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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1301) Participatory Medicine & E-Patients (758) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (538) Telehealth and Telemonitoring (1556) mHealth for Wellness, Behavior Change and Prevention (2728) Glucose Tracking and Self-Monitoring of Blood Glucose (150) Diabetes Self-Management (462)

Published on in Vol 6, No 2 (2018): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9265, first published .
Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis

Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis

Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis

Authors of this article:

Charlene Connolly Quinn1 Author Orcid Image ;   Erin C Butler2 Author Orcid Image ;   Krystal K Swasey1 Author Orcid Image ;   Michelle D Shardell3 Author Orcid Image ;   Michael D Terrin1 Author Orcid Image ;   Erik A Barr1 Author Orcid Image ;   Ann L Gruber-Baldini1 Author Orcid Image
Article Authors Cited by (39) Tweetations (5) Metrics

Journals

  1. Surkan P, Mezzanotte K, Sena L, Chang L, Gittelsohn J, Trolle Lagerros Y, Quinn C, Zachary W. Community-Driven Priorities in Smartphone Application Development: Leveraging Social Networks to Self-Manage Type 2 Diabetes in a Low-Income African American Neighborhood. International Journal of Environmental Research and Public Health 2019;16(15):2715 View
  2. Kaufman N, Ferrin C, Sugrue D. Using Digital Health Technology to Prevent and Treat Diabetes. Diabetes Technology & Therapeutics 2019;21(S1):S-79 View
  3. Nelson L, Spieker A, Greevy R, LeStourgeon L, Wallston K, Mayberry L. User Engagement Among Diverse Adults in a 12-Month Text Message–Delivered Diabetes Support Intervention: Results from a Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(7):e17534 View
  4. Cafazzo J. A Digital-First Model of Diabetes Care. Diabetes Technology & Therapeutics 2019;21(S2):S2-52 View
  5. Zhou F, Yeaw J, Karkare S, DeKoven M, Berhanu P, Reid T. Impact of a structured patient support program on adherence and persistence in basal insulin therapy for type 2 diabetes. BMJ Open Diabetes Research & Care 2018;6(1):e000593 View
  6. Huh U, Tak Y, Song S, Chung S, Sung S, Lee C, Bae M, Ahn H. 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 View
  7. Quinn C, Swasey K, Torain J, Shardell M, Terrin M, Barr E, Gruber-Baldini A. An mHealth Diabetes Intervention for Glucose Control: Health Care Utilization Analysis. JMIR mHealth and uHealth 2018;6(10):e10776 View
  8. Quinn C, Staub S, Barr E, Gruber-Baldini A. Mobile Support for Older Adults and Their Caregivers: Dyad Usability Study. JMIR Aging 2019;2(1):e12276 View
  9. Bradway M, Pfuhl G, Joakimsen R, Ribu L, Grøttland A, Årsand E, Borsci S. Analysing mHealth usage logs in RCTs: Explaining participants’ interactions with type 2 diabetes self-management tools. PLOS ONE 2018;13(8):e0203202 View
  10. Lyles C, Nelson E, Frampton S, Dykes P, Cemballi A, Sarkar U. Using Electronic Health Record Portals to Improve Patient Engagement: Research Priorities and Best Practices. Annals of Internal Medicine 2020;172(11_Supplement):S123 View
  11. Shan R, Sarkar S, Martin S. Digital health technology and mobile devices for the management of diabetes mellitus: state of the art. Diabetologia 2019;62(6):877 View
  12. Su J, Dugas M, Guo X, Gao G. Influence of Personality on mHealth Use in Patients with Diabetes: Prospective Pilot Study. JMIR mHealth and uHealth 2020;8(8):e17709 View
  13. Mei Y, Xu X, Li X. Encouraging Patient Engagement Behaviors from the Perspective of Functional Quality. International Journal of Environmental Research and Public Health 2020;17(22):8613 View
  14. Lee M, Lee D, Ahn H, Park C. A Novel User Utility Score for Diabetes Management Using Tailored Mobile Coaching: Secondary Analysis of a Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(2):e17573 View
  15. Klonoff D, Zhang J, Shang T, Mehta C, Kerr D. Pharmacoadherence: An Opportunity for Digital Health to Inform the Third Dimension of Pharmacotherapy for Diabetes. Journal of Diabetes Science and Technology 2021;15(1):177 View
  16. Beal L, Kolman J, Jones S, Khleif A, Menser T. Quantifying Patient Portal Use: Systematic Review of Utilization Metrics. Journal of Medical Internet Research 2021;23(2):e23493 View
  17. Fundoiano-Hershcovitz Y, Hirsch A, Dar S, Feniger E, Goldstein P. Role of Digital Engagement in Diabetes Care Beyond Measurement: Retrospective Cohort Study. JMIR Diabetes 2021;6(1):e24030 View
  18. Mehraeen E, Mehrtak M, Janfaza N, Karimi A, Heydari M, Mirzapour P, Mehranfar A. Design and Development of a Mobile-Based Self-Care Application for Patients with Type 2 Diabetes. Journal of Diabetes Science and Technology 2022;16(4):1008 View
