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Scalable Transdiagnostic Early Assessment of Mental Health (STREAM): a study protocol
Elin H Williams1, Nicholas M Thompson1,2, Gareth McCray3
1Centre for Autism, School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK.
BMJ Open
|June 13, 2024
Summary
The Scalable Transdiagnostic Early Assessment of Mental Health (STREAM) project developed a tablet-based tool for non-specialists to assess child development. This aims to reduce the detection gap in low-resource settings for early intervention.
Area of Science:
- Child development
- Global health
- Digital health
Background:
- Early childhood development is crucial for lifelong functioning.
- Current developmental assessments are time-intensive and require skilled professionals, limiting access in low-resource settings.
- A significant 'detection gap' exists, leaving many children needing support undetected.
Purpose of the Study:
- To develop an open-source, scalable, tablet-based platform for assessing motor, social, and cognitive development in young children.
- To bridge the detection gap by enabling non-specialist workers to conduct assessments.
- To facilitate early interventions through public health initiatives.
Main Methods:
- The STREAM project will assess 4000 children aged 0-6 years in Malawi and India.
- Integrates gamified tasks, observation checklists, parent-reports, and audio-video recordings for motor, social, and cognitive functioning.
- Develops and validates domain scores to create age-adjusted developmental reference curves.
Main Results:
- Domain scores for motor, social, and cognitive functioning will be developed.
- Validity and reliability of these domain scores will be assessed.
- Age-adjusted developmental reference curves will be constructed.
Conclusions:
- The STREAM platform offers a scalable solution for developmental assessment in underserved populations.
- Empowering non-specialist workers can improve early detection and intervention for developmental delays.
- Dissemination of findings will support global child health initiatives.
Keywords:
child & adolescent psychiatrycognitioncommunity child healthmachine learningmental healthpublic health
