The UvAcare project: Examining the effectiveness of a web-based intervention for symptoms of depression and/or anxiety in university students.

Conditions: All university (PhD) students at the University of Amsterdam (UvA) with at least mild to moderate symptoms of depression and/or anxiety.<br /><br />

Brief Summary: Van der Heijde, CM., Vonk, P., Meijman. FJ. (2015). Self-regulation for the promotion of student health. Traffic lights: the development of a tailored web-based instrument providing immediate personalized feedback, Health Psychology and Behavioral Medicine, 3:1, 169-189, DOI: 10.1080/21642850.2015.1049950<br><br> Blankers, M., Salemink, E., Wiers, RW. (2015). Cognitive Behavioural Therapy and Cognitive Bias Modification in Internet-Based Interventions for Mood, Anxiety and Substance Use Disorders. Springer International Publishing, 193-215, DOI 10.1007/978-3-319-20852-7_10.

Recruitment & Eligibility

Inclusion Criteria

• Being enrolled as a student or PhD student at the University of Amsterdam (UvA).

• Being 16 years or older

Exclusion Criteria

• Co-morbid recent or current bipolar disorder and/or psychotic disorder according to the Mini-Neuropsychiatric Interview (MINI).

- Active high risk for suicide
• Currently receiving psychological treatment for depression and/or anxiety.

Primary Outcome Measures

Name	Time	Method
The primary outcomes of the RCT are the patient health questionnaire (PHQ-9) for depression and the Generalised Anxiety Disorder – 7 items scale (GAD-7) for anxiety. By using a mixed linear model analysis we will analyse the outcome measures.

Secondary Outcome Measures

Name	Time	Method
The following secondary outcome measures are included in the RCT: drug and alcohol use (DAST-10 and AUDIT-C), client satisfaction with treatment (CSQ), academic achievement (PSS) and self-reported number of European Credit Transfer System (ECTS), Quality of life (EQ-5D), and medical service use (TiC) questionnaires were included to examine the (cost-) effectiveness of the intervention. Treatment adherence was measured with the average number of sessions completed, the number of participants that completed all sessions, time spent per module, and the number of times the participant logged onto the platform. <br>Finally, some potential predictors of outcome are assessed at baseline, i.e., social anxiety (Mini Spin and SIAS-6) and perfectionism (DEQ-SC).