Evaluating Policies to Decrease the Risk of Introducing SARS-CoV-2 Infections to Nursing Home Facilities

Details

• Alternative Title:
  J Appl Gerontol
• Personal Author:
  Adams, Joëlla W. ; Jones, Kasey ; Preiss, Sandy ; Hadley, Emily ; Segelman, Micah
• Description:
  We used an individual-based microsimulation model of North Carolina to determine what facility-level policies would result in the greatest reduction in the number of individuals with SARS-CoV-2 entering the nursing home environment from 12/15/2021 to 1/3/2022 (e.g., Omicron variant surge). On average, there were 14,287 (Credible Interval [CI]: 13,477-15,147) daily visitors and 17,168 (CI: 16,571-17,768) HCW coming from the community into 426 nursing home facilities. Policies requiring a negative rapid test or vaccinated status for visitors resulted in the greatest reduction in the number of individuals with SARS-CoV-2 infection entering the nursing home environment with a 29.6% (26.9%-32.0%) and 24.0% (CI: 22.2%-25.5%) reduction, respectively. Policies halving visits (21.2% [20.0%-28.2%]), requiring all vaccinated HCW to receive a booster (7.8% [CI: 7.4%-8.7%]), and limiting visitation to a primary visitor (6.5% [CI: 3.5%-9.7%]) reduced infectious contacts to a lesser degree.
• Subjects:
  Article COVID-19 Humans Nursing Homes Policy SARS-CoV-2 Simulation Modeling
• Source:
  J Appl Gerontol. 42(7):1505-1516
• Pubmed ID:
  36749786
• Pubmed Central ID:
  PMC10360919
• Document Type:
  Journal Article
• Funding:
  U01 CK000527/CK/NCEZID CDC HHSUnited States/ ; U01CK000527/ACL/ACL HHSUnited States/
• Volume:
  42
• Issue:
  7
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:f6900319a7bbd65a8d1bbe1712b5ead0dd661680fe75e34ab765c4863e5b075f
• Download URL:
  https://stacks.cdc.gov/view/cdc/131202/cdc_131202_DS1.pdf
• File Type:
  [PDF - 322.20 KB ]