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Journal Abstract Search
261 related items for PubMed ID: 20307393
1. Mobile phone-based self-management tools for type 2 diabetes: the few touch application. Arsand E, Tatara N, Østengen G, Hartvigsen G. J Diabetes Sci Technol; 2010 Mar 01; 4(2):328-36. PubMed ID: 20307393 [Abstract] [Full Text] [Related]
2. Mobile health applications to assist patients with diabetes: lessons learned and design implications. Årsand E, Frøisland DH, Skrøvseth SO, Chomutare T, Tatara N, Hartvigsen G, Tufano JT. J Diabetes Sci Technol; 2012 Sep 01; 6(5):1197-206. PubMed ID: 23063047 [Abstract] [Full Text] [Related]
3. Improving diabetes care for young people with type 1 diabetes through visual learning on mobile phones: mixed-methods study. Frøisland DH, Arsand E, Skårderud F. J Med Internet Res; 2012 Aug 06; 14(4):e111. PubMed ID: 22868871 [Abstract] [Full Text] [Related]
4. Functionalities and input methods for recording food intake: a systematic review. Rusin M, Arsand E, Hartvigsen G. Int J Med Inform; 2013 Aug 06; 82(8):653-64. PubMed ID: 23415822 [Abstract] [Full Text] [Related]
5. Mobile phone-based pattern recognition and data analysis for patients with type 1 diabetes. Skrøvseth SO, Årsand E, Godtliebsen F, Hartvigsen G. Diabetes Technol Ther; 2012 Dec 06; 14(12):1098-104. PubMed ID: 23035775 [Abstract] [Full Text] [Related]
6. Mobile phone intervention for increasing adherence to treatment for type 2 diabetes in an urban area of Bangladesh: protocol for a randomized controlled trial. Islam SM, Lechner A, Ferrari U, Froeschl G, Alam DS, Holle R, Seissler J, Niessen LW. BMC Health Serv Res; 2014 Nov 26; 14():586. PubMed ID: 25424425 [Abstract] [Full Text] [Related]
7. Long-term engagement with a mobile self-management system for people with type 2 diabetes. Tatara N, Arsand E, Skrøvseth SO, Hartvigsen G. JMIR Mhealth Uhealth; 2013 Mar 27; 1(1):e1. PubMed ID: 25100649 [Abstract] [Full Text] [Related]
8. Mobile therapy: case study evaluations of a cell phone application for emotional self-awareness. Morris ME, Kathawala Q, Leen TK, Gorenstein EE, Guilak F, Labhard M, Deleeuw W. J Med Internet Res; 2010 Apr 30; 12(2):e10. PubMed ID: 20439251 [Abstract] [Full Text] [Related]
9. Mobile Phone-Based Telemedicine Practice in Older Chinese Patients with Type 2 Diabetes Mellitus: Randomized Controlled Trial. Sun C, Sun L, Xi S, Zhang H, Wang H, Feng Y, Deng Y, Wang H, Xiao X, Wang G, Gao Y, Wang G. JMIR Mhealth Uhealth; 2019 Jan 04; 7(1):e10664. PubMed ID: 30609983 [Abstract] [Full Text] [Related]
10. A Mobile Health Intervention for Self-Management and Lifestyle Change for Persons With Type 2 Diabetes, Part 2: One-Year Results From the Norwegian Randomized Controlled Trial RENEWING HEALTH. Holmen H, Torbjørnsen A, Wahl AK, Jenum AK, Småstuen MC, Arsand E, Ribu L. JMIR Mhealth Uhealth; 2014 Dec 11; 2(4):e57. PubMed ID: 25499872 [Abstract] [Full Text] [Related]
11. Performance of the first combined smartwatch and smartphone diabetes diary application study. Årsand E, Muzny M, Bradway M, Muzik J, Hartvigsen G. J Diabetes Sci Technol; 2015 May 11; 9(3):556-63. PubMed ID: 25591859 [Abstract] [Full Text] [Related]
12. Users' preferences and design recommendations to promote engagements with mobile apps for diabetes self-management: Multi-national perspectives. Adu MD, Malabu UH, Malau-Aduli AEO, Malau-Aduli BS. PLoS One; 2018 May 11; 13(12):e0208942. PubMed ID: 30532235 [Abstract] [Full Text] [Related]
13. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes. Woldaregay AZ, Årsand E, Walderhaug S, Albers D, Mamykina L, Botsis T, Hartvigsen G. Artif Intell Med; 2019 Jul 11; 98():109-134. PubMed ID: 31383477 [Abstract] [Full Text] [Related]
14. Effect of a Mobile Phone-Based Glucose-Monitoring and Feedback System for Type 2 Diabetes Management in Multiple Primary Care Clinic Settings: Cluster Randomized Controlled Trial. Yang Y, Lee EY, Kim HS, Lee SH, Yoon KH, Cho JH. JMIR Mhealth Uhealth; 2020 Feb 26; 8(2):e16266. PubMed ID: 32130172 [Abstract] [Full Text] [Related]
15. The development of My Care Hub Mobile-Phone App to Support Self-Management in Australians with Type 1 or Type 2 Diabetes. Adu MD, Malabu UH, Malau-Aduli AEO, Malau-Aduli BS. Sci Rep; 2020 Jan 08; 10(1):7. PubMed ID: 31913296 [Abstract] [Full Text] [Related]
16. User Engagement Among Diverse Adults in a 12-Month Text Message-Delivered Diabetes Support Intervention: Results from a Randomized Controlled Trial. Nelson LA, Spieker A, Greevy R, LeStourgeon LM, Wallston KA, Mayberry LS. JMIR Mhealth Uhealth; 2020 Jul 21; 8(7):e17534. PubMed ID: 32706738 [Abstract] [Full Text] [Related]
17. Adaptive intervention design in mobile health: Intervention design and development in the Cell Phone Intervention for You trial. Lin PH, Intille S, Bennett G, Bosworth HB, Corsino L, Voils C, Grambow S, Lazenka T, Batch BC, Tyson C, Svetkey LP. Clin Trials; 2015 Dec 21; 12(6):634-45. PubMed ID: 26229119 [Abstract] [Full Text] [Related]
18. A usability study of a mobile health application for rural Ghanaian midwives. Vélez O, Okyere PB, Kanter AS, Bakken S. J Midwifery Womens Health; 2014 Dec 21; 59(2):184-91. PubMed ID: 24400748 [Abstract] [Full Text] [Related]
19. Computerized Automated Reminder Diabetes System (CARDS): e-mail and SMS cell phone text messaging reminders to support diabetes management. Hanauer DA, Wentzell K, Laffel N, Laffel LM. Diabetes Technol Ther; 2009 Feb 21; 11(2):99-106. PubMed ID: 19848576 [Abstract] [Full Text] [Related]
20. Usage and perceptions of a mobile self-management application for people with type 2 diabetes: qualitative study of a five-month trial. Tatara N, Årsand E, Bratteteig T, Hartvigsen G. Stud Health Technol Inform; 2013 Feb 21; 192():127-31. PubMed ID: 23920529 [Abstract] [Full Text] [Related] Page: [Next] [New Search]