Conférences du Musée pédagogique

Boudréaux , Séguin . Conférences du Musée pédagogique. In: Manuel général de l'instruction primaire : journal hebdomadaire des instituteurs. 56e année, tome 25, 1889. pp. 193-196

Conférences du musée pédagogique

Boudréaux Edouard, Séguin . Conférences du musée pédagogique . In: Manuel général de l'instruction primaire : journal hebdomadaire des instituteurs. 56e année, tome 25, 1889. pp. 212-213

Survey evidence of the decline in child abuse in younger Canadian cohorts

International audienc

Are school difficulties an early sign for mental disorder diagnosis and suicide prevention? A comparative study of individuals who died by suicide and control group

International audienc

Leveraging the Web and Social Media to Promote Access to Care Among Suicidal Individuals

International audienceAfter two decades of exponential development, the Internet has become an inseparable component of suicide prevention matters. More specifically, social media has turned out to be a privileged space for suicidal individuals to express their distress and seek support. Although this tendency carries with it specific risks and challenges, it creates unprecedented opportunities to face the challenges of help seeking and access to care. In this paper, we present the empirical, technological, and theoretical evidence supporting the implementation of a digitally augmented prevention policy that would increase its reach. Congruent to the clinical observations and theories on the help-seeking process, we argue that social media can help undertake three main functions of increasing proactivity to bring suffering Web users to care. The gateway function relates to the properties of social media interactions to leverage help-seeking barriers and enable ambivalent individuals to access the mental healthcare system. The communication outreach function Aims:to broadcast pro-help-seeking messages, while drawing on the functional structure of the social media network to increase its audience. The intervention outreach function consists in using machine learning algorithms to detect social media users with the highest risk of suicidal behaviors and give them a chance to overcome their dysfunctional reluctance to access help. We propose to combine these three functions into a single coherent operational model. This would involve the joint actions of a communication and intervention team on social networks, working in close collaboration with conventional mental health professionals, emergency service, and community resources