Post-acute crisis text messaging outreach for suicide prevention: A pilot study

Berrouiguet, Sofian; Gravey, Michel; Galudec, Mickaël Le; Alavi, Zarrin; Walter, Michel

doi:10.1016/j.psychres.2014.02.034

Cited by 38 publications

(34 citation statements)

References 11 publications

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“…37-39 Empirical adjudication would require analyses beyond the scope of this report on competing needs, costs, and cost-effectiveness of intervention options. 40, 41 Our aim was to address a prior question : whether a useful precision medicine model can be developed. We showed that it can.…”

Section: Discussionmentioning

confidence: 99%

Predicting suicides after outpatient mental health visits in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

et al. 2016

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The 2013 U.S. Veterans Administration/Department of Defense Clinical Practice Guidelines (VA/DoD CPG) require comprehensive suicide risk assessments for VA/DoD patients with mental disorders but provide minimal guidance on how to carry out these assessments. Given that clinician-based assessments are known not to be strong predictors of suicide, we investigated whether a precision medicine model using administrative data after outpatient mental health specialty visits could be developed to predict suicides among outpatients. We focused on male non-deployed Regular U.S. Army soldiers because they account for the vast majority of such suicides. Four machine learning classifiers (naïve Bayes, random forests, support vector regression, elastic net penalized regression) were explored. 41.5% of Army suicides in 2004-2009 occurred among the 12.0% of soldiers seen as outpatient by mental health specialists, with risk especially high within 26 weeks of visits. An elastic net classifier with 10-14 predictors optimized sensitivity (45.6% of suicide deaths occurring after the 15% of visits with highest predicted risk). Good model stability was found for a model using 2004-2007 data to predict 2008-2009 suicides, although stability decreased in a model using 2008-2009 data to predict 2010-2012 suicides. The 5% of visits with highest risk included only 0.1% of soldiers (1047.1 suicides/100,000 person-years in the 5 weeks after the visit). This is a high enough concentration of risk to have implications for targeting preventive interventions. An even better model might be developed in the future by including the enriched information on clinician-evaluated suicide risk mandated by the VA/DoD CPG to be recorded.

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Section: Discussionmentioning

confidence: 99%

Predicting suicides after outpatient mental health visits in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

et al. 2016

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“…8 This means that the benefits of delivering intensive post-hospital suicide prevention interventions to all recently-discharged inpatients would be low. A more rational allocation of treatment resources would be to combine relatively inexpensive universal interventions (e.g., 9 ) with more intensive targeted high-risk interventions. 4 However, this tiered approach would require developing a reliable risk stratification scheme.…”

mentioning

confidence: 99%

Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers

Kessler

Warner

Ivany³

et al. 2015

JAMA Psychiatry

394

159

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“…Nine used mobile phone applications to deliver a toolbox of support including coping skills and strategies (often derived from approaches such as CBT and DBT) as well as signposting or crisis support (Bush et al., , ; Kennard et al., ; McManama O'Brien, LeCloux, Ross, Gironda, & Wharff, ; O'Toole, Arendt, & Pedersen, ; Pauwels et al., ; Rizvi, Hughes, & Thomas, ; Stallard, Porter, & Grist, ; Tighe et al., ). Three interventions involved supportive text messages (Berrouiguet, Gravey, Le Galudec, Alavi, & Walter, ; Chen, Mishara, & Liu, ; Kodama et al., ). One intervention involved the use of audio and text messages relating to coping skills and strategies, which followed on from face‐to‐face support (Marasinghe et al., ).…”

Section: Resultsmentioning

confidence: 99%

“…Self‐reported acceptability was good where assessed ( k = 13). For text message‐based services, participants in three studies found the interventions to be helpful (80%–93%), and a good way to stay in touch with services (93%; Berrouiguet et al., ; Chen et al., ; Kodama et al., ). However, in one of these studies participants were more divided around whether the service benefited their psychological health, and suicidal thoughts or behavior (40%–60% felt the service was helpful in these areas; Berrouiguet et al., ).…”

Section: Resultsmentioning

confidence: 99%

“…For text message‐based services, participants in three studies found the interventions to be helpful (80%–93%), and a good way to stay in touch with services (93%; Berrouiguet et al., ; Chen et al., ; Kodama et al., ). However, in one of these studies participants were more divided around whether the service benefited their psychological health, and suicidal thoughts or behavior (40%–60% felt the service was helpful in these areas; Berrouiguet et al., ). For mobile phone apps, participants typically found these helpful or were satisfied with the content (e.g., 84%–89%; Bush et al., , ; McManama O'Brien et al., ), and would consider using the apps again (e.g., 83%–94%; Bush et al., , ; Rizvi et al., ; Stallard et al., ).…”

Section: Resultsmentioning

confidence: 99%

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A Systematic Review of the Evidence Supporting Mobile‐ and Internet‐Based Psychological Interventions For Self‐Harm

Arshad

Farhat-Ul-Ain

Gauntlett

et al. 2019

Suicide & Life Threat Behav

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Objectives Internet‐ and mobile phone‐based psychological interventions have the potential to overcome many of the barriers associated with accessing traditional face‐to‐face therapy. Self‐injurious thoughts and behaviors (STB) are prevalent global health problems that may benefit from Internet‐ and mobile‐based interventions. We provide a systematic review and meta‐analysis of studies evaluating mobile‐ and Internet‐based interventions for STB, including nonsuicidal self‐injury (NSSI). Methods Online databases (PsycINFO, Web of Science, Medline) were searched up to March 2019 for single‐arm and controlled trials of Internet‐ or mobile‐based interventions for STB. The potential for bias was assessed using the Cochrane risk of bias tool. Results Twenty‐two eligible trials were identified. The research was limited by a lack of controlled designs and small samples. Evidence supports the acceptability of interventions. There is preliminary evidence that these interventions are associated with a decline in STB. A meta‐analysis suggested a positive treatment effect on suicidal ideation when compared to treatment as usual, but not when trials with active controls were also considered. Conclusions Overall, Internet‐ and mobile‐based interventions show promise and further controlled trials are warranted, focusing on behavioral outcomes (NSSI, suicidal behavior). This review was preregistered with PROSPERO (CRD42017074065).

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Post-acute crisis text messaging outreach for suicide prevention: A pilot study

Cited by 38 publications

References 11 publications

Predicting suicides after outpatient mental health visits in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

Predicting suicides after outpatient mental health visits in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers

A Systematic Review of the Evidence Supporting Mobile‐ and Internet‐Based Psychological Interventions For Self‐Harm

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