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Citing this Article

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Published on 01.11.17 in Vol 5, No 11 (2017): November

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

Works citing "Recruitment and Ongoing Engagement in a UK Smartphone Study Examining the Association Between Weather and Pain: Cohort Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.8162):

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

  1. Druce KL, Dixon WG, McBeth J. Maximizing Engagement in Mobile Health Studies. Rheumatic Disease Clinics of North America 2019;45(2):159
    CrossRef
  2. Dixon WG, Beukenhorst AL, Yimer BB, Cook L, Gasparrini A, El-Hay T, Hellman B, James B, Vicedo-Cabrera AM, Maclure M, Silva R, Ainsworth J, Pisaniello HL, House T, Lunt M, Gamble C, Sanders C, Schultz DM, Sergeant JC, McBeth J. How the weather affects the pain of citizen scientists using a smartphone app. npj Digital Medicine 2019;2(1)
    CrossRef
  3. Schultz DM, Beukenhorst AL, Yimer BB, Cook L, Pisaniello HL, House T, Gamble C, Sergeant JC, McBeth J, Dixon WG. Weather Patterns Associated with Pain in Chronic-Pain Sufferers. Bulletin of the American Meteorological Society 2020;101(5):E555
    CrossRef
  4. Costello RE, Anand A, Jameson Evans M, Dixon WG. Associations Between Engagement With an Online Health Community and Changes in Patient Activation and Health Care Utilization: Longitudinal Web-Based Survey. Journal of Medical Internet Research 2019;21(8):e13477
    CrossRef
  5. Austin L, Sharp CA, van der Veer SN, Machin M, Humphreys J, Mellor P, McCarthy J, Ainsworth J, Sanders C, Dixon WG. Providing ‘the bigger picture’: benefits and feasibility of integrating remote monitoring from smartphones into the electronic health record. Rheumatology 2019;
    CrossRef
  6. Fan X, Wang D, Hellman B, Janssen M, Bakker G, Coghlan R, Hursey A, Matthews H, Whetstone I. Assessment of Health-Related Quality of Life between People with Parkinson’s Disease and Non-Parkinson’s: Using Data Drawn from the ‘100 for Parkinson’s’ Smartphone-Based Prospective Study. International Journal of Environmental Research and Public Health 2018;15(11):2538
    CrossRef
  7. Chao DY, Lin TM, Ma W. Enhanced Self-Efficacy and Behavioral Changes Among Patients With Diabetes: Cloud-Based Mobile Health Platform and Mobile App Service. JMIR Diabetes 2019;4(2):e11017
    CrossRef
  8. 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
  9. Stubberud A, Linde M. Digital Technology and Mobile Health in Behavioral Migraine Therapy: a Narrative Review. Current Pain and Headache Reports 2018;22(10)
    CrossRef
  10. Beukenhorst AL, Parkes MJ, Cook L, Barnard R, van der Veer SN, Little MA, Howells K, Sanders C, Sergeant JC, O'Neill TW, McBeth J, Dixon WG. Collecting Symptoms and Sensor Data With Consumer Smartwatches (the Knee OsteoArthritis, Linking Activity and Pain Study): Protocol for a Longitudinal, Observational Feasibility Study. JMIR Research Protocols 2019;8(1):e10238
    CrossRef
  11. Dixon WG, Michaud K. Using technology to support clinical care and research in rheumatoid arthritis. Current Opinion in Rheumatology 2018;30(3):276
    CrossRef
  12. Minen MT, Schaubhut KB, Morio K. Smartphone based behavioral therapy for pain in multiple sclerosis (MS) patients: A feasibility acceptability randomized controlled study for the treatment of comorbid migraine and ms pain. Multiple Sclerosis and Related Disorders 2020;46:102489
    CrossRef
  13. , , , , . Environmental Hazards: A Coverage Response Approach. Future Internet 2019;11(3):72
    CrossRef