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Harnessing Mobile Technology to Reduce Mental Health Disorders in College Populations

ClinicalTrials.gov · COMPLETED, 2023

6,205 participants

Abstract

The prevalence of mental health problems among college populations has risen steadily in recent decades, with one third of today's students struggling with anxiety, depression, or an eating disorder (ED). Yet, only 20-40% of college students with mental disorders receive treatment. Inadequacies in mental health care delivery result in prolonged illness, disease progression, poorer prognosis, and greater likelihood of relapse, highlighting the need for a new approach for detecting mental health problems and engaging college students in services. The investigators have developed a transdiagnostic, low-cost mobile health targeted prevention and intervention platform that uses population-level screening for engaging college students in tailored services that address common mental health problems. This care delivery system represents an ideal model given its use of evidence-based mobile programs, a transdiagnostic approach that addresses comorbid mental health issues, and personalized screening and intervention to increase service uptake, enhance engagement, and improve outcomes. Further, this service delivery model harnesses the expertise of an interdisciplinary team of behavioral scientists, college student mental health scholars, technology researchers, and health economists. This work bridges the study team's collective leadership over the past 25 years in successfully implementing a population-based screening program in more than 160 colleges and demonstrating the…

How strong is the evidence?

Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 6,205 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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