Evidence map›Paper›PMID 35667726›Full record

ArticleBMJ open2022

Characteristics of nursing homes and early preventive measures associated with risk of infection from COVID-19 in Lazio region, Italy: a retrospective case-control study.

Stefano Orlando, Tuba Mazhari, Alessio Abbondanzieri, Gennaro Cerone, Fausto Ciccacci, Giuseppe Liotta, Sandro Mancinelli, Maria Cristina Marazzi, Leonardo Palombi

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

9 authors.

Stefano OrlandoDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Roma, Italy stefano.orlando@uniroma2.it.ORCID 0000-0001-9706-4075
Tuba MazhariSchool of Population Health & Environmental Sciences, King's College London, London, UK.
Alessio AbbondanzieriDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Roma, Italy.
Gennaro CeroneDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Roma, Italy.
Fausto CiccacciUnicamillus, Saint Camillus International University of Health Sciences, Rome, Italy.
Giuseppe LiottaDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Roma, Italy.
Sandro MancinelliDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Roma, Italy.
Maria Cristina MarazziLibera Università Maria Santissima Assunta, Roma, Lazio, Italy.
Leonardo PalombiDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Roma, Italy.ORCID 0000-0003-1806-5278

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo understand which organisational-structural characteristics of nursing homes-also referred to as long-term care facilities (LTCFs)-and the preventative measures adopted in response to the pandemic are associated with the risk of a COVID-19 outbreak.

settingLTCFs in Lazio region in Italy.

designThe study adopts a case-control design.

participantsWe included 141 facilities and 100 provided information for the study. Cases were defined as facilities reporting a COVID-19 outbreak (two or more cases) in March-December 2020; controls were defined as LTCFs reporting one case or zero. The exposures include the structural-organisational characteristics of the LTCFs as reported by the facilities, preventative measures employed and relevant external factors.

resultsTwenty facilities reported an outbreak of COVID-19. In binary logistic regression models, facilities with more than 15 beds were five times more likely to experience an outbreak than facilities with less than 15 beds OR=5.60 (CI 1.61 to 25.12; p value 0.002); admitting new residents to facilities was associated with a substantially higher risk of an outbreak: 6.46 (CI 1.58 to 27.58, p value 0.004). In a multivariable analysis, facility size was the only variable that was significantly associated with a COVID-19 outbreak OR= 5.37 (CI 1.58 to 22.8; p value 0.012) for larger facilities (>15 beds) versus smaller (<15 beds). Other characteristics and measures were not associated with an outbreak.

conclusionThere was evidence of a higher risk of COVID-19 in larger facilities and when new patients were admitted during the pandemic. All other structural-organisational characteristics and preventative measures were not associated with an outbreak. This finding calls into question existing policies, especially where there is a risk of harm to residents. One such example is the restriction of visitor access to facilities, resulting in the social isolation of residents.

Indexed as

COVID-19Case-Control StudiesHumansLong-Term CareNursing HomesRetrospective StudiesSARS-CoV-2COVID-19GERIATRIC MEDICINEInfection controlQuality in health care

Identifiers

PMID35667726
PMCPMC9170802

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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 OpenQuestion graph.