Citation

Zaher NA, Buckingham CD. AMIA Annu. Symp. Proc. 2016; 2016: 1274-1282.

Affiliation

Aston University, Birmingham,United Kingdom.

Copyright

(Copyright © 2016, American Medical Informatics Association)

DOI

unavailable

PMID

28269925

Abstract

When assessors evaluate a person's risk of completing suicide, the person's expressed current intention is one of the most influential factors. However, ifpeople say they have no intention, this may not be true for a number of reasons. This paper explores the reliability of negative intention in data provided by mental-health services using the GRiST decision support system in England. It identifies features within a risk assessment record that can classify a negative statement regarding current intention of suicide as being reliable or unreliable. The algorithm is tested on previously conducted assessments, where outcomes found in later assessments do or do not match the initially stated intention. Test results show significant separation between the two classes. It means suicide predictions could be made more accurate by modifying the assessment process and associated risk judgement in accordance with a better understanding of the person's true intention.

Language: en

Keywords

Clinical Risk Judgment; Decision Support System; GRiST; Suicide Intention; Suicide Risk