Impact of healthcare worker shift scheduling on workforce preservation during the COVID-19 pandemic.
COVID-19
/ epidemiology
Connecticut
/ epidemiology
Health Workforce
/ organization & administration
Humans
Infection Control
/ methods
Medical Staff, Hospital
/ organization & administration
Occupational Exposure
/ prevention & control
Organizational Innovation
Personnel Staffing and Scheduling
/ organization & administration
SARS-CoV-2
Safety Management
/ organization & administration
Journal
Infection control and hospital epidemiology
ISSN: 1559-6834
Titre abrégé: Infect Control Hosp Epidemiol
Pays: United States
ID NLM: 8804099
Informations de publication
Date de publication:
12 2020
12 2020
Historique:
pubmed:
21
7
2020
medline:
23
12
2020
entrez:
21
7
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 32684183
pii: S0899823X20003372
doi: 10.1017/ice.2020.337
pmc: PMC7403749
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
1443-1445Subventions
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Organisme : NCI NIH HHS
ID : P50 CA121974
Pays : United States
Organisme : NIMH NIH HHS
ID : K23 MH118999
Pays : United States
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