Suicidal BehaviorsDon't Do ItNCT04052477
Social Web Mining for Suicide Prevention
An observational study of Suicidal Behaviors, run by University Hospital, Montpellier at 1 site in France.
Trial 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. Read more about this study
- Who is it for?
- Ages 15 years and older
- Conditions the study is for
- Suicidal Behaviors
- How many people
- 9 participants
- Where
- 1 siteFrance
- Study dates
- 1 Jan 2017to 30 Dec 2020
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 15 years and older
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Study population: Patients (major or minor) presenting suicidal behaviors (recent suicide attempt or suicidal ideations)
Who may be able to join
- 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)
Who cannot join
- Patient's refusal to participate
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Social Web Mining for Suicide Prevention of Young People
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.
Read more
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.
Read the detailed description
This study is composed of two steps :
- 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.
- the 2nd step aim to improve the algorithm by collecting sociodemographic and clincal data related to patients included.
- Conditions
- Suicidal Behaviors
- Keywords
- Suicide, Prevention, Social network
- Medical subject headings
- Suicide
What is being measured
The primary outcome is the main question the study is designed to answer.
sensitivity of the algorithm
baseline
Measured: 1 day
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted9 Aug 2019
- Study start1 Jan 2017
- Primary completion1 Jun 2017
- Study completion30 Dec 2020
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Suicidal BehaviorsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Retrospective
- Enrolment
- 9 participants (actual)
Sponsor and investigators
- Lead sponsor
- University Hospital, Montpellier
- Sponsor type
- University, hospital or other
- Collaborators
- LIRMM - Montpellier - France
- Responsible party
- Sponsor
- Investigators
- Sébastien Guillaume, PhD, Principal investigator, University Hospital, Montpellier
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04052477
- Sponsor's protocol ID
- RECHMPL19_0320
- Acronym
- Don't Do It
- Status last verified
- Sep 2021
- First submitted
- 12 Jul 2019
- Last updated
- 2 Sep 2021
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided: NC
Study at a glance
From the registry record, last updated by the sponsor on 2 Sep 2021. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Social Web Mining for Suicide Prevention of Young People
- ClinicalTrials.gov ID
- NCT04052477
- Acronym / sponsor ID
- Don't Do It / RECHMPL19_0320
- Conditions
- Suicidal Behaviors
- Keywords
- Suicide, Prevention, Social network
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 9 participants (actual)
- Lead sponsor
- University Hospital, MontpellierUniversity, hospital or other
- Collaborators
- LIRMM - Montpellier - France
- Study start
- 1 Jan 2017 (actual)
- Primary completion
- 1 Jun 2017 (actual)
- Study completion
- 30 Dec 2020 (actual)
- First posted
- 9 Aug 2019 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
This study is composed of two steps :
- 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.
- the 2nd step aim to improve the algorithm by collecting sociodemographic and clincal data related to patients included.
Study design
- Observational model
- Other
- Time perspective
- Retrospective
Who may qualify
- Ages
- 15 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
- Study population
- Patients (major or minor) presenting suicidal behaviors (recent suicide attempt or suicidal ideations)
Key inclusion criteria (4 listed)
- 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)
Key exclusion criteria (1 listed)
- Patient's refusal to participate
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
sensitivity of the algorithm
Time frame: 1 day
baseline
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 2 Sep 2021.
- Individual participant dataSharing planned: Undecided. NC
Related trials for Suicidal Behaviors
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Suicide Preventive Psychosocial Treatment for Youths
Suicide Attempt, Suicidal and Self-injurious Behavior
Recruiting
Developing a Recovery-Oriented Suicide Prevention Program for Young People at Clinical High Risk for Psychosis
Clinical High Risk for Psychosis (CHR), Suicidal Ideation
Not yet recruitingPhase 2
Intravenous Ketamine for Acute Suicidal Crisis and Psychiatric Hospital Length of Stay
Suicidal Ideation, Suicidal Behavior
Enrolling by invitationObservational study
Cannabis, Neuroinflammation, and Suicidal Ideation: A Supplemental Brain Imaging Study
PTSD, Suicidal Thoughts and Behaviors
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Sébastien Guillaume, PhD principal investigator
University Hospital, Montpellier
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Suicidal Behaviors, run by University Hospital, Montpellier at 1 site in France.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 2 Sep 2021. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in France. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
sensitivity of the algorithm (time frame: 1 day). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 2 Sep 2021; AzTrials last refreshed its copy on 27 Oct 2026.