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Impact of ICU bed availability on ovarian cancer surgical hospitalization rates during the first wave of the coronavirus disease 2019 pandemic
OBJECTIVES: The coronavirus disease 2019 pandemic, which began in 2020, disrupted healthcare services. Reports of changes in surgical activities coincide with the outbreak period. We aimed to identify if changes could be determined in hospitalization rates of ovarian cancer patients from 2016 to 202...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Associação Médica Brasileira
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720775/ https://www.ncbi.nlm.nih.gov/pubmed/36449780 http://dx.doi.org/10.1590/1806-9282.20220904 |
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author | Moterani, Vinicius Cesar Moterani, Nino Jose Wilson Pimentel, Franklin Fernandes dos Reis, Francisco Jose Candido |
author_facet | Moterani, Vinicius Cesar Moterani, Nino Jose Wilson Pimentel, Franklin Fernandes dos Reis, Francisco Jose Candido |
author_sort | Moterani, Vinicius Cesar |
collection | PubMed |
description | OBJECTIVES: The coronavirus disease 2019 pandemic, which began in 2020, disrupted healthcare services. Reports of changes in surgical activities coincide with the outbreak period. We aimed to identify if changes could be determined in hospitalization rates of ovarian cancer patients from 2016 to 2020, comparing pre-pandemic and pandemic levels. METHODS: Aggregated data were obtained from the State of São Paulo Secretary of Health regarding ovarian cancer clinical and surgical hospitalization, both Coronavirus disease-specific ICU and infirmary bed occupation rates, average social distancing rates, coronavirus disease 2019 incidence, mortality, and lethality rates. We performed the joinpoint analysis to verify if there were changes regarding hospitalization rates during this period. We also calculated hospitalization rate ratios and tested if they were correlated with pandemic-related variables. RESULTS: Hospitalization rates in the state fell, coinciding with the pandemic. Surgical hospitalization rate ratios were inversely correlated with Coronavirus disease-specific ICU bed occupation rates during the third trimester of 2020, with a Pearson's correlation coefficient of −0.50 (95%CI −0.78 to −0.05, p=0.03). CONCLUSION: These results demonstrate the impact of the coronavirus disease 2019 pandemic on the treatment of conditions that compete for the same healthcare resources. |
format | Online Article Text |
id | pubmed-9720775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Associação Médica Brasileira |
record_format | MEDLINE/PubMed |
spelling | pubmed-97207752022-12-06 Impact of ICU bed availability on ovarian cancer surgical hospitalization rates during the first wave of the coronavirus disease 2019 pandemic Moterani, Vinicius Cesar Moterani, Nino Jose Wilson Pimentel, Franklin Fernandes dos Reis, Francisco Jose Candido Rev Assoc Med Bras (1992) Original Article OBJECTIVES: The coronavirus disease 2019 pandemic, which began in 2020, disrupted healthcare services. Reports of changes in surgical activities coincide with the outbreak period. We aimed to identify if changes could be determined in hospitalization rates of ovarian cancer patients from 2016 to 2020, comparing pre-pandemic and pandemic levels. METHODS: Aggregated data were obtained from the State of São Paulo Secretary of Health regarding ovarian cancer clinical and surgical hospitalization, both Coronavirus disease-specific ICU and infirmary bed occupation rates, average social distancing rates, coronavirus disease 2019 incidence, mortality, and lethality rates. We performed the joinpoint analysis to verify if there were changes regarding hospitalization rates during this period. We also calculated hospitalization rate ratios and tested if they were correlated with pandemic-related variables. RESULTS: Hospitalization rates in the state fell, coinciding with the pandemic. Surgical hospitalization rate ratios were inversely correlated with Coronavirus disease-specific ICU bed occupation rates during the third trimester of 2020, with a Pearson's correlation coefficient of −0.50 (95%CI −0.78 to −0.05, p=0.03). CONCLUSION: These results demonstrate the impact of the coronavirus disease 2019 pandemic on the treatment of conditions that compete for the same healthcare resources. Associação Médica Brasileira 2022-11-28 /pmc/articles/PMC9720775/ /pubmed/36449780 http://dx.doi.org/10.1590/1806-9282.20220904 Text en https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Moterani, Vinicius Cesar Moterani, Nino Jose Wilson Pimentel, Franklin Fernandes dos Reis, Francisco Jose Candido Impact of ICU bed availability on ovarian cancer surgical hospitalization rates during the first wave of the coronavirus disease 2019 pandemic |
title | Impact of ICU bed availability on ovarian cancer surgical hospitalization rates during the first wave of the coronavirus disease 2019 pandemic |
title_full | Impact of ICU bed availability on ovarian cancer surgical hospitalization rates during the first wave of the coronavirus disease 2019 pandemic |
title_fullStr | Impact of ICU bed availability on ovarian cancer surgical hospitalization rates during the first wave of the coronavirus disease 2019 pandemic |
title_full_unstemmed | Impact of ICU bed availability on ovarian cancer surgical hospitalization rates during the first wave of the coronavirus disease 2019 pandemic |
title_short | Impact of ICU bed availability on ovarian cancer surgical hospitalization rates during the first wave of the coronavirus disease 2019 pandemic |
title_sort | impact of icu bed availability on ovarian cancer surgical hospitalization rates during the first wave of the coronavirus disease 2019 pandemic |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720775/ https://www.ncbi.nlm.nih.gov/pubmed/36449780 http://dx.doi.org/10.1590/1806-9282.20220904 |
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