Implementation Supports for Improving Identification and Delivery of School-based Mental Health Supports for Middle Schools Students
- Disease/Condition
- Mental Health Issue
- Drug/Device/Intervention
- EIS Only
- Study type
- Interventional
- Intervention type
- behavioral
- Primary sponsor
- University of Virginia
- Location
- Columbia,Columbia,Charlottesville, United States of America
- Phase
- N/A
- Start date
- Sep 01, 2023
- End date
- Jul 01, 2025
- Enrollment
- 21350 participants
Change in youth mental health measured by the Early identification System,Change in staff knowledge of evidence-based school mental health practices as measured by the Perceptions of Response To Intervention Skills Survey,Change in staff behaviors of evidence-based school mental health practices as measured by the Perceptions of Practices Survey,Change in staff burnout as measured by the Maslach Burnout Inventory,Change in schoolwide school mental health implementation outcomes as measured by the School-wide Evaluation Tool,Change in schoolwide school mental health implementation outcomes as measured by the Individual School-wide Evaluation Tool
This study will assess how different types of training and support influence the way that
 school staff understand, and respond to, the mental and behavioral health needs of middle
 school students. Researchers will work with middle schools using a developed screening system
 (called the Early Identification System; EIS) and compare how staff and student outcomes
 change when schools receive two different types of training and support: 1) standard
 onboarding/training versus 2) participating in professional learning communities and
 coaching.
- Registry
- ClinicalTrials.gov
- Trial ID
- NCT06047041
- Type
- Non-Device Trial
Access comprehensive clinical trial information for NCT06047041 through Pure Global AI's free database. This phase not specified trial is sponsored by University of Virginia and is currently Recruiting. The study focuses on Mental Health Issue. Target enrollment is 21350 participants.
This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.