Evidence map›Paper›PMID 36128018›Full record

ArticleCollegian (Royal College of Nursing, Australia)2023

Disaster nursing competencies of rural nurses during COVID-19: A cross-sectional study.

Sun Joo Jang, Sunhee Cho

Abstract read
In one paragraph

Article in Collegian (Royal College of Nursing, Australia), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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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

2 authors.

Sun Joo JangRed Cross College of Nursing, Chung-Ang University, Seoul 06974, Korea.
Sunhee ChoDepartment of Nursing, Mokpo National University, 1666 Yeongsan-ro, Cheonggye-myeon, Muan, Jeollanam-do 58555, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although rural nurses' roles are indispensable in coronavirus disease 2019 (COVID-19) management, increased roles, workload, burnout, and reduced job satisfaction can hinder their work, potentially affecting nurses' disaster nursing competencies. Aim: The aim of the study was to identify the predictors of rural nurses' disaster nursing competencies during the COVID-19 pandemic. Methods: Nurses from rural community hospitals in South Korea (N=204) were surveyed during June-July 2021. We used the Professional Quality of Life and Disaster Nursing Preparedness-Response Competencies questionnaires. Multiple regression analysis was performed to identify the predictors of disaster nursing competencies. Findings: The mean score for disaster nursing competency of the 204 participants was 110.80 (standard deviation=19.14). Disaster nursing competencies correlated with age, nursing career, compassion satisfaction, and secondary traumatic stress. Compassion satisfaction (β=.27, Discussion: Our findings imply that increasing opportunities for continuing education regarding disaster nursing is crucial to enhance the related competencies in rural nurses. This study also highlights the necessity for stakeholders to develop programs aimed at increasing rural nurses' compassion satisfaction. Conclusion: Prior disaster nursing education, prior participation in disaster nursing care, and compassion satisfaction predicted disaster nursing competencies among rural nurses, with compassion satisfaction being the strongest predictor.

Indexed as

CompassionDisastersNursesProfessional competenceRural

Identifiers

PMID36128018
PMCPMC9477963

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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.