Evidence map›Paper›PMID 39148499›Full record

ArticleComplex psychiatry

Internet-Based Trauma Recovery Intervention for Nurses: A Randomized Controlled Trial.

Sunah Kim, Jinyoung Park, Wongyeong Lee, Goun Kim

Abstract read
In one paragraph

Article in Complex psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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.

Sunah KimCollege of Nursing and Mo-Im Kim Nursing Research Institute, Yonsei University, Seoul, Republic of Korea.
Jinyoung ParkCollege of Nursing, Yonsei University, Seoul, Republic of Korea.
Wongyeong LeeCollege of Nursing, Yonsei University, Seoul, Republic of Korea.
Goun KimCollege of Nursing and Research Institute of Nursing Science, Pusan National University, Yangsan, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Nurses, who care for patients with various traumas, may also experience post-traumatic stress disorder due to indirect or direct exposure to traumatic situations. This study examined the effectiveness of an Internet-based trauma recovery intervention for Korean nurses. Methods: This randomized controlled trial was conducted with 112 nurses aged 23-40 years who were randomly assigned to the intervention ( Results: There were significant changes in functional health, resilience, post-traumatic stress, depressive symptoms, state anxiety, and trait anxiety over time and in the group-by-time interactions (intention-to-treat and per protocol). There was a significant difference in social support in the group-by-time interactions, but there were no significant changes between the two groups or over time (intention-to-treat and per protocol). Conclusion: The Internet-based trauma recovery nursing intervention is effective in clinical and community settings for nurses who cannot participate in fixed-schedule programs due to shift work. This study's findings are relevant for implementing Internet-based trauma recovery programs for nurses and the general population, including survivors and relatives of patients who suffered from COVID-19. This program will also be very useful for people in other high-stress situations. Nurse leaders should consider different populations and situations when offering effective coping strategies suitable for changing environments.

Indexed as

Internet-based interventionMental health recoveryNursesPsychological trauma

Identifiers

PMID39148499
PMCPMC11324284

What OpenQuestion holds

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LicenceCC BY-NC
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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.