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The BEHAVE application as a tool to monitor inclusive interventions for subjects with neurodevelopmental disorders
In the last few years, many educational and therapeutic interventions for young people with neurodevelopmental disorders are based on systematic monitoring of the outcomes. These interventions are typically conducted using single-case experimental designs, (SCEDs) a set of methods aimed at testing t...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889555/ https://www.ncbi.nlm.nih.gov/pubmed/36743629 http://dx.doi.org/10.3389/fpsyg.2022.943370 |
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author | Merlo, Gianluca Chifari, Antonella Chiazzese, Giuseppe Denaro, Paola Firrera, Noemi Savio, Nicola Lo Patti, Simona Palmegiano, Luisa Taibi, Davide Seta, Luciano |
author_facet | Merlo, Gianluca Chifari, Antonella Chiazzese, Giuseppe Denaro, Paola Firrera, Noemi Savio, Nicola Lo Patti, Simona Palmegiano, Luisa Taibi, Davide Seta, Luciano |
author_sort | Merlo, Gianluca |
collection | PubMed |
description | In the last few years, many educational and therapeutic interventions for young people with neurodevelopmental disorders are based on systematic monitoring of the outcomes. These interventions are typically conducted using single-case experimental designs, (SCEDs) a set of methods aimed at testing the effect of an intervention on a single subject or a small number of subjects. In SCEDs, an effective process of decision-making needs accurate, precise, and reliable data but also that caregivers and health professionals can gather information with minimal effort. The use of Information Communication Technologies in SCEDs can support the process of data collection and analysis, facilitating the collection of accurate and reliable data, providing reports accessible also by non-experts, and promoting interactions and sharing among clinicians, educators, and caregivers. The present paper introduces the BEHAVE application, a web-based highly customizable application, designed to implement SCEDs, supporting both data collection and automatic analysis of the datasets. Moreover, the paper will describe two case studies of kindergarten children with neurodevelopmental disorders, highlighting how the BEHAVE application supported the entire process, from data collection in multiple contexts to decision-making based on the analysis provided by the system. In particular, the paper describes the case studies of Carlo and Dario, two children with severe language and communication impairments, and the inclusive education interventions carried out to maximize their participation in a typical home and school setting increasing their mand repertoire. Results revealed an increase in the mand repertoire in both children who become able to generalize the outcomes to multiple life contexts. The active participation of the caregivers played a crucial role in the ability of children to use the learned skills in settings different from the ones they were learned in. |
format | Online Article Text |
id | pubmed-9889555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98895552023-02-02 The BEHAVE application as a tool to monitor inclusive interventions for subjects with neurodevelopmental disorders Merlo, Gianluca Chifari, Antonella Chiazzese, Giuseppe Denaro, Paola Firrera, Noemi Savio, Nicola Lo Patti, Simona Palmegiano, Luisa Taibi, Davide Seta, Luciano Front Psychol Psychology In the last few years, many educational and therapeutic interventions for young people with neurodevelopmental disorders are based on systematic monitoring of the outcomes. These interventions are typically conducted using single-case experimental designs, (SCEDs) a set of methods aimed at testing the effect of an intervention on a single subject or a small number of subjects. In SCEDs, an effective process of decision-making needs accurate, precise, and reliable data but also that caregivers and health professionals can gather information with minimal effort. The use of Information Communication Technologies in SCEDs can support the process of data collection and analysis, facilitating the collection of accurate and reliable data, providing reports accessible also by non-experts, and promoting interactions and sharing among clinicians, educators, and caregivers. The present paper introduces the BEHAVE application, a web-based highly customizable application, designed to implement SCEDs, supporting both data collection and automatic analysis of the datasets. Moreover, the paper will describe two case studies of kindergarten children with neurodevelopmental disorders, highlighting how the BEHAVE application supported the entire process, from data collection in multiple contexts to decision-making based on the analysis provided by the system. In particular, the paper describes the case studies of Carlo and Dario, two children with severe language and communication impairments, and the inclusive education interventions carried out to maximize their participation in a typical home and school setting increasing their mand repertoire. Results revealed an increase in the mand repertoire in both children who become able to generalize the outcomes to multiple life contexts. The active participation of the caregivers played a crucial role in the ability of children to use the learned skills in settings different from the ones they were learned in. Frontiers Media S.A. 2023-01-18 /pmc/articles/PMC9889555/ /pubmed/36743629 http://dx.doi.org/10.3389/fpsyg.2022.943370 Text en Copyright © 2023 Merlo, Chifari, Chiazzese, Denaro, Firrera, Savio, Patti, Palmegiano, Taibi and Seta. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Merlo, Gianluca Chifari, Antonella Chiazzese, Giuseppe Denaro, Paola Firrera, Noemi Savio, Nicola Lo Patti, Simona Palmegiano, Luisa Taibi, Davide Seta, Luciano The BEHAVE application as a tool to monitor inclusive interventions for subjects with neurodevelopmental disorders |
title | The BEHAVE application as a tool to monitor inclusive interventions for subjects with neurodevelopmental disorders |
title_full | The BEHAVE application as a tool to monitor inclusive interventions for subjects with neurodevelopmental disorders |
title_fullStr | The BEHAVE application as a tool to monitor inclusive interventions for subjects with neurodevelopmental disorders |
title_full_unstemmed | The BEHAVE application as a tool to monitor inclusive interventions for subjects with neurodevelopmental disorders |
title_short | The BEHAVE application as a tool to monitor inclusive interventions for subjects with neurodevelopmental disorders |
title_sort | behave application as a tool to monitor inclusive interventions for subjects with neurodevelopmental disorders |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889555/ https://www.ncbi.nlm.nih.gov/pubmed/36743629 http://dx.doi.org/10.3389/fpsyg.2022.943370 |
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