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. Author manuscript; available in PMC: 2018 May 1.
Published in final edited form as: Br J Psychiatry. 2017 May;210(5):369. doi: 10.1192/bjp.210.5.369

Overstating the lack of evidence on suicide risk assessment

Seena Fazel 1, Achim Wolf 1
PMCID: PMC5700798  EMSID: EMS74876  PMID: 28465389

Abstract

Chan and colleagues provide an overview of risk factors and risk scales for suicide following self-harm (1). However, their conclusions go beyond their review findings and we think discounting the potential value of such tools on the basis of imperfect tools designed for other purposes is premature.


First, although we agree that the use of risk categories has its limitations (in particular when post-hoc cut-offs are used), this can be resolved if risk prediction tools use pre-specified cut-offs, and consider reporting absolute probabilities as well as risk categories (2). Absolute probabilities provide greater flexibility, and could help optimize treatment allocation, waiting list prioritization, or referral for more detailed assessments. A multicenter study found that only 70% of hospital episodes of self-harm receive psychosocial assessments in three UK centres (3), and hence there will likely be further challenges linking those at risk with appropriate clinical services. Clearly, psychosocial assessments are recommended for all persons who self-harm but more personalised therapies will also involve a degree of triaging.

Second, the review identified three tools used in practice: Beck Hopelessness Scale, Scale for Suicidal Ideation, and Suicide Intent Scale. However, none of these were developed for the purposes of risk prediction and thus critiquing the whole field on the basis of these tools goes beyond the evidence.

All risk prediction tools should be critically evaluated in terms of discrimination, calibration, and reclassification -- but the same high standards should also be applied to alternative approaches. What would be the performance of not using risk assessment, through purely qualitative or needs-based approaches? Without this information, this review might encourage a return to more subjective risk assessment approaches, which in the field of violence risk assessment have been shown to perform less well than structured methods (4).

Whilst purely qualitative and needs-based approaches have a strong intuitive appeal, risk assessment, if it can be linked to treatment, is likely to play a role in reducing suicide risk.

References

  • 1.Chan MK, Bhatti H, Meader N, Stockton S, Evans J, O'Connor R, et al. Predicting suicide following self-harm: A systematic review of risk factors and risk scales. Br J Psychiatry. 2016 doi: 10.1192/bjp.bp.115.170050. [DOI] [PubMed] [Google Scholar]
  • 2.Fazel S, Chang Z, Fanshawe T, Långström N, Lichtenstein P, Larsson H, et al. Prediction of violent reoffending on release from prison: derivation and external validation of a scalable tool. Lancet Psych. 2016;3(6):535–43. doi: 10.1016/S2215-0366(16)00103-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Hawton K, Bergen H, Casey D, Simkin S, Palmer B, Cooper J, et al. Self-harm in England: a tale of three cities. Soc Psychiatry Psychiatr Epidemiol. 2007;42(7):513–21. doi: 10.1007/s00127-007-0199-7. [DOI] [PubMed] [Google Scholar]
  • 4.Ægisdóttir S, White MJ, Spengler PM, Maugherman AS, Anderson LA, Cook RS, et al. The meta-analysis of clinical judgment project: Fifty-six years of accumulated research on clinical versus statistical prediction. Couns Psychol. 2006;34(3):341–82. [Google Scholar]

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