Selected article for: "hcw infection rate and infection rate"
Author: Dan M Kluger; Yariv Aizenbud; Ariel Jaffe; Lilach Aizenbud; Fabio Parisi; Eyal Minsky-Fenick; Jonathan M Kluger; Shelli Farhadian; Harriet M Kluger; Yuval Kluger
Title: Impact of healthcare worker shift scheduling on workforce preservation during the COVID-19 pandemic
  • Document date: 2020_4_18
    • ID: i5stqd06_11
    Snippet: In summary, pandemics necessitate widespread reassessment of workforce planning to ensure backup of sufficient uninfected HCWs. Using various input variables for our simulations for non-COVID-19 services, we make three primary observations: 1) Having all HCWs work at least three consecutive days reduces the chance of team failure, 2) longer nursing shifts (12 versus eight hours) decrease the rate of HCW infection, and 3) avoiding staggering of ro.....
    Document: In summary, pandemics necessitate widespread reassessment of workforce planning to ensure backup of sufficient uninfected HCWs. Using various input variables for our simulations for non-COVID-19 services, we make three primary observations: 1) Having all HCWs work at least three consecutive days reduces the chance of team failure, 2) longer nursing shifts (12 versus eight hours) decrease the rate of HCW infection, and 3) avoiding staggering of rotations of attendings, house-staff and nurses reduces the number of infected HCWs. When applying this model to the real-world challenge of staffing hospital units, clinical setting variables such as trainee presence, patient acuity, stay length, nursing/patient ratio, will need to be considered. Similar modeling can be employed for teams treating known COVID-19 patients.

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