Clinical Trials Logo

Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT02719275
Other study ID # H16-00524
Secondary ID
Status Not yet recruiting
Phase N/A
First received March 21, 2016
Last updated March 21, 2016
Start date April 2016

Study information

Verified date March 2016
Source British Columbia Children's Hospital
Contact Sinead M Nugent, M.Sc
Phone (604) 875-2345
Email sinead.nugent@cw.bc.ca
Is FDA regulated No
Health authority Canada: Ethics Review Committee
Study type Observational

Clinical Trial 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.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 200
Est. completion date
Est. primary completion date April 2017
Accepts healthy volunteers No
Gender Both
Age group 12 Years to 17 Years
Eligibility Inclusion Criteria:

- use social media

- patient of BCCH

Exclusion Criteria:

- no use of social media

Study Design

Observational Model: Cohort, Time Perspective: Retrospective


Related Conditions & MeSH terms


Intervention

Behavioral:
Social Media Monitoring
Retrospective analyses of social media activity prior to crisis.

Locations

Country Name City State
n/a

Sponsors (1)

Lead Sponsor Collaborator
Sinead Nugent

Outcome

Type Measure Description Time frame Safety issue
Primary Algorithm development to predict suicidal crisis. 10 months No
Secondary Potential Predictors of crisis. 10 months No