Skip to main navigation Skip to search Skip to main content

Can risk assessment predict suicide in secondary mental healthcare? Findings from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register

  • Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, PO Box 68, London, SE5 8AF, UK. [email protected].
  • King's College London
  • Diabetes Psychiatry & Psychology, Department of Psychological Medicine and Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • UCL University College London
  • IDIBAPS, CIBERSAM, Instituto de Salud Carlos III
  • CAS Behavioural Health, London, UK.

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

PURPOSE: The predictive value of suicide risk assessment in secondary mental healthcare remains unclear. This study aimed to investigate the extent to which clinical risk assessment ratings can predict suicide among people receiving secondary mental healthcare.

METHODS: Retrospective inception cohort study (n = 13,758) from the South London and Maudsley NHS Foundation Trust (SLaM) (London, UK) linked with national mortality data (n = 81 suicides). Cox regression models assessed survival from the last suicide risk assessment and ROC curves evaluated the performance of risk assessment total scores.

RESULTS: Hopelessness (RR = 2.24, 95% CI 1.05-4.80, p = 0.037) and having a significant loss (RR = 1.91, 95% CI 1.03-3.55, p = 0.041) were significantly associated with suicide in the multivariable Cox regression models. However, screening statistics for the best cut-off point (4-5) of the risk assessment total score were: sensitivity 0.65 (95% CI 0.54-0.76), specificity 0.62 (95% CI 0.62-0.63), positive predictive value 0.01 (95% CI 0.01-0.01) and negative predictive value 0.99 (95% CI 0.99-1.00).

CONCLUSIONS: Although suicide was linked with hopelessness and having a significant loss, risk assessment performed poorly to predict such an uncommon outcome in a large case register of patients receiving secondary mental healthcare.

Original languageEnglish
JournalSocial Psychiatry and Psychiatric Epidemiology
Early online date2 Jun 2018
DOIs
Publication statusE-pub ahead of print - 2 Jun 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Can risk assessment predict suicide in secondary mental healthcare? Findings from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register'. Together they form a unique fingerprint.

Cite this