Published on 02.05.18 in Vol 20, No 5 (2018): May
Works citing "Diffusion of the Digital Health Self-Tracking Movement in Canada: Results of a National Survey"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.9388):
(note that this is only a small subset of citations)
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Ake A, Arcand M. The impact of mobile health monitoring on the evolution of patient-pharmacist relationships. International Journal of Pharmaceutical and Healthcare Marketing 2020;14(1):1
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Brietzke E, Vazquez GH, Kang MJ, Soares CN. Pharmacological treatment for insomnia in patients with major depressive disorder. Expert Opinion on Pharmacotherapy 2019;20(11):1341
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Strain T, Wijndaele K, Brage S. Physical Activity Surveillance Through Smartphone Apps and Wearable Trackers: Examining the UK Potential for Nationally Representative Sampling. JMIR mHealth and uHealth 2019;7(1):e11898
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Huh U, Tak YJ, Song S, Chung SW, Sung SM, Lee CW, Bae M, Ahn HY. Feedback on Physical Activity Through a Wearable Device Connected to a Mobile Phone App in Patients With Metabolic Syndrome: Pilot Study. JMIR mHealth and uHealth 2019;7(6):e13381
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. Prevention-oriented ECG Teleconsulting That Involves Consumer Wearables: Exploration of Service Adoption Patterns and Institutional Impact. Procedia Computer Science 2019;160:417
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Mayer G, Alvarez S, Gronewold N, Schultz J. Expressions of Individualization on the Internet and Social Media: Multigenerational Focus Group Study. Journal of Medical Internet Research 2020;22(11):e20528
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. Increasing Patient Engagement Through the Use of Wearable Technology. The Journal for Nurse Practitioners 2019;15(8):535
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Siaw A, Jiang Y, Twumasi MA, Agbenyo W. The Impact of Internet Use on Income: The Case of Rural Ghana. Sustainability 2020;12(8):3255
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Appireddy R, Khan S, Leaver C, Martin C, Jin A, Durafourt BA, Archer SL. Home Virtual Visits for Outpatient Follow-Up Stroke Care: Cross-Sectional Study. Journal of Medical Internet Research 2019;21(10):e13734
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Rising CJ, Jensen RE, Moser RP, Oh A. Characterizing the US Population by Patterns of Mobile Health Use for Health and Behavioral Tracking: Analysis of the National Cancer Institute's Health Information National Trends Survey Data. Journal of Medical Internet Research 2020;22(5):e16299
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Holtz B, Vasold K, Cotten S, Mackert M, Zhang M. Health Care Provider Perceptions of Consumer-Grade Devices and Apps for Tracking Health: A Pilot Study. JMIR mHealth and uHealth 2019;7(1):e9929
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McKinney P, Cox AM, Sbaffi L. Information Literacy in Food and Activity Tracking Among Parkrunners, People With Type 2 Diabetes, and People With Irritable Bowel Syndrome: Exploratory Study. Journal of Medical Internet Research 2019;21(8):e13652
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Heidel A, Hagist C. Potential Benefits and Risks Resulting From the Introduction of Health Apps and Wearables Into the German Statutory Health Care System: Scoping Review. JMIR mHealth and uHealth 2020;8(9):e16444
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Ringeval M, Wagner G, Denford J, Paré G, Kitsiou S. Fitbit-Based Interventions for Healthy Lifestyle Outcomes: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(10):e23954
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Lin AW, Baik SH, Aaby D, Tello L, Linville T, Alshurafa N, Spring B. eHealth Practices in Cancer Survivors With BMI in Overweight or Obese Categories: Latent Class Analysis Study. JMIR Cancer 2020;6(2):e24137
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Wong A, Bhyat R, Srivastava S, Boissé Lomax L, Appireddy R. Patient Care During the COVID-19 Pandemic: Use of Virtual Care. Journal of Medical Internet Research 2021;23(1):e20621
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Jaana M, Paré G. Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey. JMIR mHealth and uHealth 2020;8(11):e24718
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Grenier Ouimet A, Wagner G, Raymond L, Pare G. Investigating Patients’ Intention to Continue Using Teleconsultation to Anticipate Postcrisis Momentum: Survey Study. Journal of Medical Internet Research 2020;22(11):e22081
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Lokker C, Jezrawi R, Gabizon I, Varughese J, Brown M, Trottier D, Alvarez E, Schwalm J, McGillion M, Ma J, Bhagirath V. Feasibility of a Web-Based Platform (Trial My App) to Efficiently Conduct Randomized Controlled Trials of mHealth Apps For Patients With Cardiovascular Risk Factors: Protocol For Evaluating an mHealth App for Hypertension. JMIR Research Protocols 2021;10(2):e26155
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Kitsiou S, Gerber BS, Kansal MM, Buchholz SW, Chen J, Ruppar T, Arrington J, Owoyemi A, Leigh J, Pressler SJ. Patient-centered mobile health technology intervention to improve self-care in patients with chronic heart failure: Protocol for a feasibility randomized controlled trial. Contemporary Clinical Trials 2021;106:106433
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Palos-Sanchez PR, Saura JR, Rios Martin M, Aguayo-Camacho M. Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study. JMIR mHealth and uHealth 2021;9(9):e27021
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Dolezel M, Smutny Z. Usage of eHealth/mHealth Services among Young Czech Adults and the Impact of COVID-19: An Explorative Survey. International Journal of Environmental Research and Public Health 2021;18(13):7147
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Feng S, Mäntymäki M, Dhir A, Salmela H. How Self-tracking and the Quantified Self Promote Health and Well-being: A Systematic Literature Review (Preprint). Journal of Medical Internet Research 2020;
