Improving Behavior Challenges and Quality of Life in the Autism Learning Health Network

Julia S Anixt1,2,3, Donna S Murray4,2,5, Daniel L Coury6

  • 1Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio; julia.anixt@cchmc.org.

Pediatrics
|April 3, 2020
PubMed

Insights

Most children with autism spectrum disorder (ASD) exhibit challenging behaviors like ADHD, irritability, and anxiety. This study highlights key areas for intervention to improve their quality of life and health outcomes.

Area of Science:

  • Pediatric Health
  • Neurodevelopmental Disorders
  • Autism Spectrum Disorder (ASD) Research

Background:

  • The Autism Learning Health Network was established to enhance care and outcomes for children with ASD.
  • Baseline data collection is crucial for understanding the needs of children with ASD.

Purpose of the Study:

  • To summarize baseline data and lessons learned from the Autism Learning Health Network.
  • To identify key areas for improving care and outcomes for children with ASD, focusing on challenging behaviors, co-occurring conditions, quality of life (QoL), and health service receipt.

Main Methods:

  • A cross-sectional study involving 530 children aged 3-12 years with ASD across 13 sites.
  • Parent-reported data on behavioral challenges, co-occurring conditions, and health services.
  • Utilized the Aberrant Behavior Checklist and Patient-Reported Outcomes Measurement Information System (PROMIS) Global Health Measure.

Main Results:

  • 93% of parents reported challenging behaviors, with attention-deficit/hyperactivity disorder (ADHD), irritability, and anxiety being most common.
  • Children with ASD had lower QoL scores compared to the general pediatric population.
  • Most children received recommended well-child (94%) and dental (85%) care.

Conclusions:

  • Baseline data confirm the need to address challenging behaviors in children with ASD.
  • Prioritized intervention targets include ADHD, irritability, and anxiety.
  • Identified areas for improving behavior management strategies and data collection processes.
Abstract

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