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A Digital Mental Health App Incorporating Wearable Biosensing for Teachers of Children on the Autism Spectrum to Support Emotion Regulation: Protocol for a Pilot Randomized Controlled Trial

BACKGROUND: As much as 80% of children on the autism spectrum exhibit challenging behaviors (ie, behaviors dangerous to the self or others, behaviors that interfere with learning and development, and behaviors that interfere with socialization) that can have a devastating impact on personal and fami...

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Autores principales: Palermo, Emma H, Young, Amanda V, Deswert, Sky, Brown, Alyssa, Goldberg, Miranda, Sultanik, Evan, Tan, Jessica, Mazefsky, Carla A, Brookman-Frazee, Lauren, McPartland, James C, Goodwin, Matthew S, Pennington, Jeffrey, Marcus, Steven C, Beidas, Rinad S, Mandell, David S, Nuske, Heather J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337316/
https://www.ncbi.nlm.nih.gov/pubmed/37358908
http://dx.doi.org/10.2196/45852
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author Palermo, Emma H
Young, Amanda V
Deswert, Sky
Brown, Alyssa
Goldberg, Miranda
Sultanik, Evan
Tan, Jessica
Mazefsky, Carla A
Brookman-Frazee, Lauren
McPartland, James C
Goodwin, Matthew S
Pennington, Jeffrey
Marcus, Steven C
Beidas, Rinad S
Mandell, David S
Nuske, Heather J
author_facet Palermo, Emma H
Young, Amanda V
Deswert, Sky
Brown, Alyssa
Goldberg, Miranda
Sultanik, Evan
Tan, Jessica
Mazefsky, Carla A
Brookman-Frazee, Lauren
McPartland, James C
Goodwin, Matthew S
Pennington, Jeffrey
Marcus, Steven C
Beidas, Rinad S
Mandell, David S
Nuske, Heather J
author_sort Palermo, Emma H
collection PubMed
description BACKGROUND: As much as 80% of children on the autism spectrum exhibit challenging behaviors (ie, behaviors dangerous to the self or others, behaviors that interfere with learning and development, and behaviors that interfere with socialization) that can have a devastating impact on personal and family well-being, contribute to teacher burnout, and even require hospitalization. Evidence-based practices to reduce these behaviors emphasize identifying triggers (events or antecedents that lead to challenging behaviors); however, parents and teachers often report that challenging behaviors surface with little warning. Exciting recent advances in biometric sensing and mobile computing technology allow the measurement of momentary emotion dysregulation using physiological indexes. OBJECTIVE: We present the framework and protocol for a pilot trial that will test a mobile digital mental health app, the KeepCalm app. School-based approaches to managing challenging behaviors in children on the autism spectrum are limited by 3 key factors: children on the autism spectrum often have difficulties in communicating their emotions; it is challenging to implement evidence-based, personalized strategies for individual children in group settings; and it is difficult for teachers to track which strategies are successful for each child. KeepCalm aims to address those barriers by communicating children’s stress to their teachers using physiological signaling (emotion dysregulation detection), supporting the implementation of emotion regulation strategies via smartphone pop-up notifications of top strategies for each child according to their behavior (emotion regulation strategy implementation), and easing the task of tracking outcomes by providing the child’s educational team with a tool to track the most effective emotion regulation strategies for that child based on physiological stress reduction data (emotion regulation strategy evaluation). METHODS: We will test KeepCalm with 20 educational teams of students on the autism spectrum with challenging behaviors (no exclusion based on IQ or speaking ability) in a pilot randomized waitlist-controlled field trial over a 3-month period. We will examine the usability, acceptability, feasibility, and appropriateness of KeepCalm as primary outcomes. Secondary preliminary efficacy outcomes include clinical decision support success, false positives or false negatives of stress alerts, and the reduction of challenging behaviors and emotion dysregulation. We will also examine technical outcomes, including the number of artifacts and the proportion of time children are engaged in high physical movement based on accelerometry data; test the feasibility of our recruitment strategies; and test the response rate and sensitivity to change of our measures, in preparation for a future fully powered large-scale randomized controlled trial. RESULTS: The pilot trial will begin by September 2023. CONCLUSIONS: Results will provide key data about important aspects of implementing KeepCalm in preschools and elementary schools and will provide preliminary data about its efficacy to reduce challenging behaviors and support emotion regulation in children on the autism spectrum. TRIAL REGISTRATION: ClinicalTrials.gov NCT05277194; https://www.clinicaltrials.gov/ct2/show/NCT05277194 INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/45852
