Digital Health (Sep 2023)

Evaluation of , a self-guided online type 1 diabetes self-management education and support web application—a mixed methods study

  • Li Feng Xie,
  • Asmaa Housni,
  • Amélie Roy-Fleming,
  • Aude Bandini,
  • Treena Delormier,
  • Deborah Da Costa,
  • Anne-Sophie Brazeau

DOI
https://doi.org/10.1177/20552076231204435
Journal volume & issue
Vol. 9

Abstract

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Background Type 1 diabetes requires making numerous daily decisions to maintain normoglycemia. Support is an evidence-based self-guided web application for type 1 diabetes diabetes self-management. Objective Evaluate users’ satisfaction with Support and investigate changes in self-reported frequency of-, fear of- hypoglycemia, and diabetes-related self-efficacy. Methods Adults from a Quebec type 1 diabetes registry used Support . Data was collected through online surveys or extracted from the registry at 0, 6, and 12 months (number of episodes and fear of hypoglycemia). At 6 months, participants reported satisfaction with Support and diabetes-related self-efficacy. A sub-group of 16 users was interviewed about their experience . Transcripts were analyzed using inductive and deductive approaches. Results In total, 207 accounts were created (35% men, 96% White, mean age and diabetes duration: 49.3 ± 13.8 and 25.2 ± 14.7 years). At 6 months, the median [Q1; Q3] satisfaction was 40/49 [35; 45] with a mean decrease in hypoglycemia frequency of 0.43 episodes over 3 days (95% CI: −0.86; 0.00, p = 0.051) and of −1.98 score for fear (95% CI: −3.76; −0.20, p = 0.030). Half of the participants reported increased diabetes-related self-efficacy. Conclusions Participants reported a high level of satisfaction with Support . Its use has the potential to facilitate hypoglycemia management and increase diabetes-related self-efficacy. Trial registration This study is registered on ClinicalTrials.gov NCT04233138.