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

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

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

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

Journals

  1. Mahler M, Martinez-Prat L, Sparks J, Deane K. Precision medicine in the care of rheumatoid arthritis: Focus on prediction and prevention of future clinically-apparent disease. Autoimmunity Reviews 2020;19(5):102506 View
  2. Naranjo-Hernández D, Reina-Tosina J, Roa L. Sensor Technologies to Manage the Physiological Traits of Chronic Pain: A Review. Sensors 2020;20(2):365 View
  3. Inomata T, Sung J, Nakamura M, Fujisawa K, Muto K, Ebihara N, Iwagami M, Fujio K, Okumura Y, Okano M, Murakami A. New medical big data for P4 medicine on allergic conjunctivitis. Allergology International 2020;69(4):510 View
  4. 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 View
  5. Klonoff D, King F, Kerr D. New Opportunities for Digital Health to Thrive. Journal of Diabetes Science and Technology 2019;13(2):159 View
  6. Pisaniello H, Dixon W. What does digitalization hold for the creation of real-world evidence?. Rheumatology 2020;59(1):39 View
  7. Druce K, Dixon W, McBeth J. Maximizing Engagement in Mobile Health Studies. Rheumatic Disease Clinics of North America 2019;45(2):159 View
  8. Harada N, Harada S, Ito J, Atsuta R, Hori S, Takahashi K. Mobile Health App for Japanese Adult Patients With Asthma: Clinical Observational Study. Journal of Medical Internet Research 2020;22(8):e19006 View
  9. McGagh D, Coates L. Assessment of the many faces of PsA: single and composite measures in PsA clinical trials. Rheumatology 2020;59(Supplement_1):i29 View
  10. Nowell W, Curtis J, Nolot S, Curtis D, Venkatachalam S, Owensby J, Poon J, Calvin A, Kannowski C, Faries D, Gavigan K, Haynes V. 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 View
  11. Elmagboul N, Coburn B, Foster J, Mudano A, Melnick J, Bergman D, Yang S, Redden D, Chen L, Filby C, Curtis J, Mikuls T, Saag K. Comparison of an interactive voice response system and smartphone application in the identification of gout flares. Arthritis Research & Therapy 2019;21(1) View
  12. Pratap A, Neto E, Snyder P, Stepnowsky C, Elhadad N, Grant D, Mohebbi M, Mooney S, Suver C, Wilbanks J, Mangravite L, Heagerty P, 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) View
  13. Haberman R, Perez-Chada L, Siegel E, Reginato A, Webster D, Chandran V, Walsh J, Rosen C, Reddy S, Ogdie A, Scher J, Merola J. Psoriasis and Psoriatic Arthritis Clinics Multicenter Advancement Network Consortium (PPACMAN) 2018 Annual Meeting Summary. Journal of Psoriasis and Psoriatic Arthritis 2020;5(2):68 View
  14. Seppen B, Wiegel J, L'ami M, Duarte dos Santos Rico S, Catarinella F, Turkstra F, Boers M, Bos W. Feasibility of Self-Monitoring Rheumatoid Arthritis With a Smartphone App: Results of Two Mixed-Methods Pilot Studies. JMIR Formative Research 2020;4(9):e20165 View
  15. Garcia-Gancedo L, Kelly M, Lavrov A, Parr J, Hart R, Marsden R, Turner M, Talbot K, Chiwera T, Shaw C, 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 View
  16. Grainger R, Townsley H, Ferguson C, Riley F, Langlotz T, Taylor W. Patient and clinician views on an app for rheumatoid arthritis disease monitoring: Function, implementation and implications. International Journal of Rheumatic Diseases 2020;23(6):813 View
  17. Shah S, Kemp J, Kvedar J, Gracey L. A feasibility study of the burden of disease of atopic dermatitis using a smartphone research application, myEczema. International Journal of Women's Dermatology 2020;6(5):424 View
