Smartphone-Based mHealth and Internet of Things for Diabetes Control and Self-Management

Abstract

In patients with chronic diseases condition, mobile health monitoring facility proves to play a significant role in providing significant assistance toward personal management. This research examined the use of smartphones by diabetes patients and their intentions to apply them for self-care and monitoring as well as management. This cross-sectional survey-based study was conducted in Jul-Aug 2021 with 200 diabetic patients (especially type 2) who were visiting specialized clinics and hospitals of Gujrat state, India. A validated questionnaire survey was designed to collect data, which included questions about demographics, information pertaining to other, use of cellphones, the Internet, and the intention to implement smartphones for diabetes monitoring, self-care, and self-management. A highest number of studied participants have mobile phone (97.5%) and smartphones (87%) and access the Internet on daily basis (83.5%). Younger participants were more inclined to use smartphone apps and have also shown more interest for continuous use in the future ( p < 0.01 ). The majority of participants used apps for nutritional planning (85.5%), to monitor glucose control (76.5%), and for scheduling of diabetes appointments on the calendar (90.5%). Recommendations to use mobile app by doctors or healthcare profession were reported by 20.5% of the participants and attitude and future intention to use mobile apps were reported by the majority of participants. The majority of type 2 diabetes patients choose to use their cellphones and the internet or mobile phone reminder system for medication as well as to plan their diets, monitor their blood sugar levels, and communicate with their doctors. The findings of this research can be used to develop strategies and implement mHealth-based therapies to assist patients with type 2 diabetes to efficiently manage their health and might contribute to reducing patients’ out-of-pocket expenditure as well as reducing disability-adjusted life years (DAILY) attributed by DM.

Influence of Information-Based Continuous Care on Disease Control and Treatment Compliance of Elderly Diabetic Patients

“…In addition, we also arranged aerobic exercise at least once every two days. In the report of Mehbodniya et al [ 21 ], it was suggested that aerobic exercise could affect patients' lipid metabolism, which in turn effectively reduced patients' TC and TG levels, similar to our findings. Later, we evaluated patients' performance in terms of treatment compliance.…”

Factors affecting the willingness of patients with type 2 diabetes to use digital disease management applications: a cross-sectional study

“…According to the study, the inclination of individuals with T2DM toward utilizing DDMAs is moderately to highly favorable, with scores exceeding 3 (out of 5) for each of the dimensions related to willingness to use, analogous to the discoveries of Mehbodniya ( 12 ) and Rangraz ( 18 ). Moreover, the study comprised 40% of the total population aged 60 years and above, who have a moderate to high intention to use DDMAs, consistent with the research conducted by Jaana M ( 33 ).…”

Structured educational app in improving self-care management in diabetes mellitus patients: systematic review

“…According to the findings of Mehbodniya et al study, this technological approach can be used as a public health benchmark to improve the quality of life of type 2 diabetes mellitus patients. Similarly, Wang et al research shows that mobile health smartphone applications support effective self-care management programs in improving patients' quality of life and self-care management behaviour [11]. According to the findings of Kumar et al study's, this technological approach can be used as a public health benchmark to improve the quality of life of type 2 diabetes mellitus patients.…”

“…The technological approach can be used as a public health benchmark to improve the quality of life of type 2 diabetes mellitus patients [11]. According to the findings of Mehbodniya et al study, this technological approach can be used as a public health benchmark to improve the quality of life of type 2 diabetes mellitus patients.…”