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Zhang Y, Zhao C. The role of sustainable urban employee basic medical insurance in health risk appraisal of urban residents. Work 2021;:1
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Kingsnorth AP, Patience M, Moltchanova E, Esliger DW, Paine NJ, Hobbs M. Changes in Device-Measured Physical Activity Patterns in U.K. Adults Related to the First COVID-19 Lockdown. Journal for the Measurement of Physical Behaviour 2021;4(3):247
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Buss VH, Varnfield M, Harris M, Barr M. Mobile Health Use by Older Individuals at Risk of Cardiovascular Disease and Type 2 Diabetes Mellitus in an Australian Cohort: Cross-sectional Survey Study. JMIR mHealth and uHealth 2022;10(9):e37343
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Wang T, Wang W, Liang J, Nuo M, Wen Q, Wei W, Han H, Lei J. Identifying major impact factors affecting the continuance intention of mHealth: a systematic review and multi-subgroup meta-analysis. npj Digital Medicine 2022;5(1)
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Kim B, Ghasemi P, Stolee P, Lee J. Clinicians and Older Adults’ Perceptions of the Utility of Patient-Generated Health Data in Caring for Older Adults: Exploratory Mixed Methods Study. JMIR Aging 2021;4(4):e29788
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Buss VH, Varnfield M, Harris M, Barr M. Remotely Conducted App-Based Intervention for Cardiovascular Disease and Diabetes Risk Awareness and Prevention: Single-Group Feasibility Trial. JMIR Human Factors 2022;9(3):e38469
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Walle AD, Jemere AT, Tilahun B, Endehabtu BF, Wubante SM, Melaku MS, Tegegne MD, Gashu KD. Intention to use wearable health devices and its predictors among diabetes mellitus patients in Amhara region referral hospitals, Ethiopia: Using modified UTAUT-2 model. Informatics in Medicine Unlocked 2023;36:101157
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Van Wier MF, Urry E, Lissenberg-Witte BI, Kramer SE. User characteristics associated with use of wrist-worn wearables and physical activity apps by adults with and without impaired speech-in-noise recognition: a cross-sectional analysis. International Journal of Audiology 2024;63(1):49
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Lau EY, Mitchell MS, Faulkner G. Long-term usage of a commercial mHealth app: A “multiple-lives” perspective. Frontiers in Public Health 2022;10
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Peng C, Zhao H, Zhang S. Determinants and Cross-National Moderators of Wearable Health Tracker Adoption: A Meta-Analysis. Sustainability 2021;13(23):13328
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Henson C, Chapman F, Shepherd G, Carlson B, Chau JY, Gwynn J, McCowen D, Rambaldini B, Ward K, Gwynne K. Mature aged Aboriginal and Torres Strait Islander adults are using digital health technologies (original research). DIGITAL HEALTH 2022;8:205520762211458
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. Des médecins du sommeil aux prises avec les technologies d’automesure. Médecine du Sommeil 2023;20(4):213
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Findeis C, Salfeld B, Voigt S, Gerisch B, King V, Ostern AR, Rosa H. Quantifying self-quantification: A statistical study on individual characteristics and motivations for digital self-tracking in young- and middle-aged adults in Germany. New Media & Society 2023;25(9):2300
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Pilgrim K, Bohnet-Joschko S. Donating Health Data to Research: Influential Characteristics of Individuals Engaging in Self-Tracking. International Journal of Environmental Research and Public Health 2022;19(15):9454
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Baumann MF, Weinberger N, Maia M, Schmid K. User types, psycho-social effects and societal trends related to the use of consumer health technologies. DIGITAL HEALTH 2023;9:205520762311639
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SEKERCİOGLU F, HAMİD S. Ontario's Digital Health Vision in the post-COVID-19 Pandemic Era: A Canadian Perspective. Journal of International Health Sciences and Management 2023;9(17):15
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Körner R, Schütz A. Examining the links between self-tracking and perfectionism dimensions. Current Issues in Personality Psychology 2023;
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Lu JK, Sijm M, Janssens GE, Goh J, Maier AB. Remote monitoring technologies for measuring cardiovascular functions in community-dwelling adults: a systematic review. GeroScience 2023;45(5):2939
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Gauthier-Beaupré A, Grosjean S. Understanding acceptability of digital health technologies among francophone-speaking communities across the world: a meta-ethnographic study. Frontiers in Communication 2023;8
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Henson C, Rambaldini B, Freedman B, Carlson B, Parter C, Christie V, Skinner J, Meharg D, Kirwan M, Ward K, Speier SN, Gwynne K. Wearables for early detection of atrial fibrillation and timely referral for Indigenous people ≥55 years: mixed-methods protocol. BMJ Open 2024;14(1):e077820
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.9388):
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. Patient Engagement. 2019. Chapter 10:269
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Vaid SS, Harari GM. Digital Phenotyping and Mobile Sensing. 2019. Chapter 5:65
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Maloney S, Hagens S. Introduction to Nursing Informatics. 2021. Chapter 8:203
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. Crises de confiance ?. 2020. :87
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Vaid SS, Harari GM. Digital Phenotyping and Mobile Sensing. 2023. Chapter 6:77
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Kadena K, Lazarou E. Handbook of Computational Neurodegeneration. 2022. Chapter 5-1:1
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Kadena K, Lazarou E. Handbook of Computational Neurodegeneration. 2023. Chapter 5:503
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