Social media and suicide prevention: a systematic review

Robinson, Jo; Cox, Georgina; Bailey, Eleanor; Hetrick, Sarah; Rodrigues, Maria do Céu; Fisher, Steve; Herrman, Helen

doi:10.1111/eip.12229

Cited by 236 publications

(219 citation statements)

References 60 publications

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“…The use of social media has also been highlighted as having the potential to support young people with SRBs 66. A recent publication by Rice et al (2016) describes the implementation of a handful of online and social media interventions for young people at risk of suicide, as well as how such interventions may act to ‘bolster social connectedness’ 67.…”

Section: Discussionmentioning

confidence: 99%

Psychosocial interventions for self-harm, suicidal ideation and suicide attempt in children and young people: What? How? Who? and Where?

Cox

Hetrick

2017

Evid Based Mental Health

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We reviewed the evidence for the effectiveness of indicated individual psychosocial interventions for the treatment of self-harm, suicidal ideation and suicide attempts in children and young people, with a particular emphasis on the emerging use of electronic methods to deliver psychological interventions. In total, 16 randomised controlled trials (RCTs) were identified, none of which included children under the age of 12 years. Cognitive-behavioural therapy is the most commonly implemented approach in RCTs until now, although problem-solving therapy, interpersonal psychotherapy, social support and distal support methods by provision of a green card and regular receipt of postcards have also been investigated. Young people have been recruited into RCTs within schools, outpatient clinics, emergency departments and inpatient facilities. Face-to-face delivery of therapy has dominated the intervention trials thus far; however, the use of the internet, social media and mobile devices to deliver interventions to young people and other family members allows for a more novel approach to suicide prevention in youth going forward.

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Section: Discussionmentioning

confidence: 99%

Psychosocial interventions for self-harm, suicidal ideation and suicide attempt in children and young people: What? How? Who? and Where?

Cox

Hetrick

2017

Evid Based Mental Health

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“…Rumors are ubiquitous after suicides and spread faster among people who share the same spaces of conversation such as colleagues, neighbors, or even "friends" in social media (Liu, Xu & Tourassi, 2015;Luxton, June & Fairall, 2012;Robinson et al, 2016). In the inpatient unit studied, the nursing staff is assembled in teams that share the same shift schedule, having a larger time of connivance on duty than other workers.…”

Section: Discussionmentioning

confidence: 99%

Post-traumatic symptoms in the staff of a mental health inpatient unit after the suicide of a patient: a case report in Chile

Figueroa¹,

León²,

Sorensen³

2016

Summa Psicológica

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BACKGROUND: Multiple studies have shown that the suicide of a patient can produce posttraumatic and depressive symptoms among the mental health care providers, who typically have high levels of baseline burnout. OBJECTIVES: To measure posttraumatic, depressive and burnout symptoms in the staff of an inpatient psychiatric unit after the suicide of a patient. METHODS: Two months after the suicide all the employees were invited to answer, anonymously, the Posttraumatic Check-List (PCL), the Beck Depression Inventory (BDI), and the Maslach Burnout Inventory (MBI), for measuring posttraumatic, depressive, and burnout symptoms, respectively. RESULTS: Over 80% of the staff participated. A total of 17.1% had probable PTSD, 19.5% probable major depression, 24.4% and 14.6% high levels of emotional exhaustion and depersonalization, respectively, and 24.4% low levels of professional accomplishment. The group consisting of nurses, paramedic technicians, and nursing assistants ("nursing staff") had PTSD significantly greater than other workers (p < .001). CONCLUSIONS: Suicide in a psychiatric ward can produce posttraumatic and depressive symptoms among the staff, as high as another kind of traumas. The impact may be greater on the nursing staff. It is essential that organizations involved in the provision or teaching of mental health care incorporate this reality into their agenda, to prevent, mitigate and respond better to this phenomenon.

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“…These insights have also been investigated by Braithwaite et al [19] who demonstrated that machine learning algorithms are efficient in differentiating people who are at a suicidal risk from those who are not. For a more detailed review of the use of social media platforms as a tool for suicide prevention, the reader may refer to the recent systematic survey by Robinson et al [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Detection of suicide-related posts in Twitter data streams

Vioulès¹,

Moulahi²,

Azé³

et al. 2018

IBM J. Res. & Dev.

113

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Suicidal ideation detection in online social networks is an emerging research area with major challenges. Recent research has shown that the publicly available information spread across social media platforms holds valuable indicators to effectively detecting individuals with suicidal intentions. The key challenge of suicide prevention is understanding and detecting the complex risk factors and warning signs that may precipitate the event. In this paper, we present a new approach that uses the social media platform Twitter to quantify suicide-warning signs for individuals and to detect posts containing suicide-related content. The main originality of this approach is the automatic identification of sudden changes in a user's online behavior. To detect such changes, we combine natural language processing techniques to aggregate behavioral and textual features and pass these features through a martingale framework, which is widely used for change detection in data streams. Experiments show that our text-scoring approach effectively captures warning signs in text compared to traditional machine learning classifiers. Additionally, the application of the martingale framework highlights changes in online behavior and shows promise for detecting behavioral changes in at-risk individuals.

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Social media and suicide prevention: a systematic review

Cited by 236 publications

References 60 publications

Psychosocial interventions for self-harm, suicidal ideation and suicide attempt in children and young people: What? How? Who? and Where?

Psychosocial interventions for self-harm, suicidal ideation and suicide attempt in children and young people: What? How? Who? and Where?

Post-traumatic symptoms in the staff of a mental health inpatient unit after the suicide of a patient: a case report in Chile

Detection of suicide-related posts in Twitter data streams

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