Clinical trial NCT06114849: Brief Interventions on Social Media to Reduce Suicide Risk (Intervention 3)
Official title: Analysis of a Peer-to-Peer Support Social Media Platform for Service Members and Veterans of the U.S. Military: Intervention 1 (Professional Outreach)
Study type: INTERVENTIONAL
Overall status: RECRUITING
Phase: NA
Conditions: Suicide
Distress, Emotional
Lead sponsor: Harvard University
Sponsor class: OTHER
First posted: 2023-11-02
Enrollment: 1000
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Allocation: RANDOMIZED
Intervention model: PARALLEL
Primary purpose: PREVENTION

Brief 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 3: Professional Outreach), the investigators will test a psychoeducational intervention aimed at increasing users' likelihood of reaching out to mental health resources (e.g., suicide hotline) when experiencing distress.

Detailed 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: 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 (current intervention): This last intervention will aim to reduce barriers that are inhibiting members in distress from seeking professional mental health support.

Eligibility criteria: Inclusion Criteria:

* Active RallyPoint users who had at least one post flagged by a machine learning risk algorithm for containing concerning language (e.g., descriptions of suicidal thoughts or behaviors).

Exclusion Criteria:

* Active RallyPoint users who have not had any posts flagged by a machine learning risk algorithm.

Primary outcomes:
measure: Number of participants reporting use of resources
timeFrame: 24 hrs post intervention
Secondary outcomes:
Other outcomes:
Locations:
city: Boston
country: United States
facility: RallyPoint Networks, Inc
state: Massachusetts
Study officials:
References: