Data-driven supervision to optimize the effectiveness of proactive case detection for mental health care among children: a proof-of-concept study

Data-driven supervision to optimize the effectiveness of proactive case detection for mental health care among children: a proof-of-concept study

This proof-of-concept study evaluated an optimization strategy for the Community Case Detection Tool (CCDT) aimed at improving community-level mental health detection and help-seeking among children aged 6–18 years. The optimization strategy, CCDT+, combined data-driven supervision with motivational...

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Bibliographic Details
Main Authors: Myrthe van den Broek, M. Claire Greene, Anthony F. Guevara, Sandra Agondeze, Erimiah Kyanjo, Olivier Irakoze, Rosco Kasujja, Brandon A. Kohrt, Mark J. D. Jordans
Format: Article
Language:English
Published: Cambridge University Press 2025-01-01
Series:Cambridge Prisms: Global Mental Health
Subjects:
proof-of-concept
proactive case detection
optimization strategy
dashboard
sub-Saharan Africa
child and adolescent mental health
Online Access:https://www.cambridge.org/core/product/identifier/S205442512400150X/type/journal_article
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https://www.cambridge.org/core/product/identifier/S205442512400150X/type/journal_article

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