Evidence map›Paper›PMID 38903557›Full record

ArticleSSM. Mental health2023

The feasibility of a Community Mental Health Education and Detection (CMED) tool in South Africa.

Merridy Grant, Arvin Bhana, Tasneem Kathree, Nonkululeko Khuzwayo, André J van Rensburg, Londiwe Mthethwa, Sithabisile Gigaba, Ellen Ntswe, Zamasomi Luvuno, Inge Petersen

Abstract read
In one paragraph

Article in SSM. Mental health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

10 authors.

Merridy GrantCentre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
Arvin BhanaCentre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
Tasneem KathreeCentre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
Nonkululeko KhuzwayoCentre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
André J van RensburgCentre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
Londiwe MthethwaCentre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
Sithabisile GigabaCentre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
Ellen NtsweCentre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
Zamasomi LuvunoCentre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
Inge PetersenCentre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.

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 PETERSEN, INGE · 2017 to 2022
$3.1M
NIMH NIH HHS U19 MH113191
6 · The paper itself

Abstract

Background: Poor mental health literacy, misinformation about treatment and stigma result in low demand for mental health services in low-and middle-income countries. Community-based interventions that raise mental health awareness and facilitate detection of mental health conditions, are instrumental in increasing demand through strengthened mental health literacy, as well as supply of available mental health services through strengthened detection and linkage to care. Objective: To assess the feasibility of a Community Mental Health Education and Detection Tool (CMED) for use with household members by community health teams in South Africa. Methods: The feasibility of using the CMED in households was assessed using Bowen et al.'s framework which informed the study design, interview tools and analysis. The feasibility study involved four phases: (1) observations of the CMED consultation to evaluate the administration of the tool; (2) semi-structured interviews with household member/s after the CMED was administered to explore experiences of the visit; (3) follow-up interviews of household members referred using the CMED tool to assess uptake of referrals; (4) and weekly focus group discussions with the community health team to explore experiences of using the tool. Framework analysis was used to inform Results: The CMED was found to be acceptable by both community health teams and household members, demand for the tool was evident, implementation, practicality and integration within the existing health system were also indicated. Conclusion: The CMED is perceived as feasible by household members and community health teams, suggesting a 'goodness of fit" within the existing health system.

Indexed as

Community health workersFeasibilityLow- and middle-income countriesMental healthPsychoeducationScreening

Identifiers

PMID38903557
PMCPMC11189615

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.