To investigate the association between social determinants of health (SDOH) and glycemic management among patients using continuous glucose monitoring (CGM) technology.
Approach:
Study Design: A retrospective, cross-sectional study analyzing CGM data from patients with type 1 or type 2 diabetes at a single academic health system.
Data Collection: Patient demographics, CGM data, and SDOH measures were collected, including race, ethnicity, insurance type, and socioeconomic status.
Analysis Method: Inverse probability weighting (IPW) was applied to adjust for demographic differences, and various CGM-derived metrics and HbA1c were evaluated.
Key Findings:
Higher HbA1c levels are associated with lower rates of CGM adoption.
The study aims to clarify whether associations with SDOH persist among CGM users.
CGM-derived metrics provide detailed insights into glycemic variability and episodes.
Interpretation:
The study aims to address knowledge gaps regarding the impact of SDOH on glycemic outcomes in patients using advanced diabetes technology.
Limitations:
Limited data availability among marginalized populations may affect findings.
Exclusion of patients with incompatible CGM devices may limit generalizability.
Conclusion:
The study investigates the relationship between SDOH and glycemic management in CGM users.
