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Coronavirus Disease 2019 Planning and Response

A Tale of 2 Health Workforce Estimator Tools

Datos Bibliográficos

ID9103600
AutoresCandice Chen (0000-0002-0542-8706, Milken Institute), Qing Luo (0000-0002-0238-8075), Qian Luo (0000-0002-3413-9727, Milken Institute), Nicholas Chong (0009-0009-7309-8188, Milken Institute), Sara Westergaard (0000-0002-7409-3479, Mt. Washington Pediatric Hospital, autor de correspondencia), Erin Brantley (0000-0002-3043-7946, Milken Institute), Edward Salsberg (0000-0003-0207-4436, Milken Institute), Clese Erikson (0000-0003-1531-9535, Milken Institute), Drishti Pillai (Milken Institute), Katherine Green (0000-0002-5911-0541, Milken Institute), Patricia Pittman (0000-0003-2794-6528, Milken Institute)
Año2021
Volumen59
NúmeroSuppl 5
PáginasS420-S427
Fecha de publicación2021-10-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000001606
PMID34524238
OpenAlexW3201277697
IdiomaEN
Citas recibidas1
Referencias citadas4

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

Business · Coronavirus disease 2019 (COVID-19) · Disease · Economic growth · Economics · Health care · Management · Operations management · Pandemic · Preparedness · Surge Capacity · Workforce · Workforce planning · Workload · COVID-19 and healthcare impacts · COVID-19 and Mental Health · COVID-19 epidemiological studies · Medicine

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    Open Access•Mercè Herrero, Pilar Ciruela et al.•BMC Public Health•2022

Obras citantes distintas1
Citas por año0,25
Intervalo de citas2022 - 2022 (1)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 1
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