BACKGROUND: We aimed to evaluate the diagnostic accuracy of a highly structured diagnostic interview in relation to a semi-structured diagnostic procedure. We compared the World Health Organization Composite International Diagnostic Interview Short Form (CIDI-SF) in diagnosing major depressive episode (MDE) to consensus diagnoses based on the SCAN interview (Schedules for Clinical Assessment in Neuropsychiatry). METHOD: Subjects comprised a follow-up sample of 239 20-24-year-old former high-school students who were administered the SCAN and immediately thereafter the CIDI-SF. Concordance was estimated for 12-month MDE, using different cut-points of the CIDI-SF and for any affective disorders. RESULTS: Correspondence between instruments was moderate for MDE (kappa = 0.43, sensitivity 0.71, specificity 0.82), but better for any affective disorder (kappa = 0.60, sensitivity 0.70, specificity 0.90). Most false negatives suffered from their depression as much as those correctly identified by the CIDI-SF. False negativity was mainly due to not endorsing the stem questions of the CIDI-SF. Of the false positives almost half had an affective disorder other than MDE. CONCLUSIONS: The CIDI-SF seems to function best in identifying a broader category of affective disorders. It could be useful in large-scale community surveys where more extensive psychiatric interviews are not feasible.
BACKGROUND: We aimed to evaluate the diagnostic accuracy of a highly structured diagnostic interview in relation to a semi-structured diagnostic procedure. We compared the World Health Organization Composite International Diagnostic Interview Short Form (CIDI-SF) in diagnosing major depressive episode (MDE) to consensus diagnoses based on the SCAN interview (Schedules for Clinical Assessment in Neuropsychiatry). METHOD: Subjects comprised a follow-up sample of 239 20-24-year-old former high-school students who were administered the SCAN and immediately thereafter the CIDI-SF. Concordance was estimated for 12-month MDE, using different cut-points of the CIDI-SF and for any affective disorders. RESULTS: Correspondence between instruments was moderate for MDE (kappa = 0.43, sensitivity 0.71, specificity 0.82), but better for any affective disorder (kappa = 0.60, sensitivity 0.70, specificity 0.90). Most false negatives suffered from their depression as much as those correctly identified by the CIDI-SF. False negativity was mainly due to not endorsing the stem questions of the CIDI-SF. Of the false positives almost half had an affective disorder other than MDE. CONCLUSIONS: The CIDI-SF seems to function best in identifying a broader category of affective disorders. It could be useful in large-scale community surveys where more extensive psychiatric interviews are not feasible.
Authors: Thomas G McGuire; Margarita Alegria; Benjamin L Cook; Kenneth B Wells; Alan M Zaslavsky Journal: Health Serv Res Date: 2006-10 Impact factor: 3.402
Authors: Colter Mitchell; Daniel Notterman; Jeanne Brooks-Gunn; John Hobcraft; Irwin Garfinkel; Kate Jaeger; Iulia Kotenko; Sara McLanahan Journal: Proc Natl Acad Sci U S A Date: 2011-05-16 Impact factor: 11.205
Authors: S I Shyn; J Shi; J B Kraft; J B Potash; J A Knowles; M M Weissman; H A Garriock; J S Yokoyama; P J McGrath; E J Peters; W A Scheftner; W Coryell; W B Lawson; D Jancic; P V Gejman; A R Sanders; P Holmans; S L Slager; D F Levinson; S P Hamilton Journal: Mol Psychiatry Date: 2009-12-29 Impact factor: 15.992