Literature DB >> 27340111

Predicting suicide following self-harm: systematic review of risk factors and risk scales.

Melissa K Y Chan1, Henna Bhatti2, Nick Meader2, Sarah Stockton2, Jonathan Evans2, Rory C O'Connor2, Nav Kapur2, Tim Kendall2.   

Abstract

BACKGROUND: People with a history of self-harm are at a far greater risk of suicide than the general population. However, the relationship between self-harm and suicide is complex. AIMS: To undertake the first systematic review and meta-analysis of prospective studies of risk factors and risk assessment scales to predict suicide following self-harm.
METHOD: We conducted a search for prospective cohort studies of populations who had self-harmed. For the review of risk scales we also included studies examining the risk of suicide in people under specialist mental healthcare, in order to broaden the scope of the review and increase the number of studies considered. Differences in predictive accuracy between populations were examined where applicable.
RESULTS: Twelve studies on risk factors and 7 studies on risk scales were included. Four risk factors emerged from the meta-analysis, with robust effect sizes that showed little change when adjusted for important potential confounders. These included: previous episodes of self-harm (hazard ratio (HR) = 1.68, 95% CI 1.38-2.05, K = 4), suicidal intent (HR = 2.7, 95% CI 1.91-3.81, K = 3), physical health problems (HR = 1.99, 95% CI 1.16-3.43, K = 3) and male gender (HR = 2.05, 95% CI 1.70-2.46, K = 5). The included studies evaluated only three risk scales (Beck Hopelessness Scale (BHS), Suicide Intent Scale (SIS) and Scale for Suicide Ideation). Where meta-analyses were possible (BHS, SIS), the analysis was based on sparse data and a high heterogeneity was observed. The positive predictive values ranged from 1.3 to 16.7%.
CONCLUSIONS: The four risk factors that emerged, although of interest, are unlikely to be of much practical use because they are comparatively common in clinical populations. No scales have sufficient evidence to support their use. The use of these scales, or an over-reliance on the identification of risk factors in clinical practice, may provide false reassurance and is, therefore, potentially dangerous. Comprehensive psychosocial assessments of the risks and needs that are specific to the individual should be central to the management of people who have self-harmed. © The Royal College of Psychiatrists 2016.

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Year:  2016        PMID: 27340111     DOI: 10.1192/bjp.bp.115.170050

Source DB:  PubMed          Journal:  Br J Psychiatry        ISSN: 0007-1250            Impact factor:   9.319


  82 in total

1.  Psychiatric Risk Assessment from the Clinician's Perspective: Lessons for the Future.

Authors:  Alex S Cohen; Taylor Fedechko; Elana K Schwartz; Thanh P Le; Peter W Foltz; Jared Bernstein; Jian Cheng; Elizabeth Rosenfeld; Brita Elvevåg
Journal:  Community Ment Health J       Date:  2019-06-01

2.  Improper study design precludes valid effect estimates in important suicide prevention research.

Authors:  Lars-Håkan Thorell; Karl Wahlin; Jonas Ranstam
Journal:  Int J Methods Psychiatr Res       Date:  2019-05-29       Impact factor: 4.035

3.  Suicide risk assessment: tools and challenges.

Authors:  Maria A Oquendo; Joel A Bernanke
Journal:  World Psychiatry       Date:  2017-02       Impact factor: 49.548

4.  Overstating the lack of evidence on suicide risk assessment.

Authors:  Achim Wolf; Seena Fazel
Journal:  Br J Psychiatry       Date:  2017-05       Impact factor: 9.319

5.  A Short-Term Population Model of the Suicide Risk: The Case of Spain.

Authors:  Elena De la Poza; Lucas Jódar
Journal:  Cult Med Psychiatry       Date:  2018-12

6.  Health outcomes associated with emergency department visits by adolescents for self-harm: a propensity-matched cohort study.

Authors:  William Gardner; Kathleen Pajer; Paula Cloutier; Lisa Currie; Ian Colman; Roger Zemek; Simon Hatcher; Isac Lima; Mario Cappelli
Journal:  CMAJ       Date:  2019-11-04       Impact factor: 8.262

Review 7.  Precision Medicine and Suicide: an Opportunity for Digital Health.

Authors:  Maria Luisa Barrigon; Philippe Courtet; Maria Oquendo; Enrique Baca-García
Journal:  Curr Psychiatry Rep       Date:  2019-11-28       Impact factor: 5.285

8.  Implicit Identification with Death Predicts Suicidal Thoughts and Behaviors in Adolescents.

Authors:  Catherine R Glenn; Alexander J Millner; Erika C Esposito; Andrew C Porter; Matthew K Nock
Journal:  J Clin Child Adolesc Psychol       Date:  2019-01-11

9.  Universal screening may not prevent suicide.

Authors:  Paul S Nestadt; Patrick Triplett; Ramin Mojtabai; Alan L Berman
Journal:  Gen Hosp Psychiatry       Date:  2018-06-25       Impact factor: 3.238

10.  Increasing intentions to use mental health services among university students. Results of a pilot randomized controlled trial within the World Health Organization's World Mental Health International College Student Initiative.

Authors:  David Daniel Ebert; Marvin Franke; Fanny Kählke; Ann-Marie Küchler; Ronny Bruffaerts; Philippe Mortier; Eirini Karyotaki; Jordi Alonso; Pim Cuijpers; Matthias Berking; Randy P Auerbach; Ronald C Kessler; Harald Baumeister
Journal:  Int J Methods Psychiatr Res       Date:  2018-11-20       Impact factor: 4.035

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