Technology-Enabled Diabetes Self-Management Education & Support

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Presentation transcript:

Technology-Enabled Diabetes Self-Management Education & Support Malinda Peeples, MS, RN, CDE, FAADE1,2, Deborah Greenwood, PhD, RN, BC-ADM, CDE, FAADE3,2, Perry M Gee, PhD, RN4, 1WellDoc, Inc. Baltimore, MD, 2American Association Diabetes Educators, Chicago, IL, 3Mytonomy, Inc. Bethesda, MD, 4Dignity Health, Phoenix, AZ Introduction Results AADE TECHNOLOGY FRAMEWORK TECHNOLOGY-ENABLED SELF-MANAGEMENT FEEDBACK LOOP (TES) There are approximately 30,000 diabetes educators in the United States.  The American Association of Diabetes Educators (AADE) is the leading organization supporting both educators and people with diabetes.  In 2016, in recognition of the inadequate reach of diabetes self-management education and support (DSMES) services, continued poor national outcomes in achieving an A1C (average blood glucose over 2-3 months) of less than 7% (ADA goal) and a disproportionate number of people living with diabetes compared to the number of diabetes educators, the AADE convened a technology workgroup to address these issues. The workgroup was composed of technology-engaged educators, people with diabetes, practice and technology providers and was charged with exploring the current technology landscape for diabetes self-management education and ongoing support. © Based on Architecture for Integrated Mobility Framework (AIM) Methods This infographic identifies the technology domains beyond diabetes devices that are integral to educators interacting with patients and the health care environment. This includes consumer devices, apps, digital health, social media, and telemedicine platforms as well as services. Technology-enabled diabetes self-management solutions significantly improve A1c. The most effective interventions incorporated all the components of a technology-enabled self-management feedback loop that 1) connects people with diabetes and their health care team using 2-way communication, 2) analyzes patient-generated health data, and provides 3) tailored education, and 4) individualized feedback. Most studies described healthy eating, being active, monitoring  glucose, and medication taking as the primary self-care behaviors included in the interventions.   The AADE Technology Workgroup systematically evaluated the diabetes landscape from the perspective of educators, people with diabetes, and the association. The group assessed the impact that consumer and healthcare technologies were having on the practice of diabetes self-management education, care, and ongoing support. Diabetes care devices, healthcare technology services, the internet of things (IoT), and the regulatory, security, and privacy areas of concern were considered. SYSTEMATIC REVIEW OF REVIEWS OF TECHNOLOGY-ENABLED DIABETES EDUCATION & SUPPORT Conclusions Additionally, the group conducted a literature review to determine the state of evidence for technology-enabled diabetes self-management education and support. A systematic review of high quality reviews and meta analysis was conducted.  Papers were included if published between January 2013 and January 2017. Twenty-five of the 265 papers evaluated were included for analysis. The majority evaluated the use of mobile phones and secure messaging. The studies were also evaluated for how they addressed the AADE7 Self- Care Behaviors™. The AADE Technology Framework provides a strategic view for the association to advance the inclusion of all aspects of technology-enabled education, care, and support in advancing the practice and role of education in prevention and management of chronic disease. The TES framework demonstrates the critical components that are essential for the design and evaluation of digital tools that impact outcomes . References Greenwood, D., Gee, P., Fatkin, K., & Peeples, M. 2017 A Systematic Review of Reviews Evaluating Technology Enabled Diabetes Self-Management Education and Support. JDST. e-published May 31 Macleod, J., Peeples, M. Are you an eEducator? AADE in Practice Sep 2017, 31-35. Peeples MM, Iyer AK, Cohen JL. Integration of a mobile-integrated therapy with electronic health records: lessons learned. J Diabetes Sci Technol. 2013 May 1;7(3):602-11.. Eighteen of 25 reviews reported significant reduction in A1c as an outcome measure.  Four key elements emerged as essential for improved A1c. Diabetes Technology Meeting, Bethesda, MD | Nov 2-4,2017