scholarly journals Real-World Assessments of mySugr Mobile Health App

2019 ◽  
Vol 21 (S2) ◽  
pp. S2-35-S2-40 ◽  
Author(s):  
Fredrick Debong ◽  
Harald Mayer ◽  
Johanna Kober
Keyword(s):  
2020 ◽  
Vol 27 (6) ◽  
pp. 976-980
Author(s):  
Madison Milne-Ives ◽  
Michelle Helena van Velthoven ◽  
Edward Meinert

Abstract The use of real-world evidence for health care research and evaluation is growing. Mobile health apps have often-overlooked potential to contribute valuable real-world data that are not captured by other sources and could provide data that are more cost-effective and generalizable than can randomized controlled trials. However, there are several challenges that must be overcome to realize the potential value of patient-used mobile health app real-world data, including data quality, motivation for long-term use, privacy and security, methods of analysis, and standardization and integration. Addressing these challenges will increase the value of data from mobile health apps to inform real-world evidence and improve patient empowerment, clinical management, disease research, and treatment development.


Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 645-P
Author(s):  
ULRIK BODHOLDT ◽  
SOPHIE BIROT ◽  
ANDREI-MIRCEA CATARIG ◽  
UMUT ERHAN ◽  
FILIP K. KNOP

PLoS ONE ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. e0215468 ◽  
Author(s):  
Jill Waalen ◽  
Melissa Peters ◽  
Daya Ranamukhaarachchi ◽  
Jenny Li ◽  
Gail Ebner ◽  
...  

2020 ◽  
Author(s):  
Anna-Katharina Böhm ◽  
Morten Lind Jensen ◽  
Mads Reinholdt Sørensen ◽  
Tom Stargardt

BACKGROUND Patient support apps have risen in popularity and provide novel opportunities for self-management of diabetes. Such apps offer patients to play an active role in monitoring their condition, thereby increasing their own treatment responsibility. Although many health apps require active user engagement to be effective, there is little evidence exploring engagement with mobile health (mHealth). OBJECTIVE This study aims to analyze the extent to which users engage with mHealth for diabetes and identify patient characteristics that are associated with engagement. METHODS The analysis is based on real-world data obtained by Novo Nordisk’s Cornerstones4Care Powered by Glooko diabetes support app. User engagement was assessed as the number of active days and using measures expressing the persistence, longevity, and regularity of interaction within the first 180 days of use. Beta regressions were estimated to assess the associations between user characteristics and engagement outcomes for each module of the app. RESULTS A total of 9051 individuals initiated use after registration and could be observed for 180 days. Among these, 55.39% (5013/9051) used the app for one specific purpose. The average user activity ratio varied from 0.05 (medication and food) to 0.55 (continuous glucose monitoring), depending on the module of the app. Average user engagement was lower if modules required manual data entries, although the initial uptake was higher for these modules. Regression analyses further revealed that although more women used the app (2075/3649, 56.86%), they engaged significantly less with it. Older people and users who were recently diagnosed tended to use the app more actively. CONCLUSIONS Strategies to increase or sustain the use of apps and availability of health data may target the mode of data collection and content design and should take into account privacy concerns of the users at the same time. Users’ engagement was determined by various user characteristics, indicating that particular patient groups should be targeted or assisted when integrating apps into the self-management of their disease.


2019 ◽  
Vol 22 ◽  
pp. S591-S592
Author(s):  
A. Booth ◽  
S. Pan ◽  
A. Cox ◽  
E. Merinopoulou ◽  
M. Oguz ◽  
...  

2018 ◽  
Vol 120 (4) ◽  
pp. 395-400.e1 ◽  
Author(s):  
David R. Stukus ◽  
Nabeel Farooqui ◽  
Kasey Strothman ◽  
Kelsey Ryan ◽  
Songzhu Zhao ◽  
...  

2018 ◽  
Author(s):  
Xiaojian Ji ◽  
Yiwen Wang ◽  
Yingpei Ma ◽  
Zhengyuan Hu ◽  
Siliang Man ◽  
...  

BACKGROUND Ankylosing spondylitis (AS) is a chronic disease that mainly affects the axial skeleton, leading to decreased mobility, function, and quality of life. With the advent of mobile health (mHealth) technologies, it is now possible to create more economical, sustainable, and user-friendly communication and health monitoring systems to improve the effectiveness of patient care and to gather real-world clinical data for clinical research. OBJECTIVE To introduce “smart-phone Spondyloarthritis Management System” (SpAMS), an interactive mobile health (mHealth) tool, specifically designed for longitudinal disease management and prospective ankylosing spondylitis (AS)/spondyloarthritis (SpA) and to evaluate the clinical profile of Chinese (AS) patients. METHODS SpAMS integrates the patient’s portal and the physician’s portal in a cell phone application. By using SpAMS, Chinese Ankylosing Spondylitis Prospective Imaging Cohort (CASPIC) was launched from April 2016. All patients fulfilled the 1984 modified New York criteria. Patient self-assessments were completed online at baseline and at every subsequent clinic visit. Physician-reported assessments and treatment regimens were recorded by rheumatologists during each visit. RESULTS In total, 1201 AS patients [mean (SD) age, 30.6 (8.7) years; male, 82.6%] were recruited. The mean (SD) disease duration was 8.4 (6.1) years. A history or current symptoms suggestive of acute anterior uveitis (AAU), psoriasis, and inflammatory bowel disease (IBD) were observed in 21.0%, 3.7%, and 9.4% of the patients, respectively. AAU and IBD were found significantly more in patients with a symptom duration > 10 years (31.1%, 12.5%, respectively). At the baseline visit, the most commonly used medications were non-steroidal anti-inflammatory drugs (NSAIDs) (98.2%). Patients using tumor necrosis factor inhibitors (TNFi) accounted for 20.8% of enrolled patients. Additionally, 66.4% of patients used conventional synthetic disease-modifying anti-rheumatic drugs (DMARDs). At baseline, the percentage of patients with inactive disease (ID)/low disease activity (LDA) was 57.2%, and this value improved significantly to 79.2% after a mean follow-up of 13.3 (5.9) months. Compared with relapsed patients, new achievers of ID/LDA underwent more online patient assessments (P < .001). By solving problems in SpAMS, 29.1% of clinic visits were unnecessary and therefore time had been saved. At least an average of 5.3 hours and 327.4 RMB per person spent on traffic was saved through SpAMS. The saved traffic expenses were equal to 16% of the Chinese monthly disposable personal income. CONCLUSIONS SpAMS is a time- and cost-saving disease management tool, helping AS patients perform self-management and providing valuable data to clinicians. This is the first nationwide real-world study of AS patients in China who use mHealth technology, and our results contribute significantly to characterizing the clinical profiles of Chinese patients with AS.


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