Skip to content

Social Media Markers of Adolescents' Suicide Hazard

Social Media Markers of Adolescents' Suicide Hazard

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02719275
Acronym
SMMASH
Enrollment
200
Registered
2016-03-25
Start date
2016-04-30
Completion date
Unknown
Last updated
2016-03-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Adolescent Suicidality

Brief summary

Suicide is the 2nd leading cause of death for teenage youth in Canada, and every year tens of thousands of young people engage in suicidal behaviors. Many young people manifest red-flag behaviors in the digital realm before these incidents occur. The faceless nature of online communication often emboldens youth to reveal details about their mental state: leaving tell-tale signs or bread crumbs of their suicidal intentions or behaviors. This research will examine the content of adolescents social media entries to find red flags and detect patterns in social media interactions of adolescents that could be predictive of subsequent suicide risk. The study participants will be patients admitted to Child and Adolescent Psychiatry Emergency unit at BCCH, subdivided into two groups: those admitted due to suicidal behaviors, and those admitted for non-suicidal behaviors. The text of social media activity for the month prior to emergency admission of the two groups will be collected, anonymized, and analyzed using text-analytic algorithms. The objective of the study is to find patterns and indicators of social media entries, prior to admission, that would have been predictive of suicidality. The implications of successful outcome of this project for mental health care of children and adolescents reaches well beyond the scope of this study. An objective method to predict risk of suicidal behaviors in youth has application in almost all pediatric clinical settings. The outcomes of this project will also serve as the foundation for further utilization of social sensing technology to identify, predict, and prevent many other mental health crises in children and adolescents.

Interventions

BEHAVIORALSocial Media Monitoring

Retrospective analyses of social media activity prior to crisis.

Sponsors

Sinead Nugent
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
12 Years to 17 Years
Healthy volunteers
No

Inclusion criteria

* use social media * patient of BCCH

Exclusion criteria

* no use of social media

Design outcomes

Primary

MeasureTime frame
Algorithm development to predict suicidal crisis.10 months

Secondary

MeasureTime frame
Potential Predictors of crisis.10 months

Contacts

Primary ContactSinead M Nugent, M.Sc
sinead.nugent@cw.bc.ca(604) 875-2345

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026