Comparison Of Hba1C Goals Proposed By An Algorithm To Those Set By Different Members Of Healthcare Teams Within The Dartmouth Hitchcock Health System |
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| Institution: | 2. 2;1. School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran;2. Department of Clinical Biochemistry and Molecular Biology, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran;3. School of Nursing, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran;1. From the Endocrine Institute, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel;2. Department of Pathology, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel;3. Endocrine Institute, Assaf Harofeh Medical Center, Zriffin, Israel;4. Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. |
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| Abstract: | Objective: An individualized approach is recommended by guidelines when establishing hemoglobin A1c (HbA1c) goals. Setting a goal requires experience and awareness; it is time consuming and not always trivial. A previous study proposed an algorithm for assessing the recommended HbA1c target according to individual patient characteristics. Few investigations have explored the variation of HbA1c goals recommended among different types of providers.Methods: We conducted a survey regarding practice settings, practices related to diabetes mellitus type 2, and HbA1c targets recommended to patients. Our objective was to compare HbA1c goals between Dartmouth Hitchcock Healthcare System providers (including endocrinology department, general internal medicine, and family medicine providers) and a previously validated algorithm. The clinical cases presented were those used in the previously published study.Results: The survey was sent to 228 healthcare providers of whom 81 (35.5%) responded. As recommended by the guidelines, healthcare providers individualize their patients' glycemic goals. The glycemic goals proposed by the providers in our institution were similar to those proposed by the international diabetologists and by the algorithm.Conclusion: Our results further validate the proposed algorithm within a heterogeneous population of healthcare providers. The algorithm could help establish glycemic goals and assist healthcare systems in providing more standardized care.Abbreviations: ADA = American Diabetes Association; APRN = advanced practice registered nurse; DH = Dartmouth Hitchcock Healthcare System; FM = family medicine; GIM = general internal medicine; HbA1c = hemoglobin A1c; PA-C = certified physician assistant |
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