Development of a Recommendation Engine to University Student Mental Health Support Aligned With Stepped Care: Longitudinal Cohort Study.

ABSTRACT:

Background

Mental health challenges are prevalent among Canadian higher education students, with significant rates of depression and anxiety often going untreated due to reduced early detection, stigmatizing beliefs, and practical barriers. The U-Flourish longitudinal electronic survey study launched in 2018 engages new cohorts of incoming undergraduate students and repeatedly collects data about mental health and well-being and access to support.

Objective

U-Flourish survey data provide a unique opportunity to train evidence-based prediction risk models and a personalized recommendation engine to signpost students to indicated mental health support based on their own data.

Methods

Two approaches were integrated in developing the risk prediction models and recommendat

SUBMITTER: Velmovitsky P 

PROVIDER: S-EPMC12489415 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature