Evidence map›Paper›PMID 33892669›Full record

ArticleBMC public health2021

The prevalence and stressors of job burnout among medical staff in Liaoning, China: a cross-section study.

Youqi Guo, Shu Hu, Fei Liang

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Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

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18citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Youqi GuoCollege of the Humanities and Social Sciences, China Medical University, Shenyang, People's Republic of China.
Shu HuCollege of the Humanities and Social Sciences, China Medical University, Shenyang, People's Republic of China.
Fei LiangDepartment of Histology and Embryology, College of Basic Medicine, China Medical University, Shenyang, People's Republic of China. fliang2017@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSustained attention to the prevalence and associated factors of burnout in China is important for the health care service quality and related reform. In this study, we investigated the prevalence of job burnout among medical staff in Liaoning province, China; performed a survey of subjective perception ranking for the main stressors among respondents; estimated the effect of stresses from work tasks and the relationship with patients on job burnout in order to provide improved strategy and suggestion for hospital administrators.

methodsThe respondents were from 8 hospitals in 3 cities in Liaoning province, China. Data were collected and analyzed including the following sections: (1) demographic characteristics; (2) work situations; (3) ranking of six stressors; (4) job burnout scale; (5) effort-reward imbalance scale; (6) work violence scale; (7) fear of malpractice scale. A total of 1056 individuals became the study objects. A statistical analysis and hierarchical linear regression analysis were performed to explore the prevalence of burnout and the effects of stressors.

resultsThe prevalence of job burnout was 20.5, and 72.9% of all respondents reported a least one symptom of burnout. The respondents who were male, 30-39 years old, had a master's degree or high and working hours > 60 h per week, came from obstetrics and gynecology or pediatrics profession prone to job burnout. The relationship with patients and work tasks are the top two ranking stressors in the subjective perception survey. Regression analysis showed that the relationship with patients explained 19.2, 16.8 and 2.0% of variance in burnout subscales EE, DP and PA, respectively and work tasks explained 23.5, 16.0 and 5.24% of variance in burnout subscales EE, DP and PA, respectively.

conclusionThe Chinese medical staff had high prevalence of job burnout. Some factors of demographic and work situations were associated with job burnout. The medical staff considered the relationship with patients and work tasks are the two major stressors. These two stressors are also the major indicators associated with job burnout. The hospital administrators should be aware of the risk of burnout. Efforts should be made to ameliorate the status of job burnout.

Indexed as

Burnout, ProfessionalJob SatisfactionAdultChildChinaCross-Sectional StudiesFemaleHumansMaleMedical StaffPrevalenceSurveys and QuestionnairesBurnoutChinese medical staffFear of malpracticeRelationship with patientsStressorsWorkplace violenceWork tasks

Identifiers

PMID33892669
PMCPMC8062935

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LicenceCC BY
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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.