BEYOND THE DATA: CONTINUOUS GLUCOSE MONITORING (CGM) TECHNOLOGIES, HEALTH EQUITY, AND THE DIGITAL DIVIDE IN DIABETES MANAGEMENT. A NARRATIVE REVIEW

Authors

DOI:

https://doi.org/10.31435/ijitss.4(48).2025.4457

Keywords:

Continuous Glucose Monitoring, Health Equity, Digital Divide, Social Determinants of Health, Diabetes Management, Healthcare Disparities

Abstract

Continuous glucose monitoring (CGM) represents a paradigm shift in diabetes management, transitioning care from reactive monitoring to proactive glycemic control; however, its adoption remains stratified by deep-seated socioeconomic and structural, and technological inequities. This narrative review synthesizes literature published between 2017 and 2025 to evaluate the clinical efficacy of CGM while interrogating the socio-technical barriers shaping its accessibility. A thematic analysis of current evidence confirms that while CGM significantly improves HbA1c, quality of life, and hypoglycemia reduction across Type 1 and Type 2 diabetes, access to these outcomes is severely constrained by systemic and digital obstacles. Key findings identify a “coverage patchwork” wherein high out-of-pocket costs and administrative hurdles disproportionately restrict access for Medicaid beneficiaries and low-income populations. Furthermore, the review highlights persistent racial disparities driven by provider implicit bias, alongside a “digital divide” where limited connectivity and low eHealth literacy impede effective utilization. Consequently, without intervention, CGM risks functioning as an “accelerator of disparities,” creating a two-tier healthcare system that privileges “data-rich” early adopters while leaving marginalized groups behind. The authors conclude that bridging this gap requires a multifaceted strategy integrating policy reform, inclusive device design, and literacy-centered education to ensure technological innovation advances health equity rather than reinforcing the “Matthew Effect” in diabetes management.

References

Addala, A., Amedari, M. I., Figg, L. E., & Ebekozien, O. (2025). Disparities in access to and use of diabetes technologies and therapeutics: A narrative review. Diabetologia, 68(11), 2430–2448. https://doi.org/10.1007/s00125-025-06494-4

Agarwal, S., Wade, A. N., Mbanya, J. C., Yajnik, C., Thomas, N., Egede, L. E., Campbell, J. A., Walker, R. J., Maple-Brown, L., & Graham, S. (2023). The role of structural racism and geographical inequity in diabetes outcomes. The Lancet, 402(10397). https://doi.org/10.1016/S0140-6736(23)00909-1

Agencja Oceny Technologii Medycznych i Taryfikacji. (2021). Program profilaktyki cukrzycy typu 2 (Raport nr OT.434.1.2021). https://bip.aotm.gov.pl/assets/files/ppz/2024/RPT/PolaczoneRaportyCukrzycaTyp2.pdf

Ajjan, R. A., Cummings, M. H., Jennings, P., Leelarathna, L., Rayman, G., & Wilmot, E. G. (2019). Optimising use of rate-of-change trend arrows for insulin dosing decisions using the FreeStyle Libre flash glucose monitoring system. Diabetes & Vascular Disease Research, 16(1), 3–12. https://doi.org/10.1177/1479164118795252

Albanese-O'Neill, A. (2023). Roadmap to the effective use of continuous glucose monitoring by diabetes care and education specialists as technology champions. Diabetes Spectrum, 36(4), 288–298. https://doi.org/10.2337/dsi23-0006

Aleppo, G., Beck, R. W., Bailey, R., Ruedy, K. J., Calhoun, P., Peters, A. L., Pop-Busui, R., Philis-Tsimikas, A., Bao, S., Umpierrez, G., Davis, G., Kruger, D., Bhargava, A., Young, L., Buse, J. B., McGill, J. B., Martens, T., Nguyen, Q. T., Orozco, I., Biggs, W., & MOBILE Study Group. (2021). The effect of discontinuing continuous glucose monitoring in adults with type 2 diabetes treated with basal insulin. Diabetes Care, 44(12), 2729–2737. https://doi.org/10.2337/dc21-1304

Aleppo, G., Laffel, L. M., Ahmann, A. J., Hirsch, I. B., Kruger, D. F., Peters, A., Weinstock, R. S., & Harris, D. R. (2017). A practical approach to using trend arrows on the Dexcom G5 CGM system for the management of adults with diabetes. Journal of the Endocrine Society, 1(12), 1445–1460. https://doi.org/10.1210/js.2017-00388

Allaire, J. C., Dennis, C., Masturzo, A., & Wittlin, S. (2024). Exploring the impact of device sourcing on real-world adherence and cost implications of continuous glucose monitoring in patients with diabetes: Retrospective claims analysis. JMIR Diabetes, 9, e58832. https://doi.org/10.2196/58832

