Evidence map›Paper›PMID 33489374›Full record

ArticleInternational journal of nephrology2021

Cognition and Implementation of Disaster Preparedness among Japanese Dialysis Facilities.

Hidehiro Sugisawa, Toshio Shinoda, Yumiko Shimizu, Tamaki Kumagai

Open access · goldAbstract read
In one paragraph

Article in International journal of nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

4 authors at 4 institutions in 1 country.

Hidehiro SugisawaGraduate School of Gerontology, J. F. Oberlin University, Machida-city, Tokyo 194-0294, Japan.ORCID https://orcid.org/0000-0003-1646-1824
Toshio ShinodaFaculty of Health and Medical Sciences, Tsukuba International University, Tsuchiura-city, Ibaraki 300-0051, Japan.ORCID https://orcid.org/0000-0002-9060-9375
Yumiko ShimizuThe Jikei University School of Nursing, Chofu-city, Tokyo 182-8570, Japan.ORCID https://orcid.org/0000-0001-7512-3302
Tamaki KumagaiSchool of Nursing, Osaka City University, Osaka-city 545-0051, Japan.ORCID https://orcid.org/0000-0002-0214-1195
J. F. Oberlin University · JPJikei University School of Medicine · JPOsaka City University · JPTsukuba International University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFew quantitative studies have explored disaster preparedness in dialysis facilities worldwide. This study examined the levels of disaster preparedness and their related factors in dialysis facilities in Japan.

methodsWe conducted a mail survey using a self-administered questionnaire for key persons responsible for disaster preparedness in dialysis facilities (

resultsA total of 517 participants answered the survey (response rate: 57.2%). Implementation rates differed according to the domains of disaster preparedness. While the average implementation rate of the safety domain was 81.8%, each average implementation rate was 57.9%, 48.3%, and 38.4% for the administration, network, and patient domains, respectively. The study found that self-efficacy and support from the surroundings of the participants were significantly associated with the four domains of disaster preparedness. Alternatively, risk perception and support from surroundings were significantly associated with one particular domain each.

conclusionOur results suggest that boosting self-efficacy and support from surroundings among key persons of disaster preparedness in dialysis facilities may contribute to the advancement of the different domains of disaster preparedness.

Identifiers

PMID33489374
PMCPMC7803413
OpenAlexW3120038637

What OpenQuestion holds

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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.