Development of a Recommendation Engine to University Student Mental Health Support Aligned With Stepped Care: Longitudinal Cohort Study
The risk prediction models and recommendation engine's dual approach rationalize support allocation and promote targeted early intervention and prevention, potentially improving capacity to address the increasing burden on university mental health services. Future directions include further refinement based on a larger harmonized and enriched dataset, independent validation, and implementation studies to estimate the complex factors that influence uptake, reach to services, and acceptability across more diverse student users.
Authors
- Joseph Saliba
- Scott B. Patten (ORCID: https://orcid.org/0000-0001-9871-4041)
- Anne Cecilia Duffy (ORCID: https://orcid.org/0000-0002-5895-075X)
- Pedro Elkind Velmovitsky (ORCID: https://orcid.org/0000-0001-7539-3193)
- Nathan King (ORCID: https://orcid.org/0000-0003-4664-5456)
- Kaylen J. Pfisterer (ORCID: https://orcid.org/0000-0002-8853-0705)
- Charles D. G. Keown‐Stoneman (ORCID: https://orcid.org/0000-0001-8790-1589)
- Quỳnh Phạm (ORCID: https://orcid.org/0000-0002-0540-4181)
- Julia Hews‐Girard (ORCID: https://orcid.org/0000-0002-4949-1459)
- Shumit Saha (ORCID: https://orcid.org/0000-0003-2650-084X)
Institutions
- Meharry Medical College (US)
- St. Michael's Hospital (CA)
- University Health Network (CA)
- 3M (United States) (US)
- University of Waterloo (CA)
- University of Ottawa (CA)
- University of Calgary (CA)
- University of Toronto (CA)
- Queen's University (CA)
- Toronto General Hospital (CA)
- Alberta Children's Hospital (CA)
- Regional Municipality of Waterloo (CA)
- University of Oxford (GB)
- St Michael’s Hospital (IE)
- Public Health Ontario (CA)
- St Michael's Hospital (GB)
- Alberta Children's Hospital Research Institute
- Ottawa University (US)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-05-26
- DOI
- https://doi.org/10.2196/72669
- Citations
- 2
- Primary Topic
- Mental Health Treatment and Access
- Type
- article
- Field-Weighted Citation Impact
- 4.88