Evidence map›Paper›PMID 40625840›Full record

ArticleGlobal mental health (Cambridge, England)2025

Validation of the Child Depression Screening Tool in three African settings: Rwanda, Senegal and South Africa.

Sharain Suliman, Jenny Bloom, Naeem Dalal, Eric Remera, Raissa Muvunyi, Mohammed Abdulaziz, Adelard Kakunze, Ismahan Soukeyna Diop, Djena Fafa Cisse, Ndeye Awa Dieye and 4 more

Abstract read
In one paragraph

Article in Global mental health (Cambridge, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

14 authors.

Sharain SulimanMRC Genomics of Brain Disorders Unit and Department of Psychiatry, Stellenbosch University, Cape Town, South Africa.ORCID https://orcid.org/0000-0001-5510-3128
Jenny BloomMRC Genomics of Brain Disorders Unit and Department of Psychiatry, Stellenbosch University, Cape Town, South Africa.
Naeem DalalZambia National Public Health Institute, University of Zambia School of Medicine, Lusaka, Zambia.ORCID https://orcid.org/0000-0003-1647-8482
Eric RemeraRwanda Biomedical Centre, University of Global Health Equity (UGHE), Kigali, Rwanda.
Raissa MuvunyiRwanda Biomedical Centre, University of Global Health Equity (UGHE), Kigali, Rwanda.
Mohammed AbdulazizDivision of Disease Control and Prevention, Africa Centres for Disease Control and Prevention (Africa CDC), Ethiopia.
Adelard KakunzeNon-communicable Diseases (NCDs), Injuries and Mental Health Program, Africa Centres for Disease Control and Prevention (Africa CDC), Ethiopia.
Ismahan Soukeyna DiopDepartment of Psychology, The Cheikh Anta Diop University (UCAD), Dakar, Senegal.
Djena Fafa CisseFaculty of Medicine, The Cheikh Anta Diop University (UCAD), Dakar, Senegal.
Ndeye Awa DieyeFaculty of Medicine, The Cheikh Anta Diop University (UCAD), Dakar, Senegal.
Britt McKinnonUniversity of Montreal, Montreal, QC, Canada.
Mohamadou SallInstitute for Training and Research in Population, Development and Health Reproduction (IPDSR), The Cheikh Anta Diop University (UCAD), Dakar, Senegal.
Agnes BinagwahoDepartment of Pediatrics, University of Global Health Equity, Kigali, Rwanda.
Soraya SeedatMRC Genomics of Brain Disorders Unit and Department of Psychiatry, Stellenbosch University, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The unavailability of reliable, easy-to-use depression screening tools adapted for Sub-Saharan African children is a significant barrier to the treatment of childhood depression. We thus adapted the Child Depression Screening Tool (CDST) to the South African (SA), Senegalese (S) and Rwandan (R) contexts, as a tool to screen for depression in children suffering from chronic illnesses, trauma and difficulties related to COVID-19, family and community hardships. A DSM-5-based diagnostic interview and the CDST screening measure were administered to 1,001 participants aged between 7 and 16 years. The prevalence of depression ranged between 9.5 and 16.8%. It was more prevalent in youth with chronic illness and those exposed to adverse life events. Older age (R and SA), female sex (S), dislike of school (R and SA) and cannabis use (SA) were also associated with worse depression. Receiver operating characteristic analysis showed satisfactory performance (79-89%) and that sensitivity and specificity were optimized at a CDST cut-point of 5.0. The CDST is a valid tool to screen for depression in the settings assessed. If found to be suitable in other countries and settings, it may offer a clinically sound, sustainable path towards the identification of child depression in Africa.

Indexed as

child depressionchild depression screening toolSub-Saharan Africa

Identifiers

PMID40625840
PMCPMC12231306

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.