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A proposed model for establishing regional networks for global mental health research: Lessons from a collaboration across four East African countries

Published online by Cambridge University Press:  19 October 2026

Kim Madundo*
Affiliation:
Psychiatry and Mental Health, Kilimanjaro Christian Medical Centre , United Republic of Tanzania Psychiatry and Mental Health, Kilimanjaro Christian Medical University College , United Republic of Tanzania Duke University Global Health Institute , USA
Robina Momanyi
Affiliation:
Moi Teaching and Referral Hospital , Kenya
Mayanja Kajumba
Affiliation:
Mental Health and Community Psychology, Makerere University College of Health Sciences , Uganda
Augustine Ndaimani
Affiliation:
Centre for Nursing and Midwifery, University of Global Health Equity , Rwanda
Florence Jaguga
Affiliation:
Moi Teaching and Referral Hospital , Kenya
Emily Cherenack
Affiliation:
Duke University Global Health Institute , USA Department of Psychiatry & Behavioural Sciences, Duke University , USA
Emma Mew
Affiliation:
Duke University Global Health Institute , USA
Maeve Salm
Affiliation:
Duke University Global Health Institute , USA
Eve Puffer
Affiliation:
Duke University Global Health Institute , USA Duke University Trinity College of Arts and Sciences, USA
Brandon Knettel
Affiliation:
Duke University Global Health Institute , USA Duke University School of Nursing, USA
*
Corresponding author: Kim Madundo; Email: kim.madundo@duke.edu
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Abstract

Content of image described in text.

The growing burden of mental disorders in sub-Saharan Africa is compounded by limited access to care, under-resourced systems and fragmented research and mentorship efforts. Existing research is often nationally isolated, dependent on unstable external funding and relies on models transposed from high-income countries without sufficient local adaptation. This article proposes a model for establishing regional “South–South” research networks, drawing on lessons from the East African Mental Health Collaborative (EAMHC), a partnership among institutions in Kenya, Rwanda, Tanzania and Uganda, and facilitated by Duke University. Formed in 2024, the EAMHC brings together early- to mid-career researchers and senior mentors to promote cross-country collaboration, mentorship and co-production of research. Using a hybrid structure of annual in-person meetings and monthly virtual engagements, the collaborative network emphasizes joint research output, capacity strengthening and sustainability through shared leadership and cross-learning. Early successes include the submission of three manuscripts and the procurement of two grants. The structure stresses equitable leadership, with East African investigators rotating as site leads to promote institutional ownership and protected research time. This proposed model demonstrates that regional networks can effectively pool limited expertise to develop contextually relevant, evidence-based solutions. By prioritizing bidirectional and peer-led mentorship and harmonized research frameworks, the EAMHC provides a scalable blueprint for strengthening mental health systems and fostering researcher independence in resource-limited settings.

Information

Type
Case Study
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial licence (http://creativecommons.org/licenses/by-nc/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original article is properly cited. The written permission of Cambridge University Press or the rights holder(s) must be obtained prior to any commercial use.
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Figure 1. Conceptual framework for the research collaborative network.Figure 1. long description.

Figure 1

Table 1. East African collaborators’ professional backgrounds and areas of research expertiseTable 1. long description.

Figure 2

Table 2. Goals and target deliverables for the EAMHCTable 2. long description.