Brief Interventions on Social Media to Reduce Suicide Risk (Intervention 1)

Suicide Clinical Trial

Official title: Analysis of a Peer-to-Peer Support Social Media Platform for Service Members and Veterans of the U.S. Military: Intervention 1 (Peer Support)

Status Recruiting

Clinical Trial Summary

This clinical trial is part of a series of brief interventions to reduce suicide risk in collaboration with the social media platform RallyPoint, a site specifically designed for U.S. servicemembers and veterans to connect with one another. In this RCT (Intervention 1: Peer Support), the investigators will test a psychoeducational intervention aimed at increasing peer responses to RallyPoint posts that a machine learning risk algorithm developed by the current team has identified for signs of distress (e.g., descriptions of suicidal thoughts and behaviors or other mental health concerns). In this intervention, the investigators will flag these distressed posts and prompt peers to reply to the posts by providing informational blurbs detailing helpful peer responses.

Clinical Trial Description

Both active duty and veterans of the United States military are at elevated risk for the development of psychological disorders such as depression, posttraumatic stress disorder, alcohol and substance use disorders, and suicide. Despite the clear need for psychological interventions for this population, only a small proportion of veterans utilize the Veteran's Affairs Health Care System for psychiatric care. Further, most people who are at-risk for suicide do not present for mental health treatment prior to their deaths. There are several reasons why military personnel may not seek out treatment, including stigma of mental health care, or structural barriers such as availability of treatment. Prior research from the current team comparing Army soldiers who died by suicide to matched control soldiers found that suicide decedents were more likely to perceive concerns that receiving mental health care would hurt their careers, reduce others' confidence in them, or lead others to see them as weak.

To increase the likelihood that veterans and servicemembers receive the help they need, one option is to harness technology to assess and treat mental health concerns outside of traditional healthcare settings. Social media platforms may be a particularly promising avenue for identifying and providing outreach to at-risk individuals, given research suggesting that peer support may be preferable to professional mental health treatment. In fact, a recent survey of military servicemembers conducted by the Defense Equal Opportunity Management Institute, servicemembers indicated that when they are feeling stressed, they prefer to speak with peers or spouses/partners (48-54%) rather than medical or mental health professionals (4-7%). Social media platforms may offer a scalable way of identifying and helping at-risk individuals.

In the current project, the investigators have partnered with the military-specific social media site RallyPoint (www.rallypoint.com) in order to determine how to best support at-risk veterans and servicemembers. The investigators will be testing three brief interventions aimed at connecting RallyPoint users to peer and professional resources:

Intervention 1: Peer support (current intervention): This intervention will aim to improve RallyPoint users' ability to support their peers.

Intervention 2: Stigma-reduction intervention: This intervention will focus on reducing barriers that are inhibiting members in distress from reaching out to their peers.

Intervention 3: Professional Outreach: This last intervention will aim to reduce barriers that are inhibiting members in distress from seeking professional mental health support. ;

Related Conditions & MeSH terms

• Distress, Emotional
• Suicide

• NCT number: NCT06114875
• Study type: Interventional
• Source: Harvard University
• Contact: Kelly Zuromski, Ph.D.
• Phone: 617-475-0595
• Email: kelly_zuromski@fas.harvard.edu
• Status: Recruiting
• Phase: N/A
• Start date: November 20, 2023
• Completion date: May 1, 2024