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

Apps, Mobile, Wearables for Diabetes (334) Human Factors and Usability Case Studies (896) Usability of Apps and User Perceptions of mHealth (1087)

Published on in Vol 4, No 2 (2019): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11462, first published .
Influence of Patient Characteristics and Psychological Needs on Diabetes Mobile App Usability in Adults With Type 1 or Type 2 Diabetes: Crossover Randomized Trial

Influence of Patient Characteristics and Psychological Needs on Diabetes Mobile App Usability in Adults With Type 1 or Type 2 Diabetes: Crossover Randomized Trial

Influence of Patient Characteristics and Psychological Needs on Diabetes Mobile App Usability in Adults With Type 1 or Type 2 Diabetes: Crossover Randomized Trial

Authors of this article:

Helen NC Fu1 Author Orcid Image ;   Terrence J Adam2, 3 Author Orcid Image ;   Joseph A Konstan4 Author Orcid Image ;   Julian A Wolfson5 Author Orcid Image ;   Thomas R Clancy6 Author Orcid Image ;   Jean F Wyman1 Author Orcid Image
Article Authors Cited by (17) Tweetations (1) Metrics

Journals

  1. Tay W, Kaur B, Quek R, Lim J, Henry C. Current Developments in Digital Quantitative Volume Estimation for the Optimisation of Dietary Assessment. Nutrients 2020;12(4):1167 View
  2. Young H, Miyamoto S, Dharmar M, Tang-Feldman Y. Nurse Coaching and Mobile Health Compared With Usual Care to Improve Diabetes Self-Efficacy for Persons With Type 2 Diabetes: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(3):e16665 View
  3. Rowland S, Fitzgerald J, Holme T, Powell J, McGregor A. What is the clinical value of mHealth for patients?. npj Digital Medicine 2020;3(1) View
  4. Fu H, Jin D, Adam T. Content Analysis: First-Time Patient User Challenges with Top-Rated Commercial Diabetes Apps. Telemedicine and e-Health 2021;27(6):663 View
  5. Fu H, Rizvi R, Wyman J, Adam T. Usability Evaluation of Four Top-Rated Commercially Available Diabetes Apps for Adults With Type 2 Diabetes. CIN: Computers, Informatics, Nursing 2020;38(6):274 View
  6. Willis M, Hein L, Hu Z, Saran R, Argentina M, Bragg-Gresham J, Krein S, Gillespie B, Zheng K, Veinot T. Feeling better on hemodialysis: user-centered design requirements for promoting patient involvement in the prevention of treatment complications. Journal of the American Medical Informatics Association 2021;28(8):1612 View
  7. Martinez W, Hackstadt A, Hickson G, Knoerl T, Rosenbloom S, Wallston K, Elasy T. The My Diabetes Care Patient Portal Intervention: Usability and Pre-Post Assessment. Applied Clinical Informatics 2021;12(03):539 View
  8. Kavanagh M, Chiavaroli L, Glenn A, Heijmans G, Grant S, Chow C, Josse R, Malik V, Watson W, Lofters A, Holmes C, Rackal J, Srichaikul K, Sherifali D, Snelgrove-Clarke E, Udell J, Juni P, Booth G, Farkouh M, Leiter L, Kendall C, Jenkins D, Sievenpiper J. A Web-Based Health Application to Translate Nutrition Therapy for Cardiovascular Risk Reduction in Primary Care (PortfolioDiet.app): Quality Improvement and Usability Testing Study. JMIR Human Factors 2022;9(2):e34704 View
  9. Lima A, da Silva Martins M, Ferreira M, Fernandes C, Schoeller S, Parola V. From the challenge of assessing autonomy to the instruments used in practice: A scoping review. Porto Biomedical Journal 2022;7(4):e153 View
  10. Fu H, Wyman J, Peden-McAlpine C, Draucker C, Schleyer T, Adam T. App Design Features Important for Diabetes Self-management as Determined by the Self-Determination Theory on Motivation: Content Analysis of Survey Responses From Adults Requiring Insulin Therapy. JMIR Diabetes 2023;8:e38592 View
  11. Lima A, da Silva Martins M, Ferreira M, Fernandes C, Schoeller S, Coelho A, Parola V. Concept of older person autonomy: phenomenological study of the opinion of specialist nurses. Porto Biomedical Journal 2022;7(6):e178 View
  12. Gandhi K, Ives R. The Efficacy of mHealth Interventions in Treatment of Gestational Diabetes Mellitus: A Research Protocol. Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal 2021;5(3):1 View
  13. Quaedackers L, Van Gilst M, Van Den Brandt I, Vilanova A, Lammers G, Markopoulos P, Overeem S. The Burden of Narcolepsy in Adults: A Population Sampling Study Using Personal Media. Behavioral Sleep Medicine 2024;22(2):179 View
  14. Choi J, Ma D, Wolfson J, Wyman J, Adam T, Fu H. Associations Between Psychosocial Needs, Carbohydrate-Counting Behavior, and App Satisfaction: A Randomized Crossover App Trial on 92 Adults With Diabetes. CIN: Computers, Informatics, Nursing 2023;41(12):1026 View
  15. Waki K, Tsurutani Y, Waki H, Enomoto S, Kashiwabara K, Fujiwara A, Orime K, Kinguchi S, Yamauchi T, Hirawa N, Tamura K, Terauchi Y, Nangaku M, Ohe K. Efficacy of StepAdd, a Personalized mHealth Intervention Based on Social Cognitive Theory to Increase Physical Activity Among Patients With Type 2 Diabetes Mellitus: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2024;13:e53514 View
  16. Edmonds T, Drake H, Miller J, Trabue N, Lister C, Salunkhe S, O’Keefe M, Alzahrani S, White K, Levinson A. A Framework for Integrating Arts, Science, and Social Justice Into Culturally Responsive Public Health Communication and Innovation Designs. Health Promotion Practice 2021;22(1_suppl):70S View

Books/Policy Documents

  1. Zoubir M, Wessel D, Schrills T, Franke T, Heine M. Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). View