Michelle Dawson posts

Post published on Bluesky on 2 Apr 2025 11:29

Bluesky DOI work crossref Extract quoted in the post Question asked by Dawson in the post External link integrated into the post Autism terms

"transdiagnostic dimensional alternatives" vs "the diagnostic conceptualization of autism"? onlinelibrary.wiley.com/doi/10.1111/... "While RDoC and HiTOP hold significant promise, they are still evolving and are not yet ready to replace the conceptualization of autism provided by the DSM or ICD"?

View on Bluesky

Structured cited links

1 cited resource

DOI work Fetched Post crossref

Lacey C. Chetcuti, Emily K. Spackman, Thomas W. Frazier, Andrew J. O. Whitehouse, Mirko Uljarević (2025). The autism phenotype and transdiagnostic dimensional frameworks. Developmental Medicine & Child Neurology, 67(9), 1130-1136. Wiley.

Publication date
24 Mar 2025
Identifier
10.1111/dmcn.16303
Authors
Lacey C. Chetcuti, Emily K. Spackman, Thomas W. Frazier, Andrew J. O. Whitehouse, Mirko Uljarević
Source
Developmental Medicine & Child Neurology
Details
67(9), 1130-1136
Reference type
article
Publisher
Wiley
Metadata source
crossref

Abstract

Abstract A reliable and valid diagnostic classification system is pivotal for guiding clinical decision‐making, facilitating rigorous and reproducible research findings, informing population‐level health planning and resource allocation, and promoting well‐being. However, the current categorical approaches, while foundational, have inherent limitations, including symptom overlap between diagnostic categories, heterogeneity, instability, unreliability, and a limited capacity to quantify individual variations. We outline several challenges regarding the diagnostic conceptualization of autism and propose how transdiagnostic dimensional alternatives might facilitate a more comprehensive understanding, assessment, and clinical care for this complex clinical condition. Research Domain Criteria and Hierarchical Taxonomy of Psychopathology are two distinct yet complementary dimensional approaches that have garnered the most empirical attention. In this review, we outline the central tenets of each approach in turn and explore their potential applications in enhancing understanding and addressing challenges associated with autism in both research and clinical practice.

Study authors in this cited reference