Evidence map›Paper›PMID 38993389›Full record

ArticleFrontiers in psychiatry2024

The attitudes of nonpsychiatric nurses towards mental disorders in China.

Qi-Kai Wang, Xu Wang, Ya-Jing Qiu, Wen-Xin Bao, Xia-Can Chen, Jia-Jun Xu

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

6 authors.

Qi-Kai Wang *Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.
Xu Wang *Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.
Ya-Jing QiuWest China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
Wen-Xin BaoMental Health Center, West China Hospital of Sichuan University, Chengdu, China.
Xia-Can ChenWest China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
Jia-Jun XuMental Health Center, West China Hospital of Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Few studies have explored the associated factors of attitudes of nonpsychiatric nurses towards mental disorders. Therefore, this study is aimed to evaluate the attitudes of nonpsychiatric nurses towards mental disorders and especially explore the association between psychiatric clinical practice and these attitudes. Methods: A total of 1324 nonpsychiatric nurses and students majoring in nursing were recruited through an online questionnaire from December 2021 to March 2022 in Sichuan Province, China. Demographic information, personal care experience, psychiatric nursing education and the Community Attitudes towards the Mentally Ill (CAMI) were collected. A higher score indicates a stigmatizing attitude in the authoritarianism and social restrictiveness (SR) subscales and a positive attitude in the benevolence and community mental health ideology (CMHI) subscales. Multivariate linear regression was employed to analyze associated factors of attitudes towards mental disorders, and hierarchical linear regression was used to analyze the association between psychiatric clinical practice and the attitudes towards mental disorders. Results: Under the control of confounders, high education level, long residence in urban and personal care experience were positively correlated with score of authoritarianism and SR ( Conclusions: High education level, long residence in urban, personal care experience and the psychiatric clinical practice were associated with the discrimination of nonpsychiatric nurses towards mental disorders. Further exploring practical strategies to optimize the psychiatric clinical practice experience of nonpsychiatric nurses could help improve their attitudes towards mental disorders.

Indexed as

Chinamental healthnursesnursing education researchsocial stigma

Identifiers

PMID38993389
PMCPMC11236610

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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.