Human factors in the use and efficacy of decision support technologies for type 1 diabetes: evidence from a randomized controlled trial
Authors' conclusion
Personalized feedback (iDSS) may offer an important learning tool, especially for individuals with lower diabetes-related knowledge. Addressing diabetes-related distress and hypoglycemia worry could unlock the full potential of DSS technologies.
Study context
- Population
- Adults with T1D using insulin injections or pump and continuous glucose monitoring (CGM)completed (26 injections, 27 pump)
- Participants
- 53 adults
- Comparison
- Informative decision support systems (DSS) vs prescriptive DSS vs no DSS
- Primary endpoint
- CGM-derived glycemic metrics
Methodological detailscrossover, randomized order, three 2-month interventions
- Crossover
- Randomized order
- Three 2-month interventions
Primary result
As reported in the abstract
- Glycemic outcomes did not differ between interventions
Further findings
| Outcome | Reduction in average time >180 mg/dl (%) | P value |
|---|---|---|
| Time >180 mg/dl, participants with lower diabetes-related knowledge (exploratory)iDSS vs No DSS | −6 | P < 0.001 |
| Time >180 mg/dl, participants with higher HbA1c (exploratory)iDSS vs No DSS | −6 | P < 0.01 |
DSS engagement and psychosocial factors (exploratory)
- Emotional distress associated with lower DSS engagement
- P < 0.001
- Hypoglycemia worry associated with lower DSS engagement
- P < 0.01
- Participants engaged more with their preferred system
- P < 0.01
- Preferred informative DSS (iDSS)
- 40 %
Original publication
Human factors in the use and efficacy of decision support technologies for type 1 diabetes: evidence from a randomized controlled trial. Diabetes Res Clin Pract. Published 10 December 2025. doi:10.
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