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Estimated Impact of Public and Private Sector COVID-19 Diagnostics and Treatments on US Healthcare Resource Utilization

INTRODUCTION: Coronavirus disease 2019 (COVID-19) has imposed a considerable burden on the United States (US) health system, with particular concern over healthcare capacity constraints. METHODS: We modeled the impact of public and private sector contributions to developing diagnostic testing and tr...

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Autores principales: Sheinson, Daniel M., Wong, William B., Solon, Caroline E., Cheng, Mindy M., Shah, Anuj, Elsea, David, Meng, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765700/
https://www.ncbi.nlm.nih.gov/pubmed/33367984
http://dx.doi.org/10.1007/s12325-020-01597-3
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author Sheinson, Daniel M.
Wong, William B.
Solon, Caroline E.
Cheng, Mindy M.
Shah, Anuj
Elsea, David
Meng, Yang
author_facet Sheinson, Daniel M.
Wong, William B.
Solon, Caroline E.
Cheng, Mindy M.
Shah, Anuj
Elsea, David
Meng, Yang
author_sort Sheinson, Daniel M.
collection PubMed
description INTRODUCTION: Coronavirus disease 2019 (COVID-19) has imposed a considerable burden on the United States (US) health system, with particular concern over healthcare capacity constraints. METHODS: We modeled the impact of public and private sector contributions to developing diagnostic testing and treatments on COVID-19-related healthcare resource use. RESULTS: We estimated that public sector contributions led to at least 30% reductions in COVID-19-related healthcare resource utilization. Private sector contributions to expanded diagnostic testing and treatments led to further reductions in mortality (− 44%), intensive care unit (ICU) and non-ICU hospital beds (− 30% and − 28%, respectively), and ventilator use (− 29%). The combination of lower diagnostic test sensitivity and proportions of patients self-isolating may exacerbate case numbers, and policies that encourage self-isolating should be considered. CONCLUSION: While mechanisms exist to facilitate research, development, and patient access to diagnostic testing, future policies should focus on ensuring equitable patient access to both diagnostic testing and treatments that, in turn, will alleviate COVID-19-related resource constraints. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12325-020-01597-3.
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spelling pubmed-77657002020-12-28 Estimated Impact of Public and Private Sector COVID-19 Diagnostics and Treatments on US Healthcare Resource Utilization Sheinson, Daniel M. Wong, William B. Solon, Caroline E. Cheng, Mindy M. Shah, Anuj Elsea, David Meng, Yang Adv Ther Original Research INTRODUCTION: Coronavirus disease 2019 (COVID-19) has imposed a considerable burden on the United States (US) health system, with particular concern over healthcare capacity constraints. METHODS: We modeled the impact of public and private sector contributions to developing diagnostic testing and treatments on COVID-19-related healthcare resource use. RESULTS: We estimated that public sector contributions led to at least 30% reductions in COVID-19-related healthcare resource utilization. Private sector contributions to expanded diagnostic testing and treatments led to further reductions in mortality (− 44%), intensive care unit (ICU) and non-ICU hospital beds (− 30% and − 28%, respectively), and ventilator use (− 29%). The combination of lower diagnostic test sensitivity and proportions of patients self-isolating may exacerbate case numbers, and policies that encourage self-isolating should be considered. CONCLUSION: While mechanisms exist to facilitate research, development, and patient access to diagnostic testing, future policies should focus on ensuring equitable patient access to both diagnostic testing and treatments that, in turn, will alleviate COVID-19-related resource constraints. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12325-020-01597-3. Springer Healthcare 2020-12-26 2021 /pmc/articles/PMC7765700/ /pubmed/33367984 http://dx.doi.org/10.1007/s12325-020-01597-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original Research
Sheinson, Daniel M.
Wong, William B.
Solon, Caroline E.
Cheng, Mindy M.
Shah, Anuj
Elsea, David
Meng, Yang
Estimated Impact of Public and Private Sector COVID-19 Diagnostics and Treatments on US Healthcare Resource Utilization
title Estimated Impact of Public and Private Sector COVID-19 Diagnostics and Treatments on US Healthcare Resource Utilization
title_full Estimated Impact of Public and Private Sector COVID-19 Diagnostics and Treatments on US Healthcare Resource Utilization
title_fullStr Estimated Impact of Public and Private Sector COVID-19 Diagnostics and Treatments on US Healthcare Resource Utilization
title_full_unstemmed Estimated Impact of Public and Private Sector COVID-19 Diagnostics and Treatments on US Healthcare Resource Utilization
title_short Estimated Impact of Public and Private Sector COVID-19 Diagnostics and Treatments on US Healthcare Resource Utilization
title_sort estimated impact of public and private sector covid-19 diagnostics and treatments on us healthcare resource utilization
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765700/
https://www.ncbi.nlm.nih.gov/pubmed/33367984
http://dx.doi.org/10.1007/s12325-020-01597-3
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