Social Media-Based Professional Intervention vs Resource Provision for Youth With Suicidal Ideation or Behavior:...

Area of Science:

• Digital mental health interventions
• Adolescent and young adult psychology
• Suicide prevention research

Background:

• Adolescents and young adults often face barriers to mental health services, despite high rates of suicidal ideation.
• Social media presents both risks and opportunities for mental health support among young people.
• The Équipe en Ligne de Prévention du Suicide (ELIOS) project uses social media platforms to connect young individuals with suicidal ideation to trained web clinicians.

Purpose of the Study:

• To assess the efficacy of the ELIOS intervention compared to standard mental health resource provision.
• To evaluate ELIOS's ability to reduce suicidal ideation intensity in adolescents and young adults.
• To examine secondary outcomes including suicide attempts, healthcare utilization, and help-seeking attitudes.

Main Methods:

• A single-center, open-label, randomized controlled trial (ORIAS) involving 386 participants aged 18-25 with recent suicidal ideation.
• Participants were randomized to receive either the ELIOS intervention or conventional mental health resources.
• The primary endpoint was the reduction in suicidal ideation intensity at 3 months, measured by the Columbia Suicide Severity Rating Scale.

Main Results:

• The ORIAS study began data collection in October 2022, with recruitment nearing completion (375/386 participants as of December 2025).
• Data analysis is scheduled for April-December 2026, with initial findings expected in early 2027.
• The study is designed to provide robust data on the intervention's impact.

Conclusions:

• ELIOS is a novel suicide prevention system integrated into social media environments, addressing help-seeking barriers for young people.
• The intervention aims to provide accessible, personalized, and timely professional support to reduce suicidality.
• The ORIAS trial, despite challenges in digital research, is expected to yield valuable evidence on the effectiveness of digital suicide prevention models for public health integration.