The authors concluded that apps did not include education structural elements from the empowerment of patients other than including functionalities for routine management (record of lifestyle and measurements). The evaluation of features was analyzed for 6 types of functionalities: (1) self-monitoring, (2) education, (3) alerts, (4) reminders, (5) social media, and (6) personal health records synchronization. In their review from 2011, Chomutare et al compared the recommendations from evidence-based guidelines and the features of mobile apps. This type of care has shown limited effects on empowering patients to control blood sugar levels. ĭespite the promise of mobile health (mHealth) in the specific field of diabetes and the explosion of diabetes-related apps in markets, T1DM management is yet undertaken on a routine care basis, in which glycemic levels (blood glucose and hemoglobin A 1c (HbA 1c) among others) and other health-related outcomes are supervised by general practitioners, endocrinologists, and nurses. Supporting T1DM patients is a major health care challenge, as it involves many aspects of daily routine activities (eg, food intake, physical activity, motivation) and specific knowledge of disease mechanisms (eg, blood glucose regulation, insulin intake). Type 1 diabetes mellitus (T1DM) prevalence is rapidly rising throughout the world. First quartile apps had a regular distribution of the ten features in the taxonomy whereas the other 3 quartiles had an irregular distribution.ĭiabetes mellitus is a metabolic syndrome, which comprises an impaired insulin production and action. Apps were classified according to the number of level 1 features and sorted into quartiles. The operating system was not associated with the number of features ( P=.42, F=.81) nor the type of feature ( P=.20, χ 2=11.7). Personalization (70/80, 87.5%) and Data record (64/80, 80.0%) were the 2 top prevalent features, whereas Agenda (5/80, 6.3%) and Rewards (3/80, 3.8%) where the less predominant. None of the assessed apps fulfilled the features of the taxonomy of an ideal app. Eighty apps matching the inclusion criteria were analyzed. Level 1 includes 10 general features (Personalization, Family support, Agenda, Data record, Insulin bolus calculator, Data management, Interaction, Tips and support, Reminders, and Rewards) Level 2 and Level 3 included features providing a descriptive detail of Level 1 features. A taxonomy featuring 3 levels of characteristics was designed based on 5 papers which were selected for the synthesis. The literature search resulted in 231 matches.
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