Published on in Vol 5, No 1 (2016): Jan-Mar

Evidence-Based mHealth Chronic Disease Mobile App Intervention Design: Development of a Framework

Evidence-Based mHealth Chronic Disease Mobile App Intervention Design: Development of a Framework

Evidence-Based mHealth Chronic Disease Mobile App Intervention Design: Development of a Framework

Journals

  1. Bellei E, Biduski D, Cechetti N, De Marchi A. Diabetes Mellitus m-Health Applications: A Systematic Review of Features and Fundamentals. Telemedicine and e-Health 2018;24(11):839 View
  2. Tran C, Dicker A, Leiby B, Gressen E, Williams N, Jim H. Utilizing Digital Health to Collect Electronic Patient-Reported Outcomes in Prostate Cancer: Single-Arm Pilot Trial. Journal of Medical Internet Research 2020;22(3):e12689 View
  3. Giunti G. 3MD for Chronic Conditions, a Model for Motivational mHealth Design: Embedded Case Study. JMIR Serious Games 2018;6(3):e11631 View
  4. Maheu M, Nicolucci V, Pulier M, Wall K, Frye T, Hudlicka E. The Interactive Mobile App Review Toolkit (IMART): a Clinical Practice-Oriented System. Journal of Technology in Behavioral Science 2016;1(1-4):3 View
  5. Downes E, Horigan A, Teixeira P. The transformation of health care for patients: Information and communication technology, digiceuticals, and digitally enabled care. Journal of the American Association of Nurse Practitioners 2019;31(3):156 View
  6. Cho H, Flynn G, Saylor M, Gradilla M, Schnall R. Use of the FITT framework to understand patients’ experiences using a real-time medication monitoring pill bottle linked to a mobile-based HIV self-management app: A qualitative study. International Journal of Medical Informatics 2019;131:103949 View
  7. Edwards E, Caton H, Lumsden J, Rivas C, Steed L, Pirunsarn Y, Jumbe S, Newby C, Shenvi A, Mazumdar S, Smith J, Greenhill D, Griffiths C, Walton R. Creating a Theoretically Grounded, Gamified Health App: Lessons From Developing the Cigbreak Smoking Cessation Mobile Phone Game. JMIR Serious Games 2018;6(4):e10252 View
  8. Polhemus A, Novák J, Ferrao J, Simblett S, Radaelli M, Locatelli P, Matcham F, Kerz M, Weyer J, Burke P, Huang V, Dockendorf M, Temesi G, Wykes T, Comi G, Myin-Germeys I, Folarin A, Dobson R, Manyakov N, Narayan V, Hotopf M. Human-Centered Design Strategies for Device Selection in mHealth Programs: Development of a Novel Framework and Case Study. JMIR mHealth and uHealth 2020;8(5):e16043 View
  9. Cho H, Porras T, Flynn G, Schnall R. Usability of a Consumer Health Informatics Tool Following Completion of a Clinical Trial: Focus Group Study. Journal of Medical Internet Research 2020;22(6):e17708 View
  10. Mandracchia F, Llauradó E, Tarro L, Valls R, Solà R. Mobile Phone Apps for Food Allergies or Intolerances in App Stores: Systematic Search and Quality Assessment Using the Mobile App Rating Scale (MARS). JMIR mHealth and uHealth 2020;8(9):e18339 View
  11. Salari R, R Niakan Kalhori S, Ghazisaeidi M, Fatehi F. Conformity of Diabetes Mobile apps with the Chronic Care Model. BMJ Health & Care Informatics 2019;26(1):e000017 View
  12. Farao J, Malila B, Conrad N, Mutsvangwa T, Rangaka M, Douglas T, Schnall R. A user-centred design framework for mHealth. PLOS ONE 2020;15(8):e0237910 View
  13. Im E, Kim S, Xu S, Lee C, Hamajima Y, Inohara A, Chang K, Chee E, Chee W. Issues in Recruiting and Retaining Asian American Breast Cancer Survivors in a Technology-Based Intervention Study. Cancer Nursing 2020;43(1):E22 View
  14. . 7. Diabetes Technology: Standards of Medical Care in Diabetes—2020. Diabetes Care 2020;43(Supplement 1):S77 View
  15. Dobkin B. A Rehabilitation-Internet-of-Things in the Home to Augment Motor Skills and Exercise Training. Neurorehabilitation and Neural Repair 2017;31(3):217 View
