Improving medication adherence for chronic disease using integrated e-technologies.

Area of Science:

• Endocrinology
• Health Informatics
• Patient Adherence Research

Background:

• Diabetes mellitus (DM) is a prevalent chronic disease globally, significantly contributing to mortality.
• Poor medication adherence in DM patients is a widespread issue, negatively affecting clinical outcomes.
• Current clinical practices often fail to systematically assess patient-reported barriers to medication adherence.

Purpose of the Study:

• To develop and evaluate an electronic health record (EHR) dashboard for integrating DM disease and medication data.
• To incorporate patient-reported barriers to medication adherence into the EHR system.
• To assess the utility of integrated electronic tools in supporting patient-centered decision-making for complex DM medication regimens.

Main Methods:

• Design of an EHR-integrated dashboard to consolidate DM-related clinical and medication information.
• Exploration of processes for the routine capture of patient-reported adherence barriers.
• Evaluation of the dashboard across multiple ambulatory clinics.

Main Results:

• The dashboard integrates diverse patient data, including self-reported adherence challenges.
• Ongoing evaluation aims to determine the tool's effectiveness in clinical settings.
• Focus on supporting shared decision-making for managing complex chronic disease treatments.

Conclusions:

• Integrated EHR tools show promise for enhancing patient-centered care in chronic disease management.
• Systematic assessment of adherence barriers can be facilitated by novel technological solutions.
• Further evaluation is needed to confirm the impact on clinical decision-making and patient outcomes.