SOCIO-TECHNICAL DIMENSIONS OF THE DIGITAL DIVIDE IN DIABETES TECHNOLOGY: A SYSTEMATIC REVIEW OF INEQUITY IN CGM ADOPTION

Authors

DOI:

https://doi.org/10.31435/ijitss.1(49).2026.5142

Keywords:

Diabetes Mellitus, Health Equity, Digital Divide, Continuous Glucose Monitoring, Socio-Technical Systems, Socioeconomic Status

Abstract

Background: Diabetes mellitus remains a significant global health burden. While the rapid advancement of diabetes technologies—such as Continuous Glucose Monitoring (CGM) and mobile health (mHealth) applications—has transformed clinical outcomes, it has also introduced a widening "digital divide."

Objective: This review evaluates the impact of socioeconomic barriers on the adoption of modern diabetes technologies and discusses the implications for health equity through a socio-technical systems lens.

Methodology: Following a systematic literature search, 20 high-impact articles published between 2021 and 2026 were analyzed. The selection includes systematic reviews, cohort studies, and mixed-methods research from diverse geographical contexts, including the United States and the United Kingdom

Results: The analysis identifies that financial barriers are compounded by deep-seated systemic failures. Even in universal healthcare models (e.g., the UK’s NHS), ethnic minorities and socioeconomically deprived populations are significantly less likely to be prescribed CGM technology [7]. Beyond cost, the review identifies "clinician implicit bias" [8, 14], lack of digital literacy in safety-net settings [13], and deficiencies in universal design for individuals with sensory disabilities [19] as primary obstacles. Furthermore, rural populations face distinct infrastructural hurdles that impede technology adoption [10, 15].

Conclusion: Findings suggest that technological progress may paradoxically widen health disparities unless a "human-centered" and systems-based approach is adopted. Policy interventions must move beyond mere reimbursement to address clinician education, inclusive interface design, and infrastructural equity to ensure that innovation serves as a tool for reducing health inequalities.

References

Addala, A., Auzanneau, M., Miller, K., Maier, W., Foster, N., Kapellen, T., Walker, A., Rosenbauer, J., Maahs, D. M., & Holl, R. W. (2021). A decade of disparities in diabetes technology use and HbA1c in pediatric type 1 diabetes: A transatlantic comparison. Diabetes Care, 44(1), 133–140. https://doi.org/10.2337/dc20-0257

Dicks, J. H., McCann, L. J., Tolley, A., et al. (2024). Equity of continuous glucose monitoring in children and young people with type 1 diabetes: A systematic review. Pediatric Diabetes, 47(3), 456–468. https://doi.org/10.1155/pedi/8875203

Patel, P. M., Thomas, D., Liu, Z., et al. (2024). Systematic review of disparities in continuous glucose monitoring and insulin pump utilization in the United States. Diabetes, Obesity and Metabolism, 108(10), 2715–2727. https://doi.org/10.1111/dom.15774

Walker, A. F., Hood, K. K., Gurka, M. J., et al. (2021). Barriers to technology use and endocrinology care for underserved communities with type 1 diabetes. Diabetes Care, 44(7), 1480–1490. https://doi.org/10.2337/dc20-2753

McAdam-Marx, C. (2022). Addressing healthcare disparities and managed care considerations with continuous glucose monitoring. The American Journal of Managed Care, 28(13 Suppl), S235–S242. https://doi.org/10.37765/ajmc.2022.89215

Tremblay, E. S., Bernique, A., Garvey, K., & Astley, C. M. (2023). A retrospective cohort study of racial/ethnic and socioeconomic disparities in meaningful use of CGM. Journal of Diabetes Science and Technology. https://doi.org/10.1177/19322968231183985

Seidu, S., Tetteh, J., Kunutsor, S., et al. (2024). Prescription distribution and inequities in diabetes care: Analysis of CGM access in England. Diabetic Medicine, 12(4), 245–257. https://doi.org/10.1111/dme.70130

Pereira, R. I. (2024). Continuous glucose monitoring access—Addressing racial and ethnic disparities in diabetes. JAMA Network Open, 7(4), e2445324. https://doi.org/10.1001/jamanetworkopen.2024.45324

