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עמוד בית
Wed, 28.01.26

ORIGINAL ARTICLES

IMAJ | volume 28

Journal 1, January 2026
pages: 28-33

Individualized Carbohydrate Counting: A Simple Tool for Improvement of Glycemic Control

1 Goldman School of Medicine, Soroka University Medical Center, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel 2 Diabetes Unit, Soroka University Medical Center, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel 3 Department of Epidemiology, Biostatistics, and Community Health Sciences, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel

Summary

Background:

Carbohydrate counting (CC), a recommended method for managing insulin bolus in patients with Type 1 diabetes mellitus (T1DM), depends on patient cognitive ability and motivation, and often does not account for ethnic foods. We have developed a simplified, accessible, patient-specific carbohydrate counting tool (SCC) to serve our very diverse population.

Objective:

To retrospectively evaluate the long-term efficacy of the SCC with an emphasis on patients with moderate to poor glycemic control.

Method:

The SCC tool is tailored to each patient’s insulin:carbohydrate ratio (I:C), insulin sensitivity (IS), and dietary pattern. It includes two tables written in the patient's preferred language. The first lists the units of insulin needed to correct pre-meal blood glucose to target glucose. The second contains a list of food items derived from participant's personal eating habits, carbohydrate content, and the number of insulin units needed.

At a median follow-up period of 6 months, we examined the change in hemoglobin A1c (HbA1c) in 212 patients with T1DM who utilized the SCC.

Results:

At follow-up, HbA1c in the study population decreased by 1.07% (22.43 mmol/mol) (95% confidence interval 0.8–1.3, P < 0.001). The variables sex and diabetes duration were nearly statistically significant in relation to the change in HbA1c levels (P = 0.059, P = 0.056).

Conclusions:

While not influenced by age, sex, ethnicity, socioeconomic status, education, insulin delivery method, duration of diabetes, or residence, the SCC tool is designed to help adult patients with T1DM with moderate to poor glycemic control.

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