  18. 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 View
  19. McDougall J. Leveraging Telemedicine as an Approach to Address Rheumatic Disease Health Disparities. Rheumatic Disease Clinics of North America 2021;47(1):97 View
  20. Mollard E, Michaud K. Self-Management of Rheumatoid Arthritis: Mobile Applications. Current Rheumatology Reports 2021;23(1) View
  21. Slepian P, Peng M, Janmohamed T, Kotteeswaran Y, Manoo V, Blades A, Fiorellino J, Katznelson R, Tamir D, McRae K, Kahn M, Huang A, Kona S, Thaker S, Weinrib A, Katz J, Clarke H. Engagement with Manage My Pain mobile health application among patients at the Transitional Pain Service. DIGITAL HEALTH 2020;6:205520762096229 View
  22. White K, Ivan A, Williams R, Galloway J, Norton S, Matcham F. Remote Measurement in Rheumatoid Arthritis: Qualitative Analysis of Patient Perspectives. JMIR Formative Research 2021;5(3):e22473 View
  23. Inomata T, Sung J, Nakamura M, Iwagami M, Okumura Y, Iwata N, Midorikawa-Inomata A, Fujimoto K, Eguchi A, Nagino K, Fujio K, Miura M, Shokirova H, Murakami A. Using Medical Big Data to Develop Personalized Medicine for Dry Eye Disease. Cornea 2020;39(1):S39 View
  24. Pratap A, Grant D, Vegesna A, Tummalacherla M, Cohan S, Deshpande C, Mangravite L, Omberg L. Evaluating the Utility of Smartphone-Based Sensor Assessments in Persons With Multiple Sclerosis in the Real-World Using an App (elevateMS): Observational, Prospective Pilot Digital Health Study. JMIR mHealth and uHealth 2020;8(10):e22108 View
  25. Wyner Z, Dublin S, Chambers C, Deval S, Herzig-Marx C, Rao S, Rauch A, Reynolds J, Brown J, Martin D. The FDA MyStudies app: a reusable platform for distributed clinical trials and real-world evidence studies. JAMIA Open 2021;3(4):500 View
  26. Alemayehu D, Hemmings R, Natarajan K, Roychoudhury S. Perspectives on Virtual (Remote) Clinical Trials as the “New Normal” to Accelerate Drug Development. Clinical Pharmacology & Therapeutics 2022;111(2):373 View
  27. Lee Y, Lu F, Colls J, Luo D, Wang P, Dunlop D, Muhammad L, Song J, Michaud K, Solomon D. Outcomes of a Mobile App to Monitor Patient‐Reported Outcomes in Rheumatoid Arthritis: A Randomized Controlled Trial. Arthritis & Rheumatology 2021;73(8):1421 View
  28. Creagh A, Lipsmeier F, Lindemann M, Vos M. Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones. Scientific Reports 2021;11(1) View
  29. Mollard E, Pedro S, Schumacher R, Michaud K. Smartphone-based behavioral monitoring and patient-reported outcomes in adults with rheumatic and musculoskeletal disease. BMC Musculoskeletal Disorders 2022;23(1) View
  30. Bührmann L, Van Daele T, Rinn A, De Witte N, Lehr D, Aardoom J, Loheide-Niesmann L, Smit J, Riper H. The feasibility of using Apple's ResearchKit for recruitment and data collection: Considerations for mental health research. Frontiers in Digital Health 2022;4 View
  31. Dandapani H, Davoodi N, Joerg L, Li M, Strauss D, Fan K, Massachi T, Goldberg E. Leveraging Mobile-Based Sensors for Clinical Research to Obtain Activity and Health Measures for Disease Monitoring, Prevention, and Treatment. Frontiers in Digital Health 2022;4 View
  32. MacBrayne A, Marsh W, Humby F. Review: Remote disease monitoring in rheumatoid arthritis. Indian Journal of Rheumatology 2022;17(7):384 View
  33. Rogers A, De Paoli G, Subbarayan S, Copland R, Harwood K, Coyle J, Mitchell L, MacDonald T, Mackenzie I. A systematic review of methods used to conduct decentralised clinical trials. British Journal of Clinical Pharmacology 2022;88(6):2843 View
  34. Beukenhorst A, Druce K, De Cock D. Smartphones for musculoskeletal research – hype or hope? Lessons from a decennium of mHealth studies. BMC Musculoskeletal Disorders 2022;23(1) View
