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The financial impact of neonatal sepsis on the Brazilian Unified Health System
OBJECTIVE: To evaluate the hospital cost of newborn infants diagnosed with sepsis from the perspective of the Brazilian Public Health System over 11 years. METHOD: Cross-sectional study that analyzed secondary data from the databases of the Hospital Information System of the Brazilian Public Health...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472220/ https://www.ncbi.nlm.nih.gov/pubmed/37647843 http://dx.doi.org/10.1016/j.clinsp.2023.100277 |
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author | de Abreu, Mariana Ferreira Carvalho Westerstahl Ogata, Joice Fabíola Meneguel Fonseca, Marcelo Cunio Machado Sansone, Dayan Guinsburg, Ruth |
author_facet | de Abreu, Mariana Ferreira Carvalho Westerstahl Ogata, Joice Fabíola Meneguel Fonseca, Marcelo Cunio Machado Sansone, Dayan Guinsburg, Ruth |
author_sort | de Abreu, Mariana Ferreira Carvalho Westerstahl |
collection | PubMed |
description | OBJECTIVE: To evaluate the hospital cost of newborn infants diagnosed with sepsis from the perspective of the Brazilian Public Health System over 11 years. METHOD: Cross-sectional study that analyzed secondary data from the databases of the Hospital Information System of the Brazilian Public Health System. Infants hospitalized between 0‒29 days after birth with a diagnosis of sepsis from 2008 to 2018 were included. The diagnosis used in the study was the one that the hospital considered the main diagnosis at admission. Costs were analyzed in US dollars and reflected the amount paid by the Brazilian Public Health System to the hospitals for the informed diagnosis upon admission. The costs were evaluated as the total per admission, and they were compared among Brazilian geographic regions, among etiologic agents, and between neonates with the diagnosis of sepsis that survived or died. RESULTS: From 2008 to 2018, 47,554 newborns were hospitalized with sepsis (148.04 cases per 100,000 live births), with an average cost of US$ 3345.59 per hospitalization, ranging from US$ 2970.60 in the North region to US$ 4305.03 in the Midwest. Among sepsis with identified agents, the highest mean cost was related to Gram-negative agents, and the lowest to Streptococcus agalactiae sepsis. Patients with sepsis who died had a higher cost than the survivors (t-test; p = 0.046). CONCLUSIONS: The evaluation of costs related to neonatal sepsis in the country during an 11-year period shows the economic impact of morbidity that may be avoided by improving the quality of neonatal care. |
format | Online Article Text |
id | pubmed-10472220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo |
record_format | MEDLINE/PubMed |
spelling | pubmed-104722202023-09-02 The financial impact of neonatal sepsis on the Brazilian Unified Health System de Abreu, Mariana Ferreira Carvalho Westerstahl Ogata, Joice Fabíola Meneguel Fonseca, Marcelo Cunio Machado Sansone, Dayan Guinsburg, Ruth Clinics (Sao Paulo) Original Articles OBJECTIVE: To evaluate the hospital cost of newborn infants diagnosed with sepsis from the perspective of the Brazilian Public Health System over 11 years. METHOD: Cross-sectional study that analyzed secondary data from the databases of the Hospital Information System of the Brazilian Public Health System. Infants hospitalized between 0‒29 days after birth with a diagnosis of sepsis from 2008 to 2018 were included. The diagnosis used in the study was the one that the hospital considered the main diagnosis at admission. Costs were analyzed in US dollars and reflected the amount paid by the Brazilian Public Health System to the hospitals for the informed diagnosis upon admission. The costs were evaluated as the total per admission, and they were compared among Brazilian geographic regions, among etiologic agents, and between neonates with the diagnosis of sepsis that survived or died. RESULTS: From 2008 to 2018, 47,554 newborns were hospitalized with sepsis (148.04 cases per 100,000 live births), with an average cost of US$ 3345.59 per hospitalization, ranging from US$ 2970.60 in the North region to US$ 4305.03 in the Midwest. Among sepsis with identified agents, the highest mean cost was related to Gram-negative agents, and the lowest to Streptococcus agalactiae sepsis. Patients with sepsis who died had a higher cost than the survivors (t-test; p = 0.046). CONCLUSIONS: The evaluation of costs related to neonatal sepsis in the country during an 11-year period shows the economic impact of morbidity that may be avoided by improving the quality of neonatal care. Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo 2023-08-28 /pmc/articles/PMC10472220/ /pubmed/37647843 http://dx.doi.org/10.1016/j.clinsp.2023.100277 Text en © 2023 HCFMUSP. Published by Elsevier España, S.L.U. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Original Articles de Abreu, Mariana Ferreira Carvalho Westerstahl Ogata, Joice Fabíola Meneguel Fonseca, Marcelo Cunio Machado Sansone, Dayan Guinsburg, Ruth The financial impact of neonatal sepsis on the Brazilian Unified Health System |
title | The financial impact of neonatal sepsis on the Brazilian Unified Health System |
title_full | The financial impact of neonatal sepsis on the Brazilian Unified Health System |
title_fullStr | The financial impact of neonatal sepsis on the Brazilian Unified Health System |
title_full_unstemmed | The financial impact of neonatal sepsis on the Brazilian Unified Health System |
title_short | The financial impact of neonatal sepsis on the Brazilian Unified Health System |
title_sort | financial impact of neonatal sepsis on the brazilian unified health system |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472220/ https://www.ncbi.nlm.nih.gov/pubmed/37647843 http://dx.doi.org/10.1016/j.clinsp.2023.100277 |
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