Closing Care Gaps in Diabetes Management Through Advanced Data Integration with Continuous Glucose Monitors : Episode 18

Obstacles in Adapting Diabetes Technology to Individual Needs

June 6, 2024

Opinion

Video

A diabetes expert investigates the personal factors impacting patients' adoption of diabetes devices and technologies, while concurrently exploring specific plan policies, wellness initiatives, and benefit designs that could most effectively and equitably enhance diabetes outcomes across diverse demographic groups.

EP: 1.Diabetes Prevention and Reducing Disparities Across Populations

EP: 2.Challenges in Treating High-Risk Patients With Diabetes

EP: 3.Identifying Inequities in CGM Access

EP: 4.Integrating CGMs into Diabetes Treatment Programs

EP: 5.Allocation of Investment and Value-Based Arrangements in Diabetes Care

EP: 6.Key Takeaways and Unmet Needs in Diabetes Treatment

EP: 7.Gaps in Diabetes Education and Self Efficacy

EP: 8.Demographic Differences That Impact Care

EP: 9.Embracing and Improving Access to Technology Tools

EP: 10.Managing Self Care

EP: 11.Revising Diabetes Outcome Measures

EP: 12.Failing to Reach Ideal Diabetes Care: Equitable Doesn’t Mean Equal

EP: 13.Closing care gaps in diabetes management through advanced data integration with continuous glucose monitors

EP: 14.The Influence of Social Determinants of Health on Diabetes Care and Outcomes

EP: 15.Addressing Coexisting Conditions: Keys to Comprehensive Diabetes Care

EP: 16.The Pivotal Role of Patient Engagement and Education in Achieving Optimal Diabetes Outcomes

EP: 17.The Impact of Continuous Glucose Monitors & Digital Solutions on Diabetes Care

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EP: 18.Obstacles in Adapting Diabetes Technology to Individual Needs

Beyond clinical appropriateness, what personal factors (e.g., technological literacy, financial concerns) might impact members' adoption of diabetes devices or technologies?
What specific plan policies, wellness initiatives, or benefit design changes do you think could most effectively and equitably improve diabetes outcomes across different demographic groups within your covered population?

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