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Published on: June 11, 2012
Virtual Diabetes "Boot Camp": An Innovative Model for Improving Glycemic Control
Yi-Ju Chen1, Renu Joshi1, Anas Atrash1
1From the Department of Internal Medicine, UPMC Central Pa., Harrisburg, PA (YJC, AA); Department of Family Medicine, Telehealth UPMC Central Pa., Harrisburg, PA (SMS, SK); Department of Endocrinology, UPMC Central Pa., Harrisburg, PA, USA (RJ).
A 12-week telemedicine diabetes program significantly improved glycemic control (A1C) in patients with uncontrolled diabetes. Higher initial A1C levels correlated with greater reductions, demonstrating telemedicine
Area of Science:
- Endocrinology
- Digital Health
- Primary Care Medicine
Background:
- Telemedicine enhances patient-physician access and outcomes, particularly for chronic disease management.
- The COVID-19 pandemic accelerated telemedicine adoption, expanding its application in healthcare.
- An institution launched a 12-week telemedicine diabetes "boot camp" for uncontrolled diabetes patients.
Purpose of the Study:
- To evaluate the effectiveness of a telemedicine-based diabetes intervention program.
- To assess improvements in glycemic control and other health metrics in patients with poorly controlled diabetes.
Main Methods:
- Voluntary enrollment of 134 patients with diabetes mellitus (DM) and A1C > 8.0% from Sept 2020 to Nov 2021.
- Biweekly telemedicine visits conducted by dietitians and diabetes care specialists over 12 weeks.
- Measurement of demographics, A1C, BMI, and blood pressure pre- and post-intervention.
Main Results:
- A mean A1C reduction of -2.09% ± 2.4% was observed across all participants.
- A1C reduction was consistent across various demographics and clinic types.
- Higher initial A1C levels showed a negative correlation with A1C change, indicating greater improvement.
Conclusions:
- The telemedicine diabetes program effectively improved A1C in patients with poorly controlled diabetes.
- Intervention benefits were observed irrespective of patient characteristics.
- Initial glycemic severity was a predictor of greater A1C reduction.
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