Evidence map›Paper›PMID 39057544›Full record

ArticleHealthcare (Basel, Switzerland)2024

Factors Influencing Post-Traumatic Stress Disorder in Hospital Clinical Nurses during COVID-19 in Korea: Resilience, Social Support, and Professional Pride in Nursing.

Bomi Kim, Hae Ran Kim, Jae Yong Yoo, Mi Ah Han

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Bomi KimDepartment of Nursing, Chosun University Hospital, Gwangju 61453, Republic of Korea.
Hae Ran KimDepartment of Nursing, Chosun University College of Medicine, Gwangju 61452, Republic of Korea.ORCID 0000-0001-7961-3851
Jae Yong YooDepartment of Nursing, Chosun University College of Medicine, Gwangju 61452, Republic of Korea.ORCID 0000-0002-1212-5121
Mi Ah HanDepartment of Preventive Medicine, Chosun University College of Medicine, Gwangju 61452, Republic of Korea.ORCID 0000-0003-1213-6952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the COVID-19 pandemic, clinical nurses in hospitals in South Korea were exposed to extreme stress, and many continue to suffer from post-traumatic stress disorder (PTSD). This study explores the factors influencing PTSD among hospital clinical nurses during COVID-19. In total, 121 hospital clinical nurses participated in 2022, providing demographic information and completing surveys designed to measure PTSD, resilience, social support, professional pride in nursing (PPN), and variables related to COVID-19. We observed statistically significantly higher levels of resilience (91.48 vs. 70.00), social support (47.37 vs. 35.41), and PPN (88.36 vs. 68.06) in the low-risk PTSD group compared with the high-risk PTSD group. Resilience was associated with a reduced risk of PTSD (OR, 0.91; 95% CI = 0.84-0.98). The subfactors of control (OR = 0.60; 95% CI = 0.43-0.86) and sociability (OR = 0.68; 95% CI = 0.44-0.97) decreased PTSD risk. Among the social support subfactors, family support had an OR of 0.47 (95% CI = 0.26-0.86) for reducing PTSD risk. Programs involving family participation that enhance resilience and provide psychological support can help hospital nurses affected by the COVID-19 pandemic manage their PTSD. Our findings serve as foundational data to develop interventions on psychological well-being for nurses dealing with new infectious diseases.

Indexed as

COVID-19post-traumatic stress disorderprofessional prideresiliencesocial support

Identifiers

PMID39057544
PMCPMC11275385

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LicenceCC BY
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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.