Published on in Vol 1, No 2 (2016): Jul-Dec

DiaFit: The Development of a Smart App for Patients with Type 2 Diabetes and Obesity

DiaFit: The Development of a Smart App for Patients with Type 2 Diabetes and Obesity

DiaFit: The Development of a Smart App for Patients with Type 2 Diabetes and Obesity

Journals

  1. Sheon A, Bolen S, Callahan B, Shick S, Perzynski A. Addressing Disparities in Diabetes Management Through Novel Approaches to Encourage Technology Adoption and Use. JMIR Diabetes 2017;2(2):e16 View
  2. Trawley S, Baptista S, Browne J, Pouwer F, Speight J. The Use of Mobile Applications Among Adults with Type 1 and Type 2 Diabetes: Results from the Second MILES—Australia (MILES-2) Study. Diabetes Technology & Therapeutics 2017;19(12):730 View
  3. Schmocker K, Zwahlen F, Denecke K. Mobile App for Simplifying Life With Diabetes: Technical Description and Usability Study of GlucoMan. JMIR Diabetes 2018;3(1):e6 View
  4. Weatherall J, Paprocki Y, Meyer T, Kudel I, Witt E. Sleep Tracking and Exercise in Patients With Type 2 Diabetes Mellitus (Step-D): Pilot Study to Determine Correlations Between Fitbit Data and Patient-Reported Outcomes. JMIR mHealth and uHealth 2018;6(6):e131 View
  5. Griffin L, Lee D, Jaisle A, Carek P, George T, Laber E, Lok B, Modave F, Paskett E, Krieger J. Creating an mHealth App for Colorectal Cancer Screening: User-Centered Design Approach. JMIR Human Factors 2019;6(2):e12700 View
  6. Jeffrey B, Bagala M, Creighton A, Leavey T, Nicholls S, Wood C, Longman J, Barker J, Pit S. Mobile phone applications and their use in the self-management of Type 2 Diabetes Mellitus: a qualitative study among app users and non-app users. Diabetology & Metabolic Syndrome 2019;11(1) View
  7. Kaplan H, Thakkar S, Burns L, Chini B, Dykes D, McPhail G, Moore E, Saeed S, Eslick I, Margolis P, Opipari-Arrigan L. Protocol of a Pilot Study of Technology-Enabled Coproduction in Pediatric Chronic Illness Care. JMIR Research Protocols 2017;6(4):e71 View
  8. Rivard L, Lehoux P, Alami H. “It’s not just hacking for the sake of it”: a qualitative study of health innovators’ views on patient-driven open innovations, quality and safety. BMJ Quality & Safety 2021;30(9):731 View
  9. Duffy A, Christie G, Moreno S. Examining Challenges to the Incorporation of End Users in the Design of Digital Health Interventions: Protocol for a Systematic Review. JMIR Research Protocols 2021;10(7):e28083 View
  10. Burda V, Mráz M, Schneider J, Novák D. Managing Diabetes Using Mobiab: Long-Term Case Study of the Impact of a Mobile App on Self-management. JMIR Diabetes 2022;7(2):e36675 View
  11. Bodington R, Kassianides X, Bhandari S. Point-of-care testing technologies for the home in chronic kidney disease: a narrative review. Clinical Kidney Journal 2021;14(11):2316 View
  12. Crehan C, Chiume M, Mgusha Y, Dinga P, Hull-Bailey T, Normand C, Sassoon Y, Nkhoma D, Greenwood K, Lorencatto F, Lakhanpaul M, Heys M. Usability-Focused Development and Usage of NeoTree-Beta, an App for Newborn Care in a Low-Resource Neonatal Unit, Malawi. Frontiers in Public Health 2022;10 View
  13. Oates G, Mims C, Geurs R, Bergquist R, Hager A, Guimbellot J, Hartzes A, Gutierrez H. Mobile health platform for self-management of pediatric cystic fibrosis: Impact on patient-centered care outcomes. Journal of Cystic Fibrosis 2023;22(5):823 View
  14. 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

Books/Policy Documents

  1. Chumkasian W, Win K, Vlahu-Gjorgievska E, Freeman M, Fernandez R, Green H, Petsoglou C. Persuasive Technology. View