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Impact of healthcare worker shift scheduling on workforce preservation during the COVID-19 pandemic.
Kluger, Dan M; Aizenbud, Yariv; Jaffe, Ariel; Parisi, Fabio; Aizenbud, Lilach; Minsky-Fenick, Eyal; Kluger, Jonathan M; Farhadian, Shelli; Kluger, Harriet M; Kluger, Yuval.
  • Kluger DM; Department of Statistics, Stanford University, Stanford, California.
  • Aizenbud Y; Program of Applied Mathematics, Yale University, New Haven, Connecticut.
  • Jaffe A; Program of Applied Mathematics, Yale University, New Haven, Connecticut.
  • Parisi F; Program of Applied Mathematics, Yale University, New Haven, Connecticut.
  • Aizenbud L; Yale Cancer Center, New Haven, Connecticut.
  • Minsky-Fenick E; Program of Applied Mathematics, Yale University, New Haven, Connecticut.
  • Kluger JM; School of Medicine, Yale University, New Haven, Connecticut.
  • Farhadian S; Section of Infectious Diseases, Department of Medicine, Yale University, New Haven, Connecticut.
  • Kluger HM; Yale Cancer Center, New Haven, Connecticut.
  • Kluger Y; Section of Medical Oncology, Department of Medicine, Yale University, New Haven, Connecticut.
Infect Control Hosp Epidemiol ; 41(12): 1443-1445, 2020 12.
Article in English | MEDLINE | ID: covidwho-656539
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ABSTRACT
Reducing severe acute respiratory coronavirus virus 2 (SARS-CoV-2) infections among healthcare workers is critical. We ran Monte Carlo simulations modeling the spread of SARS-CoV-2 in non-COVID-19 wards, and we found that longer nursing shifts and scheduling designs in which teams of nurses and doctors co-rotate no more frequently than every 3 days can lead to fewer infections.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Personnel Staffing and Scheduling / Infection Control / Safety Management / COVID-19 / Health Workforce / Medical Staff, Hospital Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: North America Language: English Journal: Infect Control Hosp Epidemiol Journal subject: Communicable Diseases / Nursing / Epidemiology / Hospitals Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Personnel Staffing and Scheduling / Infection Control / Safety Management / COVID-19 / Health Workforce / Medical Staff, Hospital Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: North America Language: English Journal: Infect Control Hosp Epidemiol Journal subject: Communicable Diseases / Nursing / Epidemiology / Hospitals Year: 2020 Document Type: Article