- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04052477
Social Web Mining for Suicide Prevention (Don't Do It)
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.
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.
Study Overview
Status
Conditions
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 Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Montpellier, France, 34295
- UHMontpellier
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
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
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
sensitivity of the algorithm
Time Frame: 1 day
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baseline
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1 day
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Sébastien Guillaume, PhD, University Hospital, Montpellier
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- RECHMPL19_0320
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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