Evidence map›Paper›PMID 32883399›Full record

SynthesisEpidemiology and psychiatric sciences2020

Core components of mental health stigma reduction interventions in low- and middle-income countries: a systematic review.

J Clay, J Eaton, P C Gronholm, M Semrau, N Votruba

Abstract readSystematic Review
In one paragraph

Synthesis in Epidemiology and psychiatric sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
–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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  7. Exploring the causes of work-related stress and burnout among doctors in Bangladesh: a qualitative study.International journal of qualitative studies on health and well-being · 2026
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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

5 authors.

J ClayCentre for Global Mental Health and Centre for Implementation Science, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0001-7994-7405
J EatonCBM Global and London School of Hygiene and Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0003-2697-4965
P C GronholmCentre for Global Mental Health and Centre for Implementation Science, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.
M SemrauCentre for Global Health Research, Brighton and Sussex Medical School, Brighton, UK.
N VotrubaCentre for Global Mental Health and Centre for Implementation Science, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.

Funding

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

Abstract

aimsTo identify and categorise core components of effective stigma reduction interventions in the field of mental health in low- and middle-income countries (LMICs) and compare these components across cultural contexts and between intervention characteristics.

methodsSeven databases were searched with a strategy including four categories of terms ('stigma', 'mental health', 'intervention' and 'low- and middle-income countries'). Additional methods included citation chaining of all papers identified for inclusion, consultation with experts and hand searching reference lists from other related reviews. Studies on interventions in LMICs aiming to reduce stigma related to mental health with a stigma-related outcome measure were included. All relevant intervention characteristics and components were extracted and a quality assessment was undertaken. A 'best fit' framework synthesis was used to organise data, followed by a narrative synthesis.

resultsFifty-six studies were included in this review, of which four were ineffective and analysed separately. A framework was developed which presents a new categorisation of stigma intervention components based on the included studies. Most interventions utilised multiple methods and of the 52 effective studies educational methods were used most frequently (n = 83), and both social contact (n = 8) and therapeutic methods (n = 3) were used infrequently. Most interventions (n = 42) based their intervention on medical knowledge, but a variety of other themes were addressed. All regions with LMICs were represented, but every region was dominated by studies from one country. Components varied between regions for most categories indicating variation between cultures, but only a minority of studies were developed in the local setting or culturally adapted.

conclusionsOur study suggests effective mental health stigma reduction interventions in LMICs have increased in quantity and quality over the past five years, and a wide variety of components have been utilised successfully - from creative methods to emphasis on recovery and strength of people with mental illness. Yet there is minimal mention of social contact, despite existing strong evidence for it. There is also a lack of robust research designs, a high number of short-term interventions and follow-up, nominal use of local expertise and the research is limited to a small number of LMICs. More research is needed to address these issues. Some congruity exists in components between cultures, but generally they vary widely. The review gives an in-depth overview of mental health stigma reduction core components, providing researchers in varied resource-poor settings additional knowledge to help with planning mental health stigma reduction interventions.

Indexed as

Health Knowledge, Attitudes, PracticeSocial DiscriminationSocial StigmaStereotypingHumansMental DisordersPrimary Health CareDiscriminationmental healthmental illness stigmasystematic reviews

Identifiers

PMID32883399
PMCPMC7503169

What OpenQuestion holds

Textmetadata
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.