Evidence map›Paper›PMID 35434931›Full record

ArticleNursing open2022

Influencing factors of burnout and its dimensions among mental health workers during the COVID-19 pandemic.

Hongjin Zhu, Shiqi Xie, Xiaolin Liu, Xiaoyun Yang, Jianrong Zhou

Abstract read
In one paragraph

Article in Nursing open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. The impact of COVID-19 on the mental health workforce: A rapid review.International journal of mental health nursing · 2023
    Pooled it
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  12. Fear of COVID-19 Impact on Professional Quality of Life among Mental Health Workers.International journal of environmental research and public health · 2022
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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.

Hongjin ZhuNursing College, Chongqing Medical University, Chongqing, China.ORCID 0000-0002-6341-0280
Shiqi XieNursing College, Chongqing Medical University, Chongqing, China.
Xiaolin LiuChongqing Mental Health Center, Chongqing, China.
Xiaoyun YangNursing College, Chongqing Medical University, Chongqing, China.
Jianrong ZhouNursing College, Chongqing Medical University, Chongqing, China.ORCID 0000-0002-3612-1264

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo examine the demographic and work characteristics of mental health workers associated with burnout during the COVID-19 epidemic and to examine the relationship between burnout and humanistic care ability.

designOnline cross-sectional design.

methods270 mental health workers in Chongqing, China, were recruited via WeChat from 1 to 31 December 2020. Online self-administered questionnaires were used to collect data. Data were analyzed by t-tests and one-way analyses of variance, Pearson's correlation analysis, and multiple linear regression analysis.

resultsDuring the COVID-19 pandemic, mental health workers had a high prevalence of burnout and a low level of humanistic care ability. Work factors including profession, work shift, work pressure, work-family conflict, practice environment satisfaction, salary satisfaction, and humanistic care ability were significantly associated with burnout and its subdimension.

Indexed as

Burnout, ProfessionalCOVID-19Burnout, PsychologicalCross-Sectional StudiesHumansMental HealthPandemicsburnoutCOVID-19depersonalizationemotional exhaustionhumanistic care abilitymental health workerspersonal accomplishment

Identifiers

PMID35434931
PMCPMC9190698

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.