George Grunberger1, Jennifer Sherr2, Myriam Allende3, Thomas Blevins4, Bruce Bode5, Yehuda Handelsman6, Richard Hellman7, Rosemarie Lajara8, Victor Lawrence Roberts9, David Rodbard10, Carla Stec11, Jeff Unger12. 1. Grunberger Diabetes Institute, Bloomfield Hills, Michigan. 2. Yale University School of Medicine, New Haven, Connecticut. 3. University of Puerto Rico School of Medicine, San Juan, Puerto Rico. 4. Texas Diabetes and Endocrinology, Austin, Texas. 5. Atlanta Diabetes Associates, Atlanta, Georgia. 6. Metabolic Institute of America, Tarzana, California. 7. University of Missouri-Kansas City School of Medicine, Kansas City, Missouri. 8. Southern Endocrinology, Plano, Texas. 9. University of Central Florida College of Medicine, Orlando, Florida. 10. Biomedical Informatics Consultants, LLC, Potomac, Maryland. 11. American Association of Clinical Endocrinology, Jacksonville, Florida. 12. Unger Primary Care Concierge Medical Group, Rancho Cucamonga, California.
Abstract
OBJECTIVE: To provide evidence-based recommendations regarding the use of advanced technology in the management of persons with diabetes mellitus to clinicians, diabetes-care teams, health care professionals, and other stakeholders. METHODS: The American Association of Clinical Endocrinology (AACE) conducted literature searches for relevant articles published from 2012 to 2021. A task force of medical experts developed evidence-based guideline recommendations based on a review of clinical evidence, expertise, and informal consensus, according to established AACE protocol for guideline development. MAIN OUTCOME MEASURES: Primary outcomes of interest included hemoglobin A1C, rates and severity of hypoglycemia, time in range, time above range, and time below range. RESULTS: This guideline includes 37 evidence-based clinical practice recommendations for advanced diabetes technology and contains 357 citations that inform the evidence base. RECOMMENDATIONS: Evidence-based recommendations were developed regarding the efficacy and safety of devices for the management of persons with diabetes mellitus, metrics used to aide with the assessment of advanced diabetes technology, and standards for the implementation of this technology. CONCLUSIONS: Advanced diabetes technology can assist persons with diabetes to safely and effectively achieve glycemic targets, improve quality of life, add greater convenience, potentially reduce burden of care, and offer a personalized approach to self-management. Furthermore, diabetes technology can improve the efficiency and effectiveness of clinical decision-making. Successful integration of these technologies into care requires knowledge about the functionality of devices in this rapidly changing field. This information will allow health care professionals to provide necessary education and training to persons accessing these treatments and have the required expertise to interpret data and make appropriate treatment adjustments.
OBJECTIVE: To provide evidence-based recommendations regarding the use of advanced technology in the management of persons with diabetes mellitus to clinicians, diabetes-care teams, health care professionals, and other stakeholders. METHODS: The American Association of Clinical Endocrinology (AACE) conducted literature searches for relevant articles published from 2012 to 2021. A task force of medical experts developed evidence-based guideline recommendations based on a review of clinical evidence, expertise, and informal consensus, according to established AACE protocol for guideline development. MAIN OUTCOME MEASURES: Primary outcomes of interest included hemoglobin A1C, rates and severity of hypoglycemia, time in range, time above range, and time below range. RESULTS: This guideline includes 37 evidence-based clinical practice recommendations for advanced diabetes technology and contains 357 citations that inform the evidence base. RECOMMENDATIONS: Evidence-based recommendations were developed regarding the efficacy and safety of devices for the management of persons with diabetes mellitus, metrics used to aide with the assessment of advanced diabetes technology, and standards for the implementation of this technology. CONCLUSIONS: Advanced diabetes technology can assist persons with diabetes to safely and effectively achieve glycemic targets, improve quality of life, add greater convenience, potentially reduce burden of care, and offer a personalized approach to self-management. Furthermore, diabetes technology can improve the efficiency and effectiveness of clinical decision-making. Successful integration of these technologies into care requires knowledge about the functionality of devices in this rapidly changing field. This information will allow health care professionals to provide necessary education and training to persons accessing these treatments and have the required expertise to interpret data and make appropriate treatment adjustments.
Authors: Ileana Mardare; Stephen M Campbell; Johanna C Meyer; Israel Abebrese Sefah; Amos Massele; Brian Godman Journal: Front Pharmacol Date: 2022-01-14 Impact factor: 5.810
Authors: Anders L Carlson; Jennifer L Sherr; Dorothy I Shulman; Satish K Garg; Rodica Pop-Busui; Bruce W Bode; David R Lilenquist; Ron L Brazg; Kevin B Kaiserman; Mark S Kipnes; James R Thrasher; John H Chip Reed; Robert H Slover; Athena Philis-Tsimikas; Mark Christiansen; Benyamin Grosman; Anirban Roy; Melissa Vella; Richard A M Jonkers; Xiaoxiao Chen; John Shin; Toni L Cordero; Scott W Lee; Andrew S Rhinehart; Robert A Vigersky Journal: Diabetes Technol Ther Date: 2021-11-16 Impact factor: 6.118