Stability of initial autism spectrum disorder diagnoses in community settings

Amy M. Daniels, Rebecca E. Rosenberg, J. Kiely Law, Catherine Lord, Walter E. Kaufmann, Paul A. Law

Research output: Contribution to journalArticle

Abstract

The study's objectives were to assess diagnostic stability of initial autism spectrum disorder (ASD) diagnoses in community settings and identify factors associated with diagnostic instability using data from a national Web-based autism registry. A Cox proportional hazards model was used to assess the relative risk of change in initial ASD diagnosis as a function of demographic characteristics, diagnostic subtype, environmental factors and natural history. Autistic disorder was the most stable initial diagnosis; pervasive developmental disorder-not otherwise specified was the least stable. Additional factors such as diagnosing clinician, region, when in time a child was initially diagnosed, and history of autistic regression also were significantly associated with diagnostic stability in community settings. Findings suggest that the present classification system and other secular factors may be contributing to increasing instability of community-assigned labels of ASD.

Original languageEnglish (US)
Pages (from-to)110-121
Number of pages12
JournalJournal of Autism and Developmental Disorders
Volume41
Issue number1
DOIs
StatePublished - Jan 1 2011

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Keywords

  • Autism spectrum disorders
  • Children
  • Community settings
  • Diagnosis stability

ASJC Scopus subject areas

  • Developmental and Educational Psychology

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