A care team-based classification and population management schema for connected diabetes care

Area of Science:

• Digital Health
• Chronic Disease Management
• Health Informatics

Background:

• The US faces a significant epidemic of diabetes and other chronic diseases.
• Technological advancements have led to a surge in virtual diabetes management programs.
• These programs utilize smartphone technology, connected devices, and remote support.

Purpose of the Study:

• To introduce a care team-based classification system for connected diabetes care programs.
• To analyze the strengths and limitations of different connected diabetes care models.
• To provide a framework for deploying these programs within health systems.

Main Methods:

• Development of a novel classification system for connected diabetes care programs based on care team structure.
• Qualitative analysis of program features, strengths, and limitations.
• Framework development for health system integration.

Main Results:

• Identified distinct classes of connected diabetes care programs.
• Highlighted varying strengths and limitations associated with each program class.
• Proposed a deployment framework for health systems.

Conclusions:

• Connected diabetes care programs offer diverse models for managing the diabetes epidemic.
• A structured approach to classifying and deploying these programs is essential for effective population health management.
• Further research is needed to optimize the integration of telehealth in chronic disease care.