ArticleJMIR human factors2023
Participant Engagement and Adherence to Providing Smartwatch and Patient-Reported Outcome Data: Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Real-World Study.
Article in JMIR human factors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Article
- A new method for augmenting short time series, with application to pain events in sickle cell disease.PLoS computational biology · 2026Article
- Characterizing Adherence to a Mobile Health App for Patient-Reported Outcomes in Rheumatoid Arthritis.Rheumatology and therapy · 2026Article
- Baseline pain, fatigue, and sleep quality predict 12-week pain improvement in inflammatory arthritis: retrospective real-world analysis of a digital health application cohort.Rheumatology international · 2026Article
- Digital Health Tools Embedded in a Cancer Genetics Clinic: Observational Study.JMIR formative research · 2026Observational
- Predictors of adherence to a digital health application in patients with inflammatory arthritis: retrospective analysis.Rheumatology international · 2025Article
- A systematic review of digital and imaging technologies for measuring fatigue in immune mediated inflammatory diseases.NPJ digital medicine · 2025Article
- Generating Real-World Evidence From the Excellence Network in Rheumatology.Pharmacoepidemiology and drug safety · 2024Article
- The real experience of reporting electronic patient-reported outcomes in patients with inflammatory arthritis and factors influencing participation: a scoping review.Rheumatology international · 2024Article
- Value of Engagement in Digital Health Technology Research: Evidence Across 6 Unique Cohort Studies.Journal of medical Internet research · 2024Article
- Long-term adherence to a wearable for continuous behavioural activity measuring in the SafeHeart implantable cardioverter defibrillator population.European heart journal. Digital health · 2024Article
- Wearable activity tracker study exploring rheumatoid arthritis patients' disease activity using patient-reported outcome measures, clinical measures, and biometric sensor data (the wear study).Contemporary clinical trials communications · 2024Article
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13 authors.
Funding
Abstract
backgroundDigital health studies using electronic patient-reported outcomes (ePROs) and wearables bring new challenges, including the need for participants to consistently provide trial data.
objectiveThis study aims to characterize the engagement, protocol adherence, and data completeness among participants with rheumatoid arthritis enrolled in the Digital Tracking of Arthritis Longitudinally (DIGITAL) study.
methodsParticipants were invited to participate in this app-based study, which included a 14-day run-in and an 84-day main study. In the run-in period, data were collected via the ArthritisPower mobile app to increase app familiarity and identify the individuals who were motivated to participate. Successful completers of the run-in period were mailed a wearable smartwatch, and automated and manual prompts were sent to participants, reminding them to complete app input or regularly wear and synchronize devices, respectively, during the main study. Study coordinators monitored participant data and contacted participants via email, SMS text messaging, and phone to resolve adherence issues per a priori rules, in which consecutive spans of missing data triggered participant contact. Adherence to data collection during the main study period was defined as providing requested data for >70% of 84 days (daily ePRO, ≥80% daily smartwatch data) or at least 9 of 12 weeks (weekly ePRO).
resultsOf the 470 participants expressing initial interest, 278 (59.1%) completed the run-in period and qualified for the main study. Over the 12-week main study period, 87.4% (243/278) of participants met the definition of adherence to protocol-specified data collection for weekly ePRO, and 57.2% (159/278) did so for daily ePRO. For smartwatch data, 81.7% (227/278) of the participants adhered to the protocol-specified data collection. In total, 52.9% (147/278) of the participants met composite adherence.
conclusionsCompared with other digital health rheumatoid arthritis studies, a short run-in period appears useful for identifying participants likely to engage in a study that collects data via a mobile app and wearables and gives participants time to acclimate to study requirements. Automated or manual prompts (ie, "It's time to sync your smartwatch") may be necessary to optimize adherence. Adherence varies by data collection type (eg, ePRO vs smartwatch data). INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/14665.
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