Continuous Glucose Monitoring and Other Wearable Devices to Assess Hypoglycemia among Older Adult Outpatients with Diabetes Mellitus

Author:

Weiner Michael123,Adeoye Philip4,Boeh Margaret J.5,Bodke Kunal4,Broughton Jessica5,Butler Anietra R.4,Dafferner Mackenzie L.4,Dirlam Lindsay A.6,Ferguson Denisha4,Keegan Amanda L.4,Keith NiCole R.47,Lee Joy L.12,McCorkle Corrina B.4,Pino Daniel G.16,Shan Mu8,Srinivas Preethi4,Tang Qing8,Teal Evgenia9,Tu Wanzhu48,Savoy April2310,Callahan Christopher M.145,Clark Daniel O.14

Affiliation:

1. Department of Medicine, Indiana University, Indianapolis, Indiana

2. Center for Health Services Research, Regenstrief Institute, Inc., Indianapolis, Indiana

3. Center for Health Information and Communication, Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service CIN 13–416, Richard L. Roudebush VA Medical Center, Indianapolis, Indiana

4. Center for Aging Research, Regenstrief Institute, Inc., Indianapolis, Indiana

5. Senior Care, Eskenazi Health, Indianapolis, Indiana

6. Lifestyle Health and Wellness, Eskenazi Health, Indianapolis, Indiana

7. Department of Kinesiology, Indiana University, Indianapolis, Indiana

8. Department of Biostatistics and Health Data Science, Indiana University, Indianapolis, Indiana

9. Data Services, Regenstrief Institute, Inc., Indianapolis, Indiana

10. Computer and Information Technology, Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis, Indiana

Abstract

Abstract Background Hypoglycemia (HG) causes symptoms that can be fatal, and confers risk of dementia. Wearable devices can improve measurement and feedback to patients and clinicians about HG events and risk. Objectives The aim of the study is to determine whether vulnerable older adults could use wearables, and explore HG frequency over 2 weeks. Methods First, 10 participants with diabetes mellitus piloted a continuous glucometer, physical activity monitor, electronic medication bottles, and smartphones facilitating prompts about medications, behaviors, and symptoms. They reviewed graphs of glucose values, and were asked about the monitoring experience. Next, a larger sample (N = 70) wore glucometers and activity monitors, and used the smartphone and bottles, for 2 weeks. Participants provided feedback about the devices. Descriptive statistics summarized demographics, baseline experiences, behaviors, and HG. Results In the initial pilot, 10 patients aged 50 to 85 participated. Problems addressed included failure of the glucometer adhesive. Patients sought understanding of graphs, often requiring some assistance with interpretation. Among 70 patients in subsequent testing, 67% were African-American, 59% were women. Nearly one-fourth (23%) indicated that they never check their blood sugars. Previous HG was reported by 67%. In 2 weeks of monitoring, 73% had HG (glucose ≤70 mg/dL), and 42% had serious, clinically significant HG (glucose under 54 mg/dL). Eight patients with HG also had HG by home-based blood glucometry. Nearly a third of daytime prompts were unanswered. In 24% of participants, continuous glucometers became detached. Conclusion Continuous glucometry occurred for 2 weeks in an older vulnerable population, but devices posed wearability challenges. Most patients experienced HG, often serious in magnitude. This suggests important opportunities to improve wearability and decrease HG frequency among this population.

Funder

Agency for Healthcare Research and Quality

Publisher

Georg Thieme Verlag KG

Subject

Health Information Management,Computer Science Applications,Health Informatics

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