American Diabetes Association. (2025). CGM coverage report: Patient and health care professional experience of access and choice. https://diabetes.org/sites/default/files/2025-05/ADA-CGM-Covg-Report-Patient-and-HCP-Experience-of-Access-and-Choice.pdf

Barchiesi, M. A., Calabrese, A., Costa, R., Di Pillo, F., D’Uffizi, A., Tiburzi, L., & Zahid, E. (2025). Continuous glucose monitoring in type 2 diabetes: A systematic review of barriers and opportunities for care improvement. International Journal for Quality in Health Care, 37(3), mzaf046. https://doi.org/10.1093/intqhc/mzaf046

Battelino, T., Alexander, C. M., Amiel, S. A., Arreaza-Rubin, G., Beck, R. W., Bergenstal, R. M., Buckingham, B. A., Carroll, J., Ceriello, A., Chow, E., Choudhary, P., Close, K., Danne, T., Dutta, S., Gabbay, R., Garg, S., Heverly, J., Hirsch, I. B., Kader, T., Kenney, J., … Phillip, M. (2023). Continuous glucose monitoring and metrics for clinical trials: An international consensus statement. The Lancet Diabetes & Endocrinology, 11(1), 42–57. https://doi.org/10.1016/S2213-8587(22)00319-9

Battelino, T., Danne, T., Bergenstal, R. M., Amiel, S. A., Beck, R., Biester, T., ... & Phillip, M. (2019). Clinical targets for continuous glucose monitoring data interpretation: Recommendations from the international consensus on time in range. Diabetes Care, 42(8), 1593–1603. https://doi.org/10.2337/dci19-0028

Beck, R. W., Riddlesworth, T. D., Ruedy, K., Ahmann, A., Haller, S., Kruger, D., McGill, J. B., Polonsky, W., Price, D., Aronoff, S., Aronson, R., Toschi, E., Kollman, C., & Bergenstal, R. (2017). Continuous glucose monitoring versus usual care in patients with type 2 diabetes receiving multiple daily insulin injections: A randomized trial. Annals of Internal Medicine, 167(6), 365–374. https://doi.org/10.7326/m16-2855

Been, R. A., Lameijer, A., Gans, R. O. B., van Beek, A. P., Kingsnorth, A. P., Choudhary, P., & van Dijk, P. R. (2024). The impact of socioeconomic factors, social determinants, and ethnicity on the utilization of glucose sensor technology among persons with diabetes mellitus: A narrative review. Therapeutic Advances in Endocrinology and Metabolism, 15, 20420188241236289. https://doi.org/10.1177/20420188241236289

Bober, T., Garvin, S., Krall, J., Zupa, M., Low, C., & Rosland, A. M. (2025). Examining how adults with diabetes use technologies to support diabetes self-management: Mixed methods study. JMIR Diabetes, 10, e64505. https://doi.org/10.2196/64505

Braveman, P., Arkin, E., Proctor, D., & Plough, A. (2017). What is health equity? And what difference does a definition make? Robert Wood Johnson Foundation. https://www.rwjf.org/content/dam/farm/reports/reports/2017/rwjf437343

Foss, R., Fischer, K., Lampman, M. A., Laabs, S., Halasy, M., Allen, S. V., Garrison, G. M., Sobolik, G., Bernard, M., Sosso, J., & Thacher, T. D. (2023). Disparities in diabetes care: Differences between rural and urban patients within a large health system. Annals of Family Medicine, 21(3), 234–239. https://doi.org/10.1370/afm.2962

Frank, J., Son, D., Szafranski, K., & Poon, Y. (2024). Continuous glucose monitoring for self-management of diabetes in people living with type 2 diabetes mellitus on basal insulin therapy: A microsimulation model and cost-effectiveness analysis from a US perspective with relevance to Medicaid. Journal of Managed Care & Specialty Pharmacy, 30(9), 917–928. https://doi.org/10.18553/jmcp.2024.24025

Heinemann, L. (2008). Finger pricking and pain: A never ending story. Journal of Diabetes Science and Technology, 2(5), 919–921. https://doi.org/10.1177/193229680800200526

Heinemann, L., & Klonoff, D. C. (2020). An opportunity to increase the benefit of CGM usage: The need to train the patients adequately. Journal of Diabetes Science and Technology, 14(6), 983–986. https://doi.org/10.1177/1932296819895083

Ibrahim, H., Liu, X., Zariffa, N., Morris, A. D., & Denniston, A. K. (2021). Health data poverty: An assailable barrier to equitable digital health care. The Lancet Digital Health, 3(4), e260–e265. https://doi.org/10.1016/S2589-7500(20)30317-4

