Literature DB >> 26737981

The use of technology in Suicide Prevention.

Mark E Larsen, Nicholas Cummins, Tjeerd W Boonstra, Bridianne O'Dea, Joe Tighe, Jennifer Nicholas, Fiona Shand, Julien Epps, Helen Christensen.   

Abstract

Suicide is one of the leading causes of death globally, and is notably a significant cause of death amongst young people. A suicide outcome is a complex combination of personal, social, and health factors, and therefore suicide prevention is a challenge, requiring a systems approach incorporating public health strategies, screening at-risk individuals, targeted interventions, and follow-up for suicide survivors and those bereaved by suicide. Engineering practice has been implicated in the hindrance of the adoption of suicide prevention strategies, such as installing safety barriers at the Golden Gate Bridge, however technological developments offer new opportunities in suicide prevention, and the potential to reduce the number of deaths by suicide. We present an overview of current technological developments which are facilitating research in the field of suicide prevention, including multiple modes of screening such as network analysis of mobile-phone collected connectivity data, automatic detection of suicidality from social media content, and crisis detection from acoustic variability in speech patterns. The current field of mhealth apps for suicide prevention is assessed, and an innovative app for an Indigenous population is presented. From this overview, future challenges - technical and ethical - are discussed.

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Year:  2015        PMID: 26737981     DOI: 10.1109/EMBC.2015.7320081

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  9 in total

Review 1.  Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps.

Authors:  John Torous; Mark E Larsen; Colin Depp; Theodore D Cosco; Ian Barnett; Matthew K Nock; Joe Firth
Journal:  Curr Psychiatry Rep       Date:  2018-06-28       Impact factor: 5.285

2.  Suicide-related Twitter Content in Response to a National Mental Health Awareness Campaign and the Association between the Campaign and Suicide Rates in Ontario.

Authors:  David Côté; Marissa Williams; Rabia Zaheer; Thomas Niederkrotenthaler; Ayal Schaffer; Mark Sinyor
Journal:  Can J Psychiatry       Date:  2021-02-10       Impact factor: 4.356

Review 3.  A Systematic Literature Review of Technologies for Suicidal Behavior Prevention.

Authors:  Manuel A Franco-Martín; Juan Luis Muñoz-Sánchez; Beatriz Sainz-de-Abajo; Gema Castillo-Sánchez; Sofiane Hamrioui; Isabel de la Torre-Díez
Journal:  J Med Syst       Date:  2018-03-05       Impact factor: 4.460

Review 4.  Mobile technology for mental health assessment.

Authors:  Patricia A Areàn; Kien Hoa Ly; Gerhard Andersson
Journal:  Dialogues Clin Neurosci       Date:  2016-06       Impact factor: 5.986

5.  Computer Administered Safety Planning for Individuals at Risk for Suicide: Development and Usability Testing.

Authors:  Edwin D Boudreaux; Gregory K Brown; Barbara Stanley; Rajani S Sadasivam; Carlos A Camargo; Ivan W Miller
Journal:  J Med Internet Res       Date:  2017-05-15       Impact factor: 5.428

6.  An Australian Indigenous community-led suicide intervention skills training program: community consultation findings.

Authors:  Bushra Nasir; Steve Kisely; Leanne Hides; Geetha Ranmuthugala; Sharon Brennan-Olsen; Geoffrey C Nicholson; Neeraj S Gill; Noel Hayman; Srinivas Kondalsamy-Chennakesavan; Maree Toombs
Journal:  BMC Psychiatry       Date:  2017-06-13       Impact factor: 3.630

Review 7.  Bootstrapping semi-supervised annotation method for potential suicidal messages.

Authors:  Roberto Wellington Acuña Caicedo; José Manuel Gómez Soriano; Héctor Andrés Melgar Sasieta
Journal:  Internet Interv       Date:  2022-02-28

8.  Towards Building a Visual Behaviour Analysis Pipeline for Suicide Detection and Prevention.

Authors:  Xun Li; Sandersan Onie; Morgan Liang; Mark Larsen; Arcot Sowmya
Journal:  Sensors (Basel)       Date:  2022-06-14       Impact factor: 3.847

9.  Mobile Apps for Suicide Prevention: Review of Virtual Stores and Literature.

Authors:  Isabel de la Torre; Gema Castillo; Jon Arambarri; Miguel López-Coronado; Manuel A Franco
Journal:  JMIR Mhealth Uhealth       Date:  2017-10-10       Impact factor: 4.773

  9 in total

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