Predicting suicidal behaviours using clinical instrument: systematic review and meta-analysis of positive predictive values for risk scales

Gregory Carter, Allison Milner, Katie McGill, Jane Pirkis, Nav Kapur, Matthew J. Spittal

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Abstract

Background

Prediction of suicidal behaviour is an aspirational goal for clinicians and policy makers; with patients classified as ‘high risk’ to be preferentially allocated treatment. Clinical usefulness requires an adequate positive predictive value (PPV).

Aims

To identify studies of predictive instruments and to calculate PPV estimates for suicidal behaviours.

Method

A systematic review identified studies of predictive instruments. A series of meta-analyses produced pooled estimates of PPV for suicidal behaviours.

Results

For all scales combined, the pooled PPVs were: suicide 5.5% (95% CI 3.9–7.9%), self-harm 26.3% (95% CI 21.8–31.3%) and self-harm plus suicide 35.9% (95% CI 25.8–47.4%). Subanalyses on self-harm found pooled PPVs of 16.1% (95% CI 11.3–22.3%) for high-quality studies, 32.5% (95% CI 26.1–39.6%) for hospital-treated self-harm and 26.8% (95% CI 19.5–35.6%) for psychiatric in-patients.

Conclusions

No ‘high-risk’ classification was clinically useful. Prevalence imposes a ceiling on PPV. Treatment should reduce exposure to modifiable risk factors and offer effective interventions for selected subpopulations and unselected clinical populations.
Original languageEnglish
Pages (from-to)387-395
Number of pages9
JournalBritish Journal of Psychiatry
Volume210
Issue number6
Early online date1 Jun 2017
DOIs
Publication statusPublished - 2017

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