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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Format: | Article |
Language: | English |
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MDPI AG
2022-08-01
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Series: | Behavioral Sciences |
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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. |
first_indexed | 2024-03-09T10:01:35Z |
format | Article |
id | doaj.art-7951a49f08194c33b8b1e13eeee26f78 |
institution | Directory Open Access Journal |
issn | 2076-328X |
language | English |
last_indexed | 2024-03-09T10:01:35Z |
publishDate | 2022-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Behavioral Sciences |
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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