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. 2023 Aug 1;46(8):e146-e147.
doi: 10.2337/dc23-0341.

Impact of Continuous Glucose Monitoring Initiation on Emergency Health Services Utilization

Affiliations

Impact of Continuous Glucose Monitoring Initiation on Emergency Health Services Utilization

Joshua M Weinstein et al. Diabetes Care. .
No abstract available

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Conflict of interest statement

Funding and Duality of Interest. This project was supported by funds from Dexcom, Inc., a company that develops, manufactures, and distributes CGM systems for diabetes management. The database infrastructure used for this project was funded by the University of North Carolina (UNC) Cecil G. Sheps Center for Health Services Research, the Department of Health Policy and Management, UNC Gillings School of Global Public Health, the Comparative Effectiveness Research Strategic Initiative of UNC’s Clinical and Translational Science Award (UM1TR004406), and the UNC School of Medicine. At the time of this work, B.U. was an employee of the University of North Carolina. He is currently a Principal Health Outcomes Researcher with Prime Therapeutics. T.S. receives investigator-initiated research funding and support as Principal Investigator (R01AG056479) from the National Institute on Aging (NIA), and as Co-Investigator (R01CA174453, R01HL118255, R01MD011680), National Institutes of Health (NIH). He also receives salary support as Director of Comparative Effectiveness Research (CER), NC TraCS Institute, UNC Clinical and Translational Science Award (UM1TR004406), the Center for Pharmacoepidemiology (current members: GlaxoSmithKline, UCB BioSciences, Takeda, AbbVie, Boehringer Ingelheim), from pharmaceutical companies (Novo Nordisk), and from a generous contribution from Dr. Nancy A. Dreyer to the Department of Epidemiology, University of North Carolina at Chapel Hill. T.S. does not accept personal compensation of any kind from any pharmaceutical company. He owns stock in Novartis, Roche, and Novo Nordisk.

Figures

Figure 1
Figure 1
Pre-post rates of ED visits per 1,000 analytic cohort members (individuals). Shown are differences in ED visits among intervention (personal CGM initiators) and control patients matched on diabetes type, source of insurance, 6-month time period, endocrinology visits in the past year, claim-identifiable hypoglycemic event in the past year, insulin type, professional CGM use in the preperiod, sex, age, residence in a rural zip code, and chronic conditions defined by hierarchical condition categories.

References

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