Evidence map›Paper›PMID 31300500›Full record

ArticleBMJ open2019

Associative stigma among mental health professionals in Singapore: a cross-sectional study.

Louisa Picco, Sherilyn Chang, Edimansyah Abdin, Boon Yiang Chua, Qi Yuan, Janhavi Ajit Vaingankar, Samantha Ong, Kah Lai Yow, Hong Choon Chua, Siow Ann Chong and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  9. The effects of inpatient suicide on nurses at Weskoppies Hospital: A qualitative study.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2024
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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

11 authors.

Louisa PiccoResearch Division, Institute of Mental Health, Singapore, Singapore.
Sherilyn ChangResearch Division, Institute of Mental Health, Singapore, Singapore.
Edimansyah AbdinResearch Division, Institute of Mental Health, Singapore, Singapore.
Boon Yiang ChuaResearch Division, Institute of Mental Health, Singapore, Singapore.
Qi YuanResearch Division, Institute of Mental Health, Singapore, Singapore.
Janhavi Ajit VaingankarResearch Division, Institute of Mental Health, Singapore, Singapore.
Samantha OngNursing, Institute of Mental Health, Singapore, Singapore.
Kah Lai YowAllied Health, Institute of Mental Health, Singapore, Singapore.
Hong Choon ChuaChief Executive Office, Institute of Mental Health, Singapore, Singapore.
Siow Ann ChongResearch Division, Institute of Mental Health, Singapore, Singapore.
Mythily SubramaniamResearch Division, Institute of Mental Health, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectives(1) Investigate and explore whether different classes of associative stigma (the process by which a person experiences stigmatisation as a result of an association with another stigmatised person) could be identified using latent class analysis; (2) determine the sociodemographic and employment-related correlates of associative stigma and (3) examine the relationship between associative stigma and job satisfaction, among mental health professionals.

designCross-sectional online survey.

participantsDoctors, nurses and allied health staff, working in Singapore.

methodsStaff (n=462) completed an online survey, which comprised 11 associative stigma items and also captured sociodemographic and job satisfaction-related information. Latent class analysis was used to classify associative stigma on patterns of observed categorical variables. Multinomial logistic regression was used to examine associations between sociodemographic and employment-related factors and the different classes, while multiple linear regression analyses were used to examine the relationship between associative stigma and job satisfaction.

resultsThe latent class analysis revealed that items formed a three-class model where the classes were classified as 'no/low associative stigma', 'moderate associative stigma' and 'high associative stigma'. 48.7%, 40.5% and 10.8% of the population comprised no/low, moderate and high associative stigma classes, respectively. Multinomial logistic regression showed that years of service and occupation were significantly associated with moderate associative stigma, while factors associated with high associative stigma were education, ethnicity and occupation. Multiple linear regression analyses revealed that high associative stigma was significantly associated with lower job satisfaction scores.

conclusionAssociative stigma was not uncommon among mental health professionals and was associated with sociodemographic factors and poorer job satisfaction. Associative stigma has received comparatively little attention from empirical researchers and continued efforts to address this understudied yet important construct in conjunction with future efforts to dispel misconceptions related to mental illnesses are needed.

Indexed as

Mental DisordersSocial StigmaAdultCross-Sectional StudiesFemaleHealth PersonnelHumansJob SatisfactionLatent Class AnalysisMaleMental Health ServicesMiddle AgedRegression AnalysisSingaporeYoung Adultallied health staffassociative stigmadoctorslatent class analysismental healthnurses

Identifiers

PMID31300500
PMCPMC6629392

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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 OpenQuestion graph.