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Coronavirus Disease 2019 Planning and Response: A Tale of 2 Health Workforce Estimator Tools
BACKGROUND: As coronavirus disease 2019 (COVID-19) rapidly progressed throughout the United States, increased demand for health workers required health workforce data and tools to aid planning and response at local, state, and national levels. OBJECTIVE: We describe the development of 2 estimator to...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428849/ https://www.ncbi.nlm.nih.gov/pubmed/34524238 http://dx.doi.org/10.1097/MLR.0000000000001606 |
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author | Chen, Candice Luo, Qian Chong, Nicholas Westergaard, Sara Brantley, Erin Salsberg, Edward Erikson, Clese Pillai, Drishti Green, Katherine Pittman, Patricia |
author_facet | Chen, Candice Luo, Qian Chong, Nicholas Westergaard, Sara Brantley, Erin Salsberg, Edward Erikson, Clese Pillai, Drishti Green, Katherine Pittman, Patricia |
author_sort | Chen, Candice |
collection | PubMed |
description | BACKGROUND: As coronavirus disease 2019 (COVID-19) rapidly progressed throughout the United States, increased demand for health workers required health workforce data and tools to aid planning and response at local, state, and national levels. OBJECTIVE: We describe the development of 2 estimator tools designed to inform health workforce planning for COVID-19. RESEARCH DESIGN: We estimated supply and demand for intensivists, critical care nurses, hospitalists, respiratory therapists, and pharmacists, using Institute for Health Metrics and Evaluation projections for COVID-19 hospital care and National Plan and Provider Enumeration System, Provider Enrollment Chain and Ownership System, American Hospital Association, and Bureau of Labor Statistics Occupation Employment Statistics for workforce supply. We estimated contact tracing workforce needs using Johns Hopkins University COVID-19 case counts and workload parameters based on expert advice. RESULTS: The State Hospital Workforce Deficit Estimator estimated the sufficiency of state hospital-based clinicians to meet projected COVID-19 demand. The Contact Tracing Workforce Estimator calculated the workforce needed based on the 14-day COVID-19 caseload at county, state, and the national level, allowing users to adjust workload parameters to reflect local contexts. CONCLUSIONS: The 2 estimators illustrate the value of integrating health workforce data and analysis with pandemic response planning. The many unknowns associated with COVID-19 required tools to be flexible, allowing users to change assumptions on number of contacts and work capacity. Data limitations were a challenge for both estimators, highlighting the need to invest in health workforce data and data infrastructure as part of future emergency preparedness planning. |
format | Online Article Text |
id | pubmed-8428849 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-84288492021-09-13 Coronavirus Disease 2019 Planning and Response: A Tale of 2 Health Workforce Estimator Tools Chen, Candice Luo, Qian Chong, Nicholas Westergaard, Sara Brantley, Erin Salsberg, Edward Erikson, Clese Pillai, Drishti Green, Katherine Pittman, Patricia Med Care Original Articles BACKGROUND: As coronavirus disease 2019 (COVID-19) rapidly progressed throughout the United States, increased demand for health workers required health workforce data and tools to aid planning and response at local, state, and national levels. OBJECTIVE: We describe the development of 2 estimator tools designed to inform health workforce planning for COVID-19. RESEARCH DESIGN: We estimated supply and demand for intensivists, critical care nurses, hospitalists, respiratory therapists, and pharmacists, using Institute for Health Metrics and Evaluation projections for COVID-19 hospital care and National Plan and Provider Enumeration System, Provider Enrollment Chain and Ownership System, American Hospital Association, and Bureau of Labor Statistics Occupation Employment Statistics for workforce supply. We estimated contact tracing workforce needs using Johns Hopkins University COVID-19 case counts and workload parameters based on expert advice. RESULTS: The State Hospital Workforce Deficit Estimator estimated the sufficiency of state hospital-based clinicians to meet projected COVID-19 demand. The Contact Tracing Workforce Estimator calculated the workforce needed based on the 14-day COVID-19 caseload at county, state, and the national level, allowing users to adjust workload parameters to reflect local contexts. CONCLUSIONS: The 2 estimators illustrate the value of integrating health workforce data and analysis with pandemic response planning. The many unknowns associated with COVID-19 required tools to be flexible, allowing users to change assumptions on number of contacts and work capacity. Data limitations were a challenge for both estimators, highlighting the need to invest in health workforce data and data infrastructure as part of future emergency preparedness planning. Lippincott Williams & Wilkins 2021-10 2021-09-09 /pmc/articles/PMC8428849/ /pubmed/34524238 http://dx.doi.org/10.1097/MLR.0000000000001606 Text en Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Original Articles Chen, Candice Luo, Qian Chong, Nicholas Westergaard, Sara Brantley, Erin Salsberg, Edward Erikson, Clese Pillai, Drishti Green, Katherine Pittman, Patricia Coronavirus Disease 2019 Planning and Response: A Tale of 2 Health Workforce Estimator Tools |
title | Coronavirus Disease 2019 Planning and Response: A Tale of 2 Health Workforce Estimator Tools |
title_full | Coronavirus Disease 2019 Planning and Response: A Tale of 2 Health Workforce Estimator Tools |
title_fullStr | Coronavirus Disease 2019 Planning and Response: A Tale of 2 Health Workforce Estimator Tools |
title_full_unstemmed | Coronavirus Disease 2019 Planning and Response: A Tale of 2 Health Workforce Estimator Tools |
title_short | Coronavirus Disease 2019 Planning and Response: A Tale of 2 Health Workforce Estimator Tools |
title_sort | coronavirus disease 2019 planning and response: a tale of 2 health workforce estimator tools |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428849/ https://www.ncbi.nlm.nih.gov/pubmed/34524238 http://dx.doi.org/10.1097/MLR.0000000000001606 |
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