Evidence map›Paper›PMID 38387986›Full record

ArticleBMJ open2024

Post-traumatic growth among emergency nurses after COVID-19 in Shanghai, China: a qualitative study.

Jinxia Jiang, Yue Liu, Peng Han, Pengjia Zhang, Haiyan Shao, Zhenjuan Dai, Yugang Zhuang

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 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

7 authors.

Jinxia Jiang *Emergency Department, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID 0000-0002-6999-1709
Yue Liu *Emergency Department, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Peng HanEmergency Department, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Pengjia ZhangEmergency Department, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Haiyan ShaoEmergency Department, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Zhenjuan DaiEmergency Department, Song Jiang District Central Hospital, Shanghai, China zyg7597@163.com dzj851@163.com dzj851@163.com.
Yugang ZhuangEmergency Department, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China zyg7597@163.com dzj851@163.com dzj851@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to investigate the post-traumatic growth of emergency nurses (ENs) in Shanghai, China, in 2022 following the COVID-19 pandemic.

designA phenomenological qualitative research approach was employed, with 17 ENs being interviewed between July and August 2022. Data collection was conducted through semistructured, in-depth interviews, and data analysis was carried out using the Colaizzi's seven-step analysis method.

settingA third-level hospital in Shanghai.

participantsA total of 17 ENs were interviewed through face-to-face, semistructured, in-depth interviews.

resultsThree main themes and eight subthemes were extracted from the data: (a) stress, (b) restructuring and (c) growth.

conclusionSignificant stress was imposed on ENs by the Shanghai COVID-19 pandemic, but cognitive restructuring was successfully undergone by them, leading to the experience of growth. It is recommended that post-traumatic growth levels be enhanced through professional psychological counselling and tailored support measures for different stages.

Indexed as

COVID-19NursesPosttraumatic Growth, PsychologicalChinaHumansPandemicsQualitative ResearchEmergency nursesInterventional strategiesPost-traumatic growthQualitative researchShanghai COVID-19 pandemic

Identifiers

PMID38387986
PMCPMC10882300

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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.