Published on in Vol 7, No 3 (2019): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11082, first published .
Development and Implementation of a Person-Centered, Technology-Enhanced Care Model For Managing Chronic Conditions: Cohort Study

Development and Implementation of a Person-Centered, Technology-Enhanced Care Model For Managing Chronic Conditions: Cohort Study

Development and Implementation of a Person-Centered, Technology-Enhanced Care Model For Managing Chronic Conditions: Cohort Study

Journals

  1. Guo Y, Hao Z, Zhao S, Gong J, Yang F. Artificial Intelligence in Health Care: Bibliometric Analysis. Journal of Medical Internet Research 2020;22(7):e18228 View
  2. Petersen C, Halter R, Kotz D, Loeb L, Cook S, Pidgeon D, Christensen B, Batsis J. Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study. JMIR mHealth and uHealth 2020;8(8):e16862 View
  3. Jendle J, Ericsson Å, Gundgaard J, Møller J, Valentine W, Hunt B. Smart Insulin Pens are Associated with Improved Clinical Outcomes at Lower Cost Versus Standard-of-Care Treatment of Type 1 Diabetes in Sweden: A Cost-Effectiveness Analysis. Diabetes Therapy 2021;12(1):373 View
  4. Ferrucci F, Jorio M, Marci S, Bezenchek A, Diella G, Nulli C, Miranda F, Castelli-Gattinara G. A Web-Based Application for Complex Health Care Populations: User-Centered Design Approach. JMIR Human Factors 2021;8(1):e18587 View
  5. Granström E, Wannheden C, Brommels M, Hvitfeldt H, Nyström M. Digital tools as promoters for person-centered care practices in chronic care? Healthcare professionals’ experiences from rheumatology care. BMC Health Services Research 2020;20(1) View
  6. Wannheden C, Stenfors T, Stenling A, von Thiele Schwarz U. Satisfied or Frustrated? A Qualitative Analysis of Need Satisfying and Need Frustrating Experiences of Engaging With Digital Health Technology in Chronic Care. Frontiers in Public Health 2021;8 View
  7. Jendle J. Analysis of “Glycemic Outcomes During Real-World Hybrid Closed-Loop System Use by Individuals With Type 1 Diabetes in the United States”. Journal of Diabetes Science and Technology 2023;17(4):959 View
  8. Martin-Payo R, Carrasco-Santos S, Cuesta M, Stoyan S, Gonzalez-Mendez X, Fernandez-Alvarez M. Spanish adaptation and validation of the User Version of the Mobile Application Rating Scale (uMARS). Journal of the American Medical Informatics Association 2021;28(12):2681 View
  9. Wannheden C, Roczniewska M, Hasson H, Karlgren K, von Thiele Schwarz U. Better self-care through co-care? A latent profile analysis of primary care patients' experiences of e-health–supported chronic care management. Frontiers in Public Health 2022;10 View
  10. Woldeamanuel Y, Cowan R. Computerized migraine diagnostic tools: a systematic review. Therapeutic Advances in Chronic Disease 2022;13:204062232110652 View
  11. Wannheden C, Åberg-Wennerholm M, Dahlberg M, Revenäs Å, Tolf S, Eftimovska E, Brommels M. Digital Health Technologies Enabling Partnerships in Chronic Care Management: Scoping Review. Journal of Medical Internet Research 2022;24(8):e38980 View
  12. Amagai S, Pila S, Kaat A, Nowinski C, Gershon R. Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review. Journal of Medical Internet Research 2022;24(4):e35120 View
  13. Lo Presti L, Testa M, Maggiore G, Marino V. Key drivers involved in the telemonitoring of covid-19 for self-health management: an exploratory factor analysis. BMC Health Services Research 2022;22(1) View
  14. Jendle J, Agvall B, Galozy A, Adolfsson P. Patterns and Predictors Associated With Long-Term Glycemic Control in Pediatric and Young Adult Patients with Type 1 Diabetes. Journal of Diabetes Science and Technology 2023;17(5):1243 View
  15. Cowan R, Rapoport A, Blythe J, Rothrock J, Knievel K, Peretz A, Ekpo E, Sanjanwala B, Woldeamanuel Y. Diagnostic accuracy of an artificial intelligence online engine in migraine: A multi‐center study. Headache: The Journal of Head and Face Pain 2022;62(7):870 View
  16. Ekstedt M, Kirsebom M, Lindqvist G, Kneck Å, Frykholm O, Flink M, Wannheden C. Design and Development of an eHealth Service for Collaborative Self-Management among Older Adults with Chronic Diseases: A Theory-Driven User-Centered Approach. International Journal of Environmental Research and Public Health 2021;19(1):391 View
  17. Tejera-Pérez C, Chico A, Azriel-Mira S, Lardiés-Sánchez B, Gomez-Peralta F, Jesús A, Amparo B, Virginia B, Diego B, Antonio B, Miguel B, Gloria C, Daniel C, Ana C, Ignacio C, Antonio d, María D, Alejandra D, Javier E, Carlos F, Diego F, Elena G, Custodia G, Manuel G, Fernando G, Cintia G, Miguel G, De Villar Noemí G, Noelia G, Miguel H, Sandra H, Esteban J, Beatriz L, Edurne L, De La Torre Casares Martin L, Judith L, Gema L, Amparo M, Rosa M, Francisco M, Pedro M, Sharona M, Cristóbal M, Óscar M, Manuel M, De P, José P, Pilar Q, Rebeca R, Pedro R, Gemma R, Cristina T. Connected Insulin Pens and Caps: An Expert’s Recommendation from the Area of Diabetes of the Spanish Endocrinology and Nutrition Society (SEEN). Diabetes Therapy 2023;14(7):1077 View
  18. Moreno-Fernandez J, Díaz-Soto G, Girbes J, Arroyo F. Current Perspective on the Potential Benefits of Smart Insulin Pens on Glycemic Control in Patients With Diabetes: Spanish Delphi Consensus. Journal of Diabetes Science and Technology 2023:193229682311780 View
  19. Blomqvist A, Bäck M, Klompstra L, Strömberg A, Jaarsma T. Usability and feasibility analysis of an mHealth-tool for supporting physical activity in people with heart failure. BMC Medical Informatics and Decision Making 2024;24(1) View
  20. Weeks W, Rizk R, Rowe S, Fishman E, Chu L. Unraveled: Prescriptions to Repair a Broken Health System. Journal of the American College of Radiology 2024 View
  21. Macias Alonso A, Hirt J, Woelfle T, Janiaud P, Hemkens L. Definitions of digital biomarkers: a systematic mapping of the biomedical literature. BMJ Health & Care Informatics 2024;31(1):e100914 View