CDC Kerala 8: Effectiveness of a clinic based, low intensity, early intervention for children with autism spectrum disorder in India: a naturalistic observational study.

OBJECTIVE: To document the effectiveness of low intensity, clinic based intervention models for Autism Spectrum Disorders (ASD) in countries with low disability resources. METHODS: Thirty-nine participants with a mean (SD) of 36.03(11.15) mo were assessed before and after intervention with Childhood Autism rating scale (CARS), and at baseline with the Denver Developmental Screening Test for quantifying the effectiveness of the clinic-based intervention in ameliorating autism symptoms and studying the effect of developmental disability respectively. Developmental therapists in the clinic gave low-intensity group intervention for 45-60 min to the child through mother and encouraged to continue the training, for 3-4 h, at home to address the specific goals in the three ASD symptom clusters. Most of the children were also placed in play-schools. Follow-up support was given either on a weekly, fortnightly or monthly basis. Data was analyzed using appropriate bivariate and multivariate techniques. RESULTS: There was amelioration in the severity of autism after intervention, which was statistically and clinically significant. Intervention was useful to help children with mild to severe autism. CONCLUSIONS: Low-intensity, clinic-based intervention can be effectively used in situation where there is paucity of disability resources.

A meta-analysis of the diagnostic accuracy of Autism Diagnostic Observation Schedule Module-1 for autism spectrum disorders.

OBJECTIVE: Autism Diagnostic Observation Schedule (ADOS) is considered gold standard for the diagnosis of Autism Spectrum Disorders (ASD). The authors evaluated the cumulative diagnostic accuracy of ADOS-Module 1 (ADOS(M1)) using the original diagnostic algorithm with meta-analysis and meta-regression. METHODS: The authors, electronically and manually searched for studies from 1999 to 2013 that evaluated the accuracy of ADOS(M1) using the original diagnostic algorithm in detecting ASD. Primary results of Sensitivity (Sn), Specificity (Sp) and Diagnostic Odds Ratio (DOR) for ADOS(M1) were summarized using random-effects model. Summary Receiver Operating characteristic Curves and its Area Under the Curve (SROC-AUC) were used to summarize overall diagnostic accuracy of ADOS(M1). The modifying effects of quality of study and sample size, on the diagnostic odds ratio, were investigated using meta-regression. RESULTS: A total of 7 cross-sectional studies provided data on 4057 children. The pooled Sn, Sp, DOR and SROC-AUC for the overall diagnostic accuracy of ADOS (M1) were: 0.91 (95 %CI=0.89 to 0.93), 0.73 (95 % CI=0.69 to 0.76), 44.20 (95 %CI=15.89 to 122.95) and 0.90 respectively [corrected]. Meta-regression analysis showed a non-significant relationship between ADOS(M1) and study quality as well as sample size. There were subgroup differences in the DOR. CONCLUSIONS: It is concluded that ADOS (M1) with the original diagnostic algorithm has the overall diagnostic accuracy and pooled specificity suggesting moderate accuracy. The pooled sensitivity is high to be used as a screening test for Autism Spectrum Disorders. ADOS( M1)with the revised diagnostic algorithm should be used for diagnostic purpose [corrected] ADOS(M1) with the revised diagnostic algorithm should be used instead for the diagnosis of this group of disorders.

Priority mental health disorders of children and adolescents in primary-care pediatric settings in India 4: training and capacity building.

Training in the primary-care child and adolescent mental health should take into consideration the local milieu, national health care education and development. It should aim to improve the mental health knowledge, competency as well as develop professional relationships between various primary, secondary and tertiary-care mental health providers to enhance outcomes. The collaborative training between the various stakeholders in the Child and Adolescent Mental Health (CAMH) should be enhanced. Currently, the favoured methods, to augment the training for practicing Primary-care Physicians, like CME and short training programs with their specific goals, settings and methodology are well documented. However, to improve the skills in CAMH for medical trainees at undergraduate and postgraduate levels, restructuring of the curriculum is essential.

Comparison of a self-rated and a clinician-rated measure for identifying depression among adolescents in a primary-care setting.

OBJECTIVE: To compare the diagnostic accuracy of a self-rated and a clinician rated measure of depression for primary care use in school setting by pediatricians. METHODS: Two tools for screening depression were administered to early adolescents in three schools. These included the self-rated Beck Depression Inventory (BDI), pediatrician rated Children's Depression Rating Scale-Revised (CDRS-R), and ICD-10 clinical interview by a psychiatrist as reference standard. These tools were compared for their overall performance using Areas Under the Curve (AUC) of Receiver Operating Characteristic (ROC) curves. The optimal screening threshold score for both tools were identified from their sensitivity and specificity plotted for all threshold scores. For the optimal cut-off scores, the diagnostic accuracy parameters like sensitivity, specificity, predictive values, likelihood ratio and diagnostic odds ratio were calculated using contingency table. RESULTS: The area under the curve for BDI was 0.67 and CDRS was 0.50 suggesting that BDI as a screening tool has better diagnostic accuracy. The optimal screening threshold score for BDI was 18 with a sensitivity of 63 and specificity of 70. For the CDRS-R cut-off score of 59, the sensitivity was 36 and specificity was 82 respectively. Using both tools concurrently improved the diagnostic accuracy. CONCLUSIONS: Using the ROC characteristics and various validity indices, the authors showed that BDI has better sensitivity and CDRS-R a better specificity. It might be prudent to use both these instrument simultaneously to improve the identification of depression in primary care settings like school health clinic.