Skip to main content
Top
Published in: BMC Endocrine Disorders 1/2021

Open Access 01-12-2021 | Type 2 Diabetes | Research

The effects of professional continuous glucose monitoring as an adjuvant educational tool for improving glycemic control in patients with type 2 diabetes

Authors: Dulce Adelaida Rivera-Ávila, Alejandro Iván Esquivel-Lu, Carlos Rafael Salazar-Lozano, Kyla Jones, Svetlana V. Doubova

Published in: BMC Endocrine Disorders | Issue 1/2021

Login to get access

Abstract

Background

The study objective was to evaluate the effects of professional continuous glucose monitoring (CGM) as an adjuvant educational tool for improving glycemic control in patients with type 2 diabetes (T2D).

Methods

We conducted a three-month quasi-experimental study with an intervention (IGr) and control group (CGr) and ex-ante and ex-post evaluations in one family medicine clinic in Mexico City. Participants were T2D patients with HbA1c > 8% attending a comprehensive diabetes care program. In addition to the program, the IGr wore a professional CGM sensor (iPro™2) during the first 7 days of the study. Following this period, IGr participants had a medical consultation for the CGM results and treatment adjustments. Additionally, they received an educational session and personalized diet plan from a dietitian. After 3 months, the IGr again wore the CGM sensor for 1 week. The primary outcome variable was HbA1c level measured at baseline and 3 months after the CGM intervention. We analyzed the effect of the intervention on HbA1c levels by estimating the differences-in-differences treatment effect (Diff-in-Diff). Additionally, baseline and three-month CGM and dietary information were recorded for the IGr and analyzed using the Student’s paired t-test and mixed-effects generalized linear models to control for patients’ baseline characteristics.

Results

Overall, 302 T2D patients participated in the study (IGr, n = 150; control, n = 152). At the end of the three-month follow-up, we observed 0.439 mean HbA1C difference between groups (p = 0.004), with an additional decrease in HbA1c levels in the IGr compared with the CGr (Diff-in-Diff HbA1c mean of − 0.481% points, p = 0.023). Moreover, compared with the baseline, the three-month CGM patterns showed a significant increase in the percentage of time in glucose range (+ 7.25; p = 0.011); a reduction in the percentage of time above 180 mg/dl (− 6.01; p = 0.045), a decrease in glycemic variability (− 3.94, p = 0.034); and improvements in dietary patterns, shown by a reduction in total caloric intake (− 197.66 Kcal/day; p = 0.0001).

Conclusion

Professional CGM contributes to reducing HbA1c levels and is an adjuvant educational tool that can improve glycemic control in patients with T2D.

Trial registration

ClinicalTrials.gov: NCT04667728. Registered 16/12/2020
Literature
15.
go back to reference Reddy N, Verma N, Dungan K. Monitoring technologies- continuous glucose monitoring, mobile technology, biomarkers of glycemic control. In: Feingold KR, Anawalt B, Boyce A, et al., editors. Endotext. South Dartmouth: MDText.com, Inc.; 2000. [Updated 2020 Aug 16]. Available from: https://www.ncbi.nlm.nih.gov/books/NBK279046/. Reddy N, Verma N, Dungan K. Monitoring technologies- continuous glucose monitoring, mobile technology, biomarkers of glycemic control. In: Feingold KR, Anawalt B, Boyce A, et al., editors. Endotext. South Dartmouth: MDText.com, Inc.; 2000. [Updated 2020 Aug 16]. Available from: https://​www.​ncbi.​nlm.​nih.​gov/​books/​NBK279046/​.
16.
go back to reference Basto-Abreu A, Barrientos-Gutiérrez T, Rojas-Martínez R, Aguilar-Salinas CA, López-Olmedo N, de la Cruz-Góngora V, et al. Prevalence of diabetes and poor glycemic control in Mexico: results from Ensanut 2016. Salud Publica Mex. 2020;62(1):50–9. https://doi.org/10.21149/10752.CrossRefPubMed Basto-Abreu A, Barrientos-Gutiérrez T, Rojas-Martínez R, Aguilar-Salinas CA, López-Olmedo N, de la Cruz-Góngora V, et al. Prevalence of diabetes and poor glycemic control in Mexico: results from Ensanut 2016. Salud Publica Mex. 2020;62(1):50–9. https://​doi.​org/​10.​21149/​10752.CrossRefPubMed
21.
go back to reference Rosner B. Fundamentals of biostatistics. 5th ed. Pacific Grove: Duxbury Ress; 2000. Rosner B. Fundamentals of biostatistics. 5th ed. Pacific Grove: Duxbury Ress; 2000.
23.
go back to reference Dziura JD, Post LA, Zhao Q, Fu Z, Peduzzi P. Strategies for dealing with missing data in clinical trials: from design to analysis. Yale J Biol Med. 2013;86(3):343–58.PubMedPubMedCentral Dziura JD, Post LA, Zhao Q, Fu Z, Peduzzi P. Strategies for dealing with missing data in clinical trials: from design to analysis. Yale J Biol Med. 2013;86(3):343–58.PubMedPubMedCentral
24.
go back to reference Hernán MA, Robins JM. Causal inference. Boca Raton: Chapman & Hall/CRC; 2015. Hernán MA, Robins JM. Causal inference. Boca Raton: Chapman & Hall/CRC; 2015.
Metadata
Title
The effects of professional continuous glucose monitoring as an adjuvant educational tool for improving glycemic control in patients with type 2 diabetes
Authors
Dulce Adelaida Rivera-Ávila
Alejandro Iván Esquivel-Lu
Carlos Rafael Salazar-Lozano
Kyla Jones
Svetlana V. Doubova
Publication date
01-12-2021
Publisher
BioMed Central
Keyword
Type 2 Diabetes
Published in
BMC Endocrine Disorders / Issue 1/2021
Electronic ISSN: 1472-6823
DOI
https://doi.org/10.1186/s12902-021-00742-5

Other articles of this Issue 1/2021

BMC Endocrine Disorders 1/2021 Go to the issue