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Citing this Article

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Published on 13.09.18 in Vol 6, No 9 (2018): September

This paper is in the following e-collection/theme issue:

Works citing "Using a ResearchKit Smartphone App to Collect Rheumatoid Arthritis Symptoms From Real-World Participants: Feasibility Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.9656):

(note that this is only a small subset of citations)

  1. Naranjo-Hernández D, Reina-Tosina J, Roa LM. Sensor Technologies to Manage the Physiological Traits of Chronic Pain: A Review. Sensors 2020;20(2):365
    CrossRef
  2. Pisaniello HL, Dixon WG. What does digitalization hold for the creation of real-world evidence?. Rheumatology 2020;59(1):39
    CrossRef
  3. Pratap A, Neto EC, Snyder P, Stepnowsky C, Elhadad N, Grant D, Mohebbi MH, Mooney S, Suver C, Wilbanks J, Mangravite L, Heagerty PJ, Areán P, Omberg L. Indicators of retention in remote digital health studies: a cross-study evaluation of 100,000 participants. npj Digital Medicine 2020;3(1)
    CrossRef
  4. Lalloo C, Pham Q, Cafazzo J, Stephenson E, Stinson J. A ResearchKit app to deliver paediatric electronic consent: Protocol of an observational study in adolescents with arthritis. Contemporary Clinical Trials Communications 2020;17:100525
    CrossRef
  5. Nowell WB, Curtis JR, Nolot SK, Curtis D, Venkatachalam S, Owensby JK, Poon JL, Calvin AB, Kannowski CL, Faries DE, Gavigan K, Haynes VS. Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Using Biosensor and Patient-Reported Outcome Data: Protocol for a Real-World Study. JMIR Research Protocols 2019;8(9):e14665
    CrossRef
  6. Elmagboul N, Coburn BW, Foster J, Mudano A, Melnick J, Bergman D, Yang S, Redden D, Chen L, Filby C, Curtis JR, Mikuls TR, Saag KG. Comparison of an interactive voice response system and smartphone application in the identification of gout flares. Arthritis Research & Therapy 2019;21(1)
    CrossRef
  7. Yamaguchi S, Waki K, Nannya Y, Nangaku M, Kadowaki T, Ohe K. Usage Patterns of GlucoNote, a Self-Management Smartphone App, Based on ResearchKit for Patients With Type 2 Diabetes and Prediabetes. JMIR mHealth and uHealth 2019;7(4):e13204
    CrossRef
  8. Klonoff DC, King F, Kerr D. New Opportunities for Digital Health to Thrive. Journal of Diabetes Science and Technology 2019;13(2):159
    CrossRef
  9. Druce KL, Dixon WG, McBeth J. Maximizing Engagement in Mobile Health Studies. Rheumatic Disease Clinics of North America 2019;45(2):159
    CrossRef
  10. Garcia-Gancedo L, Kelly ML, Lavrov A, Parr J, Hart R, Marsden R, Turner MR, Talbot K, Chiwera T, Shaw CE, Al-Chalabi A. Objectively Monitoring Amyotrophic Lateral Sclerosis Patient Symptoms During Clinical Trials With Sensors: Observational Study. JMIR mHealth and uHealth 2019;7(12):e13433
    CrossRef