Manual Logging of Blood Glucose Data to a Digital Logbook: Real-World Impact of a Standalone Digital Diabetes App on Blood Glucose Management over Six Months

Introduction: Digital diabetes apps are associated with improved glycemic control in people with type 1 (T1D) and type 2 (T2D) diabetes mellitus. In this retrospective, real-world data study, we aimed to assess the standalone effect of the mySugr app on glycemic control, without the use of additional connected devices to monitor/manage diabetes therapy. Methods: Data were collected from mySugr Logbook users who registered from January 2018 to July 2025 and provided consent for personal data processing. Eligible users were ≥16 years old upon registration, did not have imported blood glucose (BG) log entries from connected devices, and had manually logged BG for a minimum of two entries per day for 14 days per month, for the first 6 months of logbook use. Mean monthly BG, coefficient of variation (CV), and proportions of tests below (180 mg/dL) were calculated for each user. Mean values for each metric were calculated across users and compared across 6 months of mySugr use. Paired samples t-tests with Bonferroni corrections were performed. Results: Of the 11,891 users in the sample population, 3523 (29.6%) were people with T1D, 6704 (56.4%) were people with T2D, and 1664 (14.0%) had other/non-disclosed diabetes types. Mean (standard error of measurement SEM) monthly BG and CV significantly decreased from the first to the sixth month of mySugr Logbook use (Δ = –6.69 ±0.25 mg/dL and Δ = –1.70 ±0.06%, respectively; both P < 0.001). Mean (SEM) monthly proportion of tests in range significantly increased (Δ = 4.05 ±0.15%; P < 0.001). Conclusions: Highly engaged mySugr Logbook users, who manually logged their BG values without any automatically imported BG data, improved their glycemic outcomes over 6 months, suggesting that the mySugr Logbook may facilitate therapy adherence and constructive lifestyle adjustments.