Factors Affecting Quality of Life in Adolescent Siblings of Children With Autism Spectrum Disorder.

OBJECTIVE: To compare the quality of life (QoL) of adolescent siblings of children with autism spectrum disorder (ASD-Sibs) with siblings of typically developing children (TD-Sibs), and study the factors affecting the QoL. METHODS: Between 1 February, 2021 and 31 September, 2021, 40 children aged 10-18 years, whose sibling was suffering from ASD, were enrolled (Study group). 40 age- and sex-matched siblings of children with no clinically apparent neuro- developmental abnormality or behavioral problem were also enrolled (Control group). Severity of autism was assessed by using the childhood autism rating scale 2 (CARS-2) score. QoL was assessed by a validated version of the World Health Organi-zation Quality of Life questionnaire Brief version (WHO QoL BREF), and compared between cases and controls using Wilcoxon rank sum test. RESULTS: The mean (SD) age of study participants was 13.55 (2.75) years. The mean (SD) CARS-2 score of our sample was 35.78 (5.23). Mild to moderate autism was seen in 23 (57.5%) children, and 13 (32.5%) had severe autism. The median (IQR) QoL in ASD-Sibs was worse than TD-Sibs in physical domain (24 (19,26) vs 32 (29,32); P<0.001), psychological domain (22 (17,23) vs 25 (23,25); P<0.001), social domain (11 (8,12) vs 13 (11,14); P<0.001), and environmental domain (28 (26,31) vs 35 (31,35); P<0.001). Among the ASD-Sibs, severity of the sibling's ASD and the family's socioeconomic status were the only two factors significantly affecting one of the domains of QoL. CONCLUSION: The observed lower QoL score in adolescent siblings of children with ASD, more so in those whose siblings had more severe ASD, suggests the need for targeting the family as a unit while formulating plans for holistic management of children with ASD.

Practical Aspects of ASD Management-What Pediatricians Should Know.

The increasing prevalence of autism spectrum disorder (ASD) warrants higher levels of clinical attention to optimally manage children with ASD. There is mounting evidence that early intervention programs can help improve developmental functioning, maladaptive behaviors, and core ASD symptoms. The most thoroughly investigated and evidence-based therapies have been developmental, behavioral, and educational interventions mediated by either professionals or parents. Other commonly available interventions include speech and language therapy, occupational therapy, and social skills training. Pharmacological interventions, where needed, are used as an adjunct to treat severe problem behaviors and manage medical and psychiatric comorbidities. Complementary or alternative medicine (CAM) approaches have not proven to be of any benefit, and some of them may be harmful to the child. As the child's first point of contact, the pediatrician is well-positioned to effectively guide the families to therapies that are evidence-based and safe and also collaborate with various specialists to provide seamless, coordinated care for these children so as to improve their developmental outcomes and social functioning.

Development of a cost of illness inventory questionnaire for children with autism spectrum disorder in South Asia.

BACKGROUND: The economic burden of autism is substantial and includes a range of costs, including healthcare, education, productivity losses, informal care and respite care, among others. In India, approximately, 2 million children aged 2-9 years have autism. Given the likely substantial burden of illness and the need to identify effective and cost-effective interventions, this research aimed to produce a comprehensive cost of illness inventory (COII) suitable for children with autism in South Asia (India) to support future research. METHODS: A structured and iterative design process was followed to create the COII, including literature reviews, interviews with caregivers, pilot testing and translation. Across the development of the COII, thirty-two families were involved in the design and piloting of the tool. The COII was forward translated (from English to Hindi) and back translated. Each stage of the process of development of the COII resulted in the further refinement of the tool. RESULTS: Domains covered in the final COII include education, childcare, relocation, healthcare contacts (outpatient, inpatient, medical emergencies, investigations and medication), religious retreats and rituals, specialist equipment, workshops and training, special diet, support and care, certification, occupational adjustments and government rebates/schemes. Administration and completion of the COII determined it to be feasible to complete in 35 minutes by qualified and trained researchers. The final COII is hosted by REDCap Cloud and is a bilingual instrument (Hindi and English). CONCLUSIONS: The COII was developed using experiences gathered from an iterative process in a metropolitan area within the context of one low- and middle-income country (LMIC) setting, India. Compared to COII tools used for children with autism in high-income country settings, additional domains were required, such as complimentary medication (e.g. religious retreats and homeopathy). The COII will allow future research to quantify the cost of illness of autism in India from a broad perspective and will support relevant economic evaluations. Understanding the process of developing the questionnaire will help researchers working in LMICs needing to adapt the current COII or developing similar questionnaires.