137
views
0
recommends
+1 Recommend
1 collections
    8
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      E-Health Interventions for Suicide Prevention

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Many people at risk of suicide do not seek help before an attempt, and do not remain connected to health services following an attempt. E-health interventions are now being considered as a means to identify at-risk individuals, offer self-help through web interventions or to deliver proactive interventions in response to individuals’ posts on social media. In this article, we examine research studies which focus on these three aspects of suicide and the internet: the use of online screening for suicide, the effectiveness of e-health interventions aimed to manage suicidal thoughts, and newer studies which aim to proactively intervene when individuals at risk of suicide are identified by their social media postings. We conclude that online screening may have a role, although there is a need for additional robust controlled research to establish whether suicide screening can effectively reduce suicide-related outcomes, and in what settings online screening might be most effective. The effectiveness of Internet interventions may be increased if these interventions are designed to specifically target suicidal thoughts, rather than associated conditions such as depression. The evidence for the use of intervention practices using social media is possible, although validity, feasibility and implementation remains highly uncertain.

          Related collections

          Most cited references50

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          The effectiveness of SPARX, a computerised self help intervention for adolescents seeking help for depression: randomised controlled non-inferiority trial

          Objective To evaluate whether a new computerised cognitive behavioural therapy intervention (SPARX, Smart, Positive, Active, Realistic, X-factor thoughts) could reduce depressive symptoms in help seeking adolescents as much or more than treatment as usual. Design Multicentre randomised controlled non-inferiority trial. Setting 24 primary healthcare sites in New Zealand (youth clinics, general practices, and school based counselling services). Participants 187 adolescents aged 12-19, seeking help for depressive symptoms, with no major risk of self harm and deemed in need of treatment by their primary healthcare clinicians: 94 were allocated to SPARX and 93 to treatment as usual. Interventions Computerised cognitive behavioural therapy (SPARX) comprising seven modules delivered over a period of between four and seven weeks, versus treatment as usual comprising primarily face to face counselling delivered by trained counsellors and clinical psychologists. Outcomes The primary outcome was the change in score on the children’s depression rating scale-revised. Secondary outcomes included response and remission on the children’s depression rating scale-revised, change scores on the Reynolds adolescent depression scale-second edition, the mood and feelings questionnaire, the Kazdin hopelessness scale for children, the Spence children’s anxiety scale, the paediatric quality of life enjoyment and satisfaction questionnaire, and overall satisfaction with treatment ratings. Results 94 participants were allocated to SPARX (mean age 15.6 years, 62.8% female) and 93 to treatment as usual (mean age 15.6 years, 68.8% female). 170 adolescents (91%, SPARX n=85, treatment as usual n=85) were assessed after intervention and 168 (90%, SPARX n=83, treatment as usual n=85) were assessed at the three month follow-up point. Per protocol analyses (n=143) showed that SPARX was not inferior to treatment as usual. Post-intervention, there was a mean reduction of 10.32 in SPARX and 7.59 in treatment as usual in raw scores on the children’s depression rating scale-revised (between group difference 2.73, 95% confidence interval −0.31 to 5.77; P=0.079). Remission rates were significantly higher in the SPARX arm (n=31, 43.7%) than in the treatment as usual arm (n=19, 26.4%) (difference 17.3%, 95% confidence interval 1.6% to 31.8%; P=0.030) and response rates did not differ significantly between the SPARX arm (66.2%, n=47) and treatment as usual arm (58.3%, n=42) (difference 7.9%, −7.9% to 24%; P=0.332). All secondary measures supported non-inferiority. Intention to treat analyses confirmed these findings. Improvements were maintained at follow-up. The frequency of adverse events classified as “possibly” or “probably” related to the intervention did not differ between groups (SPARX n=11; treatment as usual n=11). Conclusions SPARX is a potential alternative to usual care for adolescents presenting with depressive symptoms in primary care settings and could be used to address some of the unmet demand for treatment. Trial registration Australian New Zealand Clinical Trials ACTRN12609000249257.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Social media and suicide: a public health perspective.

            There is increasing evidence that the Internet and social media can influence suicide-related behavior. Important questions are whether this influence poses a significant risk to the public and how public health approaches might be used to address the issue. To address these questions, we provide an overview of ways that social media can influence suicidal behavior, both negatively and positively, and we evaluate the evidence of the risk. We also discuss the legal complexities of this important topic and propose future directions for research and prevention programs based on a public health perspective.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found

              Tracking Suicide Risk Factors Through Twitter in the US

              Background: Suicide is a leading cause of death in the United States. Social media such as Twitter is an emerging surveillance tool that may assist researchers in tracking suicide risk factors in real time. Aims: To identify suicide-related risk factors through Twitter conversations by matching on geographic suicide rates from vital statistics data. Method: At-risk tweets were filtered from the Twitter stream using keywords and phrases created from suicide risk factors. Tweets were grouped by state and departures from expectation were calculated. The values for suicide tweeters were compared against national data of actual suicide rates from the Centers for Disease Control and Prevention. Results: A total of 1,659,274 tweets were analyzed over a 3-month period with 37,717 identified as at-risk for suicide. Midwestern and western states had a higher proportion of suicide-related tweeters than expected, while the reverse was true for southern and eastern states. A strong correlation was observed between state Twitter-derived data and actual state age-adjusted suicide data. Conclusion: Twitter may be a viable tool for real-time monitoring of suicide risk factors on a large scale. This study demonstrates that individuals who are at risk for suicide may be detected through social media.
                Bookmark

                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                12 August 2014
                August 2014
                : 11
                : 8
                : 8193-8212
                Affiliations
                [1 ]School of Medicine, Black Dog Institute, University of New South Wales, Sydney, NSW, 2031, Australia
                [2 ]Centre for Mental Health Research, The Australian National University, Canberra, ACT, 0200, Australia; E-Mail: philip.batterham@ 123456anu.edu.au
                [3 ]School of Medicine, Black Dog Institute, University of New South Wales, Sydney, NSW, 2031, Australia; E-Mail: b.odea@ 123456blackdog.org.au
                Author notes
                [†]

                These authors contributed equally to this work.

                [* ]Author to whom correspondence should be addressed; E-Mail: h.christensen@ 123456blackdog.org.au ; Tel.: +61-02-9382-9288; Fax: +61-02-9382-8207.
                Article
                ijerph-11-08193
                10.3390/ijerph110808193
                4143857
                25119698
                96d7bc33-f0c3-4a95-8820-d0998097dc9f
                © 2014 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

                History
                : 16 June 2014
                : 30 July 2014
                : 30 July 2014
                Categories
                Review

                Public health
                internet,suicide prevention,e-health,social media,screening
                Public health
                internet, suicide prevention, e-health, social media, screening

                Comments

                Comment on this article

                scite_

                Similar content263

                Cited by49

                Most referenced authors352