Evidence map›Paper›PMID 33622381›Full record

ArticleInternational journal of mental health systems2021

Cross-sectional study of mental health related knowledge and attitudes among care assistant workers in Guangzhou, China.

Jie Li, Xiao-Ling Duan, Hua-Qing Zhong, Wen Chen, Sara Evans-Lacko, Graham Thornicroft

Open access · goldAbstract read
In one paragraph

Article in International journal of mental health systems, 2021. 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
1.1field-weighted citation impact, top 23% of its field
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, 11 citations in OpenAlex.

  1. Review
  2. Exploring the Factors Associated with Mental Health Attitude in China: A Structural Topic Modeling Approach.International journal of environmental research and public health · 2022
    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 at 5 institutions in 2 countries.

Jie LiThe Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), NO. 36 Mingxin Road, Liwan District, Guangzhou, 510370, China. biglijie@163.com.ORCID http://orcid.org/0000-0001-7156-0687
Xiao-Ling DuanThe Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), NO. 36 Mingxin Road, Liwan District, Guangzhou, 510370, China.
Hua-Qing ZhongThe Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), NO. 36 Mingxin Road, Liwan District, Guangzhou, 510370, China.
Wen ChenFaculty of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen Center for Migrant Health Policy, Sun Yat-Sen University, Guangzhou, China.
Sara Evans-LackoCare Policy Evaluation Centre, London School of Economics and Political Science, London, UK.
Graham ThornicroftCentre for Global Mental Health, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK.
Guangzhou Medical University · CNGuangzhou Psychiatric Hospital · CNKing's College London · GBLondon School of Economics and Political Science · GBSun Yat-sen University · CN

Funding

Medical Research Council MR/R023697/1Medical Research Council MR/S001255/1
6 · The paper itself

Abstract

backgroundCare assistant workers (CAWs) are a part of a new pattern of mental health care providers in China and play a significant role in bridging the human resource shortage. CAWs in China mainly include community cadres, community mental health staff, and community policemen. The mental health related knowledge and attitudes of CAWs could influence their mental health care delivery. This study aimed to assess mental health related knowledge and attitudes of CAWs in Guangzhou, China.

methodsIn November 2017, a study was conducted among 381 CAWs from four districts of Guangzhou, China. Participants were assessed using the Perceived Devaluation and Discrimination Scale (PDD), the Mental Health Knowledge Schedule (MAKS), and the Mental illness: Clinicians' Attitudes (MICA) Scale. Data were analyzed by descriptive statistics, ANOVA, Bonferroni corrections and multivariable linear regression.

resultsThe mean scores (standard deviation) of PDD, MAKS and MICA were 36.45 (6.54), 22.72 (2.56), and 51.67 (7.88), respectively. Univariate analyses showed that the older CAWs, community policemen and those who were less willing to deliver care to people with mental illness had significant higher MICA scores when compared with other staff (P < 0.001). Multivariable linear regression showed that after controlling for key variables, care willingness and PDD total score were positively associated with the MICA total score (all P < 0.05), while attitudes on additional items were significant negatively with the MICA total score (all P < 0.01).

conclusionThese findings suggest negative attitudes towards people with mental disorders among CAWs are common, especially among older staff. Community policemen suggest that they applied stereotypes of "violent mentally ill" people to all people they deal with who have mental disorders. The results also indicate human rights are being paid some attention to now, but need to be further continually improved in the future. Strategies for improving such negative attitudes and reducing the perceived stigma and discrimination should be carried out towards particular staff groups in an anti-stigma programme in Guangzhou, China.

Indexed as

Care assistant workersHuman rightsKnowledge and attitudesLow- and middle-income countriesSevere mental disordersStigma and discrimination

Identifiers

PMID33622381
PMCPMC7903702
OpenAlexW3107309992

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.