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Validation of the Child Depression Screening Tool in three African settings

Rwanda, Senegal and South Africa

Bibliographic Data

ID7148902
AuthorsSharain Suliman (0000-0001-5510-3128, Stellenbosch University, corresponding author), Jenny Bloom (0000-0002-4491-8978, Stellenbosch University), Naeem Dalal (0000-0003-1647-8482, University of Zambia), Eric Remera (0000-0002-6084-8877, University of Global Health Equity), Raissa Muvunyi (0000-0002-2324-3254, University of Global Health Equity), Mohammed Abdulaziz (0000-0003-3809-6063, Africa Centres for Disease Control and Prevention), Adelard Kakunze (0000-0001-5834-7857, Africa Centres for Disease Control and Prevention), Ismahan Soukeyna Diop (0009-0000-2582-0003, Cheikh Anta Diop University), Djena Fafa Cisse (Cheikh Anta Diop University), Ndeye Awa Dieye (Cheikh Anta Diop University), Britt Mckinnon (0000-0002-3109-5474, Université de Montréal), Mohamadou Sall (0000-0002-8384-1686, Cheikh Anta Diop University), Agnes Binagwaho (0000-0002-6779-3151, London School of Hygiene & Tropical Medicine), Soraya Seedat (0000-0002-5118-786X, Stellenbosch University)
Year2025
Volume12
Pagese68-e68
Publication date2025-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCambridge Prisms Global Mental Health (JOURNAL)
Journal identifiersISSN: 2054-4251 • E-ISSN: 2054-4251
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/gmh.2025.10022
PMID40625840
OpenAlexW4411223097
LanguageEN
References cited50

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

Ethnology · Geography · Sociology · South asia · Child and Adolescent Psychosocial and Emotional Development · Maternal Mental Health During Pregnancy and Postpartum · Medicine

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