Predicting suicide: A comparison between clinical suicide risk assessment and the Suicide Intent Scale.


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
15 02 2020
Historique:
received: 17 07 2019
revised: 27 10 2019
accepted: 29 11 2019
pubmed: 24 1 2020
medline: 7 2 2021
entrez: 24 1 2020
Statut: ppublish

Résumé

How suicide risk should be assessed is under discussion with arguments for both actuarial and clinical approaches. The aim of the present study was to compare the predictive accuracy of a clinical suicide risk assessment to that of the Suicide Intent Scale (SIS) in predicting suicide within one year of an episode of self-harm with or without suicidal intent. Prospective clinical study of 479 persons assessed in a psychiatric emergency department after an episode of self-harm. The clinical risk assessment and the SIS rating were made independently of each other. Suicides within one year were identified in the National Cause of Death Register. Receiver operating characteristic (ROC) curves were constructed, optimal cut-offs were identified and accuracy statistics were calculated. Of 479 participants, 329 (68.7%) were women. The age range was 18-95 years. During one-year follow up, 14 participants died by suicide. The area under the curve (AUC) for the clinical risk assessment and the SIS score were very similar, as were the accuracy statistic measures at the optimal cut-offs of the respective methods. The positive predictive value (PPV) of each assessment method was 6%. The clinical suicide risk assessment is not standardized. The number of suicides is small, not allowing for stratification by e.g. gender or diagnosis. Predictive accuracy was similar for a clinical risk assessment and the SIS, and insufficient to guide treatment allocation.

Sections du résumé

BACKGROUND
How suicide risk should be assessed is under discussion with arguments for both actuarial and clinical approaches. The aim of the present study was to compare the predictive accuracy of a clinical suicide risk assessment to that of the Suicide Intent Scale (SIS) in predicting suicide within one year of an episode of self-harm with or without suicidal intent.
METHODS
Prospective clinical study of 479 persons assessed in a psychiatric emergency department after an episode of self-harm. The clinical risk assessment and the SIS rating were made independently of each other. Suicides within one year were identified in the National Cause of Death Register. Receiver operating characteristic (ROC) curves were constructed, optimal cut-offs were identified and accuracy statistics were calculated.
RESULTS
Of 479 participants, 329 (68.7%) were women. The age range was 18-95 years. During one-year follow up, 14 participants died by suicide. The area under the curve (AUC) for the clinical risk assessment and the SIS score were very similar, as were the accuracy statistic measures at the optimal cut-offs of the respective methods. The positive predictive value (PPV) of each assessment method was 6%.
LIMITATIONS
The clinical suicide risk assessment is not standardized. The number of suicides is small, not allowing for stratification by e.g. gender or diagnosis.
CONCLUSION
Predictive accuracy was similar for a clinical risk assessment and the SIS, and insufficient to guide treatment allocation.

Identifiants

pubmed: 31969276
pii: S0165-0327(19)31849-X
doi: 10.1016/j.jad.2019.11.131
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

445-449

Informations de copyright

Copyright © 2019. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None

Auteurs

Åsa U Lindh (ÅU)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, S:t Görans Hospital, Stockholm, Sweden. Electronic address: asa.lindh@ki.se.

Karin Beckman (K)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, S:t Görans Hospital, Stockholm, Sweden.

Andreas Carlborg (A)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, S:t Görans Hospital, Stockholm, Sweden.

Margda Waern (M)

Department of Psychiatry and Neurochemistry, University of Gothenburg & Region Västra Götaland, Sahlgrenska University Hospital, Psychosis Department, Gothenburg, Sweden.

Ellinor Salander Renberg (E)

Department of Clinical Sciences, Division of Psychiatry, University of Umeå, Sweden.

Marie Dahlin (M)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, S:t Görans Hospital, Stockholm, Sweden.

Bo Runeson (B)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, S:t Görans Hospital, Stockholm, Sweden.

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