Evidence map›Paper›PMID 35999643›Full record

ArticleInternational journal of mental health systems2022

Accuracy of a community mental health education and detection (CMED) tool for common mental disorders in KwaZulu-Natal, South Africa.

Merridy Grant, Inge Petersen, Londiwe Mthethwa, Zamasomi Luvuno, Arvin Bhana

Open access · goldAbstract read
In one paragraph

Article in International journal of mental health systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

5 authors at 2 institutions in 1 country.

Merridy GrantCentre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa. Grantm1@ukzn.ac.za.
Inge PetersenCentre 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.
Zamasomi LuvunoCentre 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.
University of KwaZulu-Natal · ZASouth African Medical Research Council · ZA

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 MH113191The National Institute of Mental Health (NIMH) U19MH113191-01
6 · The paper itself

Abstract

backgroundScreening tools for mental health disorders improve detection at a primary health care (PHC) level. However, many people with mental health conditions do not seek care because of a lack of knowledge about mental health, stigma about mental illness and a lack of awareness of mental health services available at a PHC facility level. Interventions at a community level that raise awareness about mental health and improve detection of mental health conditions, are thus important in increasing demand and optimising the supply of available mental health services. This study sought to evaluate the accuracy of a Community Mental Health Education and Detection (CMED) Tool in identifying mental health conditions using pictorial vignettes.

methodsCommunity Health Workers (CHWs) administered the CMED tool to 198 participants on routine visits to households. Consenting family members provided basic biographical information prior to the administration of the tool. To determine the accuracy of the CMED in identifying individuals in households with possible mental health disorders, we compared the number of individuals identified using the CMED vignettes to the validated Brief Mental Health (BMH) screening tool.

resultsThe CMED performed at an acceptable level with an area under the curve (AUC) of 0.73 (95% CI 0.67-0.79), identifying 79% (sensitivity) of participants as having a possible mental health problem and 67% (specificity) of participants as not having a mental health problem. Overall, the CMED positively identified 55.2% of household members relative to 49.5% on the BMH.

conclusionThe CMED is acceptable as a mental health screening tool for use by CHWs at a household level.

Indexed as

Community health workersLow- and middle-income countriesMental healthScreening

Identifiers

PMID35999643
PMCPMC9400279
OpenAlexW4292723150

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.