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A Shortened Version of the Suicide Cognitions Scale for Identifying Chronic Pain Patients at Risk for Suicide
Author(s) -
Bryan Craig J.,
Kanzler Kathryn E.,
Grieser Emily,
Martinez Annette,
Allison Sybil,
McGeary Donald
Publication year - 2017
Publication title -
pain practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.899
H-Index - 58
eISSN - 1533-2500
pISSN - 1530-7085
DOI - 10.1111/papr.12464
Subject(s) - chronic pain , medicine , clinical psychology , confirmatory factor analysis , construct validity , cognition , scale (ratio) , psychiatry , suicide attempt , multivariate statistics , multivariate analysis , outpatient clinic , human factors and ergonomics , poison control , psychometrics , structural equation modeling , medical emergency , statistics , physics , mathematics , quantum mechanics
Objective Research in psychiatric outpatient and inpatient populations supports the utility of the Suicide Cognitions Scale (SCS) as an indicator of current and future risk for suicidal thoughts and behaviors. Designed to assess suicide‐specific thoughts and beliefs, the SCS has yet to be evaluated among chronic pain patients, a group with elevated risk for suicide. The purpose of the present study was to develop and test a shortened version of the SCS (the SCS‐S). Study Design A total of 228 chronic pain patients completed a battery of self‐report surveys before or after a scheduled appointment. Setting Three outpatient medical clinics (pain medicine, orofacial pain, and clinical health psychology). Methods Confirmatory factor analysis, multivariate regression, and graded item response theory model analyses. Results Results of the CFAs suggested that a 3‐factor solution was optimal. A shortened 9‐item scale was identified based on the results of graded item response theory model analyses. Correlation and multivariate analyses supported the construct and incremental validity of the SCS‐S. Conclusions Results support the reliability and validity of the SCS‐S among chronic pain patients, and suggest the scale may be a useful method for identifying high‐risk patients in medical settings.