Evidence map›Paper›PMID 36641968›Full record

ArticleAsian journal of psychiatry2023

The trends of burnout among health professionals during the pandemic: Three-wave cross-sectional study.

Zhengshan Qin, Zhehao He, Qinglin Yang, Zeyu Meng, Qiuhui Lei, Jing Wen, Xiuquan Shi, Jun Liu, Zhizhong Wang

Abstract readLetter
In one paragraph

Article in Asian journal of psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Zhengshan QinDepartment of Preventive Medicine, School of Public Health at Zunyi Medical University, Zunyi 56006, PR China. Electronic address: qinzhengshan_zmu@163.com.
Zhehao HeDepartment of Epidemiology and Health Statistics, School of Public Health at Guangdong Medical University, Dongguan 560001, PR China. Electronic address: surfhohzh@gmail.com.
Qinglin YangDepartment of Preventive Medicine, School of Public Health at Zunyi Medical University, Zunyi 56006, PR China. Electronic address: yql835502598@163.com.
Zeyu MengDepartment of Preventive Medicine, School of Public Health at Zunyi Medical University, Zunyi 56006, PR China. Electronic address: mengzeyu1218@126.com.
Qiuhui LeiDepartment of Epidemiology and Health Statistics, School of Public Health at Guangdong Medical University, Dongguan 560001, PR China. Electronic address: leiqiuhui9445@163.com.
Jing WenDepartment of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, PR China. Electronic address: wj952020@163.com.
Xiuquan ShiDepartment of Epidemiology and Health Statistics, School of Public Health, Zunyi Medical University, Zunyi 56006, Guizhou, PR China. Electronic address: xqshi@zmu.edu.cn.
Jun LiuDepartment of Preventive Medicine, School of Public Health at Zunyi Medical University, Zunyi 56006, PR China. Electronic address: liujun_zmc@sina.com.
Zhizhong WangDepartment of Epidemiology and Health Statistics, School of Public Health at Guangdong Medical University, Dongguan 560001, PR China; The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan 523808, PR China. Electronic address: wzhzh_lion@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Burnout, ProfessionalPandemicsBurnout, PsychologicalCross-Sectional StudiesHealth PersonnelHumansSurveys and QuestionnairesBurnoutCOVID-19Cross-sectional studyHealth professionalsMental health

Identifiers

PMID36641968
PMCPMC9832823

What OpenQuestion holds

Textmetadata
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.