Nursing Home Visitor Policy and COVID-19 Infection Rates: A Marginal Structural Model Analysis
Huiwen Xu, John Bowblis, Shuang Li, Jennifer Heston-Mullins, Yong-Fang Kuo, James Goodwin

TL;DR
This study found that allowing visitors in Ohio nursing homes during the pandemic did not increase resident infection rates when proper safety measures were followed.
Contribution
The study uses marginal structural models to analyze the impact of visitor policies on infection rates in nursing homes.
Findings
Allowing visitors was not associated with increased odds of new infections among residents.
Safety measures like PPE and social distancing made visitor policies safe despite rising community infections.
Marginal models improved balance in covariates between facilities with different visitor policies.
Abstract
During the 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. We assembled a cohort of Ohio nursing homes over 9 weeks (11/1/2020 to 1/3/2020). 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. Of the 677 nursing homes with visitation data, the number of nursing homes that allowed visitors during any week from 10/29/2020 to 1/3/2021 ranged from 226 to 327, and the number with bans in place was between 316 and…
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Taxonomy
TopicsGeriatric Care and Nursing Homes · Homelessness and Social Issues · Family and Patient Care in Intensive Care Units
