Evidence map›Paper›PMID 40680995›Full record

ArticleAmerican journal of infection control2025

Nursing home visitor policy and COVID-19 infection rates.

Huiwen Xu, John R Bowblis, Shuang Li, Yong-Fang Kuo, James S Goodwin

Abstract read
In one paragraph

Article in American journal of infection control, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Huiwen XuNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA. Electronic address: huiwen.xu@emory.edu.
John R BowblisDepartment of Economics, Farmer School of Business, Miami University, Oxford, OH; Scripps Gerontology Center, Miami University, Oxford, OH.
Shuang LiSealy Center on Aging, University of Texas Medical Branch, Galveston, TX.
Yong-Fang KuoSealy Center on Aging, University of Texas Medical Branch, Galveston, TX; School of Public and Population Health, University of Texas Medical Branch, Galveston, TX.
James S GoodwinSealy Center on Aging, University of Texas Medical Branch, Galveston, TX; Department of Internal Medicine, University of Texas Medical Branch, Galveston, TX.

Funding

UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
The effectiveness and consequences of visitation bans in nursing homesR01AG081282 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Huiwen Xu · 2023 to 2026
$1.5M
Alzheimer's Special Care Units in Nursing Homes: Racial and Ethnic Disparities, Resident Outcomes, and State PoliciesR01AG087296 · NIA · EMORY UNIVERSITY · PI Huiwen Xu · 2024 to 2026
$1.2M
NIA NIH HHS P30 AG024832NIA NIH HHS R01 AG081282NIA NIH HHS R01 AG087296
6 · The paper itself

Abstract

backgroundDuring 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.

methodsWe 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.

resultsOf 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.

conclusionsAllowing visitors in the context of adequate preventive measures was safe, even during a period of high community transmission and before vaccine rollouts.

Indexed as

COVID-19Nursing HomesVisitors to PatientsAgedAged, 80 and overFemaleHumansMaleOhioSARS-CoV-2COVID-19 infectionMarginal structural models

Identifiers

PMID40680995
PMCPMC12313222

What Socratic holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.