Evidence map›Paper›PMID 33868823›Full record

ArticlePeerJ2021

Mental health service use and its associated factors among nurses in China: a cross-sectional survey.

Yusheng Tian, Yuchen Yue, Xiaoli Liao, Jianjian Wang, Man Ye, Yiting Liu, Yamin Li, Jiansong Zhou

Abstract read
In one paragraph

Article in PeerJ, 2021. 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

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

8 authors.

Yusheng TianDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Yuchen YueDepartment of Psychiatry at the Center for Addiction & Mental Health, University of Toronto, Toronto, Ontario, Canada.
Xiaoli LiaoXiang Ya Nursing School, Central South University, Changsha, Hunan, China.
Jianjian WangDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Man YeClinical Nursing Teaching and Research Section, The second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Yiting LiuClinical Nursing Teaching and Research Section, The second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Yamin LiClinical Nursing Teaching and Research Section, The second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Jiansong ZhouDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo facilitate mental health service planning for nurses, data on the patterns of mental health service use (MHSU) among nurses are needed. However, MHSU among Chinese nurses has seldom been studied. Our study aimed to explore the rate of MHSU among Chinese nurses and to identify the factors associated with MHSU.

methodsA self-designed anonymous questionnaire was used in this study. MHSU was assessed by the question, "Have you ever used any kind of mental health services, such as mental health outpatient services or psychotherapies, when you felt that your health was suffering due to stress, insomnia, or other reasons?" The answer to the question was binary (yes or no). Sleep quality, burnout, and depressive symptoms were assessed using the Chinese version of the Pittsburgh Sleep Quality Index , the Chinese version of the Maslach Burnout Inventory-General Survey and the two-item Patient Health Questionnaire, respectively. Chi-square tests and binary logistic regression were used for univariate and multivariate analyses.

resultsA total of 10.94% (301/2750) of the nurses reported MHSU. 10.25% (282/2750) of the nurses had poor sleep quality, burnout and depressive symptoms, and only 26.95% of these nurses reported MHSU. Very poor sleep quality (OR 9.36, 95% CI [5.38-16.29]), mid-level professional title (OR 1.48, 95% CI [1.13-1.93]) and depressive symptoms (OR 1.66, 95% CI [1.28-2.13]) were independent factors associated with MHSU.

conclusionsMost of the nurses have experienced burnout, poor sleep quality or depressive symptoms and the MHSU rate among them was low. Interventions to improve the mental health of nurses and to promote the use of mental health services are needed.

Indexed as

BurnoutDepressionMental health service useNurseSleep quality

Identifiers

PMID33868823
PMCPMC8029656

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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.