TY - JOUR
T1 - Digital algorithm-guided insulin therapy in home healthcare for elderly persons with type 2 diabetes: A proof-of-concept study
AU - Kopanz, Julia
AU - Mader, Julia K.
AU - Donsa, Klaus
AU - Libiseller, Angela
AU - Aberer, Felix
AU - Pandis, Marlene
AU - Reinisch-Gratzer, Johanna
AU - Ambrosch, Gisela C.
AU - Lackner, Bettina
AU - Truskaller, Thomas
AU - Sinner, Frank Michael
AU - Pieber, Thomas R.
AU - Lichtenegger, Katharina M.
N1 - © 2022 Kopanz, Mader, Donsa, Libiseller, Aberer, Pandis, Reinisch Gratzer, Ambrosch, Lackner, Truskaller, Sinner, Pieber and Lichtenegger. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
PY - 2022/9/23
Y1 - 2022/9/23
N2 - 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.
AB - 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.
KW - digital
KW - algorithm
KW - insulin therapy
KW - home healthcare
KW - elderly
KW - type 2 diabetes
UR - https://www.frontiersin.org/articles/10.3389/fcdhc.2022.986672/full#supplementary-material
U2 - 10.3389/fcdhc.2022.986672
DO - 10.3389/fcdhc.2022.986672
M3 - Article
VL - 3
JO - Frontiers in Clinical Diabetes and Healthcare
JF - Frontiers in Clinical Diabetes and Healthcare
ER -
