Continuous Glucose Monitoring Use in Rural Area: An Evidence-Based Case Report

Abstract

Continuous Glucose Monitoring (CGM) provides real-time glycemic variability data, surpassing traditional methods like HbA1c. CGM data, also known as glucometrics, provide a comprehensive assessment of glycemic variability rather than a single point estimate like HbA1c, CGM data, or glucometrics. It provides a comprehensive assessment of glycemic variability rather than a single point estimate like HbA1c. CGM enables clinicians to understand dysglycemia patterns better by continuously tracking the patient’s glucose levels, therefore allowing for individualized adjustments to antidiabetic therapy. By continuously tracking glucose levels, a CGM enables clinicians to understand dysglycemia patterns better, allowing for individualized adjustments to antidiabetic therapy. While costly, CGM enables long-distance monitoring, addressing healthcare inaccessibility in remote rural areas. This case reportstudy examines a 24-year-old Indonesian female patient diagnosed with young-onset diabetes with limited access to specialized care, a history of macrosomia at birth, high blood glucose, and a body mass index (BMI) of 27.7. The patient's abdominal circumference was 86 cm, which is above normal for women and within the range of obesity. In this patient, CGM recorded a mean glucose level of 145 mg/dL. Studies indicate that when at least 70% of CGM data is available over a 10–14-day period, an estimated HbA1c can be calculated. CGM is vital for diabetes management in rural settings. Further, integrating telemedicine can help bridge healthcare gaps. Expanding access to CGM and genetic testing is crucial for improving outcomes in underserved communities.