Adomako, N. O., Nti, K. O., Chepkorir, J., et al. (2025). Who's left behind? Exploring the digital divide in health app use. medRxiv [Preprint]. https://doi.org/10.1101/2025.11.24.25340934

Oser, S. M., Oser, T. K., Parascando, J. A., Stuckey, H. L., Grainger, L. J., Salyer, K. J., Widome, M. D., & Nease, D. E. (2022). Continuous glucose monitoring in primary care: Understanding and supporting clinicians' use to enhance diabetes care. Annals of Family Medicine, 24(11), 812–822. https://doi.org/10.1370/afm.2876

Bastien, L., Goldboom, E. B., Sucha, E., Webster, R. J., Terekhov, I., & Zuijdwijk, C. (2025). Physician-reported pediatric diabetes virtual visit quality and outcome not associated with social determinants of health. Canadian Journal of Diabetes, 49(8), 431. https://doi.org/10.1016/j.jcjd.2025.08.001

Hernandez-Ramos, R., Aguilera, A., Garcia, F., et al. (2021). Conducting internet-based visits for onboarding populations with limited digital literacy to an mHealth intervention: Development of a patient-centered approach. JMIR Formative Research, 5(4), e25299. https://doi.org/10.2196/25299

Sabben, G., Telfort, C., Morales, M., et al. (2024). Technology and CGM access, literacy, and use in an inner-city safety-net hospital. JMIR Diabetes, 9, e49345. https://doi.org/10.2196/54223

Hall, T., Dickinson, L. M., Callen, E., et al. (2024). Relationship of primary care clinician characteristics with CGM use and confidence. Annals of Family Medicine, 37(1), 55–64. https://doi.org/10.1370/afm.20.s1.2745

Tilden, D. R., French, B., Datye, K. A., & Jaser, S. S. (2024). Disparities in CGM use between children living in urban and rural areas. Diabetes Care, 47(1), 32–40. https://doi.org/10.2337/dc23-1564

Owusu, B., Bivins, B., Francis, L., et al. (2024). CGM for Black older adults with type 2 diabetes: Challenges and innovations. Journal of Advanced Nursing, 80(2), 445–458. https://doi.org/10.1111/jan.16277

Warman, M., Fillippi, M., Oser, T., et al. (2024). Continuous glucose monitoring for primary care: Barriers, facilitators, & resources. Annals of Family Medicine, 37(2), 145–156. https://doi.org/10.1370/afm.20.s1.2689

Agarwal, S., Kanapka, L. G., Raymond, J. K., et al. (2021). Racial-ethnic inequity in young adults with type 1 diabetes. The Journal of Clinical Endocrinology & Metabolism, 107(8), 2260–2269. https://doi.org/10.1210/clinem/dgaa236

Hughes, A. S., Mirus, K., Heydarian, N. M., & Litchman, M. L. (2024). Diabetes care disparities in Deaf/Hard of Hearing and Blind/Low Vision populations. Current Diabetes Reports, 24(1), 11. https://doi.org/10.1007/s11892-024-01565-z

Haynes, S. C., Kompala, T., Neinstein, A., & Gal, R. L. (2021). Disparities in telemedicine use for subspecialty diabetes care during COVID-19. Journal of Diabetes Science and Technology, 15(5), 982–992. https://doi.org/10.1177/1932296821997851

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Published

2026-03-30

How to Cite

Weronika Napierała, Karolina Magda Leszczyńska, Jeremi Leon Jasiński, Anna Krzysztofik, Karolina Krawczyk, Kamila Teresa Kańska, Aleksandra Maria Tomaszewska, Alicja Maria Mitan, Maciej Tomasz Wieczorek, & Karolina Julia Hak. (2026). SOCIO-TECHNICAL DIMENSIONS OF THE DIGITAL DIVIDE IN DIABETES TECHNOLOGY: A SYSTEMATIC REVIEW OF INEQUITY IN CGM ADOPTION. International Journal of Innovative Technologies in Social Science, 3(1(49). https://doi.org/10.31435/ijitss.1(49).2026.5142

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