Williams, Elin H, Thompson, Nicholas M, McCray, Gareth, Crespo-Llado, Maria M 
ORCID: 0000-0003-1409-8689, Bhavnani, Supriya, Gajria, Diksha, Mukherjee, Debarati, Del Bianco, Teresa, Lockwood-Estrin, Georgia, Mason, Luke et al (show 21 more authors)
(2024)
Scalable Transdiagnostic Early Assessment of Mental Health (STREAM): a study protocol.
BMJ open, 14 (6).
e088263-e088263.
ISSN 2044-6055, 2044-6055
Abstract
<h4>Introduction</h4>Early childhood development forms the foundations for functioning later in life. Thus, accurate monitoring of developmental trajectories is critical. However, such monitoring often relies on time-intensive assessments which necessitate administration by skilled professionals. This difficulty is exacerbated in low-resource settings where such professionals are predominantly concentrated in urban and often private clinics, making them inaccessible to many. This geographic and economic inaccessibility contributes to a significant 'detection gap' where many children who might benefit from support remain undetected. The Scalable Transdiagnostic Early Assessment of Mental Health (STREAM) project aims to bridge this gap by developing an open-source, scalable, tablet-based platform administered by non-specialist workers to assess motor, social and cognitive developmental status. The goal is to deploy STREAM through public health initiatives, maximising opportunities for effective early interventions.<h4>Methods and analysis</h4>The STREAM project will enrol and assess 4000 children aged 0-6 years from Malawi (n=2000) and India (n=2000). It integrates three established developmental assessment tools measuring motor, social and cognitive functioning using gamified tasks, observation checklists, parent-report and audio-video recordings. Domain scores for motor, social and cognitive functioning will be developed and assessed for their validity and reliability. These domain scores will then be used to construct age-adjusted developmental reference curves.<h4>Ethics and dissemination</h4>Ethical approval has been obtained from local review boards at each site (India: Sangath Institutional Review Board; All India Institute of Medical Science (AIIMS) Ethics Committee; Indian Council of Medical Research-Health Ministry Screening Committee; Malawi: College of Medicine Research and Ethics Committee; Malawi Ministry of Health-Blantyre District Health Office). The study adheres to Good Clinical Practice standards and the ethical guidelines of the 6th (2008) Declaration of Helsinki. Findings from STREAM will be disseminated to participating families, healthcare professionals, policymakers, educators and researchers, at local, national and international levels through meetings, academic journals and conferences.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | mental health, cognition, machine learning, community child health, child & adolescent psychiatry, public health |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 25 Jun 2024 08:49 |
| Last Modified: | 28 Feb 2026 01:33 |
| DOI: | 10.1136/bmjopen-2024-088263 |
| Open Access URL: | https://europepmc.org/backend/ptpmcrender.fcgi?acc... |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3182399 |
| Disclaimer: | The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate. |
Altmetric
Altmetric