Working… Menu

Social Web Mining for Suicide Prevention (Don't Do It)

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT04052477
Recruitment Status : Active, not recruiting
First Posted : August 9, 2019
Last Update Posted : August 9, 2019
LIRMM - Montpellier - France
Information provided by (Responsible Party):
University Hospital, Montpellier

Brief Summary:

According to a recent and alarming WHO (World Health Organisation) report (September 4, 2014), one person dies of suicide every 40 seconds in the world. Suicide is the third-leading cause of death for 15- to 24-year-olds, according to the Centers for Disease Control and Prevention , after accidents and homicide.

This major public health issue need prevention strategies especially directed to at-risk populations. Since 2013, more than 2 billion users are enrolled in social networks such as Twitter or Facebook. Young adults (ages 18 to 29) are the most likely to use social media - fully 90% do.

Consequently, in this project, we focus on suicide prevention in social media network..

The aim of this project is the validation of the algorithm. This algorithm build a decision support system that monitor young people at-risk based on large volume of heterogeneous data collected through social media to improve suicide prevention.

Condition or disease
Suicidal Behaviors

Detailed Description:

This study is composed of two steps :

  1. 9 subjects were recruited. After patients agreement, computer scientists were accessing to patient social network profile. Computer scientists were not able to visualize the content of publications, just run the algorithm that will analyse the content of messages (text, frequency, emoticons…)

    The algorithm defines the 3 most at-risk periods of suicide behaviors, on the next month. This result were compared to periods found by psychiatric interview. The psychiatrist then confirmed or not to LIRM whether periods found by the algorithm conrrespond to those defined by the psychitrist. No data of the social network were collected.

  2. the 2nd step aim to improve the algorithm by collecting sociodemographic and clincal data related to patients included.

Layout table for study information
Study Type : Observational
Actual Enrollment : 9 participants
Observational Model: Other
Time Perspective: Retrospective
Official Title: Social Web Mining for Suicide Prevention of Young People
Actual Study Start Date : January 1, 2017
Actual Primary Completion Date : June 1, 2017
Estimated Study Completion Date : September 30, 2019

Resource links provided by the National Library of Medicine

MedlinePlus related topics: Suicide

Primary Outcome Measures :
  1. sensitivity of the algorithm [ Time Frame: 1 day ]

Information from the National Library of Medicine

Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.

Layout table for eligibility information
Ages Eligible for Study:   15 Years and older   (Child, Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Non-Probability Sample
Study Population
Patients (major or minor) presenting suicidal behaviors (recent suicide attempt or suicidal ideations)

Inclusion criteria:

  • Major patient
  • Minor patient with parents approval
  • Patient hospitalized due to suicide attempt or suicide ideations
  • Frequent active user of social netword (Facebook, Instagram, Youtube, Twitter)

Exclusion criteria:

- Patient's refusal to participate

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its identifier (NCT number): NCT04052477

Layout table for location information
Montpellier, France, 34295
Sponsors and Collaborators
University Hospital, Montpellier
LIRMM - Montpellier - France
Layout table for investigator information
Principal Investigator: Sébastien Guillaume, PhD University Hospital, Montpellier

Layout table for additonal information
Responsible Party: University Hospital, Montpellier Identifier: NCT04052477     History of Changes
Other Study ID Numbers: RECHMPL19_0320
First Posted: August 9, 2019    Key Record Dates
Last Update Posted: August 9, 2019
Last Verified: July 2019
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: Undecided
Plan Description: NC

Layout table for additional information
Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No
Keywords provided by University Hospital, Montpellier:
Social network
Additional relevant MeSH terms:
Layout table for MeSH terms
Self-Injurious Behavior
Behavioral Symptoms