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

Documentation of vaccine handling and service delivery at outreach immunization sessions across 27 districts of India

Background: Outreach sessions constitute a major share of routine immunization service under national program in India. Objective: To document the organisation, logistics, vaccine handling and services delivered during outreach sessions in India. Method: This cross-sectional study was undertaken at 136 outreach sessions across 27 districts in three states (Bihar-62, Gujarat-43 and Kerala-31). Data was collected on session organization, vaccine supply, handling, beneficiary interaction, documentation, and waste handling. Results: All essential items and vaccines were available at 52.2% and 59.7% of sessions. The overall beneficiary turnout was 72.6%. Matching diluents were available for 94.4% of lyophilised vaccine vials. All four messages were given to 58.8% beneficiaries and 40% were advised to wait for 30 minutes. Few sites received vaccine vials with unusable vaccine vial monitors and frozen free-sensitive vaccine vials. Conclusion: Program attention is needed to improve organisation, logistics and vaccine handling at the outreach sessions to ensure optimal service delivery and beneficiary experience. The supportive supervision and monitoring must be strengthened focusing on updated beneficiary list, vaccine handling, counselling and waste handling

Experience of establishing and coordinating a nationwide network for bidirectional intussusception surveillance in India: lessons for multisite research studies

Objectives To document and share the process of establishing the nationally representative multisite surveillance network for intussusception in India, coordination, data management and lessons learnt from the implementation.Design This study combined both retrospective and prospective surveillance approaches.Setting 19 tertiary care institutions were selected in India considering the geographic representation and public and private mixParticipants All children under-2 years of age with intussusceptionPrimary and secondary outcome measures The experience of site selection, regulatory approvals, data collection, quality assurance and network coordination were documented.Results The site selection process involved systematic and objective four steps including shortlisting of potential institutions, information seeking and telephonic interaction, site visits and site selection using objective criteria. Out of over 400 hospitals screened across India, 40 potential institutions were shortlisted and information was sought by questionnaire and interaction with investigators. Out of these, 25 institutes were visited and 19 sites were finally selected to participate in the study. The multistep selection process allowed filtering and identification of sites with adequate capacity and motivated investigators. The retrospective surveillance documented 1588 cases (range: 14–652 cases/site) and prospective surveillance recruited 621 cases (range: 5–191 cases/site). The multilayer quality assurance measures monitored and ensured protocol adherence, complete record retrieval and data completeness. The key challenges experienced included time taken for obtaining regulatory and ethical approvals, which delayed completion of the study. Ten sites continued with another multisite vaccine safety surveillance study.Conclusion The experience and results of this systematic and objective site selection method in India are promising. The systematic multistep site selection and data quality assurance methods presented here are feasible and practical. The lessons from the establishment and coordination of this surveillance network can be useful in planning, selecting the sites and conducting multisite and surveillance studies in India and developing countries

Association of meteorological parameters with intussusception in children aged under 2 years: results from a multisite bidirectional surveillance over 7 years in India

Objectives The study aimed to document the association between intussusception in Indian children and meteorological parameters and examine regional variations.Design A bidirectional (retrospective and prospective) surveillance between July 2010 and September 2017.Setting At 20 hospitals in India, retrospective case record review during July 2010 and March 2016 and prospective surveillance during April 2016 and September 2017 were performed.Participants 2161 children aged 2–24 months with first intussusception episode were included.Interventions The monthly mean meteorological parameters (temperature, sunshine, rainfall, humidity and wind speed) for the study sites were collected.Methods The association between monthly intussusception cases and meteorological parameters was examined at pooled, regional and site levels using Pearson (r) and Spearman’s rank-order (ρ) correlation, factorial analysis of variance, and Poisson regression or negative binomial regression analyses.Results The intussusception cases were highest in summer and lowest in autumn seasons. Pearson correlation analysis showed that temperature (r=0.056; p&lt;0.05), wind speed (r=0.134; p&lt;0.01) and humidity (r=0.075; p&lt;0.01) were associated with monthly intussusception cases. Spearman’s rank-order correlation analysis found that temperature (ρ=0.049; p&lt;0.05), wind speed (ρ=0.096; p&lt;0.01) and sunshine (ρ=0.051; p&lt;0.05) were associated with monthly intussusception cases. Poisson regression analysis resulted that monthly intussusception case was associated with rising temperature (North region, p&lt;0.01 and East region, p&lt;0.05), sunshine (North region, p&lt;0.01), humidity (East region, p&lt;0.01) and wind speed (East region, p&lt;0.01). Factorial analysis of variance revealed a significant seasonal difference in intussusception cases for pooled level (p&lt;0.05), 2–6 months age group (p&lt;0.05) and North region (p&lt;0.01). Significant differences in intussusception cases between summer and autumn seasons were observed for pooled (p&lt;0.01), children aged 2–6 months (p&lt;0.05) and 7–12 months (p&lt;0.05).Conclusions Significant correlations between intussusception cases and temperature, humidity, and wind speed were observed at pooled and regional level in India. A peak in summer months was noted, which may be used for prediction, early detection and referral for appropriate management of intussusception

Study recruitment profile.

<p>Study recruitment profile.</p

Prevalence estimates of NDDs for the five study districts according to age categories^*.

<p>Prevalence estimates of NDDs for the five study districts according to age categories^{<a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1002615#t004fn001" target="_blank">*</a>}.</p

Multivariable logistic regression analysis for risk factors for NDDs^#.

<p>Multivariable logistic regression analysis for risk factors for NDDs<a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1002615#t005fn001" target="_blank">^#</a>.</p

Background characteristics of study participants.

<p>Background characteristics of study participants.</p