Literature DB >> 32847428

Rethinking "gold standards" and "best practices" in the assessment of autism.

Noah K Kaufman1.   

Abstract

Failure to correctly diagnosis autism is problematic in both the false-positive and false-negative directions. Diagnosing autism when it is not truly present can direct limited resources away from those who actually need the services, while also creating stress and confusion for individuals and families. In contrast, failure to correctly identify autism when it is indeed present can prevent individuals and families from receiving needed support, including early intervention services. Those familiar with current trends in autism assessment are likely aware of "gold standards" involving specific autism tests and "best practices" involving multi-disciplinary autism teams. Curiously, these "gold standard" and "best practice" proclamations have not been adequately scrutinized. The present article aims to address this gap in the literature by (a) discussing the value of autism tests/tools; (b) drawing attention to biasing influences in autism assessment; (c) identifying methodological flaws in "gold standard" autism assessment research; and (d) proposing that more assessment, not less, might be better in autism assessment. It is concluded that it is time to rethink "gold standards" and "best practices" in the assessment of autism.

Entities:  

Keywords:  ADI-R; ADOS; assessment; autism; autism spectrum disorder; neuropsychological; psychological; “best practices”; “gold standard”

Mesh:

Year:  2020        PMID: 32847428     DOI: 10.1080/21622965.2020.1809414

Source DB:  PubMed          Journal:  Appl Neuropsychol Child        ISSN: 2162-2965            Impact factor:   1.493


  3 in total

1.  Evaluation of an artificial intelligence-based medical device for diagnosis of autism spectrum disorder.

Authors:  Jonathan T Megerian; Sangeeta Dey; Raun D Melmed; Daniel L Coury; Marc Lerner; Christopher J Nicholls; Kristin Sohl; Rambod Rouhbakhsh; Anandhi Narasimhan; Jonathan Romain; Sailaja Golla; Safiullah Shareef; Andrey Ostrovsky; Jennifer Shannon; Colleen Kraft; Stuart Liu-Mayo; Halim Abbas; Diana E Gal-Szabo; Dennis P Wall; Sharief Taraman
Journal:  NPJ Digit Med       Date:  2022-05-05

2.  Feasibility and Impact of Integrating an Artificial Intelligence-Based Diagnosis Aid for Autism Into the Extension for Community Health Outcomes Autism Primary Care Model: Protocol for a Prospective Observational Study.

Authors:  Kristin Sohl; Rachel Kilian; Alicia Brewer Curran; Melissa Mahurin; Valeria Nanclares-Nogués; Stuart Liu-Mayo; Carmela Salomon; Jennifer Shannon; Sharief Taraman
Journal:  JMIR Res Protoc       Date:  2022-07-19

3.  The Psychometric Properties of the Gilliam Autism Rating Scale (GARS-3) with Kurdish Samples of Children with Developmental Disabilities.

Authors:  Sayyed Ali Samadi; Hana Noori; Amir Abdullah; Lizan Ahmed; Barez Abdalla; Cemal A Biçak; Roy McConkey
Journal:  Children (Basel)       Date:  2022-03-19
  3 in total

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