  35. White K, Williamson C, Bergou N, Oetzmann C, de Angel V, Matcham F, Henderson C, Hotopf M. A systematic review of engagement reporting in remote measurement studies for health symptom tracking. npj Digital Medicine 2022;5(1) View
  36. Perez A, Siddiqui F, Zeadally S, Lane D. A review of IoT systems to enable independence for the elderly and disabled individuals. Internet of Things 2023;21:100653 View
  37. Goergen C, Tweardy M, Steinhubl S, Wegerich S, Singh K, Mieloszyk R, Dunn J. Detection and Monitoring of Viral Infections via Wearable Devices and Biometric Data. Annual Review of Biomedical Engineering 2022;24(1):1 View
  38. Demanuele C, Lokker C, Jhaveri K, Georgiev P, Sezgin E, Geoghegan C, Zou K, Izmailova E, McCarthy M. Considerations for Conducting Bring Your Own “Device” (BYOD) Clinical Studies. Digital Biomarkers 2022;6(2):47 View
  39. Doumen M, De Cock D, Van Lierde C, Betrains A, Pazmino S, Bertrand D, Westhovens R, Verschueren P. Engagement and attrition with eHealth tools for remote monitoring in chronic arthritis: a systematic review and meta-analysis. RMD Open 2022;8(2):e002625 View
  40. Daniore P, Nittas V, von Wyl V. Enrollment and Retention of Participants in Remote Digital Health Studies: Scoping Review and Framework Proposal. Journal of Medical Internet Research 2022;24(9):e39910 View
  41. Trinkūnas J, Puronaitė R. PATIENT-REPORTED MEASURES INTEGRATION INTO A HOSPITAL INFORMATION SYSTEM: BIBLIOMETRIC ANALYSIS AND CASE STUDY. Mokslas - Lietuvos ateitis 2022;14(0):1 View
  42. Owen Z, Saeb S, Short S, Ong N, Angi G, Ghoreyshi A, Sullivan S. Lingering impacts on sleep following the Daylight Savings Time transition in the Project Baseline Health Study. Sleep Science and Practice 2022;6(1) View
  43. Hamy V, Garcia-Gancedo L, Pollard A, Myatt A, Liu J, Howland A, Beineke P, Quattrocchi E, Williams R, Crouthamel M. Developing Smartphone-Based Objective Assessments of Physical Function in Rheumatoid Arthritis Patients: The PARADE Study. Digital Biomarkers 2020;4(1):26 View
  44. Huang H, Aschettino S, Lari N, Lee T, Rosenberg S, Ng X, Muthuri S, Bakshi A, Bishop K, Ezzeldin H. A Versatile and Scalable Platform That Streamlines Data Collection for Patient-Centered Studies: Usability and Feasibility Study. JMIR Formative Research 2022;6(9):e38579 View
  45. Soulard J, Mendelson M, Baillieul S, Gastaldi R, Baillet A. Activité physique (AP) dans les rhumatismes inflammatoires chroniques : trajectoires de santé et promotion de l’AP. Revue du Rhumatisme 2023;90(3):334 View
  46. Nowell W, Curtis J, Zhao H, Xie F, Stradford L, Curtis D, Gavigan K, Boles J, Clinton C, Lipkovich I, Venkatachalam S, Calvin A, Hayes V. 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 2023;10:e44034 View
  47. Harrold L, Zueger P, Nowell W, Blachley T, Schrader A, Lakin P, Curtis D, Stradford L, Venkatachalam S, Tundia N, Patel P. A Real-World Effectiveness Study Using a Mobile Application to Evaluate Early Outcomes with Upadacitinib in Rheumatoid Arthritis. Rheumatology and Therapy 2023;10(6):1519 View
  48. Hamy V, Llop C, Yee C, Garcia-Gancedo L, Maxwell A, Chen W, Tomlinson R, Bobbili P, Bendelac J, Landry J, DerSarkissian M, Yenikomshian M, Mody E, Duh M, Williams R. Patient-centric assessment of rheumatoid arthritis using a smartwatch and bespoke mobile app in a clinical setting. Scientific Reports 2023;13(1) View
  49. Creagh A, Hamy V, Yuan H, Mertes G, Tomlinson R, Chen W, Williams R, Llop C, Yee C, Duh M, Doherty A, Garcia-Gancedo L, Clifton D. Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis. npj Digital Medicine 2024;7(1) View