ReviewSensors (Basel, Switzerland)2020
Wearable Activity Trackers in the Management of Rheumatic Diseases: Where Are We in 2020?
Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
Who cites it
19 citing papers in PubMed, 32 citations in OpenAlex.
- Utilization of telemedicine in conjunction with wearable devices for patients with chronic musculoskeletal pain: a randomized controlled clinical trial.Scientific reports · 2025Trial
- Management of Rheumatoid Arthritis With a Digital Health Application: A Multicenter, Pragmatic Randomized Clinical Trial.JAMA network open · 2023Trial
- Remote Monitoring for Rheumatoid Arthritis Flare During Drug Tapering: Protocol for a Prospective Observational Cohort Study.JMIR research protocols · 2026Article
- Local Circadian Clocks Are Desynchronized From the Central Circadian Pacemaker in a Mouse Model of Inflammatory Arthritis.ACR open rheumatology · 2026Article
- Article
- Feasibility of Long-Term Physical Activity Measurement With a Wearable Activity Tracker in Patients With Axial Spondyloarthritis: 1-Year Longitudinal Observational Study.JMIR human factors · 2025Observational
- Generating Real-World Evidence From the Excellence Network in Rheumatology.Pharmacoepidemiology and drug safety · 2024Article
- Unveiling Artificial Intelligence's Power: Precision, Personalization, and Progress in Rheumatology.Journal of clinical medicine · 2024Review
- Capabilities for Using Telemonitoring in Physiotherapy Treatment: Exploratory Qualitative Study.JMIR rehabilitation and assistive technologies · 2024Article
- Self-Monitoring Practices and Use of Self-Monitoring Technologies by People with Rheumatic and Musculoskeletal Diseases: An International Survey Study.Healthcare (Basel, Switzerland) · 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
- Participant Engagement and Adherence to Providing Smartwatch and Patient-Reported Outcome Data: Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Real-World Study.JMIR human factors · 2023Article
- Article
- Discordance of global assessment between the patients and physicians predicts 9-year pain-related outcomes in rheumatoid arthritis patients.Frontiers in medicine · 2023Article
- Measuring objective physical activity in people with chronic low back pain using accelerometers: a scoping review.Frontiers in sports and active living · 2023Article
- "Listen to Your Immune System When It's Calling for You": Monitoring Autoimmune Diseases Using the iShU App.Sensors (Basel, Switzerland) · 2022Article
- The ideal mHealth-application for rheumatoid arthritis: qualitative findings from stakeholder focus groups.BMC musculoskeletal disorders · 2021Article
- The Challenges of Telemedicine in Rheumatology.Frontiers in medicine · 2021Review
- "The Simpler, the Better." A Qualitative Study on Digital Health Transformation in Early Adopter Rheumatology Outpatient Clinics.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In healthcare, physical activity can be monitored in two ways: self-monitoring by the patient himself or external monitoring by health professionals. Regarding self-monitoring, wearable activity trackers allow automated passive data collection that educate and motivate patients. Wearing an activity tracker can improve walking time by around 1500 steps per day. However, there are concerns about measurement accuracy (e.g., lack of a common validation protocol or measurement discrepancies between different devices). For external monitoring, many innovative electronic tools are currently used in rheumatology to help support physician time management, to reduce the burden on clinic time, and to prioritize patients who may need further attention. In inflammatory arthritis, such as rheumatoid arthritis, regular monitoring of patients to detect disease flares improves outcomes. In a pilot study applying machine learning to activity tracker steps, we showed that physical activity was strongly linked to disease flares and that patterns of physical activity could be used to predict flares with great accuracy, with a sensitivity and specificity above 95%. Thus, automatic monitoring of steps may lead to improved disease control through potential early identification of disease flares. However, activity trackers have some limitations when applied to rheumatic patients, such as tracker adherence, lack of clarity on long-term effectiveness, or the potential multiplicity of trackers.
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What OpenQuestion holds
Registered trials
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.