Evidence map›Paper›PMID 38916018›Full record

ArticleCureus2024

Medical Team Intervention Into a Long-Term Care Health Facility in Japan During the First Wave of the COVID-19 Pandemic.

Mayuko Saito, Keiichiro Kita, Ippei Sakamaki, Yoshihiro Yamamoto, Seiji Yamashiro

Abstract read
In one paragraph

Article in Cureus, 2024. 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
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.

  1. Article
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.

Mayuko SaitoGeneral Internal Medicine, Toyama University Hospital, Toyama, JPN.
Keiichiro KitaGeneral Internal Medicine, Toyama University Hospital, Toyama, JPN.
Ippei SakamakiInfectious Diseases, University of Fukui, Fukui, JPN.
Yoshihiro YamamotoDepartment of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, JPN.
Seiji YamashiroDepartment of Internal Medicine, Asahi General Hospital, Asahi, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nursing homes face a high risk of coronavirus disease 2019 (COVID-19) infection; in the early stages of the pandemic, outbreaks in nursing homes resulted in significant deaths among residents. Our medical team intervened in one nursing home struggling to cope with the COVID-19 pandemic. We analyzed the outcomes of 65 residents (52 women and 13 men; mean age, 89 years) during the first wave of infection, as well as changes in resident and staff numbers after the pandemic subsided. The mortality rates in the early and late transfer groups for the first three months of our intervention were 46.7% and 19.2%, respectively. The number of residents and staff fell to 34 and six, respectively, at their lowest point, but recovered to 64 and 33, respectively, by August 2023. Since the successful containment of the outbreak, no clusters of COVID-19-related illnesses have been observed at the facility despite nine infection waves occurring across Japan. Improving staff precautions, designing facilities with effective zoning, and sharing information with government agencies are essential for preventing healthcare-associated infections. Hence, an inter-professional team approach is important to support residents, and ongoing mental health support for staff is essential to maintain optimal healthcare quality in nursing home facilities.

Indexed as

clustercovid-19elderynursing homesprimary care physician

Identifiers

PMID38916018
PMCPMC11194842

What OpenQuestion 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 OpenQuestion graph.