Evidence map›Paper›PMID 37545784›Full record

ArticleRisk management and healthcare policy2023

Prevalence and Risk Factors Underlying Occupational Stress and Depression Among Clinical Nurses in Secondary and Tertiary Hospitals of China During COVID-19 Setting.

Xiao-Kun Liu, Dan-Ling Huang, Li-Ping Meng, Wei Cheng, Yi-Yi Li, Lu-Lu Qin, Ao Yang, Fan Zeng, Qin Zou, Qi-Fu Li

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

10 authors.

Xiao-Kun Liu *Clinical Psychology Department, The First Affiliated Hospital of Hainan Medical University, Haikou City, Hainan Province, People's Republic of China.
Dan-Ling Huang *Clinical Psychology Department, The First Affiliated Hospital of Hainan Medical University, Haikou City, Hainan Province, People's Republic of China.ORCID 0000-0003-4800-1312
Li-Ping MengClinical Psychology Department, The First Affiliated Hospital of Hainan Medical University, Haikou City, Hainan Province, People's Republic of China.
Wei ChengClinical Psychology Department, The First Affiliated Hospital of Hainan Medical University, Haikou City, Hainan Province, People's Republic of China.ORCID 0000-0002-9345-7688
Yi-Yi LiClinical Psychology Department, The First Affiliated Hospital of Hainan Medical University, Haikou City, Hainan Province, People's Republic of China.
Lu-Lu QinDepartment of Social Medicine and Health Management, School of Medicine, Hunan Normal University, Changsha City, Hunan Province, People's Republic of China.ORCID 0000-0002-7530-7395
Ao YangHealth Management Department, School of Management of Hainan Medical University, Haikou City, Hainan Province, People's Republic of China.
Fan ZengGraduate School of Hainan Medical University, Haikou City, Hainan Province, People's Republic of China.
Qin ZouClinical Psychology Department, The First Affiliated Hospital of Hainan Medical University, Haikou City, Hainan Province, People's Republic of China.
Qi-Fu LiNeurology Department, The First Affiliated Hospital of Hainan Medical University, Haikou City, Hainan Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study was designed to develop an effective measurement tool for occupational stress among medical staff and to identify the underlying risk factors among clinical nurses in China under depression during and after COVID-19. Methods: In the first stage, an occupational stress scale was developed for medical staff based on qualitative and quantitative methods. The dimensions of the scale were based on childhood stress and seven other parameters of working stress. In the second stage, a provincial survey was conducted among clinical nurses in Hainan. The structure of Medical Staff Occupational Stress Scale was tested in secondary and tertiary hospitals. The socio-demographic information, occupational stress (measured using the developed scale), and current depression symptoms (assessed with the nine-item Patient Health Questionnaire) were evaluated. The risk factors for occupational stress-induced depression were tested using multivariate logistic regression. Results: The Medical Staff Occupational Stress Scale consisted of 42 items under eight dimensions with strong reliability and validity. Almost 80% of the clinical nurses reported obvious symptoms of depression. Based on multivariate logistical regression analysis, the significant risk factors for depression in nurses at secondary hospitals and tertiary hospitals were childhood stress, teaching stress, relationship with patient stress, and administration stress. Conclusion: The Medical Staff Occupational Stress Scale utilized in nursing population is based on strong psychometric features. Childhood stress contributes to occupational stress in nurses. The selection of nurses for clinical work may require evaluation of past history for childhood stress to prevent occupational depression. Teaching stress, relationship with patient stress and administration stress play significant roles in the prevention of depression among clinical nurses.

Indexed as

depressionnursesoccupational stressrelationship with patient stressteaching stress

Identifiers

PMID37545784
PMCPMC10404045

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.