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Indian J Med Sci ; 2010 Feb; 64(2) 72-80
Article in English | IMSEAR | ID: sea-145488

ABSTRACT

Background: Adolescent depression needs to be identified and treated in the primary care settings. There is no clinician-rated measure validated in India for identifying depression among adolescents. Aim: We studied the diagnostic accuracy, reliability, and validity of Children's Depression Rating Scale - Revised (CDRS-R) for primary care pediatrics. Setting and Design: Prospective study in three schools in Southern India. Materials And Methods: Adolescents recruited were administered the CDRS-R by a pediatrician and clinical psychologist along with Beck Depression Inventory (BDI) for convergent validity. Impact of Event Scale (IES) for divergent validity and the ICD-10 clinical diagnosis of depressive disorders using modified Kiddie-SADS-Present and Lifetime Version (K-SADS-PL) interview as reference standard were administered by a psychiatrist independently. Appropriate statistical analyses for diagnostic accuracy, reliability, and validity were done. Results: A cut-off score of 30 (sensitivity = 83%, specificity = 84%; AUC in ROC = 87%) in CDRS-R is suggested for diagnosing depression. The inter-rater reliability (r = 0.73) and test-retest reliability (r = 0.98) was good. In addition to the adequate face and content validity, CDRS-R had good internal consistency (α = 0.76), high convergent (r = 0.71; P = 0.001), and divergent validity (r = 0.28; P = 0.20). There was moderate concordance with the reference standard of ICD-10 diagnosis (45.5%) in identifying depression and CDRS-R discriminated 80% of the other psychiatric morbidity. The six-factor structure explained 60.6% of variance. Conclusion: The CDRS-R showed strong psychometric properties and is now available for use in the primary-care pediatric practice in India.


Subject(s)
Adolescent , Child , Depressive Disorder/diagnosis , Depressive Disorder/epidemiology , Depressive Disorder/psychology , Humans , India/epidemiology , Primary Health Care , Psychiatric Status Rating Scales/statistics & numerical data , Psychometrics/statistics & numerical data
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