Evidence map›Paper›PMID 37958011›Full record

ArticleHealthcare (Basel, Switzerland)2023

The Epidemiological Analysis of COVID-19 Outbreaks in Nursing Homes during the Period of Omicron Variant Predominance.

Jeffrey Che-Hung Tsai, Ying-Ying Chang, Chiann-Yi Hsu, Hui-Ju Chen, Feng-Tse Chan, Zhi-Yuan Shi

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 72% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Review
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

6 authors at 2 institutions in 1 country.

Jeffrey Che-Hung TsaiDepartment of Emergency Medicine, Taichung Veterans General Hospital, Puli Branch, Nantou 545402, Taiwan.ORCID 0000-0002-8001-6154
Ying-Ying ChangNursing Department, Taichung Veterans General Hospital, Puli Branch, Nantou 545402, Taiwan.
Chiann-Yi HsuBiostatistics Group, Department of Medical Research, Taichung Veterans General Hospital, Taichung 407219, Taiwan.ORCID 0000-0002-2941-3023
Hui-Ju ChenInfection Control Team, Taichung Veterans General Hospital, Puli Branch, Nantou 545402, Taiwan.
Feng-Tse ChanNursing Department, Taichung Veterans General Hospital, Puli Branch, Nantou 545402, Taiwan.
Zhi-Yuan ShiSchool of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan.ORCID 0000-0001-5194-7518
Taichung Veterans General Hospital · TWNational Yang Ming Chiao Tung University · TW

Funding

Taichung Veterans General Hospital, Puli Branch PL-2020001
6 · The paper itself

Abstract

backgroundThe main purpose of this study was to evaluate the epidemic trend and risk factors associated with COVID-19 outbreaks in nursing homes during the period of Omicron variant predominance.

methodsThe study analyzed the risk factors associated with SARS-CoV-2 infection and death among the 327 residents and 129 healthcare workers (HCWs) in three hospital-affiliated nursing homes through a multivariate Cox regression model.

resultsThe rates of receiving a COVID-19 booster dose were 70.3% for the residents and 93.0% for the healthcare workers (HCWs), respectively. A number of asymptomatic individuals, including 54 (16.5%) residents and 15 (11.6%) HCWs, were detected through mass screening surveillance tests. The COVID-19 infection rates during the outbreaks were 41.6% among residents and 48.1% among HCWs, respectively. The case fatality rate among residents was 10.3%. None of the HCWs were hospitalized or died. The multivariate Cox regression model showed that the risk of COVID-19 infection increased in males (HR 2.46; 95% CI 1.47-4.11;

conclusionsThis study highlighted the high infection rates with a substantial proportion of asymptomatic infections for both residents and HCWs, as well as a high case fatality rate for the residents among nursing homes during the Omicron epidemic period. We suggest implementing mass screening through regular surveillance testing as an effective strategy for early detection of COVID-19 and for preventing transmission during an epidemic period. Pneumonia is the primary risk associated with COVID-19 death. Early detection and prompt treatment of pneumonia for vulnerable residents in nursing homes are crucial to protect them from potential mortality.

Indexed as

Barthel indexCOVID-19nursing homeOmicronoutbreakrisk factors

Identifiers

PMID37958011
PMCPMC10648883
OpenAlexW4388040606

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.