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A framework of evidence-based practice for digital support, co-developed with and for the autism community

A wide array of digital supports (such as apps) have been developed for the autism community, many of which have little or no evidence to support their effectiveness. A Delphi study methodology was used to develop a consensus on what constitutes good evidence for digital supports among the broader a...

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Autores principales: Zervogianni, Vanessa, Fletcher-Watson, Sue, Herrera, Gerardo, Goodwin, Matthew, Pérez-Fuster, Patricia, Brosnan, Mark, Grynszpan, Ouriel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7376625/
https://www.ncbi.nlm.nih.gov/pubmed/32026715
http://dx.doi.org/10.1177/1362361319898331
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author Zervogianni, Vanessa
Fletcher-Watson, Sue
Herrera, Gerardo
Goodwin, Matthew
Pérez-Fuster, Patricia
Brosnan, Mark
Grynszpan, Ouriel
author_facet Zervogianni, Vanessa
Fletcher-Watson, Sue
Herrera, Gerardo
Goodwin, Matthew
Pérez-Fuster, Patricia
Brosnan, Mark
Grynszpan, Ouriel
author_sort Zervogianni, Vanessa
collection PubMed
description A wide array of digital supports (such as apps) have been developed for the autism community, many of which have little or no evidence to support their effectiveness. A Delphi study methodology was used to develop a consensus on what constitutes good evidence for digital supports among the broader autism community, including autistic people and their families, as well as autism-related professionals and researchers. A four-phase Delphi study consultation with 27 panel members resulted in agreement on three categories for which evidence is required: reliability, engagement and effectiveness of the technology. Consensus was also reached on four key sources of evidence for these three categories: hands-on experience, academic sources, expert views and online reviews. These were differentially weighted as sources of evidence within these three categories. LAY ABSTRACT: Digital supports are any type of technologies that have been intentionally developed to improve daily living in some way. A wide array of digital supports (such as apps) have been developed for the autism community specifically, but there is little or no evidence of whether they work or not. This study sought to identify what types of evidence the autistic community valued and wanted to see provided to enable an informed choice to be made regarding digital supports. A consensus was developed between autistic people and their families, practitioners (such as therapists and teachers) as well as researchers, to identify the core aspects of evidence that everyone agreed were useful. In all, 27 people reached agreement on three categories for which evidence is required: reliability, engagement and the effectiveness of the technology. Consensus was also reached on four key sources of evidence for these three categories: hands-on experience, academic sources, expert views and online reviews. The resulting framework allows for any technology to be evaluated for the level of evidence identifying how effective it is. The framework can be used by autistic people, their families, practitioners and researchers to ensure that decisions concerning the provision of support for autistic people is informed by evidence, that is, ‘evidence-based practice’.
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spelling pubmed-73766252020-08-13 A framework of evidence-based practice for digital support, co-developed with and for the autism community Zervogianni, Vanessa Fletcher-Watson, Sue Herrera, Gerardo Goodwin, Matthew Pérez-Fuster, Patricia Brosnan, Mark Grynszpan, Ouriel Autism Original Articles A wide array of digital supports (such as apps) have been developed for the autism community, many of which have little or no evidence to support their effectiveness. A Delphi study methodology was used to develop a consensus on what constitutes good evidence for digital supports among the broader autism community, including autistic people and their families, as well as autism-related professionals and researchers. A four-phase Delphi study consultation with 27 panel members resulted in agreement on three categories for which evidence is required: reliability, engagement and effectiveness of the technology. Consensus was also reached on four key sources of evidence for these three categories: hands-on experience, academic sources, expert views and online reviews. These were differentially weighted as sources of evidence within these three categories. LAY ABSTRACT: Digital supports are any type of technologies that have been intentionally developed to improve daily living in some way. A wide array of digital supports (such as apps) have been developed for the autism community specifically, but there is little or no evidence of whether they work or not. This study sought to identify what types of evidence the autistic community valued and wanted to see provided to enable an informed choice to be made regarding digital supports. A consensus was developed between autistic people and their families, practitioners (such as therapists and teachers) as well as researchers, to identify the core aspects of evidence that everyone agreed were useful. In all, 27 people reached agreement on three categories for which evidence is required: reliability, engagement and the effectiveness of the technology. Consensus was also reached on four key sources of evidence for these three categories: hands-on experience, academic sources, expert views and online reviews. The resulting framework allows for any technology to be evaluated for the level of evidence identifying how effective it is. The framework can be used by autistic people, their families, practitioners and researchers to ensure that decisions concerning the provision of support for autistic people is informed by evidence, that is, ‘evidence-based practice’. SAGE Publications 2020-02-06 2020-08 /pmc/articles/PMC7376625/ /pubmed/32026715 http://dx.doi.org/10.1177/1362361319898331 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Articles
Zervogianni, Vanessa
Fletcher-Watson, Sue
Herrera, Gerardo
Goodwin, Matthew
Pérez-Fuster, Patricia
Brosnan, Mark
Grynszpan, Ouriel
A framework of evidence-based practice for digital support, co-developed with and for the autism community
title A framework of evidence-based practice for digital support, co-developed with and for the autism community
title_full A framework of evidence-based practice for digital support, co-developed with and for the autism community
title_fullStr A framework of evidence-based practice for digital support, co-developed with and for the autism community
title_full_unstemmed A framework of evidence-based practice for digital support, co-developed with and for the autism community
title_short A framework of evidence-based practice for digital support, co-developed with and for the autism community
title_sort framework of evidence-based practice for digital support, co-developed with and for the autism community
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7376625/
https://www.ncbi.nlm.nih.gov/pubmed/32026715
http://dx.doi.org/10.1177/1362361319898331
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