scholarly journals Implementing systems-based innovations to improve access to early screening, diagnosis, and treatment services for children with autism spectrum disorder: An Autism Spectrum Disorder Pediatric, Early Detection, Engagement, and Services network study

Autism ◽  
2018 ◽  
Vol 23 (3) ◽  
pp. 653-664 ◽  
Author(s):  
Sarabeth Broder Fingert ◽  
Alice Carter ◽  
Karen Pierce ◽  
Wendy L Stone ◽  
Amy Wetherby ◽  
...  

In 2013, the National Institute of Mental Health funded five trials of unique, multicomponent, systems-based innovations designed to improve access to early screening, diagnosis, and treatment of autism spectrum disorder—collectively known as the Autism Spectrum Disorder Pediatric, Early Detection, Engagement, and Services Network. As part of an ongoing effort to pool data and learn from shared experience, we collected information across all studies about innovation components and implementation strategies. First, each study group completed standardized checklists based on the Template for Intervention Description and Replication and the Expert Recommendation for Implementing Change. Then, we interviewed principal and co-investigators of each study (n = 9) to further explore innovation components and assess barriers and facilitators to implementation. Innovation strategies were diverse (five different autism spectrum disorder screeners were used, 40% included early intervention trainings, 60% involved new technology). Common implementation strategies included developing stakeholder relationships and provider trainings. Barriers included inefficient systems of care, difficulty engaging families in the innovations, provider attitudes, and organizational culture (e.g. difficulty changing clinic processes). These findings suggest that—despite diverse settings and a variety of innovation content—common facilitators and challenges exist in implementing innovations to enhance access to early autism spectrum disorder screening, diagnosis, and treatment.

2020 ◽  
Author(s):  
Aida Khozaei ◽  
Hadi Moradi ◽  
Reshad Hosseini ◽  
Hamidreza Pouretemad ◽  
Bahareh Eskandari

AbstractDue to the importance of automatic and early autism screening, in this paper, a cry-based screening approach for children with Autism Spectrum Disorder (ASD) is introduced. During the study, we realized that the ASD specific features are not necessarily observable among all children with ASD and among all instances of each child. Therefore, we proposed a new classification approach to be able to find such features and their corresponding instances. We tested the proposed approach and found two features that can be used to distinguish groups of children with ASD from Typically Developing (TD) children. In other words, these features are present in subsets of children with ASD not all of them. The approach has been tested on a dataset including 14 boys and 7 girls with ASD and 14 TD boys and 7 TD girls, between 18 to 53 months old. The sensitivity, specificity, and precision of the proposed approach for boys were 85.71%, 100%, and 92.85%, respectively. These measures were 71.42%, 100%, and 85.71% for girls, respectively.


Author(s):  
Thanga Aarthy M. ◽  
Menaka R. ◽  
Karthik R.

Children with neurodevelopmental disorders are increasing gradually every year. One in 100 children are diagnosed with brain function disorder. There are wide categories of disorder such as attention deficit hyperactive disorder, learning, autism spectrum disorder (ASD), etc. In this work, the focus is on ASD, its clinical methods, and analysis in various research works. ASD is a neurodevelopmental disorder which affects the intellectual functioning, social interaction (adaptive behavior), and has a specific obsessive interest. At present, there is no known cure for ASD, but the level of the pathological condition can be reduced when it is detected early. Early detection is tough and challenging till date. Many researches were carried out to ease the early detection for clinicians. Each method has its own merits and demerits. This chapter reviews and condenses various research works and their efficacy in analysis for the early diagnosis and improvement in children with autism.


2014 ◽  
Vol 36 (4) ◽  
pp. 195-207 ◽  
Author(s):  
Trisha L. Self ◽  
Douglas F. Parham ◽  
Jagadeesh Rajagopalan

2017 ◽  
Vol 24 (1) ◽  
pp. 94-103 ◽  
Author(s):  
Benjamin Zablotsky ◽  
Matthew D. Bramlett ◽  
Stephen J. Blumberg

Objective: Children with ADHD frequently present with autism spectrum disorder (ASD) symptomatology, yet there is a notable gap in the treatment needs of this subpopulation, including whether the presence of ASD may be associated with more severe ADHD symptoms. Method: Data from the 2014 National Survey of the Diagnosis and Treatment of ADHD and Tourette Syndrome ( n = 2,464) were used to compare children diagnosed with ADHD and ASD with children with ADHD, but not ASD. Children were classified as needing treatment if it was received or their parents reported it was needed, but not received. Results: Approximately one in eight children currently diagnosed with ADHD was also diagnosed with ASD. Children diagnosed with both disorders had greater treatment needs, more co-occurring conditions, and were more likely to have a combined hyperactive/impulsive and inattentive ADHD subtype. Conclusion: These findings highlight the complexity of children diagnosed with both ADHD and ASD.


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