Classification Algorithm for the Determination of Suicide Attempt and Suicide (CAD-SAS). Development and psychometric properties.
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...
| Publicado en: | Crisis: The Journal of Crisis Intervention & Suicide Prevention Vol. 33; no. 6; pp. 151 - 162 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Hogrefe Publishing GmbH
2012 Jan 1
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=108114497&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 108114497 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02275910 G39 jtl: Crisis: The Journal of Crisis Intervention & Suicide Prevention issn: 02275910 maglogo: N pubinfo: dt: 2012 Jan 1 vid: 33 iid: 6 pid: 56293 pub: Hogrefe Publishing GmbH place: Göttingen, <Blank> artinfo: ui: 108114497 108114497 NLM22450036 2011555682 10.1027/0227-5910/a000122 NLM22450036 108114497 ppf: 151 ppct: 11 formats: tig: atl: Classification Algorithm for the Determination of Suicide Attempt and Suicide (CAD-SAS). Development and psychometric properties. aug: au: Fedyszyn IE Harris MG Robinson J Paxton SJ Fedyszyn, Izabela E Harris, Meredith G Robinson, Jo Paxton, Susan J affil: School of Psychological Science, La Trobe University, Melbourne, VIC 3086, Australia sug: subj: Algorithms Self-Injurious Behavior Classification Suicide Classification Suicide, Attempted Classification Adolescence Female Human Male Psychometrics Reproducibility of Results Young Adult Scales Adolescent: 13-18 years Female Male ab: 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. pubtype: Periodical doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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