Ignite Creation Date:
2024-05-11 @ 8:31 AM
Last Modification Date:
2024-10-26 @ 3:29 PM
Study NCT ID:
NCT06403813
Status:
RECRUITING
Last Update Posted:
2024-05-09
First Post:
2024-05-03
Brief Title:
Adolescent Digital Mental Health-Kenya Effectiveness
Sponsor:
NYU Langone Health
Organization:
NYU Langone Health
Study Overview
Official Title:
Testing the Effectiveness of a Digital Adolescent Behavioral Health Screening Literacy and Low-Intensity Intervention for Common Adolescent Mental Health Problems in Kenya
Status:
RECRUITING
Status Verified Date:
2024-05
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
This study seeks to respond to the growing burden of adolescent mental health disorders and urgent preventive service needs in Kenya by studying the effectiveness of a digital health intervention- mobile health mHealth Toolkit for Screening Empowering Lives of Youth mSELY-that has demonstrated feasibility from our prior pilot study The investigators will build on this work and examine two versions of mSELY The mSELY-A is designed for adolescents to self-evaluate and manage psychological wellbeingmental health needs as well as to gain resources and access and connect with adolescent peers The mSELY-P is designed for parents to self-evaluate their adolescents development and mental health gain awareness about their adolescents mental health status and learn strategies and resources to support adolescents mental health Both versions provide screening tailored mental health literacy materials and decision support for adolescents andor their parents This study will examine the effectiveness of these digital interventions using a randomized control trial with diverse community-based organizations in Kenya In addition the investigators will study underlying mechanisms that contribute to intervention effectiveness as well as to use the data for precision medicine analysis using machine learning approach Findings will be used to improve Digital-Toolkit decision support functions and accuracy of mental health precision care
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None
Secondary IDs
| Secondary ID | Type | Domain | Link |
|---|---|---|---|
| 5R21MH124149 | NIH | None | httpsreporternihgovquickSearch5R21MH124149 |