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Data visualization as an intervention for pediatric chronic pain: a pilot feasibility study protocol for a randomized controlled crossover trial

BACKGROUND: Chronic pain is a common and costly condition in youth, associated with negative implications that reach far beyond the pain experience itself (e.g., interference with recreational, social, and academic activities, mental health sequelae). As a self-appraised condition, pain experience i...

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Autores principales: Boerner, Katelynn E., Desai, Unma, MacLean, Karon E., Munzner, Tamara, Foladare, Haley, Gill, Javed, Oberlander, Tim F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527132/
https://www.ncbi.nlm.nih.gov/pubmed/36192779
http://dx.doi.org/10.1186/s40814-022-01170-5
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author Boerner, Katelynn E.
Desai, Unma
MacLean, Karon E.
Munzner, Tamara
Foladare, Haley
Gill, Javed
Oberlander, Tim F.
author_facet Boerner, Katelynn E.
Desai, Unma
MacLean, Karon E.
Munzner, Tamara
Foladare, Haley
Gill, Javed
Oberlander, Tim F.
author_sort Boerner, Katelynn E.
collection PubMed
description BACKGROUND: Chronic pain is a common and costly condition in youth, associated with negative implications that reach far beyond the pain experience itself (e.g., interference with recreational, social, and academic activities, mental health sequelae). As a self-appraised condition, pain experience is influenced by patient’s biases and meaning-making in relation to their symptoms and triggers. We propose that interacting with self-reported data will impact the experience of pain by altering understanding and expectations of symptom experience and how pain interacts with other factors (e.g., sleep, emotions, social interactions). In this study, we aim to establish the feasibility and acceptability of using a data visualization platform to track and monitor symptoms and their relationship with other factors, versus simply daily reporting of symptoms using a smartphone-based Ecological Momentary Assessment (EMA). METHODS: This protocol is for a randomized, single-center, open-label crossover trial. We aim to recruit 50 typically developing youth aged 12–18 years with chronic pain to take part in two phases of data collection. The trial will utilize an A-B counterbalanced design in which participants will be randomly assigned to receive either Part A (EMA alone for 7 days) or Part B (EMA plus visualization platform for 7 days) first and then receive the opposite phase after a 7-day break (washout period). Key outcomes will be participant reports of acceptability and feasibility, EMA completion rates, barriers, and perceptions of the benefits or risks of participation. Secondary exploratory analyses will examine the relationship between EMA-reported symptoms over time and in relation to baseline measures, as well as pilot data on any improvements in symptoms related to engaging with the data visualization platform. DISCUSSION: This protocol describes the feasibility and pilot testing of a novel approach to promoting self-management and facilitating symptom appraisal using visualized data. We aim to determine whether there is a sufficient rationale, both from the perspective of feasibility and patient satisfaction/acceptability, to conduct a larger randomized controlled trial of this intervention. This intervention has the potential to support clinical care for youth with chronic pain and other conditions where self-appraisal and understanding of symptom patterns are a critical component of functional recovery. TRIAL REGISTRATION: Open Science Framework doi: 10.17605/OSF.IO/HQX7C. Registered on October 25, 2021, osf.io/hqx7c SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40814-022-01170-5.
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spelling pubmed-95271322022-10-03 Data visualization as an intervention for pediatric chronic pain: a pilot feasibility study protocol for a randomized controlled crossover trial Boerner, Katelynn E. Desai, Unma MacLean, Karon E. Munzner, Tamara Foladare, Haley Gill, Javed Oberlander, Tim F. Pilot Feasibility Stud Study Protocol BACKGROUND: Chronic pain is a common and costly condition in youth, associated with negative implications that reach far beyond the pain experience itself (e.g., interference with recreational, social, and academic activities, mental health sequelae). As a self-appraised condition, pain experience is influenced by patient’s biases and meaning-making in relation to their symptoms and triggers. We propose that interacting with self-reported data will impact the experience of pain by altering understanding and expectations of symptom experience and how pain interacts with other factors (e.g., sleep, emotions, social interactions). In this study, we aim to establish the feasibility and acceptability of using a data visualization platform to track and monitor symptoms and their relationship with other factors, versus simply daily reporting of symptoms using a smartphone-based Ecological Momentary Assessment (EMA). METHODS: This protocol is for a randomized, single-center, open-label crossover trial. We aim to recruit 50 typically developing youth aged 12–18 years with chronic pain to take part in two phases of data collection. The trial will utilize an A-B counterbalanced design in which participants will be randomly assigned to receive either Part A (EMA alone for 7 days) or Part B (EMA plus visualization platform for 7 days) first and then receive the opposite phase after a 7-day break (washout period). Key outcomes will be participant reports of acceptability and feasibility, EMA completion rates, barriers, and perceptions of the benefits or risks of participation. Secondary exploratory analyses will examine the relationship between EMA-reported symptoms over time and in relation to baseline measures, as well as pilot data on any improvements in symptoms related to engaging with the data visualization platform. DISCUSSION: This protocol describes the feasibility and pilot testing of a novel approach to promoting self-management and facilitating symptom appraisal using visualized data. We aim to determine whether there is a sufficient rationale, both from the perspective of feasibility and patient satisfaction/acceptability, to conduct a larger randomized controlled trial of this intervention. This intervention has the potential to support clinical care for youth with chronic pain and other conditions where self-appraisal and understanding of symptom patterns are a critical component of functional recovery. TRIAL REGISTRATION: Open Science Framework doi: 10.17605/OSF.IO/HQX7C. Registered on October 25, 2021, osf.io/hqx7c SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40814-022-01170-5. BioMed Central 2022-10-03 /pmc/articles/PMC9527132/ /pubmed/36192779 http://dx.doi.org/10.1186/s40814-022-01170-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Study Protocol
Boerner, Katelynn E.
Desai, Unma
MacLean, Karon E.
Munzner, Tamara
Foladare, Haley
Gill, Javed
Oberlander, Tim F.
Data visualization as an intervention for pediatric chronic pain: a pilot feasibility study protocol for a randomized controlled crossover trial
title Data visualization as an intervention for pediatric chronic pain: a pilot feasibility study protocol for a randomized controlled crossover trial
title_full Data visualization as an intervention for pediatric chronic pain: a pilot feasibility study protocol for a randomized controlled crossover trial
title_fullStr Data visualization as an intervention for pediatric chronic pain: a pilot feasibility study protocol for a randomized controlled crossover trial
title_full_unstemmed Data visualization as an intervention for pediatric chronic pain: a pilot feasibility study protocol for a randomized controlled crossover trial
title_short Data visualization as an intervention for pediatric chronic pain: a pilot feasibility study protocol for a randomized controlled crossover trial
title_sort data visualization as an intervention for pediatric chronic pain: a pilot feasibility study protocol for a randomized controlled crossover trial
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527132/
https://www.ncbi.nlm.nih.gov/pubmed/36192779
http://dx.doi.org/10.1186/s40814-022-01170-5
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