Continuous Glucose Monitoring Workflows for Elderly, Cognitively Impaired Adults with Type 2 Dia

dc.contributor.authorPamidimukkala, Ujwala
dc.contributor.authorSavoy, April
dc.contributor.departmentMedicine, School of Medicine
dc.date.accessioned2023-09-19T18:20:58Z
dc.date.available2023-09-19T18:20:58Z
dc.date.issued2022
dc.description.abstractBackground: Elderly adults with Alzheimer’s disease-related dementia (ADRD) and type 2 diabetes tend to have difficulty in detecting hypoglycemic events. Over time, recurring hypoglycemic events increase the risk for severe consequences, such as hospitalization. Previous studies have shown continuous glucose monitoring (CGM) systems to be one of the best predictors of hypoglycemia, which can be difficult to discern normally. However, CGM systems have not been formally introduced to the ADRD population, so there is a need to understand how CGM can be incorporated into the diabetes care of elderly, cognitively impaired adults. Objective: The goal of this project is to develop a better understanding of how CGM systems can be extended to the ADRD population and what potential barriers may develop. Methods: A narrative review of how CGM systems are currently used by patients and caregivers was conducted using databases such as PubMed and Google Scholar, as well as clinical and CGM manufacturer manuals. Subsequently, a workflow extrapolated to ADRD adults was created based on these sources. Findings: A total of 118 articles, websites, and guides were obtained and evaluated. Current CGM workflows consist of 3-9 steps. A total of five potential areas for improvement have been identified. The newly constructed workflow consists of 9 steps: (1) healthcare visit, (2) CGM education, (3) CGM pick-up, (4) sensor insertion, (5) scan/calibrate, (6) evaluate data, (7) replace sensor, (8) next healthcare visit, and (9) pharmacist alterations. Conclusion: Current CGM workflows are oversimplified and do not detail processes that can be complicated for adults with diabetes and ADRD and their caregivers. However, more research still needs to be conducted to determine the severity of the identified barriers and how to overcome them. This project can inform future work on the integration of CGM into diabetes care for the ADRD population.
dc.eprint.versionFinal published version
dc.identifier.citationPamidimukkala U, Savoy A. Continuous Glucose Monitoring Workflows for Elderly, Cognitively Impaired Adults with Type 2 Diabetes. Proceedings of IMPRS. 2022;5(1). doi:10.18060/26725
dc.identifier.urihttps://hdl.handle.net/1805/35643
dc.language.isoen_US
dc.publisherIndiana University Medical Student Program for Research and Scholarship
dc.relation.isversionof10.18060/26725
dc.relation.journalProceedings of IMPRS
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.sourcePublisher
dc.subjectAlzheimer’s disease-related dementia
dc.subjectType 2 diabetes mellitus
dc.subjectGlucose monitoring
dc.titleContinuous Glucose Monitoring Workflows for Elderly, Cognitively Impaired Adults with Type 2 Dia
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