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THE STRUCTURED CLINICAL INTERVIEW FOR COMPLICATED GRIEF: RELIABILITY, VALIDITY, AND EXPLORATORY FACTOR ANALYSIS
Author(s) -
Bui Eric,
Mauro Christine,
Robinaugh Donald J.,
Skritskaya Natalia A.,
Wang Yuanjia,
Gribbin Colleen,
Ghesquiere Angela,
Horenstein Arielle,
Duan Naihua,
Reynolds Charles,
Zisook Sidney,
Simon Naomi M.,
Shear M. Katherine
Publication year - 2015
Publication title -
depression and anxiety
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.634
H-Index - 129
eISSN - 1520-6394
pISSN - 1091-4269
DOI - 10.1002/da.22385
Subject(s) - exploratory factor analysis , psychology , clinical psychology , reliability (semiconductor) , inter rater reliability , complicated grief , grief , anxiety , convergent validity , intraclass correlation , psychometrics , psychiatry , internal consistency , rating scale , developmental psychology , power (physics) , physics , quantum mechanics
Background Complicated grief (CG) has been recently included in the DSM‐5, under the term “persistent complex bereavement disorder,” as a condition requiring further study. To our knowledge, no psychometric data on any structured clinical interview for CG (SCI‐CG) is available to date. In this manuscript, we introduce the SCI‐CG, a 31‐item “SCID‐like” clinician‐administered instrument to assess the presence of CG symptoms. Methods Participants were 281 treatment‐seeking adults with CG (77.9% [ n = 219 ] women, mean age = 52.4, standard deviation [ SD ] = 17.8) who were assessed with the SCI‐CG and measures of depression, posttraumatic stress, anxiety, functional impairment. Results The SCI‐CG exhibited satisfactory internal consistency (α = .78), good test–retest reliability (interclass correlation [ ICC ] 0.68, 95% CI [ 0.60–0.75]), and excellent interrater reliability (ICC = 0.95, 95% CI [ 0.89–0.98 ] ). Exploratory factor analyses revealed that a five‐factor structure, explaining 50.3% of the total variance, was the best fit for the data. Conclusions The clinician‐rated SCI‐CG demonstrates good internal consistency, reliability, and convergent validity in treatment‐seeking individuals with CG and therefore can be a useful tool to assess CG. Although diagnostic criteria for CG have yet to be adequately validated, the SCI‐CG may facilitate this process. The SCI‐CG can now be used as a validated instrument in research and clinical practice.