Evidence map›Paper›PMID 37810822›Full record

ArticleHeliyon2023

Determinants of nurses' readiness for disaster response: A cross-sectional study.

Chia-Huei Lin, Wen-Chii Tzeng, Li-Chi Chiang, Meei-Shyuan Lee, Shang-Lin Chiang

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  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

5 authors at 3 institutions in 1 country.

Chia-Huei LinSchool of Nursing, National Defense Medical Center, Taipei, Taiwan, ROC.
Wen-Chii TzengSchool of Nursing, National Defense Medical Center, Taipei, Taiwan, ROC.
Li-Chi ChiangSchool of Nursing & Graduated Institute of Medical Science, National Defense Medical Center & China Medical University, Taipei, Taichung, Taiwan, ROC.
Meei-Shyuan LeeSchool of Public Health & Graduated Institute of Medical Science, National Defense Medical Center, Taipei, Taiwan, ROC.
Shang-Lin ChiangDepartment of Physical Medicine and Rehabilitation, Tri-Service General Hospital, & School of Medicine, National Defense Medical Center, Taipei, Taiwan, ROC.
National Defense Medical Center · TWTri-Service General Hospital · TWChina Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reducing the impacts of disasters is imperative in these times when disasters continually threaten people's lives. Given that the readiness for disaster response of nurses are essential in mitigating damage, however, studies on the determinants of nurses' readiness for disaster response remain inconclusive and require further research, especially with various populations. This study therefore aimed to investigate factors associated with readiness for disaster response among Taiwanese hospital nurses. A cross-sectional study was conducted on 365 eligible and registered nurses at a medical centre in northern Taiwan. The Readiness for Disaster Responses Scale including four subscales: personal preparedness, self-protection, emergency response, and clinical management were used for assessment. Analyses were performed using multiple linear regression models. Our study results showed that the length of nursing work was positively associated with nurses' readiness for disaster responses (β = 0.28,

Indexed as

DisasterDisaster responseNurseNursingReadiness

Identifiers

PMID37810822
PMCPMC10550620
OpenAlexW4387211536

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.