Establishment and Operation of a Three-Dimensional Nursing Model for Athletes with Diabetes Based on Smart Medical Big Data

Abstract

Background: The prevalence of diabetes continues to rise globally, influenced by changes in diet and lifestyle. Athletes with diabetes face unique challenges in disease management, given their rigorous training schedules and specific nutritional needs. Traditional self-managed care often falls short, highlighting the need for innovative nursing approaches.

Objective: To establish a three-dimensional nursing model for athletes with diabetes utilizing smart medical big data, and to evaluate its effectiveness in improving self-management and health outcomes.

Methods: This study involved 128 athletes with a stable diagnosis of diabetes, undergoing maintenance treatment at our sports medicine center from January 2020 to December 2021. Participants were randomly assigned to a study group (n=64), which received the three-dimensional nursing care, or a control group (n=64), which received standard care. The intervention utilized smart medical data to tailor and optimize each athlete's treatment and monitoring regimen.

Results: At the end of the follow-up period, the study group demonstrated significant improvements in quality of life and self-efficacy compared to the control group. Laboratory assessments also showed better control of blood glucose and lipid levels in the study group. Satisfaction levels with the three-dimensional nursing model were notably higher among the staff and athletes in the study group.

Conclusion: The implementation of a three-dimensional nursing model based on smart medical big data significantly enhances the management of diabetes in athletes. This model supports better clinical outcomes and improves patient and provider satisfaction, warranting its broader adoption in clinical practice focused on athletic health.