Impact of healthcare worker shift scheduling on workforce preservation during the COVID-19 pandemic

Dan M. Kluger; Yariv Aizenbud; Ariel Jaffe; Fabio Parisi; Lilach Aizenbud; Eyal Minsky-Fenick; Jonathan M. Kluger; Shelli Farhadian; Harriet M. Kluger; Yuval Kluger

doi:10.1017/ice.2020.337

Impact of healthcare worker shift scheduling on workforce preservation during the COVID-19 pandemic

Dan M. Kluger, Yariv Aizenbud, Ariel Jaffe, Fabio Parisi, Lilach Aizenbud, Eyal Minsky-Fenick, Jonathan M. Kluger, Shelli Farhadian, Harriet M. Kluger, Yuval Kluger

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	1443-1445
Number of pages	3
Journal	Infection Control and Hospital Epidemiology
Volume	41
Issue number	12
DOIs	https://doi.org/10.1017/ice.2020.337
State	Published - Dec 2020
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Epidemiology
Microbiology (medical)
Infectious Diseases

Access to Document

10.1017/ice.2020.337

Cite this

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title = "Impact of healthcare worker shift scheduling on workforce preservation during the COVID-19 pandemic",

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.",

author = "Kluger, \{Dan M.\} and Yariv Aizenbud and Ariel Jaffe and Fabio Parisi and Lilach Aizenbud and Eyal Minsky-Fenick and Kluger, \{Jonathan M.\} and Shelli Farhadian and Kluger, \{Harriet M.\} and Yuval Kluger",

year = "2020",

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doi = "10.1017/ice.2020.337",

language = "الإنجليزيّة",

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AU - Kluger, Dan M.

AU - Aizenbud, Yariv

AU - Jaffe, Ariel

AU - Parisi, Fabio

AU - Aizenbud, Lilach

AU - Minsky-Fenick, Eyal

AU - Kluger, Jonathan M.

AU - Farhadian, Shelli

AU - Kluger, Harriet M.

AU - Kluger, Yuval

PY - 2020/12

Y1 - 2020/12

N2 - 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.

AB - 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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U2 - 10.1017/ice.2020.337

DO - 10.1017/ice.2020.337

M3 - مقالة

C2 - 32684183

SN - 0899-823X

VL - 41

SP - 1443

EP - 1445

JO - Infection Control and Hospital Epidemiology

JF - Infection Control and Hospital Epidemiology

IS - 12

ER -

Impact of healthcare worker shift scheduling on workforce preservation during the COVID-19 pandemic

Abstract

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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