Nursing home visitor policy and COVID-19 infection rates

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1 Scopus citations

Abstract

Background During the Coronavirus disease 2019 (COVID-19) pandemic, Ohio was the only state that collected facility-level visitation data after rescinding its ban on visitors. This study examines the association of allowing outside visitors with COVID-19 infection rates among nursing home residents. Methods We assembled a cohort of Ohio nursing homes over 9 weeks (November 1, 2020-January 3, 2021). For each week, we obtained whether a facility allowed visitors, any COVID-19 infections among residents, community infection rates, and other facility characteristics. Marginal structural models examined the association of allowing visitors with resident infections, weighted by the inverse of the probability of allowing visitors. Results Of the 677 nursing homes with visitation data, the number of facilities allowing visitors during any week from October 29, 2020 to January 3, 2021 ranged from 226 to 327. Marginal models substantially improved the balance in covariates. In the marginal models, allowing visitors was not associated with the unadjusted rates or adjusted odds of new infection among residents (odds ratio = 0.92, 95% confidence interval: 0.78, 1.08). The result was similar in sensitivity analyses on the lagged effect of allowing visitors. Conclusions Allowing visitors in the context of adequate preventive measures was safe, even during a period of high community transmission and before vaccine rollouts.

Original languageEnglish (US)
Pages (from-to)1273-1281
Number of pages9
JournalAmerican Journal of Infection Control
Volume53
Issue number12
DOIs
StatePublished - Dec 2025

Keywords

  • COVID-19 infection
  • Marginal structural models

ASJC Scopus subject areas

  • Epidemiology
  • Health Policy
  • Public Health, Environmental and Occupational Health
  • Infectious Diseases

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