It is estimated that approximately one in three university students has a mental health problem and between 5-10% have active suicidal ideation. Most college students do not receive professional treatment, which has been associated with structural and attitudinal barriers to help-seeking. Given that young people regularly use the internet to seek information about health problems, internet and digital technology-based interventions could represent an effective approach to overcome attitudinal barriers. The goal of this study is to evaluate the feasibility of a mobile app-based intervention for the promotion of help-seeking in mental health services for university students at risk of suicide. The main questions it aims to answer are: * Is it feasible to implement a mobile app-based intervention for the promotion of mental health help-seeking in a university context? * Is it possible to increase the likelihood of help-seeking in mental health services among university students at risk of suicide through an app-based intervention? Participants will receive a brief contact intervention (via phone call or chat) where they will be assessed by a clinical psychologist, receive information on available support services and instructions to download and use a mobile app called "Take Care of Your Mood". In addition, the participants can request a counseling session with a clinical psychologist. Participants will also receive reminder messages (by email and chat) motivating them to use the app or request a counseling session with a psychologist if they deem it necessary. Researchers will compare this intervention with a brief contact intervention (control group) where participants will be assessed by a clinical psychologist, will receive instructions to download and use the app, but will not receive reminder messages or be able to access a counseling session with a psychologist.
Age range
18 Years
Sex
ALL
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Response, drop-out and adherence rates
Timeframe: 3 months post-randomization
Acceptance
Timeframe: 3 months post-randomization
User Satisfaction
Timeframe: 3 months post-randomization
User Experience
Timeframe: 3 months post-randomization