Examining Predictors of Different ABA Treatments: A Systematic Review

In the recent literature, there is a broad consensus on the effectiveness of Applied Behavior Analysis interventions for autism spectrum disorder (ASD). Despite their proven efficacy, research in clinical settings shows that these treatments are not equally effective for all children and the issue o...

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Main Authors: Mariangela Cerasuolo, Roberta Simeoli, Raffaele Nappo, Maria Gallucci, Luigi Iovino, Alessandro Frolli, Angelo Rega
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Behavioral Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-328X/12/8/267
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author Mariangela Cerasuolo
Roberta Simeoli
Raffaele Nappo
Maria Gallucci
Luigi Iovino
Alessandro Frolli
Angelo Rega
author_facet Mariangela Cerasuolo
Roberta Simeoli
Raffaele Nappo
Maria Gallucci
Luigi Iovino
Alessandro Frolli
Angelo Rega
author_sort Mariangela Cerasuolo
collection DOAJ
description In the recent literature, there is a broad consensus on the effectiveness of Applied Behavior Analysis interventions for autism spectrum disorder (ASD). Despite their proven efficacy, research in clinical settings shows that these treatments are not equally effective for all children and the issue of which intervention should be chosen for an individual remains a common dilemma. The current work systematically reviewed studies on predictors and moderators of response to different types of evidence-based treatment for children with ASD. Specifically, our goal was to critically review the relationships between pre-treatment child characteristics and specific treatment outcomes, covering different aspects of functioning (i.e., social, communicative, adaptive, cognitive, motor, global functioning, play, and symptom severity). Our results questioned the binomial “better functioning-better outcome”, emphasizing the complex interplay between pre-treatment child characteristics and treatment outcomes. However, some pre-treatment variables seem to act as prerequisites for a specific treatment, and the issue of “what works for whom and why” remains challenging. Future research should focus on the definition of evidence-based decision-making models that capture those individual factors through which a specific intervention will exert its effects.
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spelling doaj.art-7951a49f08194c33b8b1e13eeee26f782023-12-01T23:25:41ZengMDPI AGBehavioral Sciences2076-328X2022-08-0112826710.3390/bs12080267Examining Predictors of Different ABA Treatments: A Systematic ReviewMariangela Cerasuolo0Roberta Simeoli1Raffaele Nappo2Maria Gallucci3Luigi Iovino4Alessandro Frolli5Angelo Rega6Associazione Italiana Per L’Assistenza Spastici Onlus Sez Di Cicciano, 80033 Cicciano, ItalyDepartment of Humanistic Studies, University of Naples Federico II, 80138 Napoli, ItalyNeapolisanit S.R.L. Rehabilitation Center, 80044 Ottaviano, ItalyNeapolisanit S.R.L. Rehabilitation Center, 80044 Ottaviano, ItalyNeapolisanit S.R.L. Rehabilitation Center, 80044 Ottaviano, ItalyDisability Research Centre, Department of Sociology and Social Research, University of International Studies of Rome, 00147 Rome, ItalyDepartment of Humanistic Studies, University of Naples Federico II, 80138 Napoli, ItalyIn the recent literature, there is a broad consensus on the effectiveness of Applied Behavior Analysis interventions for autism spectrum disorder (ASD). Despite their proven efficacy, research in clinical settings shows that these treatments are not equally effective for all children and the issue of which intervention should be chosen for an individual remains a common dilemma. The current work systematically reviewed studies on predictors and moderators of response to different types of evidence-based treatment for children with ASD. Specifically, our goal was to critically review the relationships between pre-treatment child characteristics and specific treatment outcomes, covering different aspects of functioning (i.e., social, communicative, adaptive, cognitive, motor, global functioning, play, and symptom severity). Our results questioned the binomial “better functioning-better outcome”, emphasizing the complex interplay between pre-treatment child characteristics and treatment outcomes. However, some pre-treatment variables seem to act as prerequisites for a specific treatment, and the issue of “what works for whom and why” remains challenging. Future research should focus on the definition of evidence-based decision-making models that capture those individual factors through which a specific intervention will exert its effects.https://www.mdpi.com/2076-328X/12/8/267predictorapplied behavior analysisautismtreatment outcome
spellingShingle Mariangela Cerasuolo
Roberta Simeoli
Raffaele Nappo
Maria Gallucci
Luigi Iovino
Alessandro Frolli
Angelo Rega
Examining Predictors of Different ABA Treatments: A Systematic Review
Behavioral Sciences
predictor
applied behavior analysis
autism
treatment outcome
title Examining Predictors of Different ABA Treatments: A Systematic Review
title_full Examining Predictors of Different ABA Treatments: A Systematic Review
title_fullStr Examining Predictors of Different ABA Treatments: A Systematic Review
title_full_unstemmed Examining Predictors of Different ABA Treatments: A Systematic Review
title_short Examining Predictors of Different ABA Treatments: A Systematic Review
title_sort examining predictors of different aba treatments a systematic review
topic predictor
applied behavior analysis
autism
treatment outcome
url https://www.mdpi.com/2076-328X/12/8/267
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