Assessment of Severity of Autism Using the Indian Scale for Assessment of Autism

Chakraborty, Surajit; Thomas, Pramod; Bhatia, Triptish; Nimgaonkar, Vishwajit L.; Deshpande, Smita N.

doi:10.4103/0253-7176.155616

Cited by 30 publications

(26 citation statements)

References 22 publications

(26 reference statements)

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“…This increase though in slow pace indicate the alarming increase in the prevalence of ASD in India. One recent study evaluated the ISAA in relation to the Childhood Autism Rating Scale (CARS) and the Developmental Disability- Children Global Assessment Scale (DD-CGAS) [ 32 ]. Another prevalence study that was excluded from this review was limited to siblings of children with ASD and almost equal in male and female siblings [ 33 ].…”

Section: Discussionmentioning

confidence: 99%

Autism Spectrum disorders (ASD) in South Asia: a systematic review

Hossain¹,

Ahmed²,

Uddin³

et al. 2017

BMC Psychiatry

107

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BackgroundAutism spectrum disorders (ASD) are a group of complex neurodevelopmental disorders. The prevalence of ASD in many South Asian countries is still unknown. The aim of this study was to systematically review available epidemiological studies of ASD in this region to identify gaps in our current knowledge.MethodsWe searched, collected and evaluated articles published between January 1962 and July 2016 which reported the prevalence of ASD in eight South Asian countries. The search was conducted in line with the PRISMA guidelines.ResultsWe identified six articles from Bangladesh, India, and Sri Lanka which met our predefined inclusion criteria. The reported prevalence of ASD in South Asia ranged from 0.09% in India to 1.07% in Sri Lanka that indicates up to one in 93 children have ASD in this region. Alarmingly high prevalence (3%) was reported in Dhaka city. Study sample sizes ranged from 374 in Sri Lanka to 18,480 in India. The age range varied between 1 and 30 years. No studies were found which reported the prevalence of ASD in Pakistan, Nepal, Bhutan, Maldives and Afghanistan. This review identifies methodological differences in case definition, screening instruments and diagnostic criteria among reported three countries which make it very difficult to compare the studies.ConclusionsOur study is an attempt at understanding the scale of the problem and scarcity of information regarding ASD in the South Asia. This study will contribute to the evidence base needed to design further research and make policy decisions on addressing this issue in this region. Knowing the prevalence of ASD in South Asia is vital to ensure the effective allocation of resources and services.

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Section: Discussionmentioning

confidence: 99%

Autism Spectrum disorders (ASD) in South Asia: a systematic review

Hossain¹,

Ahmed²,

Uddin³

et al. 2017

BMC Psychiatry

107

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“…One of the methods used to assess an individuals’ level of autism is the Indian Scale for Assessment of Autism (ISAA). 31,32 An app based on the ISAA with English and Hindi versions was developed to help parents, particularly in India, to evaluate their child’s level of autism by answering 40 questions covering different autism areas. Each question has a number of alternatives and the user navigates through a large number of screens to receive their end score and its corresponding autism rate.…”

Section: Literature Review: Common Asdtests Mobile Applicationsmentioning

confidence: 99%

An accessible and efficient autism screening method for behavioural data and predictive analyses

Thabtah

2018

Health Informatics J

105

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Autism spectrum disorder is associated with significant healthcare costs, and early diagnosis can substantially reduce these. Unfortunately, waiting times for an autism spectrum disorder diagnosis are lengthy due to the fact that current diagnostic procedures are time-consuming and not cost-effective. Overall, the economic impact of autism and the increase in the number of autism spectrum disorder cases across the world reveal an urgent need for the development of easily implemented and effective screening methods. This article proposes a new mobile application to overcome the problem by offering users and the health community a friendly, time-efficient and accessible mobile-based autism spectrum disorder screening tool called ASDTests. The proposed ASDTests app can be used by health professionals to assist their practice or to inform individuals whether they should pursue formal clinical diagnosis. Unlike existing autism screening apps being tested, the proposed app covers a larger audience since it contains four different tests, one each for toddlers, children, adolescents and adults as well as being available in 11 different languages. More importantly, the proposed app is a vital tool for data collection related to autism spectrum disorder for toddlers, children, adolescent and adults since initially over 1400 instances of cases and controls have been collected. Feature and predictive analyses demonstrate small groups of autistic traits improving the efficiency and accuracy of screening processes. In addition, classifiers derived using machine learning algorithms report promising results with respect to sensitivity, specificity and accuracy rates.

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“…Children with diagnosis of autism were further assessed with Childhood Autism Rating Scale (CARS) and Indian Scale for Assessment of Autism (ISAA). [10,11] The data thus collected was analyzed using descriptive statistics for discrete and continuous variables. Chi-square test was used for comparing the categorical variables and ttest was used for comparing the continuous variables.…”

Section: Methodsmentioning

confidence: 99%

Study of Abnormal Palmer Creases in Children With Autism Spectrum Disorder: A Case-Control Study in North India

Gupta

Kharb

Sethi

2021

PIJR

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INTRODUCTION: Autism Spectrum Disorder is a neurodevelopmental disorder characterized mainly by deficits in social and communication patterns. Aberrant gene environment interactions during fetal development leads to formation of minor physical anomalies such as abnormal palmar creases commonly seen in autism spectrum disorder. AIM: To compare the prevalence of abnormal palmar creases in children with autism spectrum disorder and typically developing children. METHODOLOGY:It was a case controlled cross sectional study conducted in departments of Psychiatry and Pediatrics of Pt. B.D. Sharma, PGIMS Rohtak. Fifty children of age 4-16 years with diagnosis of autism spectrum disorder (case group) and fifty typically developing children (control group) were recruited. A digital camera of 13 megapixels was used to click photographs of the palms of children. Palmar crease patterns of fifty children with diagnosis of autism spectrum disorder were compared with the control group. RESULTS:The prevalence of abnormal palmar creases in case group was higher (47%) than in control group (14%).The prevalence of Simian crease in case group was double (22%) as compared to one in control group i.e. 11%. The prevalence of Sydney crease in case group was 21%, while in control group it was only 3%. The prevalence of Suwon crease in case group was 4%,while it was not seen in control group. CONCLUSION:Children with abnormal palmar creases help in early screening of neurodevelopmental disorders such as autism spectrum disorder helping in early management of these children leading to better outcomes and alleviation of parental stress and burden

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Assessment of Severity of Autism Using the Indian Scale for Assessment of Autism

Cited by 30 publications

References 22 publications

Autism Spectrum disorders (ASD) in South Asia: a systematic review

Autism Spectrum disorders (ASD) in South Asia: a systematic review

An accessible and efficient autism screening method for behavioural data and predictive analyses

Study of Abnormal Palmer Creases in Children With Autism Spectrum Disorder: A Case-Control Study in North India

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