# PRIDE SSA - Partnerships in Research to Implement and Disseminate Sustainable and Scalable Evidence Based Practices in sub-Saharan Africa.

> **NIH NIH U19** · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · 2020 · $392,874

## Abstract

Global mental health (MH) and substance use disorders prevention, treatment and research gaps require
that efficacious treatments be scaled-up, leveraging existing platforms. In tandem, participation of Ministries
ready to apply evidence-informed policies must sustain them over time. PRIDE SSA may generate templates
for other LMICs by conducting a state of the art scale up study in Mozambique and by establishing a
collaborative research network of nascent research “Seed Teams.” Such “Seed Teams,” trained by the capacity
building component, may work across the region to build capacity and conduct implementation research to
sustainably scale-up MH services. Scale Up Research (Mozambique) in MH and substance use disorders will
evaluate strategies and costs of scaling up an innovative, integrated, sustainable, stepped-care community
approach. We will leverage: (1) Mozambique's task-shifting strategy of training psychiatric technicians (PsyTs)
to provide MH care, (2) the WHO-funded epilepsy community care program successfully implemented in 5
Provinces, now primed for scale-up by the Health Ministry. Our cost-effective approach redefines work roles
without requiring new human resources. Importantly, it comports with the Health Ministry's plan to implement
prevention and treatment for all MH conditions, rather than single disorders. The model employs EBPs (e.g.
Psychopharmacology; Interpersonal Therapy), already in use by PsyTs to: a) establish a sustainable program
delivered and supervised by non-MH professionals, overseen by MH specialists; b) provide community
screening, care and/or referrals for all MH disorders; and c) use implementation tools to monitor sustainability.
This collaborative network will scale-up a cost-effective, sustainable program and inform policy. Capacity
Building Regional Partnerships will leverage well-established capacity building institutions (Foundation for
Professional Development; U of Cambridge; U of Pretoria; Mozambique's Institute of Health Education and
Research) and our Mozambique Fogarty/NIMH MH Implementation Program (partnership: Mozambique
[Ministry of Health; U Eduardo Mondlane]; US [Columbia; U of Pennsylvania]; and Brazil [U Federal do São
Paulo]) to train service providers, investigators and policy-makers from Botswana, Malawi, Mozambique,
South Africa, Zambia. Each country will contribute `seed teams' committed to working together, that include all
actors needed to develop, test, implement and sustain community based MH services using EBPs: 1) new
researchers to conduct MH implementation and dissemination research; 2) policy makers to leverage evidence
generated by local research to improve and test MH policies and programs; 3) trainer-of-trainers to prepare
staff to deliver adapted EBPs that preserve fidelity; and 4) senior-level faculty to develop university programs
to prepare the next generation of investigators. Training comprises synergistic didactics, hands-on research
experience designed in partners...

## Key facts

- **NIH application ID:** 9843267
- **Project number:** 3U19MH113203-03S1
- **Recipient organization:** NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC
- **Principal Investigator:** Maria A Oquendo
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $392,874
- **Award type:** 3
- **Project period:** 2017-05-01 → 2022-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9843267

## Citation

> US National Institutes of Health, RePORTER application 9843267, PRIDE SSA - Partnerships in Research to Implement and Disseminate Sustainable and Scalable Evidence Based Practices in sub-Saharan Africa. (3U19MH113203-03S1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9843267. Licensed CC0.

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