EDUGEST

Authors

  • Silvia Saavedra Provincial Diabetes Program, Salta, Argentina

DOI:

https://doi.org/10.47196/diab.v56i3Sup.559

Keywords:

diabetes mellitus, edugest

Abstract

Gestational diabetes (GD) is the most frequent metabolic disease during pregnancy. GD is usually not diagnosed or treated, leading to serious consequences for the newborn and the mother, both during pregnancy and after birth. In Argentina, GD has a reported prevalence of 9.8%.   The EDUGEST program addresses a significant deficit at the primary care level; late diagnosis and ineffective treatment of GD.

It uses education as its main strategy to improve the diagnosis and care of women with GD.

Author Biography

Silvia Saavedra, Provincial Diabetes Program, Salta, Argentina

Diabetologist; Head of the Provincial Diabetes Program, Salta

References

I. Lapertosa S, et al. Prevalence of gestational diabetes mellitus in Argentina according to the Latin American Diabetes Association (ALAD) and International Association of Diabetes and Pregnancy Study Groups (IADPSG) diagnostic criteria and the associated maternal-neonatal complications. Health Care for Women International 2021;42,Issue4-6.

II. -Lapertosa S, Alvariñas J, Elgart JF, Salzberg S, Gagliardino JJ. Educación terapéutica de mujeres con diabetes gestaciones (Edugest) Datos correspondiente al período de reclutamiento. Rev Arg Diab 2019;53(3).

III. Irazola V, Gagliardino JJ, Lapertosa S. Enfoque integral para fortalecer la prevención y el cuidado de la diabetes en población vulnerable dentro del Sistema Público de Salud en Argentina. Jornada de capacitación en prevención y cuidado de la diabetes, mayo 2022.

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Published

2022-09-01

How to Cite

Saavedra, S. (2022). EDUGEST. Journal of the Argentine Society of Diabetes, 56(3Sup), 62–62. https://doi.org/10.47196/diab.v56i3Sup.559

Issue

Vol. 56 No. 3Sup (2022): September/December 2022

Section

6 voices in 10 minutes part 2

License

Copyright (c) 2022 on behalf of the authors. Reproduction rights: Argentine Diabetes Society

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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