Evidence map›Paper›PMID 38721485›Full record

ArticleGlobal mental health (Cambridge, England)2024

Status and influencing factors of nurses' burnout: A cross-sectional study during COVID-19 regular prevention and control in Jiangsu Province, China.

Xiaofei Mao, Tianya Hou, Hao Wang, Yun Tang, Chunyan Ni, Yulin Zhang, Jianguo Zhang, Wenxi Deng, Liqing Chen, Xingxing Wang and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Global mental health (Cambridge, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

14 authors.

Xiaofei MaoFaculty of Psychology, Naval Medical University, Shanghai, China.
Tianya HouFaculty of Psychology, Naval Medical University, Shanghai, China.
Hao WangDepartment of Urology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Yun TangNursing Department, Suzhou Hospital (Affiliated Hospital of Medical School), Nanjing University, Suzhou, China.
Chunyan NiNursing Department, Suzhou Hospital (Affiliated Hospital of Medical School), Nanjing University, Suzhou, China.
Yulin ZhangNational Key Laboratory of Human Factors Engineering, Beijing, China.
Jianguo ZhangFaculty of Psychology, Naval Medical University, Shanghai, China.
Wenxi DengFaculty of Psychology, Naval Medical University, Shanghai, China.
Liqing ChenDepartment of Obstetrics, Suzhou Hospital (Affiliated Hospital of Medical School), Nanjing University, Suzhou, China.
Xingxing WangNational Key Laboratory of Human Factors Engineering, Beijing, China.
Ziqiang LiFaculty of Psychology, Naval Medical University, Shanghai, China.
Yan JiaChangshu Hospital Affiliated to Nanjing University of Traditional Chinese Medicine, Changshu, China.
Wei DongFaculty of Psychology, Naval Medical University, Shanghai, China.ORCID https://orcid.org/0000-0002-8000-7944
Xing QianNursing Department, Suzhou Hospital (Affiliated Hospital of Medical School), Nanjing University, Suzhou, China.ORCID https://orcid.org/0009-0006-0157-3670

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chinese nurses working with immense stress may have issues with burnout during COVID-19 regular prevention and control. There were a few studies investigating status of burnout and associated factors among Chinese nurses. However, the relationships remained unclear. Objectives: To investigate status and associated factors of nurses' burnout during COVID-19 regular prevention and control. Methods: 784 nurses completed questionnaires including demographics, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Insomnia Severity Index, Impact of Event Scale-revised, Perceived Social Support Scale, Connor-Davidson Resilience Scale, General Self-efficacy Scale and Maslach Burnout Inventory. Results: 310 (39.5%), 393 (50.1%) and 576 (73.5%) of respondents were at high risk of emotional exhaustion (EE), depersonalization (DP) and reduced personal accomplishment (PA). The risk of EE, DP and reduced PA were moderate, high and high. Nurses with intermediate and senior professional rank and title and worked >40 h every week had lower scores in EE. Those worked in low-risk department reported lower scores in PA. Anxiety, post-traumatic stress disorder (PTSD), self-efficacy and social support were influencing factors of EE and DP, while social support and resilience were associated factors of PA. Conclusion: Chinese nurses' burnout during COVID-19 regular prevention and control was serious. Professional rank and title, working unit, weekly working hours, anxiety, PTSD, self-efficacy, social support and resilience were associated factors of burnout.

Indexed as

burnoutChinaCOVID-19 regular prevention and controlinfluencing factornurse

Identifiers

PMID38721485
PMCPMC11076924

What OpenQuestion holds

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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.