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Clinical outcomes and associated predictors of early intervention in autism spectrum disorder: a study protocol

Anne Masi1, Cheryl Dissanayake2, Tasha Alach3

  • 1School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.

BMJ Open
|August 10, 2021
PubMed

Insights

This study identifies factors predicting outcomes in early intensive intervention (EII) for children with autism spectrum disorder. Understanding these predictors can help tailor EII for better results in children with autism.

Area of Science:

  • Pediatric Psychology
  • Developmental Psychology
  • Clinical Psychology

Background:

  • Early intervention is crucial for children with autism spectrum disorder (ASD), with earlier access to early intensive intervention (EII) programs linked to better outcomes.
  • However, significant variability exists in children's responses to EII, even when they receive similar programs.

Purpose of the Study:

  • To assess predictors of outcomes in EII for children with ASD.
  • To examine child and family characteristics at program entry that influence intervention success.
  • To explore the mediating role of family and psychosocial factors in EII outcomes.

Main Methods:

  • A prospective, multisite cohort study with a pre-post design was conducted across six Autism Specific Early Learning and Care Centres (ASELCCs) in Australia.
  • Data on child symptoms, cognitive and developmental skills, adaptive function, behaviors, parental stress, quality of life, and family characteristics were collected at entry and exit.
  • Predictors of change in scores from baseline to exit (approximately 12 months later) were analyzed.

Main Results:

  • Analysis focused on identifying child and family characteristics at entry that predict outcomes at exit following EII.
  • The study investigated the mediating influence of family and psychosocial factors on intervention effectiveness.
  • Primary outcome of interest was the change in scores from baseline to exit.

Conclusions:

  • Identifying predictors of EII outcomes is essential for optimizing intervention strategies for children with ASD.
  • Understanding variability in response can lead to more personalized and effective early intervention approaches.
  • This research aims to inform clinical practice and improve outcomes for children with autism spectrum disorder.
Abstract

Keywords:
child & adolescent psychiatrycommunity child healthdevelopmental neurology & neurodisability

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