Browsing by Subject "Mobile Health"
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Item Diabetes Mobile App Usability for Adult Patients with Diabetes(2018-05) Fu, HelenMore than 1,100 diabetes apps are available, but are infrequently used. A systematic review identified unsatisfactory diabetes app usability and its clinical effect to lower hemoglobin A1c level (0.15% to 1.9%), with variations in interactive app features for real-time feedback through automatic data analysis, clinician text messages, reminder alerts, or an app-initiated phone call. This result identified the need for health behavior theory applications to guide diabetes app usability evaluation. This study applied the Self-Determination Theory on human motivation to select app testing functions and to understand adult patient perspectives to use apps. A total of 92 adults with diabetes type 1 or 2 participated in a randomized crossover trial to test the usability of two top-rated Android diabetes apps (mySugr and OnTrack). Multivariable linear regression models assessed the effects of patient characteristics (i.e., age, education, and diabetes) and psychological needs on user satisfaction and user performance. Psychological needs important for motivation and behavioral change were associated with diabetes app usability. Higher user satisfaction was observed for participants who reported competence, autonomy, or connectivity with a healthcare provider. To enhance motivation to use apps for self-management, clinicians should consider addressing the patient’s competence, autonomy, and connectivity. User performance was associated with patient characteristics of age, sex, education, and diabetes duration because they affect the patient’s ability to use apps efficiently, successfully, and accurately. App training and ongoing technical support should be tailored for older adults, men, patients with less education, and those with diabetes duration more than 10 years.Item Picturing Patterns in Whole-Person Health: Leveraging Visualization Techniques with Structured Consumer-Generated mHealth Data(2018-12) Austin, RobinCardiovascular disease (CVD) is a leading cause of death in women. In cardiac care-management, women have experienced being seen “as the disease” rather than as a whole person. Current methods are lacking to better understand a whole person perspective to include strengths, challenges, and needs. Health information technology (HIT) holds promise for capturing data that represents the whole-person perspective. A literature review identified that women with cardiovascular disease have strengths and would like their strengths used as part of managing care. A consumer-facing application, MyStrengths+MyHealth app, was developed to enable self-report of strengths, challenges, and needs using a consumer-facing version of the Omaha System, a multi-disciplinary standardized health terminology. The Omaha System problem concept, Circulation, was used as a surrogate for women with cardiovascular disease. Participants (N=604) used the MSMH app at Midwestern state fair and women with Circulation signs/symptoms (n=80) were matched to an equal number of women without Circulation signs/symptoms. Data generated by participants were analyzed using descriptive statistics and data visualizations techniques to evaluate and compare standardized strengths, challenges, and needs for women with Circulation signs/symptoms. This study revealed women with Circulation signs/symptoms had more strengths, challenges, and needs compared to women without Circulation signs/symptoms. Data visualizations techniques detected differing patterns in the data for women with and without Circulation signs/ symptoms. Future research is needed to validate these findings and extend this research to other populations and programs. This research creates a foundation for what is possible using data visualizations to enhance understanding of consumer-generated health data.