Translating Evidence for Early Intervention in Psychosis (TRANSLATE) in Low and Lower-Middle Income Countries (LMIC): Implementation and Evaluation

About this project

The study aims to implement and evaluate an early intervention in the psychosis service model and develop a clinical tool to predict the risk of treatment-resistant schizophrenia using a pragmatic mixed-methods implementation and evaluation study design. This project is a joint venture of KMU in collaboration with Keele University, UK, and the Institute for Research and Development in Srilanka. TRANSLATE is awarded as part of Prof Saeed Farooq’s prestigious NIHR (National Institute for Health and Care Research) Global Research Professorship. The aims of the study are 1).To implement a culturally sensitive EIP service in Pakistan and Srilanka based on recent guidelines for managing FEP adopted for LMIC settings. 2).To evaluate the implementation of EIP in maintaining engagement with the services, achieving remission in FEP, and other relevant implementation outcomes. 3). To assemble a cohort of FEP within the EIP service and identify potential predicting factors of TRS at one-year follow-up. 4).To develop a prognostic model for estimating an individual's risk of treatment resistance at one year and to undertake the validation of the model's predictive performance. 5).To identify barriers and facilitators for the scale-up of the EIP at regional and international levels. 6).To build capacity for implementation research and service development for youth mental health in LMIC. The anticipated impact will involve Key outputs from TRANSLATE (Guidelines on the management of FEP, EIP…

Published by

Academic, Training and Research · Academic, training and research

Countries

Pakistan

Sectors

Medical research

Funded by

Department of Health and Social Care

Implemented by

Kyber Medical University

Accountable

Keele University

Published by Academic, Training and Research to the International Aid Transparency Initiative (IATI), last updated 4 Aug 2025 and imported automatically. IATI identifier: PK-NTN-9051408-4-TRANSLATE.

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