Isaacs, D., Bellini, N. J., Biba, U., Cai, A., & Close, K. L. (2021). Health care disparities in use of continuous glucose monitoring. Diabetes Technology & Therapeutics, 23(S3), S81–S87. https://doi.org/10.1089/dia.2021.0268

Ji, C., Jiang, T., Liu, L., Zhang, J., & You, L. (2025). Continuous glucose monitoring combined with artificial intelligence: Redefining the pathway for prediabetes management. Frontiers in Endocrinology, 16, 1571362. https://doi.org/10.3389/fendo.2025.1571362

Joubert, M., Benhamou, P. Y., Schaepelynck, P., Hanaire, H., Catargi, B., Farret, A., Fontaine, P., Guerci, B., Reznik, Y., Jeandidier, N., Penfornis, A., Borot, S., Chaillous, L., Franc, S., Serusclat, P., Kherbachi, Y., Bavière, E., Detournay, B., Simon, P., & Charpentier, G. (2019). Remote monitoring of diabetes: A cloud-connected digital system for individuals with diabetes and their health care providers. Journal of Diabetes Science and Technology, 13(6), 1161–1168. https://doi.org/10.1177/1932296819834054

Kanbour, S., Jones, M., Abusamaan, M. S., Nass, C., Everett, E., Wolf, R. M., Sidhaye, A., & Mathioudakis, N. (2023). Racial disparities in access and use of diabetes technology among adult patients with type 1 diabetes in a U.S. academic medical center. Diabetes Care, 46(1), 56–64. https://doi.org/10.2337/dc22-1055

Kongdee, R., Parsia, B., Thabit, H., & Harper, S. (2025). Glucose interpretation meaning and action: Enhancing type 1 diabetes decision-making with textual descriptions. Therapeutic Advances in Endocrinology and Metabolism, 16, 20420188251362089. https://doi.org/10.1177/20420188251362089

Kulińska, B. (2021). Wdrażanie innowacji społecznych i technologicznych skierowanych do diabetyków [Niepublikowany manuskrypt]. ResearchGate. https://www.researchgate.net/publication/349762826

Leelarathna, L., Evans, M. L., Neupane, S., Rayman, G., Lumley, S., Cranston, I., Narendran, P., Barnard-Kelly, K., Sutton, C. J., Elliott, R. A., Taxiarchi, V. P., Gkountouras, G., Burns, M., Mubita, W., Kanumilli, N., Camm, M., Thabit, H., Wilmot, E. G., & FLASH-UK Trial Study Group. (2022). Intermittently scanned continuous glucose monitoring for type 1 diabetes. The New England Journal of Medicine, 387(16), 1477–1487. https://doi.org/10.1056/NEJMoa2205650

Manzoni, M., Minotti, D., Toletti, G., & Boaretto, A. (2025). Exploring usability metrics in continuous glucose monitoring systems: Insights from the voice of people with diabetes in Italy. Frontiers in Clinical Diabetes and Healthcare, 6, 1472471. https://doi.org/10.3389/fcdhc.2025.1472471

Martens, T., Beck, R. W., Bailey, R., Ruedy, K. J., Calhoun, P., Peters, A. L., Pop-Busui, R., Philis-Tsimikas, A., Bao, S., Umpierrez, G., Davis, G., Kruger, D., Bhargava, A., Young, L., McGill, J. B., Aleppo, G., Nguyen, Q. T., Orozco, I., Biggs, W., Lucas, K. J., … MOBILE Study Group. (2021). Effect of continuous glucose monitoring on glycemic control in patients with type 2 diabetes treated with basal insulin: A randomized clinical trial. JAMA, 325(22), 2262–2272. https://doi.org/10.1001/jama.2021.7444

Merton, R. K. (1968). The Matthew effect in science: The reward and communication systems of science are considered. Science, 159(3810), 56–63. https://doi.org/10.1126/science.159.3810.56

Mian, Z., Hermayer, K. L., & Jenkins, A. (2019). Continuous glucose monitoring: Review of an innovation in diabetes management. The American Journal of the Medical Sciences, 358(5), 332–339. https://doi.org/10.1016/j.amjms.2019.07.003

Miyazaki, B., Zeier, T., Barber, R. O. B., Espinoza, J. C., & Chao, L. C. (2024). Expansion of Medicaid coverage of continuous glucose monitor reduces health disparity in children and young adults with type 1 diabetes. Journal of Diabetes Science and Technology. Advance online publication. https://doi.org/10.1177/19322968241287217

Odugbesan, O. G., Jaser, S. S., Hood, K. K., Naranjo, D., Marzelli, M., Agarwal, S., Biersmith, L., Tellez, A., Miller, K. M., & Laffel, L. M. B. (2022). Implicit racial-ethnic and insurance mediated bias to recommending diabetes technology: Insights from T1D Exchange Multi-Center Pediatric and Adult Diabetes Provider Cohort. Diabetes Technology & Therapeutics, 24(9), 619–627. https://doi.org/10.1089/dia.2022.0042

