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Citing this Article

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Published on 02.05.18 in Vol 20, No 5 (2018): May

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

Works citing "Diffusion of the Digital Health Self-Tracking Movement in Canada: Results of a National Survey"

Guy Paré, Chad Leaver, Claire Bourget

J Med Internet Res 2018 (May 02); 20(5):e177 

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)

  1. 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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  2. 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
    CrossRef
  3. 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
    CrossRef
  4. 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
    CrossRef
  5. . Prevention-oriented ECG Teleconsulting That Involves Consumer Wearables: Exploration of Service Adoption Patterns and Institutional Impact. Procedia Computer Science 2019;160:417
    CrossRef
  6. 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
    CrossRef
  7. . Increasing Patient Engagement Through the Use of Wearable Technology. The Journal for Nurse Practitioners 2019;15(8):535
    CrossRef
  8. 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
    CrossRef
  9. 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
    CrossRef
  10. 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
    CrossRef
  11. 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
    CrossRef
  12. 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
    CrossRef
  13. 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
    CrossRef
  14. 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
    CrossRef
  15. 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
    CrossRef
  16. 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
    CrossRef
  17. 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
    CrossRef
  18. 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
    CrossRef
  19. 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
    CrossRef
  20. 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
    CrossRef
  21. 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
    CrossRef
  22. 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
    CrossRef
  23. 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;
    CrossRef
  24. Zhang Y, Zhao C. The role of sustainable urban employee basic medical insurance in health risk appraisal of urban residents. Work 2021;:1
    CrossRef
  25. 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
    CrossRef
  26. 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
    CrossRef
  27. 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)
    CrossRef
  28. 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
    CrossRef
  29. 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
    CrossRef
  30. 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
    CrossRef
  31. 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
    CrossRef
  32. Lau EY, Mitchell MS, Faulkner G. Long-term usage of a commercial mHealth app: A “multiple-lives” perspective. Frontiers in Public Health 2022;10
    CrossRef
  33. Peng C, Zhao H, Zhang S. Determinants and Cross-National Moderators of Wearable Health Tracker Adoption: A Meta-Analysis. Sustainability 2021;13(23):13328
    CrossRef
  34. 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
    CrossRef
  35. . Des médecins du sommeil aux prises avec les technologies d’automesure. Médecine du Sommeil 2023;20(4):213
    CrossRef
  36. 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
    CrossRef
  37. 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
    CrossRef
  38. 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
    CrossRef
  39. 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
    CrossRef
  40. Körner R, Schütz A. Examining the links between self-tracking and perfectionism dimensions. Current Issues in Personality Psychology 2023;
    CrossRef
  41. 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
    CrossRef
  42. 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
    CrossRef
  43. 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
    CrossRef
  44. Karsan S, Kuhn T, Ogrodnik M, Middleton LE, Heisz JJ. Exploring the interactive effect of dysfunctional sleep beliefs and mental health on sleep in university students. Frontiers in Sleep 2024;3
    CrossRef
  45. Karim JL, Wan R, Tabet RS, Chiu DS, Talhouk A. Person-Generated Health Data in Women’s Health: Scoping Review (Preprint). Journal of Medical Internet Research 2023;
    CrossRef
  46. Gagnon MM, Brilz AR, Alberts NM, Gordon JL, Risling TL, Stinson JN. Understanding Adolescents’ Experiences With Menstrual Pain to Inform the User-Centered Design of a Mindfulness-Based App: Mixed Methods Investigation Study. JMIR Pediatrics and Parenting 2024;7:e54658
    CrossRef
  47. Tóth K, Takács P, Balatoni I. Users’ Expectations of Smart Devices during Physical Activity—A Literature Review. Applied Sciences 2024;14(8):3518
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.9388):

  1. . Patient Engagement. 2019. Chapter 10:269
    CrossRef
  2. Vaid SS, Harari GM. Digital Phenotyping and Mobile Sensing. 2019. Chapter 5:65
    CrossRef
  3. Maloney S, Hagens S. Introduction to Nursing Informatics. 2021. Chapter 8:203
    CrossRef
  4. . Crises de confiance ?. 2020. :87
    CrossRef
  5. Vaid SS, Harari GM. Digital Phenotyping and Mobile Sensing. 2023. Chapter 6:77
    CrossRef
  6. Kadena K, Lazarou E. Handbook of Computational Neurodegeneration. 2022. Chapter 5-1:1
    CrossRef
  7. Kadena K, Lazarou E. Handbook of Computational Neurodegeneration. 2023. Chapter 5:503
    CrossRef