Published on 01.11.17 in Vol 5, No 11 (2017): November
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)
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Druce KL, Dixon WG, McBeth J. Maximizing Engagement in Mobile Health Studies. Rheumatic Disease Clinics of North America 2019;45(2):159
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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)
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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
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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
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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 2020;59(2):367
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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
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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
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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)
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Stubberud A, Linde M. Digital Technology and Mobile Health in Behavioral Migraine Therapy: a Narrative Review. Current Pain and Headache Reports 2018;22(10)
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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
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Dixon WG, Michaud K. Using technology to support clinical care and research in rheumatoid arthritis. Current Opinion in Rheumatology 2018;30(3):276
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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
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. Environmental Hazards: A Coverage Response Approach. Future Internet 2019;11(3):72
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Meyerowitz-Katz G, Ravi S, Arnolda L, Feng X, Maberly G, Astell-Burt T. Rates of Attrition and Dropout in App-Based Interventions for Chronic Disease: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(9):e20283
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Minen MT, Adhikari S, Padikkala J, Tasneem S, Bagheri A, Goldberg E, Powers S, Lipton RB. Smartphone‐Delivered Progressive Muscle Relaxation for the Treatment of Migraine in Primary Care: A Randomized Controlled Trial. Headache: The Journal of Head and Face Pain 2020;60(10):2232
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Bourke A, Dixon WG, Roddam A, Lin KJ, Hall GC, Curtis JR, van der Veer SN, Soriano‐Gabarró M, Mills JK, Major JM, Verstraeten T, Francis MJ, Bartels DB. Incorporating patient generated health data into pharmacoepidemiological research. Pharmacoepidemiology and Drug Safety 2020;29(12):1540
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Minen MT, Corner S, Berk T, Levitan V, Friedman S, Adhikari S, Seng EB. Heartrate variability biofeedback for migraine using a smartphone application and sensor: A randomized controlled trial. General Hospital Psychiatry 2021;69:41
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Allan S, Mcleod H, Bradstreet S, Bell I, Whitehill H, Wilson-Kay A, Clark A, Matrunola C, Morton E, Farhall J, Gleeson J, Gumley A. Perspectives of Trial Staff on the Barriers to Recruitment in a Digital Intervention for Psychosis and How to Work Around Them: Qualitative Study Within a Trial. JMIR Human Factors 2021;8(1):e24055
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Hulme WJ, Martin GP, Sperrin M, Casson AJ, Bucci S, Lewis S, Peek N. Adaptive Symptom Monitoring Using Hidden Markov Models – An Application in Ecological Momentary Assessment. IEEE Journal of Biomedical and Health Informatics 2021;25(5):1770
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De Cock D, Myasoedova E, Aletaha D, Studenic P. Big data analyses and individual health profiling in the arena of rheumatic and musculoskeletal diseases (RMDs). Therapeutic Advances in Musculoskeletal Disease 2022;14:1759720X2211059
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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
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Gates E, Hole B, Hayward S, Chesnaye NC, Meuleman Y, Dekker FW, Evans M, Heimburger O, Torino C, Porto G, Szymczak M, Drechsler C, Wanner C, Jager KJ, Roderick P, Caskey F. Converting from face-to-face to postal follow-up and its effects on participant retention, response rates and errors: lessons from the EQUAL study in the UK. BMC Medical Research Methodology 2022;22(1)
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Leonard KS, Pauley AM, Guo P, Hohman EE, Rivera DE, Savage JS, Symons Downs D. Feasibility and user acceptability of Breezing™, a mobile indirect calorimetry device, in pregnant women with overweight or obesity. Smart Health 2023;27:100372
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Jones SL, Hue W, Kelly RM, Barnett R, Henderson V, Sengupta R. Determinants of Longitudinal Adherence in Smartphone-Based Self-Tracking for Chronic Health Conditions. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2021;5(1):1
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Rogers A, De Paoli G, Subbarayan S, Copland R, Harwood K, Coyle J, Mitchell L, MacDonald TM, Mackenzie IS. A systematic review of methods used to conduct decentralised clinical trials. British Journal of Clinical Pharmacology 2022;88(6):2843
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Doumen M, Westhovens R, Pazmino S, Bertrand D, Stouten V, Neys C, Creten N, Van Laeken E, Verschueren P, De Cock D. The ideal mHealth-application for rheumatoid arthritis: qualitative findings from stakeholder focus groups. BMC Musculoskeletal Disorders 2021;22(1)
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Beukenhorst AL, Druce KL, De Cock D. Smartphones for musculoskeletal research – hype or hope? Lessons from a decennium of mHealth studies. BMC Musculoskeletal Disorders 2022;23(1)
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Humphreys JH, Cook L, Clarkson P, Dixon WG. The Influence of Chronic Pain on Social Care Service Use in the UK. Journal of Long-Term Care 2022;0(2022):40
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Schreurs L, Steenhout I, Bosmans J, Buyl R, De Cock D. Can mHealth bridge the digital divide in rheumatic and musculoskeletal conditions?. BMC Digital Health 2023;1(1)
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Hasan B, Fike A, Hasni S. Health disparities in systemic lupus erythematosus—a narrative review. Clinical Rheumatology 2022;41(11):3299
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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
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Das R, Muldoon M, Lunt M, McBeth J, Yimer BB, House T, Buchan I. Modelling and classifying joint trajectories of self-reported mood and pain in a large cohort study. PLOS Digital Health 2023;2(3):e0000204
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