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2020 Abstracts

Analysis of the mobile app for timely self-management treatment of Type 2 Diabetes

Mark Langeveld (University of Utah)

Faculty Advisor: Langeveld, Mark (University of Utah, Engineering)

Introduction:

The risk of getting type 2 diabetes has been widely found to be associated with lower socioeconomic position across countries. Not only the financial burden but also the clinicians often having the long waitlists for one-on-one assessment of chronic disease patient's behavior makes it difficult for timely treatment and monitoring supplies. Among the top 10 diseases that are causes of death, Diabetes is the most self-manageable chronic disease. Type 2 diabetes patients often require insulin therapy as well as self-managing on eating well and exercising. A mobile app can be applied as a self-managing mechanism that treats chronic complications of diabetes. I will describe my work to analyze five commercially available mobile apps that are effective in improving diabetes-related outcomes.

Method:

I analyzed with technology reviews of iterative mobile app design of each mobile app(Glucose Buddy, Diabetes care4Life, Diabetes Diary, BlueStar Diabetes, Gather Health) and reviewing comments from peer and public review. I organized the findings by test process with diabetes patients through three categories for this report: 1. App features (on which platform that the app is available, what the app does, cost, etc.) 2. App usability and quality of tracking presented as an average of three scores given by the University of Utah healthcare researchers 3. Summary of the evidence from the evaluation of each category of patients who are motivated and who were not: monitoring glycemic control, glucose control, blood pressure, HbA1c improvement, weight, and diabetes treatment satisfaction

Result:

The record comprised 30 patients, of which 10 completed the mobile app module for 6 weeks. Demographics were similar for users and nonusers. Of the application users, the behavior improvement of pre-test and posttest scores were better for users compared with non-users (+1.8%). Of the users, 92% reported that the application had significant improvement (p < 0.05) in an outcome compared with HbA1c and glycemic control. The usability score of each app evaluated by healthcare researchers was (Glucose Buddy: 72.3 (out of 100), Diabetes care4Life: 45, Diabetes Diary: 16, BlueStar Diabetes: 85, Gather Health: 60) Without additional support from a health care provider, 5 mobile apps demonstrated an improvement in fasting blood glucose, 2-hour post-breakfast blood glucose, diabetes knowledge, and self-care behaviors compared with controls.

Conclusion:

I have analyzed and created a prototype of a mobile app that fills the gap between efficacy, cost, and features from the limited statistical evidence. Patients were satisfied with the use of the mobile health app for Diabetes, and the use of the program significantly improved their behavior and knowledge retention. Tailoring the traceable evaluation of mobile app to patient preferences and needs and updating the tools could empower and guide the patients to effective mobile apps in improving diabetes outcomes.