Big data evidence of the impact of COVID-19 hospitalizations on mortality rates of non-COVID-19 critically ill patients
Abstract The COVID-19 virus caused a global pandemic leading to a swift policy response. While this response was designed to prevent the spread of the virus and support those with COVID-19, there is growing evidence regarding measurable impacts on non-COVID-19 patients. The paper uses a large datase...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-08-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-40727-z |
_version_ | 1797453035807440896 |
---|---|
author | Bruno Wichmann Roberta Moreira Wichmann |
author_facet | Bruno Wichmann Roberta Moreira Wichmann |
author_sort | Bruno Wichmann |
collection | DOAJ |
description | Abstract The COVID-19 virus caused a global pandemic leading to a swift policy response. While this response was designed to prevent the spread of the virus and support those with COVID-19, there is growing evidence regarding measurable impacts on non-COVID-19 patients. The paper uses a large dataset from administrative records of the Brazilian public health system (SUS) to estimate pandemic spillover effects in critically ill health care delivery, i.e. the additional mortality risk that COVID-19 ICU hospitalizations generate on non-COVID-19 patients receiving intensive care. The data contain the universe of ICU hospitalizations in SUS from February 26, 2020 to December 31, 2021. Spillover estimates are obtained from high-dimensional fixed effects regression models that control for a number of unobservable confounders. Our findings indicate that, on average, the pandemic increased the mortality risk of non-COVID-19 ICU patients by 1.296 percentage points, 95% CI 1.145–1.448. The spillover mortality risk is larger for non-COVID patients receiving intensive care due to diseases of the respiratory system, diseases of the skin and subcutaneous tissue, and infectious and parasitic diseases. As of July 2023, the WHO reports more than 6.9 million global deaths due to COVID-19 infection. However, our estimates of spillover effects suggest that the pandemic’s total death toll is much higher. |
first_indexed | 2024-03-09T15:17:10Z |
format | Article |
id | doaj.art-ff90169b0f7e4bac9673f711eece405a |
institution | Directory Open Access Journal |
issn | 2045-2322 |
language | English |
last_indexed | 2024-03-09T15:17:10Z |
publishDate | 2023-08-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Scientific Reports |
spelling | doaj.art-ff90169b0f7e4bac9673f711eece405a2023-11-26T13:02:15ZengNature PortfolioScientific Reports2045-23222023-08-011311910.1038/s41598-023-40727-zBig data evidence of the impact of COVID-19 hospitalizations on mortality rates of non-COVID-19 critically ill patientsBruno Wichmann0Roberta Moreira Wichmann1Department of Resource Economics & Environmental Sociology, College of Natural and Applied Sciences, University of AlbertaWorld BankAbstract The COVID-19 virus caused a global pandemic leading to a swift policy response. While this response was designed to prevent the spread of the virus and support those with COVID-19, there is growing evidence regarding measurable impacts on non-COVID-19 patients. The paper uses a large dataset from administrative records of the Brazilian public health system (SUS) to estimate pandemic spillover effects in critically ill health care delivery, i.e. the additional mortality risk that COVID-19 ICU hospitalizations generate on non-COVID-19 patients receiving intensive care. The data contain the universe of ICU hospitalizations in SUS from February 26, 2020 to December 31, 2021. Spillover estimates are obtained from high-dimensional fixed effects regression models that control for a number of unobservable confounders. Our findings indicate that, on average, the pandemic increased the mortality risk of non-COVID-19 ICU patients by 1.296 percentage points, 95% CI 1.145–1.448. The spillover mortality risk is larger for non-COVID patients receiving intensive care due to diseases of the respiratory system, diseases of the skin and subcutaneous tissue, and infectious and parasitic diseases. As of July 2023, the WHO reports more than 6.9 million global deaths due to COVID-19 infection. However, our estimates of spillover effects suggest that the pandemic’s total death toll is much higher.https://doi.org/10.1038/s41598-023-40727-z |
spellingShingle | Bruno Wichmann Roberta Moreira Wichmann Big data evidence of the impact of COVID-19 hospitalizations on mortality rates of non-COVID-19 critically ill patients Scientific Reports |
title | Big data evidence of the impact of COVID-19 hospitalizations on mortality rates of non-COVID-19 critically ill patients |
title_full | Big data evidence of the impact of COVID-19 hospitalizations on mortality rates of non-COVID-19 critically ill patients |
title_fullStr | Big data evidence of the impact of COVID-19 hospitalizations on mortality rates of non-COVID-19 critically ill patients |
title_full_unstemmed | Big data evidence of the impact of COVID-19 hospitalizations on mortality rates of non-COVID-19 critically ill patients |
title_short | Big data evidence of the impact of COVID-19 hospitalizations on mortality rates of non-COVID-19 critically ill patients |
title_sort | big data evidence of the impact of covid 19 hospitalizations on mortality rates of non covid 19 critically ill patients |
url | https://doi.org/10.1038/s41598-023-40727-z |
work_keys_str_mv | AT brunowichmann bigdataevidenceoftheimpactofcovid19hospitalizationsonmortalityratesofnoncovid19criticallyillpatients AT robertamoreirawichmann bigdataevidenceoftheimpactofcovid19hospitalizationsonmortalityratesofnoncovid19criticallyillpatients |