An In Situ, Child-Led Intervention to Promote Emotion Regulation Competence in Middle Childhood: Protocol for an Exploratory Randomized Controlled Trial.

children efficacy emotion emotion regulation exploratory in situ intervention intervention model prevention protocol randomized controlled trial risk factor treatment

Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
09 Nov 2021
Historique:
received: 06 04 2021
accepted: 25 05 2021
revised: 24 05 2021
entrez: 9 11 2021
pubmed: 10 11 2021
medline: 10 11 2021
Statut: epublish

Résumé

Emotion regulation is a key transdiagnostic risk factor for a range of psychopathologies, making it a prime target for both prevention and treatment interventions in childhood. Existing interventions predominantly rely on workshops or in-person therapy-based approaches, limiting the ability to promote emotion regulation competence for children in everyday settings and at scale. Purrble is a newly developed, inexpensive, socially assistive robot-in the form of an interactive plush toy-that uses haptic feedback to support in-the-moment emotion regulation. It is accessible to children as needed in their daily lives, without the need for a priori training. Although qualitative data from previous studies show high engagement in situ and anecdotal evidence of the robot being incorporated into children's emotion regulation routines, there is no quantitative evidence of the intervention's impact on child outcomes. The aim of this study is to examine the efficacy of a new intervention model for child-led emotion regulation-Purrble-that can be deployed across prevention and treatment contexts. Overall, 134 children aged 8 to 10 years will be selected from an enriched nonclinical North American population; for inclusion, the cutoff for the parents' rating of child dysregulation will be ≥10 points in the total difficulties score on the Strengths and Difficulties Questionnaire. This cutoff was selected to obtain a measurable, but not necessarily clinical, level of the child's emotion regulatory difficulties. The selected families will be randomly assigned with .5 probability to receive either a Purrble or an active control (noninteractive plush toy). The primary outcome will be a daily ecological momentary assessment measure of child emotion regulation capability (as reported by parents) over a period of 4 weeks. Exploratory analyses will investigate the intervention impact on secondary outcomes of child emotion regulation, collected weekly over the same 4-week period, with follow-ups at 1 month and 6 months postdeployment. Quantitative data will be analyzed on an intent-to-treat basis. A proportion of families (approximately 30% of the sample) will be interviewed after deployment as part of the process analysis. The study is funded by the UKRI Future Leaders Fellowship (MR/T041897/1) and an in-kind contribution from the Committee for Children. This study received ethical approval from the Pearl institutional review board (#18-CFC-101). Participant recruitment started in February 2021, with the 1-month deployment in April-May 2021. The results of this analysis will be published in 2022. This study will be the first quantitative evaluation of the efficacy of an innovative, proof-of-concept intervention model for an in situ, child-led emotion regulation intervention. Insights into the trajectory of daily changes, complemented with weekly questionnaire batteries and postdeployment interviews, will result in an in-depth understanding of whether and how the hypothesized intervention logic model works, leading to further intervention optimization. ClinicalTrials.gov NCT04810455; http://clinicaltrials.gov/ct2/show/NCT04810455. PRR1-10.2196/28914.

Sections du résumé

BACKGROUND BACKGROUND
Emotion regulation is a key transdiagnostic risk factor for a range of psychopathologies, making it a prime target for both prevention and treatment interventions in childhood. Existing interventions predominantly rely on workshops or in-person therapy-based approaches, limiting the ability to promote emotion regulation competence for children in everyday settings and at scale. Purrble is a newly developed, inexpensive, socially assistive robot-in the form of an interactive plush toy-that uses haptic feedback to support in-the-moment emotion regulation. It is accessible to children as needed in their daily lives, without the need for a priori training. Although qualitative data from previous studies show high engagement in situ and anecdotal evidence of the robot being incorporated into children's emotion regulation routines, there is no quantitative evidence of the intervention's impact on child outcomes.
OBJECTIVE OBJECTIVE
The aim of this study is to examine the efficacy of a new intervention model for child-led emotion regulation-Purrble-that can be deployed across prevention and treatment contexts.
METHODS METHODS
Overall, 134 children aged 8 to 10 years will be selected from an enriched nonclinical North American population; for inclusion, the cutoff for the parents' rating of child dysregulation will be ≥10 points in the total difficulties score on the Strengths and Difficulties Questionnaire. This cutoff was selected to obtain a measurable, but not necessarily clinical, level of the child's emotion regulatory difficulties. The selected families will be randomly assigned with .5 probability to receive either a Purrble or an active control (noninteractive plush toy). The primary outcome will be a daily ecological momentary assessment measure of child emotion regulation capability (as reported by parents) over a period of 4 weeks. Exploratory analyses will investigate the intervention impact on secondary outcomes of child emotion regulation, collected weekly over the same 4-week period, with follow-ups at 1 month and 6 months postdeployment. Quantitative data will be analyzed on an intent-to-treat basis. A proportion of families (approximately 30% of the sample) will be interviewed after deployment as part of the process analysis.
RESULTS RESULTS
The study is funded by the UKRI Future Leaders Fellowship (MR/T041897/1) and an in-kind contribution from the Committee for Children. This study received ethical approval from the Pearl institutional review board (#18-CFC-101). Participant recruitment started in February 2021, with the 1-month deployment in April-May 2021. The results of this analysis will be published in 2022.
CONCLUSIONS CONCLUSIONS
This study will be the first quantitative evaluation of the efficacy of an innovative, proof-of-concept intervention model for an in situ, child-led emotion regulation intervention. Insights into the trajectory of daily changes, complemented with weekly questionnaire batteries and postdeployment interviews, will result in an in-depth understanding of whether and how the hypothesized intervention logic model works, leading to further intervention optimization.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov NCT04810455; http://clinicaltrials.gov/ct2/show/NCT04810455.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
PRR1-10.2196/28914.

Identifiants

pubmed: 34751666
pii: v10i11e28914
doi: 10.2196/28914
pmc: PMC8663453
doi:

Banques de données

ClinicalTrials.gov
['NCT04810455']

Types de publication

Journal Article

Langues

eng

Pagination

e28914

Subventions

Organisme : Medical Research Council
ID : MR/T041897/1
Pays : United Kingdom

Informations de copyright

©Petr Slovak, Brett Q Ford, Sherri Widen, Claudia Daudén Roquet, Nikki Theofanopoulou, James J Gross, Benjamin Hankin, Predrag Klasnja. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 09.11.2021.

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Auteurs

Petr Slovak (P)

Department of Informatics, King's College London, London, United Kingdom.

Brett Q Ford (BQ)

Psychology Department, University of Toronto, Toronto, ON, Canada.

Sherri Widen (S)

Committee for Children, Seattle, WA, United States.

Claudia Daudén Roquet (C)

Department of Informatics, King's College London, London, United Kingdom.

Nikki Theofanopoulou (N)

Department of Informatics, King's College London, London, United Kingdom.

James J Gross (JJ)

Department of Psychology, Stanford University, Stanford, CA, United States.

Benjamin Hankin (B)

Department of Psychology, University of Illinois Urbana Champaign, Champaign, IL, United States.

Predrag Klasnja (P)

School of Information, University of Michigan, Ann Arbor, MI, United States.

Classifications MeSH