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SHR Neuro Cancer Cardio Lipid Metab Microb

Kopanz, J; Mader, JK; Donsa, K; Libiseller, A; Aberer, F; Pandis, M; Reinisch-Gratzer, J; Ambrosch, G; Lackner, B; Truskaller, T; Sinner, FM; Pieber, TR; Lichtenegger, KM.
Digital algorithm-guided insulin therapy in home healthcare for elderly persons with type 2 diabetes: A proof-of-concept study.
Frontiers in clinical diabetes and healthcare. 2022; 3: Doi: 10.3389/fcdhc.2022.986672 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG

 

Leading authors Med Uni Graz
Kopanz Julia
Co-authors Med Uni Graz
Aberer Felix
Libiseller Angela
Lichtenegger Katharina
Mader Julia
Pandis Marlene
Pieber Thomas
Sinner Frank Michael
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Abstract:
UNLABELLED: GlucoTab@MobileCare, a digital workflow and decision support system with integrated basal and basal-plus insulin algorithm was investigated for user acceptance, safety and efficacy in persons with type 2 diabetes receiving home health care by nurses. During a three months study nine participants (five female, age 77 ± 10 years, HbA1c 60 ± 13 mmol/mol (study start) vs. 57 ± 12 mmol/mol (study end) received basal or basal-plus insulin therapy as suggested by the digital system. In total 95% of all suggested tasks (blood glucose (BG) measurements, insulin dose calculations, insulin injections) were performed according to the digital system. Mean morning BG was 171 ± 68 mg/dL in the first study month vs. 145 ± 35 mg/dL in the last study month, indicating a reduced glycemic variability of 33 mg/dL (standard deviation). No hypoglycemic episode < 54 mg/dL occurred. User's adherence was high and the digital system supported a safe and effective treatment. Larger scale studies are needed to confirm findings under routine care. GERMAN CLINICAL TRIALS REGISTER ID: DRKS00015059.

Find related publications in this database (Keywords)
digital
algorithm
insulin therapy
home healthcare
elderly
type 2 diabetes
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