ArticleJMIR mHealth and uHealth2018
Using a ResearchKit Smartphone App to Collect Rheumatoid Arthritis Symptoms From Real-World Participants: Feasibility Study.
Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.
What it found
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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
46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 87 citations in OpenAlex.
- Engagement and attrition with eHealth tools for remote monitoring in chronic arthritis: a systematic review and meta-analysis.RMD open · 2022Pooled it
- A systematic review of methods used to conduct decentralised clinical trials.British journal of clinical pharmacology · 2022Pooled it
- Outcomes of a Mobile App to Monitor Patient-Reported Outcomes in Rheumatoid Arthritis: A Randomized Controlled Trial.Arthritis & rheumatology (Hoboken, N.J.) · 2021Trial
- Comparison of an interactive voice response system and smartphone application in the identification of gout flares.Arthritis research & therapy · 2019Trial
- Characterizing Adherence to a Mobile Health App for Patient-Reported Outcomes in Rheumatoid Arthritis.Rheumatology and therapy · 2026Article
- Transforming Rheumatoid Arthritis Care: A Scoping Review of the Role of Digital Health.Cureus · 2025Review
- Summary and Analysis of Digital Pain Manikin Data in Adults With Pain Experience: Scoping Review.Journal of medical Internet research · 2025Article
- How and Who? Examining Real-World Evidence of Engagement and Use of an Electronic Patient-Reported Outcome Smartphone Application in Routine Clinical Care for Patients With Inflammatory Arthritides.ACR open rheumatology · 2025Article
- Early detection of rheumatoid arthritis through patient empowerment by tailored digital monitoring and education: a feasibility study.Rheumatology international · 2025Article
- State of the art of mobile health technologies use in clinical arrhythmia care.Communications medicine · 2024Review
- The Digital Platform and Its Emerging Role in Decentralized Clinical Trials.Journal of medical Internet research · 2024Article
- Mobile Health App and Web Platform (eDOL) for Medical Follow-Up of Patients With Chronic Pain: Cohort Study Involving the French eDOL National Cohort After 1 Year.JMIR mHealth and uHealth · 2024Article
- Evaluating a New Digital App-Based Program for Heart Health: Feasibility and Acceptability Pilot Study.JMIR formative research · 2024Article
- Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis.NPJ digital medicine · 2024Article
- Sphere transgressions in medical research: tactical engagements with Apple's ResearchKit.Information, communication and society · 2024Article
- A Real-World Effectiveness Study Using a Mobile Application to Evaluate Early Outcomes with Upadacitinib in Rheumatoid Arthritis.Rheumatology and therapy · 2023Article
- 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
- Patient-centric assessment of rheumatoid arthritis using a smartwatch and bespoke mobile app in a clinical setting.Scientific reports · 2023Article
- A Versatile and Scalable Platform That Streamlines Data Collection for Patient-Centered Studies: Usability and Feasibility Study.JMIR formative research · 2022Article
- Enrollment and Retention of Participants in Remote Digital Health Studies: Scoping Review and Framework Proposal.Journal of medical Internet research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUsing smartphones to enroll, obtain consent, and gather self-reported data from patients has the potential to enhance our understanding of disease burden and quantify physiological impact in the real world. It may also be possible to harness integral smartphone sensors to facilitate remote collection of clinically relevant data.
objectiveWe conducted the Patient Rheumatoid Arthritis Data From the Real World (PARADE) observational study using a customized ResearchKit app with a bring-your-own-device approach. Our objective was to assess the feasibility of using an entirely digital approach (social media and smartphone app) to conduct a real-world observational study of patients with rheumatoid arthritis.
methodsWe conducted this observational study using a customized ResearchKit app with a bring-your-own-device approach. To recruit patients, the PARADE app, designed to guide patients through a series of tasks, was publicized via social media platforms and made available for patients in the United States to download from the Apple App Store. We collected patient-reported data, such as medical history, rheumatoid arthritis-related medications (past and present), and a range of patient-reported outcome measures. We included in the assessment a joint-pain map and a novel objective assessment of wrist range of movement, measured by the smartphone-embedded gyroscope and accelerometer.
resultsWithin 1 month of recruitment via social media campaigns, 399 participants self-enrolled, self-consented, and provided complete demographic data. Joint pain was the most frequently reported rheumatoid arthritis symptom to bother study participants (344/393, 87.5%). Severe patient-reported wrist pain appeared to be inversely linked with the range of wrist movement measured objectively by the app. At study entry, 292 of 399 participants (73.2%) indicated a preference for participating in a mobile app-based study. The number of participants in the study declined to 45 of 399 (11.3%) at week 12.
conclusionsDespite the declining number of participants over time, the combination of social media and smartphone app with sensor integration was a feasible and cost-effective approach for the collection of patient-reported data in rheumatoid arthritis. Integral sensors within smartphones can be harnessed to provide novel end points, and the novel wrist range of movement test warrants further clinical validation.
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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.