Impact of healthcare worker shift scheduling on workforce preservation during the COVID-19 pandemic
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:41 |
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| Enthalten in: |
Infection control and hospital epidemiology - 41(2020), 12 vom: 20. Dez., Seite 1443-1445 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Kluger, Dan M [VerfasserIn] |
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| Anmerkungen: |
Date Completed 22.12.2020 Date Revised 20.09.2021 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1017/ice.2020.337 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM312604998 |
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| 520 | |a 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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