Evidence map›Paper›PMID 37986144›Full record

ArticleBMC geriatrics2023

Potential determinants of the quantity and duration of COVID-19 outbreaks in geriatric long-term care facilities.

Janis Evers, Max Geraedts

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2023. 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, top 69% of its field
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, 0 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Janis EversInstitute for Health Services Research and Clinical Epidemiology, Philipps-Universität Marburg, Marburg, Germany. janis.evers@uni-marburg.de.
Max GeraedtsInstitute for Health Services Research and Clinical Epidemiology, Philipps-Universität Marburg, Marburg, Germany.
Philipps University of Marburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe analyzed potential factors for the number and duration of COVID-19 outbreaks in nursing homes based on routine and structural data.

methodsAll outbreaks during 03/2020-01/2022 in N = 687 of a total of 879 geriatric long-term care facilities (LTCFs) in the Federal State of Hesse, Germany were analyzed using t-tests and logistic regressions in a retrospective cohort study.

resultsLarger LTCFs have more (+ 1.57, p = .009) and longer outbreaks (+ 10.04 days, p > .001). A higher proportion of registered nurses reduces the number (-0.1, p = .036) and duration (-6.02 days, p > .001) of outbreaks. Single-bed rooms provide less duration of outbreaks (-4.5, p = .004). A higher proportion of infected residents (+ 24.26 days, p < .001) and staff (+ 22.98 days, p < .001) prolong outbreaks the most. LTCFs in areas with intermediate population density have an increased risk of prolonged outbreaks (OR: 1.537, p = .036).

conclusionsTo prevent outbreaks and shorten their duration, LTCFs should increase the proportion of registered nurses and single-bed rooms, and control staff infections.

Indexed as

COVID-19AgedDisease OutbreaksHumansLong-Term CareNursing HomesRetrospective StudiesGeriatric long-term care facilitiesProfit statusRegistered nursesRisk factorsSingle-occupancy rooms

Identifiers

PMID37986144
PMCPMC10662170
OpenAlexW4388824152

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.