Evidence map›Paper›PMID 40386433›Full record

ArticleResearch square2025

Adolescents as Co-Designers: How Youth Perspectives Can Shape the Foundation for Mental Health Interventions in Northern Ghana.

Claudia L Leung, Priscilla Kukua Goka, Barnabas Atangongo, Mohammed Mansur Musah Bingle, Ishmael Adu, Abdul Rashid Atchulo, Laud Boateng, Keng-Yen Huang, Neda Laiteerapong, Gbana Limann and 3 more

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Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Claudia L LeungUniversity of Chicago Biological Sciences Division.
Priscilla Kukua GokaUniversity for Development Studies School of Medicine.
Barnabas AtangongoTamale West Hospital.
Mohammed Mansur Musah BingleUniversity for Development Studies School of Medicine.
Ishmael AduUniversity for Development Studies School of Medicine.
Abdul Rashid AtchuloTamale Teaching Hospital.
Laud BoatengNew York University Grossman School of Medicine.
Keng-Yen HuangNew York University Grossman School of Medicine.
Neda LaiteerapongUniversity of Chicago Biological Sciences Division.
Gbana LimannTamale Teaching Hospital.
Anna VolermanUniversity of Chicago Biological Sciences Division.
Peter Mintir AmaduUniversity for Development Studies School of Medicine.
William Frank Hill KoomsonUniversity for Development Studies School of Medicine.

Funding

Addressing the Research Capacity Gap in Global Child and Adolescent Health Disparities Utilizing Implementation and Data Sciences among Vulnerable Populations in Resource-limited Settings (ACHIEVE)D43TW012275 · FIC · WASHINGTON UNIVERSITY · PI Theresa Stichick Betancourt, Mary McKernan McKay · 2022 to 2026
$7.2M
FIC NIH HHS D43 TW012275
6 · The paper itself

Abstract

Background: Adolescents in low- and middle-income countries (LMICs) face significant mental health challenges, yet their voices are often underrepresented in intervention design. Co-design approaches, such as human-centered design, offer a promising approach to tailor interventions to specific needs and context; however, this requires careful adaption in LMICs where resources, design experience, and cultural factors impact engagement and efficacy. This study documents how human-centered design was adapted to engage adolescents in co-designing a school-based mental health intervention, highlighting the contextualization of co-design methods to the Ghanaian sociocultural context and the unique participation of youth. Methods: Guided by the first two phases of human-centered design, we conducted two workshops with 24 students from 12 public senior high schools in Tamale, Ghana. Workshop 1 (Inspiration) explored adolescent perspectives on mental health using structured case-based discussions guided by the Consolidated Framework for Implementation Research (CFIR). Workshop 2 (Ideation) focused on identifying preferred mental health prevention strategies using interactive, choice-based activities. To accommodate cognitive and sociocultural factors, workshops incorporated structured facilitation, visual analogies, peer-driven engagement, and scaffolded decision-making. Qualitative data from discussions, facilitator notes, and artifacts were analyzed thematically. Results: Workshop 1 (Inspiration) identified key adolescent mental health concerns, including stigma, confidentiality fears, and peer and family influences. Gender-segregated discussions provided insights into culturally-specific challenges, such as substance use norms among boys and gendered expectations limiting girls' access to support. Workshop 2 (Ideation) led to the prioritization of five school-based prevention strategies: teacher training, mental health curricular integration, mentorship programs, teaching positive thinking and mindfulness, and using entertainment-based methods for mental health education. Adolescents shifted from viewing mental health challenges as individual struggles to recognizing the role of schools and communities in prevention. An adolescent advisory board was formed to sustain youth engagement in intervention refinement. Conclusions: Contextualized co-design methods can meaningfully engage adolescents in LMICs, leading to culturally grounded and actionable mental health interventions. Structured facilitation enhances the feasibility and authenticity of youth-driven co-design, contributing methodological insights for implementation science in resource-limited settings. This study provides a replicable framework to apply to diverse LMIC contexts and health topics and elevates youth voices in shaping effective, sustainable interventions.

Indexed as

Adolescent mental healthco-designhuman-centered designlow- and middle-income countriesschool-based interventions

Identifiers

PMID40386433
PMCPMC12083651

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LicenceCC BY
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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.