Evidence map›Paper›PMID 31269949›Full record

ArticleBMC health services research2019

The relationship between psychosocial risk factors, burnout and quality of life among primary healthcare workers in rural Guangdong province: a cross-sectional study.

Joseph Obiri Asante, Meng Jie Li, Jing Liao, Yi Xiang Huang, Yuan Tao Hao

Abstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

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

  1. Pooled it
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  16. The Role of Social Support and Sleep Quality in the Psychological Well-Being of Nurses and Doctors.International journal of environmental research and public health · 2024
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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

5 authors.

Joseph Obiri AsanteDepartment of Biostatistics and Epidemiology, School of Public Health, Sun Yat-sen University, 74# Zhongshan 2nd Road Building 20, Guangzhou, Guangdong, People's Republic of China.
Meng Jie LiDepartment of Biostatistics and Epidemiology, School of Public Health, Sun Yat-sen University, 74# Zhongshan 2nd Road Building 20, Guangzhou, Guangdong, People's Republic of China.
Jing LiaoDepartment of Biostatistics and Epidemiology, School of Public Health, Sun Yat-sen University, 74# Zhongshan 2nd Road Building 20, Guangzhou, Guangdong, People's Republic of China.
Yi Xiang HuangDepartment of Health Policy and Management, School of Public Health, Sun Yat-sen University, 74# Zhongshan 2nd Road Building 20, Guangzhou, Guangdong, People's Republic of China. huangyx@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0003-3370-148X
Yuan Tao HaoDepartment of Biostatistics and Epidemiology, School of Public Health, Sun Yat-sen University, 74# Zhongshan 2nd Road Building 20, Guangzhou, Guangdong, People's Republic of China. haoyt@mail.sysu.edu.cn.

Funding

Guangdong science and technology foundation for social science 2016A070705025
6 · The paper itself

Abstract

backgroundHealthcare workers are often exposed to stressful working conditions at work which affect their quality of life. The study investigated the relationship between psychosocial risk factors, stress, burnout, and quality of life among primary healthcare workers in general medical practice in Qingyuan and Chaozhou cities in Guangdong province.

methodThe cross-sectional study was conducted in 108 primary health facilities including 36 community health centers (CHCs) across two developing cities in Guangdong province. A total of 873 healthcare workers completed the questionnaires. Quality of life was evaluated using The World Health Organization Quality of Life Questionnaire (WHOQOL-BREF) and psychological risk factors were evaluated by the Copenhagen Psychosocial Questionnaire (COPSOQ). General quality of life and the quality of life domains were transformed into a score range from minimum 0 to 100 maximum. Higher scores indicated better quality of life and vice versa. Significant associations were verified using multiple regression analysis.

resultsPoor quality of life was observed in 74.6% of healthcare workers surveyed. General poor quality of life was significantly higher among workers who reported higher burnout (Beta = - 0.331, p < 0.001). In addition, workers with high levels of burnout, unmarried workers and female workers had a higher possibility of physical health. A greater risk of poor psychological health was observed among workers with high burnout, poor sense of community and those with lower educational levels. Workers who lacked social support, those with fewer possibilities for development had increased probability of poor quality of life in the social domain. Poor quality of life in the environmental domain was observed among workers who were dissatisfied with their jobs and workers with low salaries.

conclusionsPrimary healthcare workers in developing cities in China have a highly demanding and strained working environment and poor quality of life. Reducing job stress and improving work conditions may ultimately improve the well-being of primary healthcare workers.

Indexed as

Occupational HealthPrimary Health CareAdultBurnout, PsychologicalChinaCross-Sectional StudiesFemaleHealth PersonnelHumansMaleMiddle AgedQuality of LifeRisk FactorsRural PopulationYoung AdultBurnoutCommunity healthcareMedical practicePrimary healthcarePsychosocial risk factorsQuality of life

Identifiers

PMID31269949
PMCPMC6610857

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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.