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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.
  • Chen C; Fitzhugh Mullan Institute for Health Workforce Equity, Milken Institute School of Public Health, George Washington University, Washington, DC.
Med Care ; 59(Suppl 5): S420-S427, 2021 10 01.
Article in English | MEDLINE | ID: covidwho-1410279
ABSTRACT

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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Regional Health Planning / Models, Statistical / Health Personnel / Community Health Planning / COVID-19 / Health Workforce Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: North America Language: English Journal: Med Care Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Regional Health Planning / Models, Statistical / Health Personnel / Community Health Planning / COVID-19 / Health Workforce Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: North America Language: English Journal: Med Care Year: 2021 Document Type: Article