Type 1 diabetes

Carbohydrate Estimation Accuracy of Two Commercially Available Smartphone Applications vs Estimation by Individuals With Type 1 Diabetes: A Comparative Study

J Diabetes Sci TechnolPublished Comparative study

Authors' conclusion

SNAQ may provide effective CHO estimation support for people with T1D, particularly those with large or inconsistent CHO estimation errors. Its impact on glucose control remains to be evaluated.

Study context

Population
Individuals with T1D aged ≥16 years; 26 cooked meals prepared at hospital kitchen, each participant estimating 2 meals in 3 sizes
Participants
53 individuals
Comparison
SNAQ and Calorie Mama smartphone apps vs patient CHO estimation
  • Participantsn = 53reference
Outcome
Accuracy: estimate's deviation from ground-truth CHO content (weight multiplied by nutritional facts from recipe database)
Methodological detailswithin-participant comparison, Apps also rated using the Mars-G questionnaire
  • Within-participant comparison
  • Apps also rated using the Mars-G questionnaire

Main finding

As reported in the abstract

Absolute error of CHO estimate
GroupValueRelative absolute error
Participantsmean 21 (SD 21.5) g71 ± 72.7%
Calorie Mamamean 24 (SD 36.5) g81.2 ± 123.4%
SNAQmean 13.1 (SD 11.3) g44.3 ± 38.2%

Value

Participantsmean 21 (SD 21.5) g
Calorie Mamamean 24 (SD 36.5) g
SNAQmean 13.1 (SD 11.3) g

Relative absolute error

Participants71 ± 72.7%
Calorie Mama81.2 ± 123.4%
SNAQ44.3 ± 38.2%
  • SNAQ vs Participants: P > 0.05 — SNAQ outperformed (both P > .05 as printed)
  • SNAQ vs Calorie Mama: P > 0.05 — SNAQ outperformed (both P > .05 as printed)

Further findings

Error consistency (within-participant SD)

Error consistency did not significantly differ between the methods

Original publication

Carbohydrate Estimation Accuracy of Two Commercially Available Smartphone Applications vs Estimation by Individuals With Type 1 Diabetes: A Comparative Study. J Diabetes Sci Technol. Published 26 July 2024. doi:10.1177/19322968241264744

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