Evidence map›Paper›PMID 36969614›Full record

ArticleFrontiers in public health2023

Associated factors of burnout among Chinese vaccination staff during COVID-19 epidemic: A cross-sectional study.

Wenwen Gu, Yan Liu, Zhaojun Lu, Jun Wang, Xinren Che, Yuyang Xu, Xuechao Zhang, Jing Wang, Jian Du, Xiaoping Zhang and 1 more

Open access · goldFull text read
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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Wenwen GuDepartment of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China.
Yan LiuDepartment of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China.
Zhaojun LuDepartment of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China.
Jun WangDepartment of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China.
Xinren CheDepartment of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China.
Yuyang XuDepartment of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China.
Xuechao ZhangDepartment of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China.
Jing WangDepartment of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China.
Jian DuDepartment of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China.
Xiaoping ZhangDepartment of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China.
Junfang ChenDepartment of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China.
Hangzhou Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: During the COVID-19 epidemic, vaccination staff had three main aspects of work: routine vaccination for children and adults, COVID-19 vaccination and COVID-19 prevention and control. All these works significantly increased the workload of vaccination staff. This study aimed to investigate the prevalence and influencing factors of burnout among vaccination staff in Hangzhou, China. Methods: A total of 501 vaccination staff from 201 community/township healthcare centers in Hangzhou were recruited using a cross-sectional survey through WeChat social platform. The Maslach Burnout Inventory-General Scale (MBI-GS) was used to assess the level of burnout. Descriptive statistics were made on the characteristics of participants. Univariate analysis using the chi-square test and multivariable analysis using binary logistic regression were conducted to determine the relative predictors of burnout. Univariate analysis and multiple linear regression were used to determine the relative predictors of exhaustive emotion, cynicism, and personal accomplishment. Results: During the COVID-19 pandemic, 20.8% of the vaccination staff experienced burnout. Educational level above undergraduate education level, medium professional title, and more working time in COVID-19 vaccination work reported a higher degree of job burnout. The vaccination staff was experiencing a high degree of exhaustive emotion, cynicism, and low personal accomplishment. Professional title, working place, and working time for COVID-19 vaccination were associated with exhaustive emotion and cynicism. Professional title and participation time for COVID-19 prevention and control were associated with personal accomplishment. Conclusions: Our findings suggest that the prevalence rate of burnout is high among vaccination staff during the COVID-19 pandemic, especially with a low level of personal accomplishment. Psychological intervention for vaccination staff is urgently needed.

Indexed as

Burnout, ProfessionalCOVID-19Health PersonnelVaccinationCOVID-19 VaccinesCross-Sectional StudiesEast Asian PeopleHumansJob SatisfactionPandemicsSurveys and QuestionnairesCOVID-19 VaccinesburnoutChinaCOVID-19prevalencevaccination staff

Identifiers

PMID36969614
PMCPMC10030716
OpenAlexW4323567485

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read179
Read underepoch 390

Registered trials

None linked

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.