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Quantifying the Child–Therapist Interaction in ASD Intervention: An Observational Coding System

Background: Observational research plays an important part in developmental research due to its noninvasiveness. However, it has been hardly applied to investigate efficacy of the child–therapist interaction in the context of naturalistic developmental behavioral interventions (NDBI). In particular,...

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Autores principales: Bertamini, Giulio, Bentenuto, Arianna, Perzolli, Silvia, Paolizzi, Eleonora, Furlanello, Cesare, Venuti, Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998397/
https://www.ncbi.nlm.nih.gov/pubmed/33805630
http://dx.doi.org/10.3390/brainsci11030366
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author Bertamini, Giulio
Bentenuto, Arianna
Perzolli, Silvia
Paolizzi, Eleonora
Furlanello, Cesare
Venuti, Paola
author_facet Bertamini, Giulio
Bentenuto, Arianna
Perzolli, Silvia
Paolizzi, Eleonora
Furlanello, Cesare
Venuti, Paola
author_sort Bertamini, Giulio
collection PubMed
description Background: Observational research plays an important part in developmental research due to its noninvasiveness. However, it has been hardly applied to investigate efficacy of the child–therapist interaction in the context of naturalistic developmental behavioral interventions (NDBI). In particular, the characteristics of child–therapist interplay are thought to have a significant impact in NDBIs in children with autism spectrum disorder (ASD). Quantitative approaches may help to identify the key features of interaction during therapy and could be translated as instruments to monitor early interventions. Methods: n = 24 children with autism spectrum disorder (ASD) were monitored from the time of the diagnosis (T0) and after about one year of early intervention (T1). A novel observational coding system was applied to video recorded sessions of intervention to extract quantitative behavioral descriptors. We explored the coding scheme reliability together with its convergent and predictive validity. Further, we applied computational techniques to investigate changes and associations between interaction profiles and developmental outcomes. Results: Significant changes in interaction variables emerged with time, suggesting that a favorable outcome is associated with interactions characterized by increased synchrony, better therapist’s strategies to successfully engage the child and scaffold longer, more complex and engaging interchanges. Interestingly, data models linked interaction profiles, outcome measures and response trajectories. Conclusion: Current research stresses the need for process measures to understand the hows and the whys of ASD early intervention. Combining observational techniques with computational approaches may help in explaining interindividual variability. Further, it could disclose successful features of interaction associated with better response trajectories or to different ASD behavioral phenotypes that could require specific dyadic modalities.
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spelling pubmed-79983972021-03-28 Quantifying the Child–Therapist Interaction in ASD Intervention: An Observational Coding System Bertamini, Giulio Bentenuto, Arianna Perzolli, Silvia Paolizzi, Eleonora Furlanello, Cesare Venuti, Paola Brain Sci Article Background: Observational research plays an important part in developmental research due to its noninvasiveness. However, it has been hardly applied to investigate efficacy of the child–therapist interaction in the context of naturalistic developmental behavioral interventions (NDBI). In particular, the characteristics of child–therapist interplay are thought to have a significant impact in NDBIs in children with autism spectrum disorder (ASD). Quantitative approaches may help to identify the key features of interaction during therapy and could be translated as instruments to monitor early interventions. Methods: n = 24 children with autism spectrum disorder (ASD) were monitored from the time of the diagnosis (T0) and after about one year of early intervention (T1). A novel observational coding system was applied to video recorded sessions of intervention to extract quantitative behavioral descriptors. We explored the coding scheme reliability together with its convergent and predictive validity. Further, we applied computational techniques to investigate changes and associations between interaction profiles and developmental outcomes. Results: Significant changes in interaction variables emerged with time, suggesting that a favorable outcome is associated with interactions characterized by increased synchrony, better therapist’s strategies to successfully engage the child and scaffold longer, more complex and engaging interchanges. Interestingly, data models linked interaction profiles, outcome measures and response trajectories. Conclusion: Current research stresses the need for process measures to understand the hows and the whys of ASD early intervention. Combining observational techniques with computational approaches may help in explaining interindividual variability. Further, it could disclose successful features of interaction associated with better response trajectories or to different ASD behavioral phenotypes that could require specific dyadic modalities. MDPI 2021-03-13 /pmc/articles/PMC7998397/ /pubmed/33805630 http://dx.doi.org/10.3390/brainsci11030366 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Bertamini, Giulio
Bentenuto, Arianna
Perzolli, Silvia
Paolizzi, Eleonora
Furlanello, Cesare
Venuti, Paola
Quantifying the Child–Therapist Interaction in ASD Intervention: An Observational Coding System
title Quantifying the Child–Therapist Interaction in ASD Intervention: An Observational Coding System
title_full Quantifying the Child–Therapist Interaction in ASD Intervention: An Observational Coding System
title_fullStr Quantifying the Child–Therapist Interaction in ASD Intervention: An Observational Coding System
title_full_unstemmed Quantifying the Child–Therapist Interaction in ASD Intervention: An Observational Coding System
title_short Quantifying the Child–Therapist Interaction in ASD Intervention: An Observational Coding System
title_sort quantifying the child–therapist interaction in asd intervention: an observational coding system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998397/
https://www.ncbi.nlm.nih.gov/pubmed/33805630
http://dx.doi.org/10.3390/brainsci11030366
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