Pediatrics, education in the age of prediction, how to support?

Authors

  • Gabriela Pacheco Public Maternal and Child Hospital of Salta, Salta, Argentina

Keywords:

education, family support, diabetes

Abstract

Therapeutic education in T1D has evolved from a reactive approach to a proactive and individualized precision healthcare model, where educational interventions are adapted to the biology, environment, and developmental stage of each patient.

  1. Presymptomatic Stages (Phases 1 and 2)

Training begins before clinical manifestation, transforming learning into a precision prevention tool:

  • Stage 1 (Autoimmunity with normoglycemia): Marked by the presence of autoantibodies. The intervention educates on the perception of biological risk and promotes preventive metabolic monitoring.
  • Stage 2 (Autoimmunity with dysglycemia): Training focuses on precision monitoring using continuous glucose monitoring (CGM) systems. The educational objective is early detection

to prevent ketoacidosis at onset.

  • Omic Approach: Families are educated on how unique genetic profiles guide the response to future immunotherapies and personalized diets, moving beyond the "one-size-fits-all" model.
  1. Clinical Stage (Stage 3)

Begins with formal diagnosis and the onset of symptoms (polyuria, polydipsia, weight loss), requiring a high-density technical deployment:

  • Survival Skills: Immediate training in the accurate administration of insulin, self-monitoring, and nutritional adjustment.
  • Digital Literacy: Led by nursing staff, it focuses on assessing prior technical skills and training in the use of insulin pumps, sensors, and mobile applications.
  • Age-Based Personalization: Implementation of dynamic and interactive strategies (such as gamification or messaging support) to optimize adherence in children and adolescents.
  1. Continuing Education and Psychosocial Support

Emotional well-being is integrated across all phases of the life cycle:

  • Managing uncertainty: Accurate diagnosis based on molecular data reduces family anxiety and aligns expectations regarding the disease course.
  • Peer support: Guidance on the responsible use of online communities to complement formal learning with emotional support.
  • Mental health care: Timely psychological intervention during critical milestones—such as technological transitions or the onset of complications—to mitigate diabetes-related distress and depression.

In conclusion, modern education in type 1 diabetes empowers individuals through the interpretation of biological data and digital tools, ensuring high-value therapeutic care.

Author Biography

Gabriela Pacheco, Public Maternal and Child Hospital of Salta, Salta, Argentina

Pediatrician specializing in Child Nutrition

References

I. Galloway N. Exploring the role of precision medicine in diabetes diagnoses. ADCES in Practice. 2022 Jan.

II. Valdespino-Saldaña E. Artificial intelligence-driven transformation of pediatric diabetes care: a systematic review and epistemic meta-analysis of diagnostic, therapeutic, and self-management applications. Int J Mol Sci. 2026;27:80.

III. Hassan, et al. Impact of tailored diabetes education on adherence and glycemic control in children and adolescents on continuous subcutaneous insulin infusion: prospective interventional study in a tertiary center. BMC Pediatr. 2025;25:670. doi:10.1186/s12887-025-06018-4.

IV. Quinn LM. Screening children for presymptomatic type 1 diabetes. Br J Gen Pract. 2023.

V. Chung WK, Erion K, Florez JC, et al. Precision medicine in diabetes: a consensus report from the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care. 2020;43:1617-1635. doi:10.2337/dci20-0022.

VI. Nie J, Haft C, Xia A, Wang X. AI-powered diabetes precision health: from data to action. NEJM AI. 2025.

Published

2026-10-01

Issue

Section

Symposiums part 6