Classification Algorithm for the Determination of Suicide Attempt and Suicide (CAD-SAS) development and psychometric properties

Fedyszyn, Izabela E., Harris, Meredith G., Robinson, Jo and Paxton, Susan J. (2012) Classification Algorithm for the Determination of Suicide Attempt and Suicide (CAD-SAS) development and psychometric properties. Crisis: The Journal of Crisis Intervention and Suicide Prevention, 33 3: 151-161. doi:10.1027/0227-5910/a000122

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Author Fedyszyn, Izabela E.
Harris, Meredith G.
Robinson, Jo
Paxton, Susan J.
Title Classification Algorithm for the Determination of Suicide Attempt and Suicide (CAD-SAS) development and psychometric properties
Journal name Crisis: The Journal of Crisis Intervention and Suicide Prevention   Check publisher's open access policy
ISSN 0227-5910
2151-2396
Publication date 2012-01-01
Sub-type Article (original research)
DOI 10.1027/0227-5910/a000122
Volume 33
Issue 3
Start page 151
End page 161
Total pages 11
Place of publication Cambridge, MA, United States
Publisher Hogrefe Publishing
Language eng
Formatted abstract
Background: One methodological difficulty in research into suicide attempts and suicide is distinguishing these phenomena from nonsuicidal self-harming behaviors and accidents. This is problematic because a reliable assessment of the presence or absence of the outcome variable is fundamental for the validity of the findings. Aims: To develop a standardized rating system, the Classification Algorithm for the Determination of Suicide Attempt and Suicide (CAD-SAS), and to investigate its psychometric properties. Methods: To examine the test-retest reliability, one investigator rated 217 narratives of real-life self-harming incidents at initial assessment and 4 weeks later. To establish the interrater reliability, three independent raters assessed a random sample of 70 narratives using the CAD-SAS. To examine the validity, one investigator using the CAD-SAS compared ratings to clinical judgments made by a consultant psychiatrist without the CAD-SAS on the same random set of 70 narratives. Results: Test-retest reliability was excellent (97.2% agreement) and interrater reliability was substantial (70.0% agreement, κ = 0.70). Agreement in the classification of incidents with the “real-world” clinical judgments supports the validity of the CAD-SAS (64.3% agreement, κ = 0.46). Conclusions: The reliability and validity of future studies can be enhanced through the standardized assessment and classification of incidents.
Keyword Suicide attempt
Assessment
Reliability
Validity
Criteria
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2013 Collection
School of Public Health Publications
 
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