Evidence map›Paper›PMID 36192779›Full record

ArticlePilot and feasibility studies2022

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

Katelynn E Boerner, Unma Desai, Karon E MacLean, Tamara Munzner, Haley Foladare, Javed Gill, Tim F Oberlander

Open access · goldAbstract read
In one paragraph

Article in Pilot and feasibility studies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Katelynn E BoernerDepartment of Pediatrics, University of British Columbia, Vancouver, BC, Canada. katelynn.boerner@bcchr.ca.ORCID http://orcid.org/0000-0003-1652-4813
Unma DesaiDepartment of Computer Science, University of British Columbia, Vancouver, BC, Canada.
Karon E MacLeanDepartment of Computer Science, University of British Columbia, Vancouver, BC, Canada.
Tamara MunznerDepartment of Computer Science, University of British Columbia, Vancouver, BC, Canada.
Haley FoladareDepartment of Cognitive Systems, University of British Columbia, Vancouver, BC, Canada.
Javed GillBC Children's Hospital and Research Institute, Vancouver, BC, Canada.
Tim F OberlanderDepartment of Pediatrics, University of British Columbia, Vancouver, BC, Canada.
University of British Columbia · CACanadian Patient Safety Institute · CA

Funding

BC Children's Hospital Research Institute Digital Health Research Accelerator Grant
6 · The paper itself

Abstract

backgroundChronic 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).

methodsThis 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 registrationOpen Science Framework doi: https://doi.org/10.17605/OSF.IO/HQX7C . Registered on October 25, 2021, osf.io/hqx7c.

Indexed as

Children and adolescentsChronic painData visualization

Identifiers

PMID36192779
PMCPMC9527132
OpenAlexW4300963360

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.