Evidence map›Paper›PMID 38125852›Full record

ArticleFrontiers in public health2023

Job burnout among primary healthcare workers during COVID-19 pandemic: cross-sectional study in China.

Xianming Cai, Tianshuo Zhao, Linyi Chen, Sihui Zhang, Ailing Yu, Xihong Sun, Shengnan Gao, Yuanshan Zhang, Chao Wang, Juan Du and 3 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2023. 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. Observational
  2. Article
  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

13 authors.

Xianming CaiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Tianshuo ZhaoDepartment of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China.
Linyi ChenDepartment of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China.
Sihui ZhangDepartment of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China.
Ailing YuGansu Provincial Center for Disease Control and Prevention, Lanzhou, Gansu, China.
Xihong SunJining Center for Disease Control and Prevention, Jining, Shandong, China.
Shengnan GaoHarbin Nangang Center for Disease Control and Prevention, Harbin, Heilongjiang, China.
Yuanshan ZhangDezhou Lingcheng Center for Disease Control and Prevention, Dezhou, Shandong, China.
Chao WangDepartment of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China.
Juan DuDepartment of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China.
Yaqiong LiuDepartment of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China.
Qing-Bin LuDepartment of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China.
Fuqiang CuiDepartment of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study evaluated job burnout among primary healthcare workers (PHCWs) in China during the COVID-19 pandemic, explored its influencing factors, and examined PHCWs' preferences for reducing job burnout. Method: We conducted a multicenter cross-sectional study in Heilongjiang, Sichuan, Anhui, Gansu, and Shandong Provinces. An electronic questionnaire survey was conducted through convenience sampling in communities from May to July 2022. We collected sociodemographic characteristics, job burnout level, job satisfaction, and preferred ways to reduce job burnout among PHCWs. Results: The job burnout rate among PHCWs in China was 59.87% (937/1565). Scores for each dimension of job burnout were lower among PHCWs who had a better work environment (emotional exhaustion OR: 0.60; depersonalization OR: 0.73; personal accomplishment OR: 0.76) and higher professional pride (emotional exhaustion OR: 0.63; depersonalization OR: 0.70; personal accomplishment OR: 0.44). PHCWs with higher work intensity (emotional exhaustion OR: 2.37; depersonalization OR: 1.34; personal accomplishment OR: 1.19) had higher scores in all job burnout dimensions. Improving work environments and raising salaries were the preferred ways for PHCWs to reduce job burnout. Conclusion: Strategies should be developed to improve job satisfaction among PHCWs, enhance their professional identity, and alleviate burnout to ensure the effective operation of the healthcare system, especially during periods of overwork.

Indexed as

Burnout, ProfessionalCOVID-19ChinaCross-Sectional StudiesEmotional ExhaustionHealth PersonnelHumansPandemicsCOVID-19job burnoutMBI scaleoccupational healthprimary healthcare workers

Identifiers

PMID38125852
PMCPMC10731250

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.