Automatic messaging for improving patients engagement in diabetes management: an exploratory study

Area of Science:

• Digital health
• Medical informatics
• Chronic disease management

Background:

• Mobile health (m-health) systems offer potential for cost-effective chronic disease self-management.
• Improving patient adherence and promoting healthy lifestyles are key challenges in diabetes care.

Purpose of the Study:

• To present a strategy for m-health applications in diabetes self-management using automated feedback.
• To design, develop, and test an m-health adherence system for diabetes patients.

Main Methods:

• Developed a feedback assistant for dynamic, automated text message generation based on clinical guidelines and patient lifestyle.
• Conducted a small-scale exploratory study with Type 1 Diabetes Mellitus (T1DM) and Type 2 Diabetes Mellitus (T2DM) patients.
• Monitored system usage and adherence to prescriptions over a 4-week period.

Main Results:

• The m-health system demonstrated feasibility and good patient acceptance.
• System usage and adherence to medical prescriptions increased during the study period.
• Exploratory findings suggest a positive impact on diabetes self-management.

Conclusions:

• The proposed m-health strategy based on automated feedback is a feasible approach for diabetes self-management.
• Further extensive research is required to confirm the benefits and clinical utility of the system.
• The system shows promise in enhancing patient empowerment and lifestyle adoption.