Toward mHealth Brief Contact Interventions in Suicide Prevention: Case Series From the Suicide Intervention Assisted by Messages (SIAM) Randomized Controlled Trial

Berrouiguet, Sofian; Larsen, Mark E.; Mesmeur, Catherine; Gravey, Michel; Billot, Romain; Walter, Michel; Lemey, Christophe; Lenca, Philippe

doi:10.2196/mhealth.7780

Cited by 31 publications

(14 citation statements)

References 29 publications

(33 reference statements)

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“…Technology-enhanced suicide preventive interventions may be more effective in younger people, due to their higher acceptance and affinity with technology 208 . Brief texting contact has shown potential to reduce re-attempt after a suicide attempt through initiating contact with crisis support 209 .…”

Section: Telemedicine During the Covid-19 Pandemicmentioning

confidence: 99%

Adaptation of evidence‐based suicide prevention strategies during and after theCOVID‐19 pandemic

et al. 2020

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Suicide is preventable. Nevertheless, each year 800,000 people die of suicide in the world. While there is evidence indicating that suicide rates de‐crease during times of crises, they are expected to increase once the immediate crisis has passed. The COVID‐19 pandemic affects risk and pro‐tective factors for suicide at each level of the socio‐ecological model. Economic downturn, augmented barriers to accessing health care, increased access to suicidal means, inappropriate media reporting at the societal level; deprioritization of mental health and preventive activities at the community level; interpersonal conflicts, neglect and violence at the relationship level; unemployment, poverty, loneliness and hopelessness at the individual level: all these variables contribute to an increase of depression, anxiety, post‐traumatic stress disorder, harmful use of alcohol, substance abuse, and ultimately suicide risk. Suicide should be prevented by strengthening universal strategies directed to the entire population, including mitigation of unemployment, poverty and inequalities; prioritization of access to mental health care; responsible media reporting, with information about available support; prevention of increased alcohol intake; and restriction of access to lethal means of suicide. Selective interventions should continue to target known vulnerable groups who are socio‐economically disadvantaged, but also new ones such as first responders and health care staff, and the bereaved by COVID‐19 who have been deprived of the final contact with loved ones and funerals. Indicated preventive strategies targeting individuals who display suicidal behaviour should focus on available pharmacological and psychological treatments of mental disorders, ensuring proper follow‐up and chain of care by increased use of telemedicine and other digital means. The scientific community, health care professionals, politicians and decision‐makers will find in this paper a systematic description of the effects of the pandemic on suicide risk at the society, community, family and individual levels, and an overview of how evidence‐based suicide preventive interventions should be adapted. Research is needed to investigate which adaptations are effective and in which con‐texts.

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Section: Telemedicine During the Covid-19 Pandemicmentioning

confidence: 99%

Adaptation of evidence‐based suicide prevention strategies during and after theCOVID‐19 pandemic

et al. 2020

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“…L'évaluation conduite préalablement au lancement de l'étude montre une bonne acceptabilité du dispositif par les patients [18]. Les résultats préliminaires de l'étude montrent le fort impact du dispositif sur l'organisation de soins en urgence, les SMS étant très utilisés par les sujets à risque [10].…”

Section: Vigilans Et Data Mining : Vers Une Aide à La Décision En Préunclassified

“…Cet environnement pourrait être enrichi par l'analyse des bases de données générées, afin, notamment, de personnaliser les soins selon les d'informations sur son état de santé, en se fondant notamment sur des évaluations écologiques (évaluations dans le milieu de vie du patient). L'analyse des bases de données ainsi obtenues permet d'identifier des profils de patients et surtout les patients les plus à risque [9] et de développer des outils d'aide à la décision médicale face à une crise suicidaire [10]. L'impact sur le parcours de soins des patients présentant un risque suicidaire pourrait être majeur en leur proposant des interventions personnalisées.…”

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“…Leur -nouvel -environnement métier constituera certainement un terrain d'expérimentation favorable à l'intégration d'outils d'aide à la décision médicale[10]. Une application Web permettra aux infirmiers vigilanseurs de reporter l'ensemble des évaluations qu'ils réalisent lors des contacts avec les patients et de mieux gérer le calendrier de rappel, en y intégrant la possibilité d'un échange par message sur téléphone portable (chat, ou clavardage, par SMS [short message system]).…”

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Prévention du suicide et santé connectée

Berrouiguet¹,

Moal

Guillodo

et al. 2018

Med Sci (Paris)

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Suicide risk assessment usually rely on brief medical visit and does not report the evolution of this risk after the patient discharge. However, the reattempt risk is still high several months after the initial attempt. In these setting, long term suicide prevention of at risk subjects are challenging. Thanks to recent technological advances, electronic health (eHealth) data collection strategies now can provide access to real-time patient self-report data during the interval between visits. The extension of the clinical assessment to the patient environment and data processing using data mining will support medical decision making.

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“…For instance, researchers interviewed 90 inpatient adolescents with a history of NSSI, finding that most of the participants were exposed to NSSI via traditional or social media before engaging in self-harming behaviors [ 24 ]. Recent attention has focused on how social media, in particular, may play a role in mental health [ 43 ] and suicide risk [ 44 , 45 ]. Social media may influence suicidality via factors such as cyberbullying, peer pressure in forums to engage in self-injurious behavior, and glamorized graphic videos and images depicting lethal means used in such behavior [ 46 , 47 ].…”

Section: Introductionmentioning

confidence: 99%

Examining the Self-Harm and Suicide Contagion Effects of the Blue Whale Challenge on YouTube and Twitter: Qualitative Study

Khasawneh¹,

Madathil²,

Dixon³

et al. 2020

JMIR Ment Health

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Background Research suggests that direct exposure to suicidal behaviors and acts of self-harm through social media may increase suicidality through imitation and modeling, particularly in more vulnerable populations. One example of a social media phenomenon that demonstrates how self-harming behavior could potentially be propagated is the blue whale challenge. Objective This paper aimed to investigate the way individuals portray the blue whale challenge on social media, with an emphasis on factors that could pose a risk to vulnerable populations. Methods We first used a thematic analysis approach to code 60 publicly posted YouTube videos, 1112 comments on those videos, and 150 Twitter posts that explicitly referenced the blue whale challenge. We then deductively coded the YouTube videos based on the Suicide Prevention Resource Center (SPRC) safe messaging guidelines as a metric for the contagion risk associated with each video. Results The thematic analysis revealed that social media users post about the blue whale challenge to raise awareness and discourage participation, express sorrow for the participants, criticize the participants, or describe a relevant experience. The deductive coding of the YouTube videos showed that most of the videos violated at least 50% of the SPRC safe and effective messaging guidelines. Conclusions These posts might have the problematic effect of normalizing the blue whale challenge through repeated exposure, modeling, and reinforcement of self-harming and suicidal behaviors, especially among vulnerable populations such as adolescents. More effort is needed to educate social media users and content generators on safe messaging guidelines and factors that encourage versus discourage contagion effects.

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Toward mHealth Brief Contact Interventions in Suicide Prevention: Case Series From the Suicide Intervention Assisted by Messages (SIAM) Randomized Controlled Trial

Cited by 31 publications

References 29 publications

Adaptation of evidence‐based suicide prevention strategies during and after theCOVID‐19 pandemic

Adaptation of evidence‐based suicide prevention strategies during and after theCOVID‐19 pandemic

Prévention du suicide et santé connectée

Examining the Self-Harm and Suicide Contagion Effects of the Blue Whale Challenge on YouTube and Twitter: Qualitative Study

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