About this Research Topic
We are pleased to introduce the collection "Exploring the Benefits of Digital Health Technologies in Diabetes Management".
This collection of articles delves into the use of digital health technologies in the management of diabetes, specifically focusing on self-monitoring of blood glucose (SMBG), neurocognitive functioning, continuous glucose monitoring (CGM), decision support systems, and mobile health apps (mHealth). The abstracts cover various aspects of diabetes management, including the impact of SMBG on HbA1c and psychosocial outcomes, the relationship between inhibition, behavior management, and type 1 diabetes mellitus, the potential of CGM data for predicting hypoglycemia, the efficacy and safety of digital workflow and decision support systems, and the clinical effectiveness of DM-specific mHealth apps.
The findings highlight the potential benefits of digital health technologies in improving glycemic control, self-efficacy, and treatment adherence in individuals with type 2 diabetes and type 1 diabetes. The use of SMBG, CGM, decision support systems, and mHealth apps demonstrate promising results in reducing HbA1c levels and glycemic variability, enhancing diabetes self-management, and facilitating timely interventions for hypoglycemic events.
This collection aims to further support Frontiers’ strong community by shining a spotlight on our authors' highly impactful research.
This collection of articles delves into the use of digital health technologies in the management of diabetes, specifically focusing on self-monitoring of blood glucose (SMBG), neurocognitive functioning, continuous glucose monitoring (CGM), decision support systems, and mobile health apps (mHealth). The abstracts cover various aspects of diabetes management, including the impact of SMBG on HbA1c and psychosocial outcomes, the relationship between inhibition, behavior management, and type 1 diabetes mellitus, the potential of CGM data for predicting hypoglycemia, the efficacy and safety of digital workflow and decision support systems, and the clinical effectiveness of DM-specific mHealth apps.
The findings highlight the potential benefits of digital health technologies in improving glycemic control, self-efficacy, and treatment adherence in individuals with type 2 diabetes and type 1 diabetes. The use of SMBG, CGM, decision support systems, and mHealth apps demonstrate promising results in reducing HbA1c levels and glycemic variability, enhancing diabetes self-management, and facilitating timely interventions for hypoglycemic events.
This collection aims to further support Frontiers’ strong community by shining a spotlight on our authors' highly impactful research.
Keywords: diabetes self management, diabetes management, decision support systems, mobile health apps (mHealth)
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