FACTORS AFFECTING BASAL INSULIN INJECTION ADHERENCE INVESTIGATED USING SMART INSULIN PEN DATAShow others and affiliations
2023 (English)In: Diabetes Technology & Therapeutics, ISSN 1520-9156, E-ISSN 1557-8593, Vol. 25, no Suppl. 2, p. A197-A197, article id 618Article in journal, Meeting abstract (Other academic) Published
Abstract [en]
Background and Aims: The challenge of managing multipldaily insulin injections can reduce treatment adherence, potentially leading to inadequate glycaemic control in type 1 diabetes (T1D). In a real-world setting, we investigated the probability and influencing factors for missing basal insulin injections.
Methods: Data from 11 countries were collected from individuals with T1D using a smart insulin pen (NovoPen 6) to deliver their basal insulin (degludec) injections. The daily probability of missing a degludec dose (‡40 hours between injections) was estimated using a generalized linear mixed model with logistic link function. Data upload frequency over the previous 14 days was used as a measure of smart insulin pen engagement.
Results: Overall, 915 individuals were included. The daily mean probability of missing a basal dose was 4.0% (95% confidence interval: 3.3–4.7%). There was a significant age effect (p<0.0001), with individuals aged 20–25 years having the highest probability of missing a basal dose. Individuals with frequent NovoPen 6 data uploads had significantly fewer missed basal doses (p<0.0001); a significant effect of weekday wademonstrated (p<0.0001), with most missed basal doses at the weekend. Individuals with a mean daily basal dose £30 units were more adherent than those with higher daily basal doses.
Conclusions: NovoPen 6 injection data represent a valuabler esource and provided insight into factors (e.g. age, weekday, and smart pen engagement) affecting basal insulin adherence in T1D. A similar analysis in type 2 diabetes is underway.
Place, publisher, year, edition, pages
Mary Ann Liebert, 2023. Vol. 25, no Suppl. 2, p. A197-A197, article id 618
National Category
Endocrinology and Diabetes
Identifiers
URN: urn:nbn:se:oru:diva-108149ISI: 001043126000455OAI: oai:DiVA.org:oru-108149DiVA, id: diva2:1796777
Conference
Advanced Technologies & Treatments for Diabetes Conference, Berlin, Germany, February 22-25, 2023
2023-09-132023-09-132023-09-13Bibliographically approved