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Differential Diagnosis of Autism Spectrum Disorder

by Katherine K. M. Stavropoulos

A clinical guide to distinguishing autism from overlapping conditions

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Paperback New English

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AlbakiReads Editorial

A clinical guide to distinguishing autism from overlapping conditions

Edited by Katherine K. M. Stavropoulos, this clinical reference addresses the diagnostic overlap between autism spectrum disorder and commonly co-occurring conditions. Its chapters compare ASD with a second diagnosis, including anxiety and attention deficit/hyperactivity disorder, drawing attention to both shared and distinguishing features. Case studies ground the material in examples of clinical decision-making, while illustrations and decision trees map the assessment process visually. The book is organized around diagnostic considerations and best practices for evaluating children when more than one condition may be relevant.

Good fit for readers who enjoy

  • Clinicians assessing children for autism spectrum disorder
  • Psychology and mental-health professionals seeking differential-diagnosis frameworks
  • Students and trainees in child assessment or psychopathology

Themes

Autism spectrum disorderDifferential diagnosisCo-occurring conditionsClinical assessmentDiagnostic decision-making

Based on publisher information and book metadata.

Book overview

Differential Diagnosis of Autism Spectrum Disorder provides a framework for clinical considerations and best practices related to diagnosing children with autism spectrum disorder (ASD) versus commonly co-occurring conditions. Differential diagnosis is a complex process, and it is common for clinicians to observe symptom overlap between conditions.

In this comprehensive text, the authors focus on the similarities and differences between ASD and a second diagnosis. Leading experts provide practical guidance in the diagnostic process for ASD versus a second condition, such as anxiety or attention deficit/hyperactivity disorder. Each chapter includes clinical case studies to provide real-world examples of how clinicians make diagnostic decisions. Ample illustrations and 'decision trees' provide a visual representation of clinical decision-making.
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