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Institutional Barriers to the Successful Implementation of Telemedicine for Type 1 Diabetes Care.

Joyce M LeeEmma OspeltNudrat NoorAnn MungmodeOsagie EbekozienMeenal GuptaFaisal S MalikNaomi R FogelSiham AccachaSusan HsiehMeredith WilkesAnna NeymanFrancesco Vendramenull null
Published in: Clinical diabetes : a publication of the American Diabetes Association (2023)
The aim of this study was to describe rates of telemedicine use 18 months after the start of the coronavirus disease 2019 pandemic and to assess the institutional barriers to its implementation for type 1 diabetes care across centers of the T1D Exchange Quality Improvement Collaborative. Observational electronic health record data capturing telemedicine rates from 15 U.S. centers between September 2020 and September 2021 and a survey of 33 centers capturing telemedicine rates and key components of telemedicine were analyzed. A capacity score was developed and summed to a total capacity score and compared with overall telemedicine rates across centers. Telemedicine visits decreased by 17.4% from September 2020 to September 2021. Generally, it was observed that the lower the average telemedicine capacity score, the lower the rate of telemedicine visits. Despite a decline in the utilization of telemedicine 18 months after the start of the pandemic, visit rates were still 20% higher than in the pre-pandemic period. However, there is a need to improve structural components to ensure telemedicine capacity and robust telemedicine utilization.
Keyphrases
  • coronavirus disease
  • quality improvement
  • type diabetes
  • electronic health record
  • sars cov
  • healthcare
  • primary care
  • metabolic syndrome
  • machine learning
  • cross sectional
  • big data
  • deep learning