Health Knowledge About Early Diagnosis of Autism Spectrum Disorders: A Case for Soft Transdiagnostic Approaches to Better Represent the Clinical and Scientific Reality of ASD

Objective: This study explores the current state of science regarding DSM-5 diagnostic criteria for Autism Spectrum Disorder (ASD) in young children. It examines the effectiveness of existing diagnostic methods and evaluates the potential of transdiagnostic approaches for early intervention. Method: A systematic literature review was conducted using MEDLINE, PsycINFO, and the Psychology and Behavioral Sciences Collection, focusing on peer-reviewed studies published between 2020 and 2023. The search followed PRISMA guidelines, selecting articles investigating ASD diagnosis in toddlers and preschoolers using DSM-5 criteria, behavioral assessments, and emerging diagnostic tools. Results: Findings indicate that DSM-5 provides a structured framework for ASD diagnosis, but it has limitations in early identification. It is necessary to integrate multiple assessment tools. Recent research highlights transdiagnostic models, which move beyond rigid diagnostic categories to capture the complexities of ASD presentation in young children. Conclusion: The literature supports a shift towards a transdiagnostic approach that combines behavioral, biological, and environmental assessments. This study underscores the need for interdisciplinary collaboration to refine ASD diagnostic frameworks to ensure more accurate and timely diagnoses that better serve affected children and their families.