Literature DB >> 30362903

Social Media and Suicide: A Review of Technology-Based Epidemiology and Risk Assessment.

Ali Pourmand1, Jeffrey Roberson1, Amy Caggiula1, Natalia Monsalve1, Murwarit Rahimi1, Vanessa Torres-Llenza2.   

Abstract

Introduction: Suicide is a significant public health problem among teenagers and young adults in the United States, placing significant stress on emergency departments (EDs) to effectively screen and assess for the presence of suicidality in a rapid yet efficient manner.
Methods: A literature search was performed using PubMed and MEDLINE with the following terms: "Social media," "Suicide," "Facebook®," "Twitter®," "MySpace®," "Snapchat®," "Ethics," "Digital Media," and "Forums and Blog." Data were extracted from each article, specifically the sample size, study setting, and design. Only English-language studies were included. We reviewed the reference lists of included articles for additional studies, as well. Abstracts, unpublished data, and duplicate articles were excluded.
Results: A total of 363 articles met our initial criteria. Studies older than 10 years and/or in a language other than English were removed. After review, a total of 31 peer-reviewed articles were included in the study. Teenagers and young adults often fail to disclose risk factors to physicians, despite sharing them with the public on social media platforms such as Facebook and Twitter. Therefore, physician access to a patient's social media can assist in identifying suicidal ideation and/or acts. Conclusions: Viewing a patient's social media accounts can help ED physicians gain perspective into his or her mental health status and identify those at risk for suicide; however, ethical and privacy concerns associated with this method of data gathering make implementation of such a practice controversial. To justify its use, formal prospective studies analyzing if and how physician access to a patient's social media influences care should be performed.

Entities:  

Keywords:  digital; e-health; emergency medicine; social media; suicide

Mesh:

Year:  2018        PMID: 30362903     DOI: 10.1089/tmj.2018.0203

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  12 in total

1.  Online help-seeking prior to diagnosis: Can web-based resources reduce the duration of untreated mood disorders in young people?

Authors:  Anna R Van Meter; Michael L Birnbaum; Asra Rizvi; John M Kane
Journal:  J Affect Disord       Date:  2019-04-08       Impact factor: 4.839

2.  Re-evaluating standards of human subjects protection for sensitive health data in social media networks.

Authors:  Kar-Hai Chu; Jason Colditz; Jaime Sidani; Michael Zimmer; Brian Primack
Journal:  Soc Networks       Date:  2019-11-20

Review 3.  Psychiatry in the Digital Age: A Blessing or a Curse?

Authors:  Carl B Roth; Andreas Papassotiropoulos; Annette B Brühl; Undine E Lang; Christian G Huber
Journal:  Int J Environ Res Public Health       Date:  2021-08-05       Impact factor: 3.390

4.  Boamente: A Natural Language Processing-Based Digital Phenotyping Tool for Smart Monitoring of Suicidal Ideation.

Authors:  Evandro J S Diniz; José E Fontenele; Adonias C de Oliveira; Victor H Bastos; Silmar Teixeira; Ricardo L Rabêlo; Dario B Calçada; Renato M Dos Santos; Ana K de Oliveira; Ariel S Teles
Journal:  Healthcare (Basel)       Date:  2022-04-08

5.  A machine learning approach predicts future risk to suicidal ideation from social media data.

Authors:  Arunima Roy; Katerina Nikolitch; Rachel McGinn; Safiya Jinah; William Klement; Zachary A Kaminsky
Journal:  NPJ Digit Med       Date:  2020-05-26

6.  Detecting relapse in youth with psychotic disorders utilizing patient-generated and patient-contributed digital data from Facebook.

Authors:  M L Birnbaum; S K Ernala; A F Rizvi; E Arenare; A R Van Meter; M De Choudhury; J M Kane
Journal:  NPJ Schizophr       Date:  2019-10-07

7.  Mediation Effect of Suicide-Related Social Media Use Behaviors on the Association Between Suicidal Ideation and Suicide Attempt: Cross-Sectional Questionnaire Study.

Authors:  Xingyun Liu; Jiasheng Huang; Nancy Xiaonan Yu; Qing Li; Tingshao Zhu
Journal:  J Med Internet Res       Date:  2020-04-28       Impact factor: 5.428

Review 8.  Suicide Risk Assessment Using Machine Learning and Social Networks: a Scoping Review.

Authors:  Gema Castillo-Sánchez; Gonçalo Marques; Enrique Dorronzoro; Octavio Rivera-Romero; Manuel Franco-Martín; Isabel De la Torre-Díez
Journal:  J Med Syst       Date:  2020-11-09       Impact factor: 4.460

9.  Exploring the Association Between the "Big Five" Personality Traits and Fatal Opioid Overdose: County-Level Empirical Analysis.

Authors:  Zhasmina Tacheva; Anton Ivanov
Journal:  JMIR Ment Health       Date:  2021-03-08

10.  The Development of Explicit and Implicit Game-Based Digital Behavioral Markers for the Assessment of Social Anxiety.

Authors:  Martin Johannes Dechant; Julian Frommel; Regan Lee Mandryk
Journal:  Front Psychol       Date:  2021-12-15
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