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spelling pubmed-103373162023-07-13 A Digital Mental Health App Incorporating Wearable Biosensing for Teachers of Children on the Autism Spectrum to Support Emotion Regulation: Protocol for a Pilot Randomized Controlled Trial Palermo, Emma H Young, Amanda V Deswert, Sky Brown, Alyssa Goldberg, Miranda Sultanik, Evan Tan, Jessica Mazefsky, Carla A Brookman-Frazee, Lauren McPartland, James C Goodwin, Matthew S Pennington, Jeffrey Marcus, Steven C Beidas, Rinad S Mandell, David S Nuske, Heather J JMIR Res Protoc Protocol BACKGROUND: As much as 80% of children on the autism spectrum exhibit challenging behaviors (ie, behaviors dangerous to the self or others, behaviors that interfere with learning and development, and behaviors that interfere with socialization) that can have a devastating impact on personal and family well-being, contribute to teacher burnout, and even require hospitalization. Evidence-based practices to reduce these behaviors emphasize identifying triggers (events or antecedents that lead to challenging behaviors); however, parents and teachers often report that challenging behaviors surface with little warning. Exciting recent advances in biometric sensing and mobile computing technology allow the measurement of momentary emotion dysregulation using physiological indexes. OBJECTIVE: We present the framework and protocol for a pilot trial that will test a mobile digital mental health app, the KeepCalm app. School-based approaches to managing challenging behaviors in children on the autism spectrum are limited by 3 key factors: children on the autism spectrum often have difficulties in communicating their emotions; it is challenging to implement evidence-based, personalized strategies for individual children in group settings; and it is difficult for teachers to track which strategies are successful for each child. KeepCalm aims to address those barriers by communicating children’s stress to their teachers using physiological signaling (emotion dysregulation detection), supporting the implementation of emotion regulation strategies via smartphone pop-up notifications of top strategies for each child according to their behavior (emotion regulation strategy implementation), and easing the task of tracking outcomes by providing the child’s educational team with a tool to track the most effective emotion regulation strategies for that child based on physiological stress reduction data (emotion regulation strategy evaluation). METHODS: We will test KeepCalm with 20 educational teams of students on the autism spectrum with challenging behaviors (no exclusion based on IQ or speaking ability) in a pilot randomized waitlist-controlled field trial over a 3-month period. We will examine the usability, acceptability, feasibility, and appropriateness of KeepCalm as primary outcomes. Secondary preliminary efficacy outcomes include clinical decision support success, false positives or false negatives of stress alerts, and the reduction of challenging behaviors and emotion dysregulation. We will also examine technical outcomes, including the number of artifacts and the proportion of time children are engaged in high physical movement based on accelerometry data; test the feasibility of our recruitment strategies; and test the response rate and sensitivity to change of our measures, in preparation for a future fully powered large-scale randomized controlled trial. RESULTS: The pilot trial will begin by September 2023. CONCLUSIONS: Results will provide key data about important aspects of implementing KeepCalm in preschools and elementary schools and will provide preliminary data about its efficacy to reduce challenging behaviors and support emotion regulation in children on the autism spectrum. TRIAL REGISTRATION: ClinicalTrials.gov NCT05277194; https://www.clinicaltrials.gov/ct2/show/NCT05277194 INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/45852 JMIR Publications 2023-06-26 /pmc/articles/PMC10337316/ /pubmed/37358908 http://dx.doi.org/10.2196/45852 Text en ©Emma H Palermo, Amanda V Young, Sky Deswert, Alyssa Brown, Miranda Goldberg, Evan Sultanik, Jessica Tan, Carla A Mazefsky, Lauren Brookman-Frazee, James C McPartland, Matthew S Goodwin, Jeffrey Pennington, Steven C Marcus, Rinad S Beidas, David S Mandell, Heather J Nuske. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 26.06.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Protocol
Palermo, Emma H
Young, Amanda V
Deswert, Sky
Brown, Alyssa
Goldberg, Miranda
Sultanik, Evan
Tan, Jessica
Mazefsky, Carla A
Brookman-Frazee, Lauren
McPartland, James C
Goodwin, Matthew S
Pennington, Jeffrey
Marcus, Steven C
Beidas, Rinad S
Mandell, David S
Nuske, Heather J
A Digital Mental Health App Incorporating Wearable Biosensing for Teachers of Children on the Autism Spectrum to Support Emotion Regulation: Protocol for a Pilot Randomized Controlled Trial
title A Digital Mental Health App Incorporating Wearable Biosensing for Teachers of Children on the Autism Spectrum to Support Emotion Regulation: Protocol for a Pilot Randomized Controlled Trial
title_full A Digital Mental Health App Incorporating Wearable Biosensing for Teachers of Children on the Autism Spectrum to Support Emotion Regulation: Protocol for a Pilot Randomized Controlled Trial
title_fullStr A Digital Mental Health App Incorporating Wearable Biosensing for Teachers of Children on the Autism Spectrum to Support Emotion Regulation: Protocol for a Pilot Randomized Controlled Trial
title_full_unstemmed A Digital Mental Health App Incorporating Wearable Biosensing for Teachers of Children on the Autism Spectrum to Support Emotion Regulation: Protocol for a Pilot Randomized Controlled Trial
title_short A Digital Mental Health App Incorporating Wearable Biosensing for Teachers of Children on the Autism Spectrum to Support Emotion Regulation: Protocol for a Pilot Randomized Controlled Trial
title_sort digital mental health app incorporating wearable biosensing for teachers of children on the autism spectrum to support emotion regulation: protocol for a pilot randomized controlled trial
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337316/
https://www.ncbi.nlm.nih.gov/pubmed/37358908
http://dx.doi.org/10.2196/45852
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