Evaluating the Use of a Computerized CBT Program for Outpatients on a Waitlist in a University CBT Unit.

OBJECTIVES AND DESIGN: The goal of this pilot randomized controlled trial was to determine whether a computerized cognitive-behavioral therapy (cCBT) program for depression and anxiety could reduce symptoms in outpatients on a waitlist for face-to-face CBT for a variety of mental health complaints. METHODS: Sixty-seven outpatients referred for CBT for disparate problems (eg, anxiety, depression, obsessions or compulsions) were randomized to 1 of 2 conditions: (1) the cCBT program "Good Days Ahead," which included weekly guidance and support, or (2) a control condition where patients were referred to a freely available online CBT workbook. Measures of psychological distress were administered at the start of study and at the end of the waiting period, when participants were formally diagnosed and assessed for face-to-face therapy. RESULTS: For the most part, mixed-design analyses of variances revealed no statistically significant changes in symptom measures over time. Nonsignificant interactions and modest effect sizes between groups across time suggest that the cCBT group did not do better than the control group. The majority of cCBT participants reported that the program was "very" or "extremely useful," while only a portion of the control group felt the same about the workbook. There were notable differences in the completion rates of the 2 groups in favor of the cCBT program. CONCLUSIONS: Offering a general cCBT program to waiting list patients may not confer an advantage over referring them to an online workbook, at least in terms of symptom reduction. Results could be partly explained by difficulties translating knowledge into practice, especially if participants' main problem was not directly addressed by the intervention.

The Rise and Fall of Depressive Symptoms and Academic Stress in Two Samples of University Students.

Self-reported depressive experiences are common among university students. However, most studies assessing depression in university students are cross-sectional, limiting our understanding of when in the academic year risk for depression is greatest and when interventions may be most needed. We examined within-person change in depressive symptoms from September to April. Study 1 (N = 198; 57% female; 72% white; Mage = 18.4): Depressive symptoms rose from September, peaked in December, and fell across the second semester. The rise in depressive symptoms was associated with higher perceived stress in December. Study 2 (N = 267; 78.7% female; 67.87% white; Mage = 21.25): Depressive symptoms peaked in December and covaried within persons with perceived stress and academic demands. The results have implications for understanding when and for whom there is increased risk for depressive experiences among university students.