Evidence map›Paper›PMID 42466268›Full record

ArticleGlobal mental health (Cambridge, England)2026

Helping to improve demand for mental health services: Reach and adoption of a community mental health education and detection tool by community health workers within routine care in South Africa.

Merridy Grant, Tasneem Kathree, Londiwe Mthethwa, Gillian Faris, Gcina Radebe, Arvin Bhana, André Janse van Rensburg, Zamasomi Prudence Busisi Luvuno, Nikiwe Hongo, Inge Petersen

Abstract read
In one paragraph

Article in Global mental health (Cambridge, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Merridy GrantCurtin EnAble Institute, Curtin University, Australia.ORCID https://orcid.org/0000-0002-7790-5102
Tasneem KathreeCentre for Research in Health systems, School of Medicine, University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0002-8451-9197
Londiwe MthethwaCentre for Research in Health systems, School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
Gillian FarisGill Faris, Cape Town, South Africa.
Gcina RadebeCentre for Research in Health systems, School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
Arvin BhanaCentre for Research in Health systems, School of Medicine, University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0003-4235-0108
André Janse van RensburgCentre for Research in Health systems, School of Medicine, University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0001-8880-2232
Zamasomi Prudence Busisi LuvunoCentre for Research in Health systems, School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
Nikiwe HongoMental Health Directorate, KwaZulu-Natal Department of Health, South Africa.
Inge PetersenCentre for Research in Health systems, School of Medicine, University of KwaZulu-Natal, Durban, South Africa.ORCID https://orcid.org/0000-0002-3573-4229

Funding

Southern African Research Consortium for Mental health INTegration (S-MhINT)-Research and capacity building consortium to strengthen mental health integration in South Africa, Mozambique and Tanzania.U19MH113191 · NIMH · UNIVERSITY OF KWAZULU-NATAL · PI BHANA, ARVIN, PETERSEN, INGE · 2017 to 2022
$3.1M
NIMH NIH HHS U19 MH113191
6 · The paper itself

Abstract

The Community Mental Health Education and Detection (CMED) tool was designed and validated for community health workers (CHWs) in South Africa to promote mental health education, detection and linkage to care for adults at risk of mental health conditions. This study evaluated CMED scale-up using implementation research to understand reach and adoption.Routinely collected CHW data from three scale-up community areas were analysed over six months. Using the Reach and Adoption components of the RE-AIM framework, data included the (i) number of CMED administrations; (ii) proportion of identified presumptive cases; and (iii) proportion of referred cases who received care. These data identified high-and low-adopting CHW teams. Observations and repeated group discussions explored factors influencing adoption. CHWs completed 2,135 CMED administrations. Seventeen percent screened positive and were referred for further assessment at PHC facilities; 62% of those referred presented for assessment, diagnosis, and management. Adoption varied across teams. Barriers included poor data systems and inconsistent supply of mental health services. Supportive leadership and supervision were strong facilitators of adoption. Policy uptake signalled maintenance. Findings suggest the CHW-delivered CMED tool is viable and useful for narrowing the treatment gap by strengthening demand for and access to mental health services.

Indexed as

community health workersdetectionintervention scale-upmental healthreferral

Identifiers

PMID42466268
PMCPMC13373268

What OpenQuestion holds

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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.