Feeding Difficulties Among Children With Special Needs: A Cross-Sectional Study From India

Deficits in feeding can lead to impairments in occupational performance for children with special needs. This correlational study assessed the relationship between oromotor deficits, behavior problems related to feeding, and caregiver perception of the behavior in children with special needs. We included children with neurodevelopmental disorders (n=79), between 2 and 12 years of chronological age, and their caregivers. Those fulfilling the selection criteria were administered the Behavioral Pediatric Feeding Assessment Scale (BPFAS) and Schedule for Oromotor Assessment (SOMA). More than half the sample had skill deficits and behavioral problems related to feeding. There was a statistically significant correlation of oromotor deficits with specific food consistencies and feeding-related behavior problems. Children with special needs have impaired participation in feeding. Deficits at the body system level are associated with parental and cultural factors, which would have to be mitigated to optimize performance.

The clinical usefulness of three depression screens for adolescents in India: A need in primary-care settings

Introduction:

Adolescent Depression (AD) although is widely prevalent and is a prioritized disorder, it is under-diagnosed and under reported in primary-care. We document the post-test probability of three measures and select the best measure for identifying AD in primary-care settings in India based on the clinical utility.

Materials and Methods:

Three measures have been validated in India for AD and thus can be further evaluated for primary-care use; we calculated the positive (+PTP) and negative (-PTP) post-test probability from the prevalence of AD in India for Beck Depression Inventory-21 item version (BDI-21), Patient Health Questionnaire-9 item version (PHQ-9), and Children's Depression Rating Scale-Revised version (CDRS-R) using the Bayes theorem. The usefulness of the measure was defined a priori based on the odds ratio (OR) of +PTP (OR > 3) and −PTP (OR < 0.1).

Results:

The +PTP and −PTP for BDI-21 was 43% (95%CI = 40, 45%; OR = 0.7) and 25% (95%CI = 13, 43%; OR = 0.3) respectively. Similarly, the +PTP and − PTP for PHQ-9 was 74% (95%CI = 66, 81%; OR = 2.9) and 10% (95%CI = 6, 17%; OR = 0.1). Finally, +PTP and − PTP for CDRS-R was 78% (95%CI = 69, 84%; OR = 3.5) and 12% (95%CI = 7, 18%; OR = 0.1). Only CDRS-R achieved the useful decided a priori as can be seen in the Fagan's Nomograms.

Conclusion:

This research provides the evidence base for selecting CDRS-R as the screening measure, for Adolescent Depression, for clinical use in Primary-care settings in India.

Neurodevelopmental disorders in children aged 2-9 years: Population-based burden estimates across five regions in India

BACKGROUND

Neurodevelopmental disorders (NDDs) compromise the development and attainment of full social and economic potential at individual, family, community, and country levels. Paucity of data on NDDs slows down policy and programmatic action in most developing countries despite perceived high burden.

METHODS AND FINDINGS

We assessed 3,964 children (with almost equal number of boys and girls distributed in 2-<6 and 6-9 year age categories) identified from five geographically diverse populations in India using cluster sampling technique (probability proportionate to population size). These were from the North-Central, i.e., Palwal (N = 998; all rural, 16.4% non-Hindu, 25.3% from scheduled caste/tribe [SC-ST] [these are considered underserved communities who are eligible for affirmative action]); North, i.e., Kangra (N = 997; 91.6% rural, 3.7% non-Hindu, 25.3% SC-ST); East, i.e., Dhenkanal (N = 981; 89.8% rural, 1.2% non-Hindu, 38.0% SC-ST); South, i.e., Hyderabad (N = 495; all urban, 25.7% non-Hindu, 27.3% SC-ST) and West, i.e., North Goa (N = 493; 68.0% rural, 11.4% non-Hindu, 18.5% SC-ST). All children were assessed for vision impairment (VI), epilepsy (Epi), neuromotor impairments including cerebral palsy (NMI-CP), hearing impairment (HI), speech and language disorders, autism spectrum disorders (ASDs), and intellectual disability (ID). Furthermore, 6-9-year-old children were also assessed for attention deficit hyperactivity disorder (ADHD) and learning disorders (LDs). We standardized sample characteristics as per Census of India 2011 to arrive at district level and all-sites-pooled estimates. Site-specific prevalence of any of seven NDDs in 2-<6 year olds ranged from 2.9% (95% CI 1.6-5.5) to 18.7% (95% CI 14.7-23.6), and for any of nine NDDs in the 6-9-year-old children, from 6.5% (95% CI 4.6-9.1) to 18.5% (95% CI 15.3-22.3). Two or more NDDs were present in 0.4% (95% CI 0.1-1.7) to 4.3% (95% CI 2.2-8.2) in the younger age category and 0.7% (95% CI 0.2-2.0) to 5.3% (95% CI 3.3-8.2) in the older age category. All-site-pooled estimates for NDDs were 9.2% (95% CI 7.5-11.2) and 13.6% (95% CI 11.3-16.2) in children of 2-<6 and 6-9 year age categories, respectively, without significant difference according to gender, rural/urban residence, or religion; almost one-fifth of these children had more than one NDD. The pooled estimates for prevalence increased by up to three percentage points when these were adjusted for national rates of stunting or low birth weight (LBW). HI, ID, speech and language disorders, Epi, and LDs were the common NDDs across sites. Upon risk modelling, noninstitutional delivery, history of perinatal asphyxia, neonatal illness, postnatal neurological/brain infections, stunting, LBW/prematurity, and older age category (6-9 year) were significantly associated with NDDs. The study sample was underrepresentative of stunting and LBW and had a 15.6% refusal. These factors could be contributing to underestimation of the true NDD burden in our population.

