Evidence map›Paper›PMID 41291720›Full record

ArticleBMC nursing2025

Midwifery workforce preparedness and competence in disaster situations: a qualitative study.

Öznur Şimşek Bulgulu, Gönül Gökçay, Yeliz Akkuş, Kadir Okan Bağış

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Öznur Şimşek BulguluMidwifery Department, Faculty of Health Sciences, Kafkas University, Kars, Türkiye.ORCID http://orcid.org/0000-0002-3309-8767
Gönül GökçayNursing Department, Faculty of Health Sciences, Kafkas University, Kars, Türkiye.ORCID http://orcid.org/0000-0003-0140-8668
Yeliz AkkuşNursing Department, Zübeyde Hanım Health Sciences Faculty, Niğde Ömer Halisdemir University, Niğde, Türkiye. yelizakkus@gmail.com.ORCID http://orcid.org/0000-0002-9321-2357
Kadir Okan BağışSchool of Health Services, Department of Medical Services and Techniques/First and Emergency Aid Program, Istanbul Kent University, İstanbul, Türkiye.ORCID http://orcid.org/0000-0001-9524-9770

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to determine the preparedness and competence of midwives before and during disaster situations.

methodsA phenomenological study was conducted with 16 midwives working at a public hospital between January and March 2025. The participants were selected through purposive sampling. The data were collected via a demographic information form and a semi structured interview form through an in-depth interview method. Content analysis was performed on the interview transcripts via the MAXQDA 2020 program.

resultsThree main themes emerged: midwives’ disaster preparedness status, factors influencing their intervention competence during disasters, and recommendations to enhance preparedness and intervention effectiveness.

conclusionThe study acknowledges midwives’ perspectives on their roles in disasters, readiness levels, willingness to volunteer, and institutional support availability. According to the results of the study, the psychological resilience of nurses should be strengthened to increase their preparedness and competence in disasters, undergraduate and graduate-level courses should be given to increase their knowledge and experience, all training given for disasters should be simulation-based and hands-on training, and rotational work assignments should be established in healthcare institutions. CLINICAL

trial registrationNot applicable.

Indexed as

CompetenceDisasterMidwiferyPreparednessQualitative research

Identifiers

PMID41291720
PMCPMC12661865

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.