Currently accepted at: JMIR Research Protocols
Date Submitted: Sep 29, 2025
Open Peer Review Period: Sep 30, 2025 - Nov 4, 2025
Date Accepted: Dec 23, 2025
(closed for review but you can still tweet)
This paper has been accepted and is currently in production.
It will appear shortly on 10.2196/84781
The final accepted version (not copyedited yet) is in this tab.
Targeted real-time assessment of chronic pain (TRAC-Pain) in youth: protocol for digital biosignature development through a prospective observational cohort study
ABSTRACT
Background:
Approximately one in five children and adolescents live with chronic pain, with musculoskeletal (MSK) pain being one of the most prevalent sub-types. Unfortunately, less than half of youth with chronic pain experience improvements with existing evidence-based treatments. Self-report measures—the current gold-standard for monitoring the pain experience— are limited in their use as a single point-of-care assessment and vulnerability to recall bias. The ubiquitous adoption of wearable technology presents a promising solution for improved monitoring of the pain experience via real-time tracking through a multi-systemic lens.
Objective:
The purpose of this study is 1) to develop a digital biosignature of the pain experience in youth with chronic MSK pain, and 2) assess feasibility, acceptability, and appropriateness of captured data for future applications.
Methods:
All aspects of this study were designed in partnership with people with lived experience and patient advocacy partners. This is a longitudinal observational cohort study, with all study activities taking place remotely over a 12-week period. Up to 500 youth (14-24 years old) with chronic MSK pain will be enrolled through a multipronged recruitment strategy to ensure a representative sample. Participants will wear an Apple Watch throughout the study for continuous monitoring of physiological, sleep, and physical activity metrics. In addition, participants will complete brief ‘Daily Check-In’ surveys that include gold-standard measures of the pain experience (e.g., pain interference, mood, fatigue) and the option to report a ‘pain flare’ (i.e., temporary but noticeable worsening of usual symptoms). Participants will also complete a modified online Trier Social Stress Test and 30 second sit-to-stand task to capture individual responses to standardized challenges. Traditional machine learning and deep representation learning methods will be used to develop a digital biosignature of the pain experience. Accuracy of the biosignature will be assessed through measures of model performance as compared to gold-standard self-reports.
Results:
This study was funded in September 2024, with data collection beginning March 2025. As of August 2025, 132 participants are enrolled, with data collection and analysis ongoing.
Conclusions:
This is the first study to leverage wearable health technology for real-time monitoring of the pain experience in youth with chronic MSK pain. Resulting digital endpoints are expected to heighten the rigor of clinical trials and provide opportunities for individually-tailored interventions. The second phase of this study will investigate the implementation of ‘wellness-alerts’ triggered by abnormal smartwatch readings. Alerts would empower users toward preemptive self-management strategies, thereby enhancing self-efficacy in those living with chronic MSK pain. Clinical Trial: ClinicalTrials.gov NCT06867757 https://clinicaltrials.gov/study/NCT06867757
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.