CONCLUSIONS

The study identifies NDDs in children aged 2-9 years as a significant public health burden for India. HI was higher than and ASD prevalence comparable to the published global literature. Most risk factors of NDDs were modifiable and amenable to public health interventions.

INCLEN Diagnostic Tool for Autism Spectrum Disorder (INDT-ASD): development and validation

OBJECTIVE

To develop and validate INCLEN Diagnostic Tool for Autism Spectrum Disorder (INDT-ASD).

DESIGN

Diagnostic test evaluation by cross sectional design.

SETTING

Four tertiary pediatric neurology centers in Delhi and Thiruvanthapuram, India.

METHODS

Children aged 2-9 years were enrolled in the study. INDT-ASD and Childhood Autism Rating Scale (CARS) were administered in a randomly decided sequence by trained psychologist, followed by an expert evaluation by DSM-IV TR diagnostic criteria (gold standard).

MAIN OUTCOME MEASURES

Psychometric parameters of diagnostic accuracy, validity (construct, criterion and convergent) and internal consistency.

RESULTS

154 children (110 boys, mean age 64.2 mo) were enrolled. The overall diagnostic accuracy (AUC=0.97, 95% CI 0.93, 0.99; P<0.001) and validity (sensitivity 98%, specificity 95%, positive predictive value 91%, negative predictive value 99%) of INDT-ASD for Autism spectrum disorder were high, taking expert diagnosis using DSM-IV-TR as gold standard. The concordance rate between the INDT-ASD and expert diagnosis for 'ASD group' was 82.52% [Cohen's k=0.89; 95% CI (0.82, 0.97); P=0.001]. The internal consistency of INDT-ASD was 0.96. The convergent validity with CARS (r = 0.73, P= 0.001) and divergent validity with Binet-Kamat Test of intelligence (r = -0.37; P=0.004) were significantly high. INDT-ASD has a 4-factor structure explaining 85.3% of the variance.

CONCLUSIONS

INDT-ASD has high diagnostic accuracy, adequate content validity, good internal consistency high criterion validity and high to moderate convergent validity and 4-factor construct validity for diagnosis of Autistm spectrum disorder.

Adolescent suicide: characterizing the need and identifying the predictive factors for preventive consultation or hospitalization in a rural community setting

BACKGROUND

Studies from India consistently document the highest suicide rates in the world, and the majority of completed suicides had been within adolescents.

OBJECTIVE

To characterize the need and identify the predictive factors for preventive consultation or hospitalization for adolescent suicide in a community setting.

SUBJECTS

We prospectively collected data from 500 adolescents in a rural South Indian community with independent, trained raters.

METHODS

The need for suicide prevention was measured with the SAD PERSONS scale, socio-economic status with the Modified Kuppusamy Scale, depression and anxiety disorders with the Beck Depression Inventory and the Screen for Child Anxiety Related Emotional Disorders, respectively. The relationship between predictors and the need for preventive action was analyzed with univariate and multivariate regression analyses and a predictive model was built.

RESULTS

Of those investigated, 2% and 0.6% required emergency consultation and hospitalization, respectively. Males needed more preventive action (p=0.04). Age (OR=3.40, p=0.07), gender (OR=3.13, p=0.05), presence of anxiety (OR=16.35, p=0.001), or depressive (OR=42.59, p=0.001) disorder independently predicted a need for protective action and, together, contributed to a parsimonious predictive model.

CONCLUSIONS

The majority of adolescents in the community do not require preventive steps to address suicide risk. These predictors could identify the high-risk adolescents for suicide prevention and reduce the burden of care in the community.

Diagnostic accuracy, reliability and validity of Childhood Autism Rating Scale in India

BACKGROUND

Since there is no established measure for autism in India, we evaluated the diagnostic accuracy, reliability and validity of Childhood Autism Rating Scale (CARS).

METHODS

Children and adolescents suspected of having autism were identified from the unit's database. Scale and item level scores of CARS were collected and analyzed. Sensitivity, specificity, likelihood ratios and predictive values for various CARS cut-off scores were calculated. Test-retest reliability and inter-rater reliability of CARS were examined. The dichotomized CARS score was correlated with the ICD-10 clinical diagnosis of autism to establish the criterion validity of CARS as a measure of autism. Convergent and divergent validity was calculated. The factor structure of CARS was demonstrated by principal components analysis.

RESULTS

A CARS score of > or =33 (sensitivity = 81.4%, specificity = 78.6%; area under the curve = 81%) was suggested for diagnostic use in Indian populations. The inter-rater reliability (ICC=0.74) and test-retest reliability (ICC=0.81) for CARS were good. Besides the adequate face and content validity, CARS demonstrated good internal consistency (Cronbach's alpha=0.79) and item-total correlation. There was moderate convergent validity with Binet-Kamat Test of Intelligence or Gessell's Developmental Schedule (r=0.42; P=0.01), divergent validity (r=-0.18; P=0.4) with ADD-H Comprehensive Teacher Rating Scale, and high concordance rate with the reference standard, ICD-10 diagnosis (82.52%; Cohen's kappa=0.40, P=0.001) in classifying autism. A 5-factor structure explained 65.34% of variance.

CONCLUSION

The CARS has strong psychometric properties and is now available for clinical and research work in India.