Improving diabetes care for young people with type 1 diabetes through visual learning on mobile phones: Mixed-methods study
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Froisland, D., et al (2012)(1010. Froisland D, Arsand E, Skarderud, F. Improving diabetes care for young people with type 1 diabetes through visual learning on mobile phones: Mixed-methods study. J Med Internet Res. 2012; 14(4):e111.) Norway |
Quasi-experimental study Level III |
Participants reported greater understanding of diabetes selfcare after using the Diamob application. |
Design of an mHealth app for the self-management of adolescent type 1 diabetes: A pilot study
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Cafazzo, J., et al (2012)(1111. Mulvaney SA, Anders S, Smith AK, Pittel EJ, Johnson KB. A pilot test of a tailored mobile and web-based diabetes messaging system for adolescents. J Telemed Telecare. 2012; 18(2):115-8.) Canada |
Quasi-experimental study Level III |
Using in-app incentives was associated with improved frequency of glycemic monitoring. |
Using mobile phones to measure adolescent diabetes adherence
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Mulvaney SA., et al. (2012)(1212. Lyons EJ, Hatkevich C. Prevalence of behavior changing strategies in fitness video games: theory-based content analysis. J Med Internet Res. 2013; 15(5):e81.) USA |
Quasi-experimental study Level III |
Mobile applications offer a viable method for glycemic monitoring and insulin administration in adolescents. |
A pilot test of a tailored mobile and web-based diabetes messaging system for adolescents.
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Mulvaney SA., et al. (2012)(1313. Årsand E, Muzny M, Bradway M, Muzik J, Hartvigsen G. Performance of the First Combined Smartwatch and Smartphone Diabetes Diary Application Study. J Diabetes Sci Technol. 2015; 9(3): 556-63.) USA |
Quasi-experimental study Level III |
The study results demonstrate the viability of the SuperEgo application in hyperglycemia treatment. |
Preparing Adolescents With Chronic Disease for Transition to Adult Care: A Technology Program.
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Huang JS., et al (2014)(1414. Baskaran V, Prescod F, Dong L. A Smartphone-based cloud computing tool for managing type 1 diabetes in Ontarians. Can J Diabetes. 2015; 39 (3):200-3.) USA |
Individual study with experimental design Level II |
Mentions several recommendations on the use of glycemic monitoring and health education resources in the MD2Me application. |
Can smartphone-based logging support diabetologists in solving glycemic control problems?
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Tiefengrabner M., et al (2014)(1515. Conway N, Campbell I, Forbes P, Cunningham S, Wake D. mHealth applications for diabetes: User preference and implications for app development. Health Informatics J. 2016; 22(4): 1111-20.) Austria |
Quasi-experimental study Level III |
The application offered the basis for recommendations that can improve participants’ glycemic control. |
Integrating visual dietary documentation in mobile- phone-based self-management application for adolescents with type 1 diabetes.
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Frøisland DH., et al (2015)(1616. Huang JS, Terrones L, Tompane T, Dillon L, Pian M, Gottschalk M, et al. Preparing Adolescents With Chronic Disease for Transition to Adult Care: A Technology Program. Pediatrics. 2014; 133(6): e1639-e1646.) Norway |
Quasi-experimental study Level III |
The study conclusion is that implementing the Diamob application helps adolescents to understand the basics of diabetes. |
Performance of the first combined smartwatch and smartphone diabetes diary application study.
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Årsand E., et al (2015)(1717. Mulvaney SA, Rothman RL, Dietrich MS, Wallston KA, Grove E, Elasy TA, et al. Using mobile phones to measure adolescent diabetes adherence. Health Psychol. 2012; 31(1):43-50.) Norway |
Descriptive study Level III |
The study demonstrated the My Diabetes application provides easy ways to monitor blood glucose, physical activity, and healthy eating information. |
mHealth applications for diabetes: User preference and implications for app development.
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Conway N., et al (2015) (1818. Grossi LM, Pisa IT, Marin HF. Oncoaudit: desenvolvimento e avaliação de aplicativo para enfermeiros auditores. Acta Paul Enferm. 2014; 27(2):179-85.) United Kingdom |
Descriptive study Level IV |
The study demonstrated most participants would like to use an application to help with self-care management. |
Technology Use for Diabetes Problem Solving in Adolescents with Type 1 Diabetes: Relationship to Glycemic Control.
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Kumah-Crystal YA., et al (2015)(55. Kumah-Crystal YA, Hood KK, Ho YX, Lybarger CK, O'Connor BH, Rothman RL, et al. Technology use for diabetes problem solving in adolescents with type 1 diabetes: relationship to glycemic control. Diabetes Technol Ther. 2015; 17(7): 449-54.) USA |
Quasi-experimental study Level III |
The study addresses important issues of using technology for problem solving in diabetes and self-management. |
A Smartphone-Based Cloud Computing Tool for Managing Type 1 Diabetes in Ontarians.
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Baskaran V, et al (2015)(1919. Pagoto S, Schneider K, Jojic M, DeBiasse M, Mann D. Evidence-Based Strategies in Weight-Loss Mobile Apps. Am J Prevent Med. 2013; 45 (5):576-82.) Canada |
Expert opinion Level VI |
The study points the way to the successful implementation of a type 1 diabetes mellitus application involving minimal investment. |
Welltang - A smart phone-based diabetes management application - Improves blood glucose control in Chinese people with diabetes
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Zhou W., (2016)(66. Zhou W, Chen M, Yuan J, Sun Y. Welltang - A smart phone-based diabetes management application - Improves blood glucose control in Chinese people with diabetes. Diabetes Res Clin Pract. 2016; 116:105-10.) China |
Randomized controlled clinical study Level I |
The application has messages encouraging users to initiate and/or maintain self-care behaviors, support their treatment plans, and improve their quality of life. |