Continuous glucose monitoring (CGM) usage has been shown to improve disease outcomes in people living with diabetes by facilitating better glycemic management. However, previous research has suggested that access to these devices can be influenced by nonmedical factors such as socioeconomic status and ethnicity. It is critical that equitable access to CGM devices is ensured as people from those groups experience poorer diabetes-related health outcomes. In this narrative review, we provide an overview of the various healthcare systems worldwide and how socioeconomic status, social context, and ethnicity shape device usage and the associated health outcomes. In general, we found that having a lower socioeconomic status and belonging to an ethnic minority group negatively impact CGM usage. While financial means proved to be an important mediator in this process, it was not the sole driver as disparities persisted even after adjustment for factors such as income and insurance status. Recommendations to increase CGM usage for people of a lower socioeconomic status and ethnic minorities include increasing the availability of financial, administrative, and educational support, for both patients and healthcare providers. However, recommendations will vary due to local country-specific circumstances, such as reimbursement criteria and healthcare ecosystems.
Keywords: CGM; ethnicity; socioeconomic status.
The effects of income, education, social factors and ethnicity on the use of glucose sensors by people with diabetes mellitus: a narrative review Over the recent years, glucose sensors have transformed the monitoring of glucose levels in people with diabetes. However, access to these devices has been determined by the healthcare systems and the associated rules and regulations, as well as perceptions from providers and patients about who would benefit most from these devices. In this narrative review, we performed an expansive literature search into what is known about factors that negatively impact the access to glucose sensors, and how these factors might be addressed. From this, we learn that, depending on the healthcare system, financial means form a major driver behind the disparities in glucose sensor use. However, factors such as ethnicity and provider and patient perceptions also can negatively affect one’s chances to obtain a glucose sensor. Furthermore, we found that a successful program aimed at resolving the found disparities in glucose sensor use must be multi-faceted, and must include measures aimed at financial support, the use of objective and simple criteria for sensor eligibility, as well as educational support for both patients and providers.
© The Author(s), 2024.