Type 1 Diabetes
Conditions
Keywords
Automated bolus calculator (ABC), Advanced carbohydrate counting (ACC), Patient empowerment
Brief summary
The investigators hypothesize, that non-optimally treated carbohydrate counting-naïve patients with type 1 diabetes can achieve better metabolic control by counting carbohydrates, and that the metabolic control can be further improved with concurrent use of Accu-Chek Aviva Expert. Additionally, the investigators propose that carbohydrate counting will lead to better quality of life as a result of fewer restrictions when eating and less variation in blood glucose. Finally the investigators hypothesize that the use of Accu-Chek Aviva Expert will lead to fewer hypoglycemic episodes.
Interventions
Training in Advanced Carbohydrate Counting and the use of an automated bolus calculator according to the BolusCal concept.
Training in advanced carbohydrate counting.
Sponsors
Study design
Eligibility
Inclusion criteria
* Patients with type 1 diabetes * Age \>18 years * Diabetes duration more than 12 months * Multiple Daily Injections therapy (fast acting analog for meals; long acting analog as basal) * HbA1c between 8.0% and 11.3%
Exclusion criteria
* Present or former practice of carbohydrate counting * Gastroparesis * Pregnancy or nursing
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Change in HbA1c | Baseline, 12 months |
Secondary
| Measure | Time frame |
|---|---|
| Frequency of serious hypoglycemic events | Baseline, 12 months |
Other
| Measure | Time frame | Description |
|---|---|---|
| Frequency of glucose below, in or above target 4-8 mmol/l assessed by blinded Continuous Glucose Monitoring 6 days before study start and 6 days before ending the study | Baseline, 12 months | — |
| Frequency of blood glucose measurements assessed by meter download before randomization and at each visit during the study | Baseline, 12 months | — |
| Treatment Satisfaction | Baseline, 12 months | Measured by Diabetes Treatment Satisfaction Questionnaire |
Countries
Denmark