/j.vhri.2023.02.004 |
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