Analysis of a Peer-to-Peer Support Social Media Platform for Service Members and Veterans of the U.S. Military: Intervention 1 (Peer Support)
试验速览
- 阶段
- 不适用
- 状态
- 终止
- 入组人数
- 942
- 试验地点
- 2
- 主要终点
- Number of replies to peers' posts
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Prevention
- 盲法
- Single (Participant)
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Individuals who are active users on the social media site RallyPoint.
排除标准
- •Individuals who are not active users on the social media site RallyPoint.
结局指标
主要结局
Number of replies to peers' posts
时间窗: 24 hrs post intervention
The number of replies participants make to peers' social media posts.
Content in replies to peers' posts
时间窗: 24 hrs post intervention
Whether or not replies contain content related to the intervention (e.g., providing information on mental health resources); the frequency of supportive language found in participants replies to peers' posts.
Engagement with intervention
时间窗: 24 hrs post intervention
How often participants in the intervention arm click on the flags.
次要结局
未报告次要终点
研究者
Matthew Nock
Professor
Harvard University
