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Journal Article

Citation

Villegas AC, Dubois CM, Celano CM, Beale EE, Mastromauro CA, Stewart JG, Auerbach RP, Huffman JC, Hoeppner BB. Psychiatry Res. 2018; 262: 558-565.

Affiliation

Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA. Electronic address: bhoeppner@mgh.harvard.edu.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.psychres.2017.09.044

PMID

28954699

Abstract

The Concise Health Risk Tracking Self-Report (CHRT-SR) scale is a brief self-report instrument to assess suicide risk. Initial investigations have indicated good psychometric properties in psychiatric outpatients. The aims of this paper were to examine the construct validity and factor structure of the twelve- (CHRT-SR12) and seven-item (CHRT-SR7) versions and to test if clinically expected within-person changes in suicide risk over time were measurable using the CHRT-SR in two study cohorts hospitalized for suicidal ideation or behavior: (1) patients with major depressive disorder (MDD) who participated in a psychological intervention trial, n = 65, and (2) participants with bipolar disorder or MDD in an observational study, n = 44. The CHRT-SR12 and self-report measures of hopelessness, depression, and positive psychological states were administered during admission and several times post-discharge. Both versions showed good internal consistency in inpatients and confirmed the three-factor structure (i.e., hopelessness, perceived lack of social support and active suicidal ideation and plans) found in outpatients. CHRT-SR scores had strong correlations with negative and positive affective constructs in the expected directions, and indicated decreases in suicide risk following discharge, in line with clinical expectations. The CHRT-SR12 and CHRT-SR7 are promising self-report measures for assessing suicide risk in very high-risk patient populations.

Copyright © 2017. Published by Elsevier B.V.


Language: en

Keywords

Confirmatory factor analysis; Psychometrics; Sensitivity; Suicide; Validity

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