  19. Chan C, Popeski N, Hassanabad M, Sigal R, O’Connell P, Sargious P. Use of Virtual Care for Glycemic Management in People With Types 1 and 2 Diabetes and Diabetes in Pregnancy: A Rapid Review. Canadian Journal of Diabetes 2021;45(7):677 View
  20. Fisher-Grace K, Turk M, Anthony M, Chia L. Use of Personal Health Records to Support Diabetes Self-management. CIN: Computers, Informatics, Nursing 2021;39(6):298 View
  21. Greenwood D, Litchman M, Isaacs D, Blanchette J, Dickinson J, Hughes A, Colicchio V, Ye J, Yehl K, Todd A, Peeples M. A New Taxonomy for Technology-Enabled Diabetes Self-Management Interventions: Results of an Umbrella Review. Journal of Diabetes Science and Technology 2022;16(4):812 View
  22. Nkhoma D, Soko C, Bowrin P, Manga Y, Greenfield D, Househ M, Li (Jack) Y, Iqbal U. Digital interventions self-management education for type 1 and 2 diabetes: A systematic review and meta-analysis. Computer Methods and Programs in Biomedicine 2021;210:106370 View
  23. Ferret J, Branco B, Santos L, Rocco F, Bernuci M. WhatsApp-assisted health education intervention. International Journal for Innovation Education and Research 2021;9(9):56 View
  24. Tong C, Kernoghan A, Lemmon K, Fernandes P, Elliott J, Sacco V, Bodemer S, Stolee P. Lessons and Reflections From an Extended Co-design Process Developing an mHealth App With and for Older Adults: Multiphase, Mixed Methods Study. JMIR Aging 2022;5(4):e39189 View
  25. Cenčič A, Prosen M, Ličen S. Mixed-methods research on diabetes patient health education using digital technologies. Kontakt 2022;24(2):123 View
  26. Fareed N, Swoboda C, Singh P, Boettcher E, Wang Y, Venkatesh K, Strouse R. Developing and testing an integrated patient mHealth and provider dashboard application system for type 2 diabetes management among Medicaid-enrolled pregnant individuals based on a user-centered approach: Mixed-methods study. DIGITAL HEALTH 2023;9:205520762211441 View
  27. Baker K, Nassar C, Baral N, Magee M. The current diabetes education experience: Findings of a cross-sectional survey of adults with type 2 diabetes. Patient Education and Counseling 2023;108:107615 View
  28. Jackson J, Leziak K, Niznik C, Yee L. Health Care Providers’ Utilization of and Perspectives on Mobile Health Technology for Diabetes and Pregnancy Support. Diabetes Spectrum 2021;34(3):257 View
  29. Brands M, Gouw S, Beestrum M, Cronin R, Fijnvandraat K, Badawy S. Patient-Centered Digital Health Records and Their Effects on Health Outcomes: Systematic Review. Journal of Medical Internet Research 2022;24(12):e43086 View
  30. Nelson L, Spieker A, Mayberry L, McNaughton C, Greevy R. Estimating the impact of engagement with digital health interventions on patient outcomes in randomized trials. Journal of the American Medical Informatics Association 2021;29(1):128 View
  31. Dunkel A, von Storch K, Hochheim M, Zank S, Polidori M, Woopen C. Long-term effects of a telemedically-assisted lifestyle intervention on glycemic control in patients with type 2 diabetes – A two-armed randomised controlled trial in Germany. Journal of Diabetes & Metabolic Disorders 2023;23(1):519 View
  32. Almarzooqi I, Zakaria H, Aleabova S, Caccelli M, Ozkan C, Skaf J, Bangayan J, Catapang D, Jaafar Z, Hashemi A, Said Y. Effectiveness of a hybrid technology enabled care model as measured by ICHOM standard set on established and managed type 2 diabetes already using medications: A RWE retrospective study. Metabolism Open 2023;20:100262 View
  33. Fareed N, Swoboda C, Wang Y, Strouse R, Hoseus J, Baker C, Joseph J, Venkatesh K. An Evidence-Based Framework for Creating Inclusive and Personalized mHealth Solutions—Designing a Solution for Medicaid-Eligible Pregnant Individuals With Uncontrolled Type 2 Diabetes. JMIR Diabetes 2023;8:e46654 View
  34. Mannoubi C, Kairy D, Menezes K, Desroches S, Layani G, Vachon B. The Key Digital Tool Features of Complex Telehealth Interventions Used for Type 2 Diabetes Self-Management and Monitoring With Health Professional Involvement: Scoping Review. JMIR Medical Informatics 2024;12:e46699 View
  35. Sheng Y, Bond R, Jaiswal R, Dinsmore J, Doyle J. Augmenting K-Means Clustering With Qualitative Data to Discover the Engagement Patterns of Older Adults With Multimorbidity When Using Digital Health Technologies: Proof-of-Concept Trial. Journal of Medical Internet Research 2024;26:e46287 View
  36. Chettri L, Rai R. A Perspective Review: State-of-the-Art on m-Health Services. SN Computer Science 2024;5(5) View
  37. Man C, Liu T, Yan S, Xie Q, Liu H. Research status and hotspots of patient engagement: A bibliometric analysis. Patient Education and Counseling 2024;125:108306 View

Books/Policy Documents

  1. Zarnegar A. Current and Future Trends in Health and Medical Informatics. View
  2. Nagowah S, Jodheea-Jutton A, Khedo K, Baichoo S, Cheerkoot-Jalim S, Nagowah L, Mungloo-Dilmohamud Z. Smart Mobile Communication & Artificial Intelligence. View