Julia Kopanz, Julia K Mader, Klaus Donsa, Angela Libiseller, Felix Aberer, Marlene Pandis, Johanna Reinisch-Gratzer, Gisela C Ambrosch, Bettina Lackner, Thomas Truskaller, Frank Michael Sinner, Thomas R Pieber, Katharina M Lichtenegger
{"title":"Digital algorithm-guided insulin therapy in home healthcare for elderly persons with type 2 diabetes: A proof-of-concept study.","authors":"Julia Kopanz, Julia K Mader, Klaus Donsa, Angela Libiseller, Felix Aberer, Marlene Pandis, Johanna Reinisch-Gratzer, Gisela C Ambrosch, Bettina Lackner, Thomas Truskaller, Frank Michael Sinner, Thomas R Pieber, Katharina M Lichtenegger","doi":"10.3389/fcdhc.2022.986672","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p><p><strong>German clinical trials register id: </strong>DRKS00015059.</p>","PeriodicalId":73075,"journal":{"name":"Frontiers in clinical diabetes and healthcare","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012122/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in clinical diabetes and healthcare","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fcdhc.2022.986672","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.