Transitions to campus mental health care in university students: Determinants and predictors.
Autor: | Patten, Scott B., King, Nathan, Munir, Amlish, Bulloch, Andrew G. M., Devoe, Dan, Rivera, Daniel, Byun, Jin, Cunningham, Simone, Dimitropoulos, Gina, Bhattarai, Asmita, Duffy, Anne |
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Předmět: |
HEALTH services accessibility
MEDICAL care use STATISTICAL models SELF-evaluation MENTAL health services STUDENT health services RESEARCH funding PREDICTION models MENTAL health UNDERGRADUATES QUESTIONNAIRES LOGISTIC regression analysis HEALTH DESCRIPTIVE statistics TRANSITIONAL care LONGITUDINAL method ODDS ratio ELECTRONIC health records COLLEGE students CONFIDENCE intervals ALGORITHMS |
Zdroj: | Journal of American College Health; Nov2024, Vol. 72 Issue 8, p2455-2462, 8p |
Abstrakt: | Background: Access to university mental health services is poorly characterized. Our objectives were to (1) assess patterns of access and (2) explore predictability of contact with student mental health services. Participants: Data derived from the U-Flourish study, which includes a survey of successive cohorts of incoming undergraduate students attending Queen's University, located in Ontario, Canada (Cohort 1: 2018, Cohort 2: 2019). Methods: Survey data sets were deterministically linked to administrative data provided by Student Wellness Services. Analyses included cross-tabulation, logistic and negative binomial regression. Predictive modeling used LASSO regression. Results: Baseline symptoms were robust determinants of access. For example, a PHQ-9 rating in the severe range (≥ 20) was associated with an OR of 9.71 (95% CI: 4.46–21.1). A predictive algorithm did not outperform cut point-based interpretation of PHQ-9 or GAD-7 ratings. Conclusions: Self-reported symptoms are consistently associated with service use, supporting the widespread use of symptom screens. [ABSTRACT FROM AUTHOR] |
Databáze: | Complementary Index |
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