  16. Carbonnel F, Ninot G. Identifying Frameworks for Validation and Monitoring of Consensual Behavioral Intervention Technologies: Narrative Review. Journal of Medical Internet Research 2019;21(10):e13606 View
  17. Nekka F, Csajka C, Wilbaux M, Sanduja S, Li J, Pfister M. Pharmacometrics-based decision tools facilitate mHealth implementation. Expert Review of Clinical Pharmacology 2017;10(1):39 View
  18. Larbi D, Randine P, Årsand E, Antypas K, Bradway M, Gabarron E. Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review. Journal of Medical Internet Research 2020;22(7):e18480 View
  19. Cho H, Porras T, Baik D, Beauchemin M, Schnall R. Understanding the predisposing, enabling, and reinforcing factors influencing the use of a mobile-based HIV management app: A real-world usability evaluation. International Journal of Medical Informatics 2018;117:88 View
  20. Fiordelli M, Zanini C, Amann J, Scheel-Sailer A, Brach M, Stucki G, Rubinelli S. Selecting Evidence-Based Content for Inclusion in Self-Management Apps for Pressure Injuries in Individuals With Spinal Cord Injury: Participatory Design Study. JMIR mHealth and uHealth 2020;8(5):e15818 View
  21. Downing J, Bollyky J, Schneider J. Use of a Connected Glucose Meter and Certified Diabetes Educator Coaching to Decrease the Likelihood of Abnormal Blood Glucose Excursions: The Livongo for Diabetes Program. Journal of Medical Internet Research 2017;19(7):e234 View
  22. Saberi P, Siedle-Khan R, Sheon N, Lightfoot M. The Use of Mobile Health Applications Among Youth and Young Adults Living with HIV: Focus Group Findings. AIDS Patient Care and STDs 2016;30(6):254 View
  23. Bendtsen M, Bendtsen P, Henriksson H, Henriksson P, Müssener U, Thomas K, Löf M. The Mobile Health Multiple Lifestyle Behavior Interventions Across the Lifespan (MoBILE) Research Program: Protocol for Development, Evaluation, and Implementation. JMIR Research Protocols 2020;9(4):e14894 View
  24. Blakey J, Bender B, Dima A, Weinman J, Safioti G, Costello R. Digital technologies and adherence in respiratory diseases: the road ahead. European Respiratory Journal 2018;52(5):1801147 View
  25. Vehi J, Regincós Isern J, Parcerisas A, Calm R, Contreras I. Impact of Use Frequency of a Mobile Diabetes Management App on Blood Glucose Control: Evaluation Study. JMIR mHealth and uHealth 2019;7(3):e11933 View
  26. Kaufman N, Salahi A. Using Digital Health Technology to Prevent and Treat Diabetes. Diabetes Technology & Therapeutics 2017;19(S1):S-59 View
  27. Hightow-Weidman L, Muessig K. New media challenges and opportunities. Sexually Transmitted Infections 2017;93(5):309 View
  28. . 7. Diabetes Technology: Standards of Medical Care in Diabetes—2021. Diabetes Care 2021;44(Supplement 1):S85 View
  29. Forsyth J, Chase H, Roberts N, Armitage L, Farmer A. Application of the National Institute for Health and Care Excellence Evidence Standards Framework for Digital Health Technologies in Assessing Mobile-Delivered Technologies for the Self-Management of Type 2 Diabetes Mellitus: Scoping Review. JMIR Diabetes 2021;6(1):e23687 View
  30. Chang W, Wang Y, Chang Y, Lo S. Effectiveness of an App-Based Mobile Intervention for Precision Oral Self-Care in Patients with Periodontitis from Initial Therapy to Re-Evaluation. Applied Sciences 2021;11(9):4229 View
  31. Ku J, Sim I. Mobile Health: making the leap to research and clinics. npj Digital Medicine 2021;4(1) View
  32. Song T, Yu P, Bliokas V, Probst Y, Peoples G, Qian S, Houston L, Perez P, Amirghasemi M, Cui T, Hitige N, Smith N. A Clinician-Led, Experience-Based Co-Design Approach for Developing mHealth Services to Support the Patient Self-management of Chronic Conditions: Development Study and Design Case. JMIR mHealth and uHealth 2021;9(7):e20650 View