Remote education program improves carbohydrate counting but not blood sugar control in youth with type 1 diabetes
Key takeaway:
A 6-month study in 46 children and adolescents with type 1 diabetes found that a remote multiprofessional educational program improved adherence to carbohydrate counting but did not significantly improve HbA1c or quality of life.
Study at a glance
Study type
RCTs
duration
Medium-Term (3–12 mo)
Intervention
Remote Educational Program
Outcomes
HbA1c, Quality of life, Time in range, Treatment adherence
Funding
Non-industry sponsored
What was studied
Remote education's effect on quality of life and glycemic control in T1D youth
What they found
- ↑ Carbohydrate counting adherence significantly increased in the intervention group (p<0.001)
- → HbA1c showed no significant change between groups (IG: 8.9%→9.4%, CG: 9.4%→9.6%)
- → Quality of life showed no significant difference between groups
mainEffects
↑ Carbohydrate counting adherence significantly increased in the intervention group (p<0.001)
→ HbA1c showed no significant change between groups (IG: 8.9%→9.4%, CG: 9.4%→9.6%)
→ Quality of life showed no significant difference between groups
Evidence Suggest
- Remote multiprofessional education improves carbohydrate counting adherence in youth with type 1 diabetes
- Short-term remote education alone may be insufficient to improve glycemic control in children with suboptimal HbA1c
- Girls and parents/caregivers report lower quality of life, suggesting the need for targeted support
Who this applies to
Children and adolescents aged 1-18 years with type 1 diabetes and suboptimal glycemic control (HbA1c above recommended levels). Results are most relevant to similar populations in Brazil and other Latin American settings.
Keep in Mind
This was a small, open-label study with relatively short follow-up. The findings may not apply to youth with well-controlled diabetes, those using insulin pumps, or populations in settings with different healthcare infrastructure. Both groups received CGM, which may have reduced the apparent benefit of the educational program.
Between the Lines
- Small sample size (n=46) limits statistical power for subgroup analyses
- Open-label design introduces potential bias for subjective outcomes (quality of life)
- CGM provided to both groups may have diluted the measurable intervention effect
- Short 6-month follow-up may be insufficient to observe metabolic improvements
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Sources
ISPAD Clinical Practice Consensus Guidelines 2022: Stages of type 1 diabetes in children and adolescents
Clinical targets for continuous glucose monitoring data interpretation: recommendations from the international consensus on time in range
Episode 59: Early Detection of Type 1 Diabetes | American Association of Clinical Endocrinology
Standards of Care in Diabetes—2024
2015 Consensus Statement on Midgut Carcinoids | American Association of Clinical Endocrinology
2021 Clinical Practice Guideline for the Use of Advanced Technology in the Management of Persons with Diabetes Mellitus | American Association of Clinical Endocrinology
CGM & Time in Range | American Diabetes Association
IDF Diabetes Atlas 2021
Automated Insulin Delivery Systems and Glucose Management in Children and Adolescents With Type 1 Diabetes: A Systematic Review and Meta-Analysis.
Digital Health Interventions in Children and Adolescents With Type 1 Diabetes Mellitus and Their Impact on Clinical and Behavioral Outcomes: Scoping Review.
Health-related quality of life, glycaemic control, lifestyle characteristics and SARS-CoV-2 prevalence in children with type 1 diabetes during the COVID-19 pandemic: results of a longitudinal, prospective single-centre Swiss study.
Impact of technologies on quality of life in relation to glucose control in patients with type 1 diabetes.
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