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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,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-7998397 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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