Reviewed clinical summary · Source-linked · Educational use only

Does a Digital Diabetes Logbook Improve Glycaemic Control?

Visual abstract summarising digital diabetes logbook use and glycaemic control.

Clinical Bottom Line

A manufacturer-sponsored secondary analysis and propensity-matched real-world dataset suggest the mySugr digital logbook is associated with better glycaemic control, strongest in those with high baseline HbA1c. PICO summary and expert commentary.

Summary: In adults with type 1 or type 2 diabetes, a secondary analysis of the mySugr PRO randomised controlled trial (n=342) found that using a digital diabetes logbook roughly doubled the odds of reaching HbA1c 6.5% or below at three months (odds ratio 2.24, 95% CI 1.12 to 4.47; P=.02). Propensity-matched real-world data (n=2861) showed associated reductions in mean blood glucose at three and twelve months, largest among those with high baseline HbA1c. The design is observational and secondary, so these findings are associational rather than proof of efficacy.

PICO Summary

ElementDetail
PopulationAdults with type 1 or type 2 diabetes. RCT secondary-analysis cohort n=342; propensity-matched real-world cohort n=2861 (12-month subcohort n=1176). Conducted via the mySugr PRO programme (German Clinical Trials Register DRKS00022923).
InterventionUse of the mySugr digital diabetes logbook app for self-monitoring and self-management.
ComparisonRCT control group not using the logbook (group allocation, baseline HbA1c as covariate). Real-world analyses used within-person change from baseline (single-sample t tests), with no concurrent untreated comparator.
OutcomeRCT: odds of HbA1c 6.5% or below at 3 months, OR 2.24 (95% CI 1.12 to 4.47; P=.02). Real-world mean blood glucose change at 3 months: type 1 -16.3 mg/dL (95% CI -20.6 to -12.4; P<.001); type 2 -27.3 mg/dL (95% CI -28.7 to -25.9; P<.001). Largest change in those with baseline HbA1c above 8.5% (type 1 -82.2 mg/dL; type 2 -104.6 mg/dL; both P<.001). Total cohort at 12 months -19.8 mg/dL (95% CI -21.8 to -17.9; P<.001). No absolute risk reduction, NNT, or adverse-event data reported.
RCT J Med Internet Res · 2025

Digital diabetes logbook and glycaemic control

RCT secondary analysis · type 1 and type 2 diabetes · 3 months

Trial design
Adults with T1D or T2D Enrolled & assessed RANDOMISED RCT subgroup Logbook mySugr digital logbook n = 342 Control No logbook n = 342 HbA1c 6.5% or below at 3 months
Between-group effect (95% CI)
0 (no difference) 0.5 5 HbA1c ≤6.5% at 3 mo+2.24 ✓ Odds ratio (95% CI) · ✓ = significant
Odds ratio
2.24
HbA1c ≤6.5% at 3 mo
95% CI
1.12 to 4.47
P=.02
RW BG change T2D
-27.3 mg/dL
3 mo, P<.001
RW BG change T1D
-16.3 mg/dL
3 mo, P<.001
⬡ Bottom Line

Logbook use roughly doubled the odds of reaching HbA1c 6.5% or below at three months. The finding is from a secondary RCT endpoint with a wide confidence interval and manufacturer sponsorship, so it is hypothesis-supporting rather than proof of benefit.

Expert Commentary

This report should be read as hypothesis-supporting rather than practice-changing. The only controlled comparison is the secondary RCT endpoint, where logbook use was associated with roughly double the odds of reaching an HbA1c of 6.5% or below at three months. That odds ratio is statistically significant but its confidence interval is wide and reaches close to unity, so the effect is imprecise and rests on a single short-term threshold outcome. The much larger blood glucose reductions come from propensity-matched real-world data analysed with single-sample t tests, which lack a concurrent untreated comparator and therefore cannot separate the app from regression to the mean, secular trends, or the engagement of people who choose to use a logbook. The most important caveat is sponsorship: several authors are employed by the device manufacturer and by the company marketing it, and the study evaluates that company’s own product, which warrants caution about both effect size and framing. The very large reductions in those with the highest baseline HbA1c are biologically plausible but also exactly where regression to the mean is strongest. Can I use this with my patients? Not yet as evidence of benefit, though it is reasonable to offer a structured digital logbook to a motivated patient already inclined to self-monitor, while being honest that proof of glycaemic benefit is limited. An adequately powered, independently funded trial reporting HbA1c, adverse effects, and sustained engagement would settle the question.

References

Ehrmann D, Ruch B, Mitter M, Kober J, Hermanns N, Schäfer V, Kulzer B, Silbermann S. Improvements in Glycemic Control With a Digital Diabetes Logbook: Secondary Analysis of a Randomized Controlled Trial Enriched by Observational, Real-World Data. J Med Internet Res. 2025;27:e68933. doi:10.2196/68933

Educational use: Hormone Insight is intended for healthcare professionals and learners. Interpret each summary alongside the primary source, local guidance, and patient-specific clinical judgement.

Subscribe now

Welcome to Hormone Insight. Our mission is to support clinical decision-making with accessible, evidence-based insights from recent studies and trials.

© 2024-2026 Hormone Insight. All rights reserved.