Aa. Komiti et al., A comparison of the Composite International Diagnostic Interview (CIDI-Auto) with clinical assessment in diagnosing mood and anxiety disorders, AUST NZ J P, 35(2), 2001, pp. 224-230
Objective: Increasingly, epidemiological studies are employing computerized
and highly standardized interviews, such as the Composite International Di
agnostic Interview (CIDI-Auto), to assess the prevalence of psychiatric ill
ness. Recent studies conducted in specialist units have reported poor agree
ment between experienced clinicians' and CIDI-Auto diagnoses. In this study
we investigated the concordance rate between clinicians and the CIDI-Auto
for the diagnosis of six anxiety disorders and two mood disorders, whereby
the CIDI-Auto was treated as the 'gold standard'.
Method: Subjects were 262 patients who were assessed by a clinical psycholo
gist or psychiatrist and completed the CIDI-Auto at a tertiary referral uni
t for anxiety and mood disorders. Agreement between the clinicians diagnose
s and the diagnoses generated by the CIDI-Auto according to both DSM-IV and
ICD-10 codes, were examined by kappa statistics. Sensitivity and specifici
ty values were also calculated.
Results: Agreement between clinicians and the CIDI-Auto (DSM-IV) ranged fro
m poor for social phobia and posttraumatic stress disorder (kappa < 0.30) t
o moderate for obsessive-compulsive disorder (OCD; <kappa> = 0.52). Agreeme
nt between clinicians and the CIDI-Auto (ICD-10) ranged from poor for major
depressive episode (kappa = 0.25) to moderate for OCD (kappa = 0.57). With
the CIDI diagnosis treated as the gold standard, clinicians diagnoses show
ed low sensitivity (kappa < 0.70) for all the disorders except for OCD (for
ICD-10), but high specificity (<kappa> > 0.70) for all the disorders.
Conclusion: Poor agreements between experienced clinicians and the CIDI-Aut
o were reported for anxiety and mood disorders in the current study, A majo
r implication is that if diagnosis alone directed treatment, then patients
could receive different treatments, depending on whether the computer, or a
clinician, made the diagnosis.