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Research-Based Intervention (RBI) for Autism Spectrum Disorder

Looking beyond Traditional Models and Outcome Measures for Clinical Trials

Bibliographic Data

ID15719306
AuthorsAntonio Narzisi (0000-0003-3996-3827, Fondazione Stella Maris, corresponding author), Yurena Alonso-Esteban (0000-0002-6715-4456, Universitat de València), Gabriele Masi (0000-0001-7770-926X, Fondazione Stella Maris), Francisco Alcantud Marín (0000-0001-6022-5437, Universitat de València)
Year2022
Volume9
Issue3
Pages430-430
Publication date2022-03-18
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueChildren (JOURNAL)
Journal identifiersISSN: 2227-9067 • E-ISSN: 2227-9067
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/children9030430
OpenAlexW4220896671
LanguageEN
Citations received2
References cited52

The rising prevalence of Autism Spectrum Disorders (ASD) has led to a quickly increasing need for effective interventions. Several criteria and measures have been developed to critically assess these interventions with particular focus on the evaluation of the efficacy. Given the huge diversity of ASD symptoms and the different levels of severity across individuals, identifying a one size fits all intervention approach is challenging, and the question What works and for whom? Remains still unanswered. Why do we seem to be dragging our feet on this fundamental issue? The main aim of this paper is to answer this question through four non-alternative points. First, there are a scarce number of studies with a solid methodology. Secondly, most trials on intervention efficacy for ASD are designed exclusively in terms of behavioral outcomes. Thirdly, there is a reduced use of biologically oriented outcome measures. Fourthly, in most clinical trials, appropriate practices emerging from research evidence are not systematically applied. A strong effort to improve the methodology of clinical trials is mandatory for the future of autism research. The development of a research-based intervention (RBI) perspective aimed at better integrating: (a) evidence-based approaches; (b) more sensitive behavioral outcome measures; and (c) biomarkers, with the aim of increasing a more detailed clustering of phenotypes, may strongly improve our approach to a precision medicine

Autism · Autism spectrum disorder · Clinical trial · Intervention (counseling · Outcome (game theory · Perspective (graphical · Psychiatry · Psychological intervention · Attention Deficit Hyperactivity Disorder · Autism Spectrum Disorder Research · Child Development and Digital Technology · Clinical Psychology · Computer Science · Medicine · Psychology · Artificial Intelligence

  • Ansiedad y trastornos del espectro del autismo

    Open Access•María Sarah Sánchez-Cueva, Francisco Alcantud Marín et al.•Siglo Cero•2022

  • Qeeg-Guided rTMS in Pediatric ASD with Contextual Evidence on Home-Based tDCS

    Open Access•Ani Aydin, Ali Yıldırım et al.•Children•2025

  • The Lancet Commission on the future of care and clinical research in autism

    Open Access•Catherine Lord, Tony Charman et al.•The Lancet•2022

  • Naturalistic Developmental Behavioral Interventions

    Open Access•Laura Schreibman, Géraldine Dawson et al.•Journal of Autism and Developmental…•2015

  • Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2018

    Open Access•Matthew J Maenner, Kelly Shaw et al.•MMWR. Surveillance Summaries•2021

  • Implementation of Video Feedback Within a Community Based Naturalistic Developmental Behavioral Intervention Program for Toddlers With ASD

    Open Access•Claire B Klein, Deanna Swain et al.•Frontiers in Psychiatry•2021

Unique citing works2
Citations per year0,5
Citation span2022 - 2025 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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