Oser, T. K., Hall, T. L., Dickinson, L. M., Callen, E., Carroll, J. K., Nease, D. E., Jr., Michaels, L., & Oser, S. M. (2022). Continuous glucose monitoring in primary care: Understanding and supporting clinicians’ use to enhance diabetes care. Annals of Family Medicine, 20(6), 541–547. https://doi.org/10.1370/afm.2876

Parker, R., Goldbloom, E. B., Mitsakakis, N., Terekhov, I., & Zuijdwijk, C. (2022). Social determinants of health associated with patient portal use in pediatric diabetes. Canadian Journal of Diabetes, 46(6), 586–593. https://doi.org/10.1016/j.jcjd.2022.04.002

Patel, P. M., Thomas, D., Liu, Z., Aldrich-Renner, S., Clemons, M., & Patel, B. V. (2024). Systematic review of disparities in continuous glucose monitoring and insulin pump utilization in the United States: Key themes and evidentiary gaps. Diabetes, Obesity & Metabolism, 26(10), 4293–4301. https://doi.org/10.1111/dom.15774

Polskie Towarzystwo Diabetologiczne. (2023). Zalecenia Polskiego Towarzystwa Diabetologicznego dotyczące postępowania terapeutycznego oraz monitorowania glikemii u chorych na cukrzycę w pandemii COVID-19 i innych pandemiach wirusowych. https://ptdiab.pl/images/aktualnosci/Zalecenia_COVID-19.pdf

Riddell, M. C., Gallen, I. W., Smart, C. E., Taplin, C. E., Adolfsson, P., Lumb, A. N., Kowalski, A., Rabasa-Lhoret, R., McCrimmon, R. J., Hume, C., Annan, F., Fournier, P. A., Graham, C., Bode, B., Galassetti, P., Jones, T. W., Millán, I. S., Heise, T., Peters, A. L., Petz, A., … Laffel, L. M. (2017). Exercise management in type 1 diabetes: A consensus statement. The Lancet Diabetes & Endocrinology, 5(5), 377–390. https://doi.org/10.1016/S2213-8587(17)30014-1

Rodbard, D. (2017). Continuous glucose monitoring: A review of recent studies demonstrating improved glycemic outcomes. Diabetes Technology & Therapeutics, 19(S3), S25–S37. https://doi.org/10.1089/dia.2017.0035

Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

Roussel, R., Riveline, J. P., Vicaut, E., de Pouvourville, G., Detournay, B., Emory, J., Levrat-Guillen, F., & Guerci, B. (2021). Important drop in acute diabetes complications in people with type 1 or type 2 diabetes after initiation of Flash Glucose Monitoring in France: The RELIEF study. Diabetes Care, 44(6), 1368–1376. https://doi.org/10.2337/dc20-1690

Sabben, G., Telfort, C., Morales, M., et al. (2024). Technology and continuous glucose monitoring access, literacy, and use among patients at the diabetes center of an inner-city safety-net hospital: Mixed methods study. JMIR Diabetes, 9, e54223. https://doi.org/10.2196/54223

Sebastian-Valles, F., Martínez-Alfonso, J., Arranz Martin, J. A., et al. (2024). Impact of socioeconomic status on chronic control and complications of type 1 diabetes mellitus in users of glucose flash systems: A follow-up study. BMC Medicine, 22, 37. https://doi.org/10.1186/s12916-024-03254-w

Sieck, C. J., Sheon, A., Ancker, J. S., Castek, J., Callahan, B., & Siefer, A. (2021). Digital inclusion as a social determinant of health. NPJ Digital Medicine, 4(1), 52. https://doi.org/10.1038/s41746-021-00413-8

Smith, I. P., Whichello, C. L., Veldwijk, J., Rutten-van Mölken, M. P. M. H., Groothuis-Oudshoorn, C. G. M., Vos, R. C., & de Bekker-Grob, E. W. (2023). Diabetes patient preferences for glucose-monitoring technologies: Results from a discrete choice experiment in Poland and the Netherlands. BMJ Open Diabetes Research & Care, 11, e003025.

Tanenbaum, M. L., Adams, R. N., Hanes, S. J., Barley, R. C., Miller, K. M., Mulvaney, S. A., & Hood, K. K. (2017). Optimal use of diabetes devices: Clinician perspectives on barriers and adherence to device use. Journal of Diabetes Science and Technology, 11(3), 484–492. https://doi.org/10.1177/1932296816688010

Tatoń, J. (2009). Crucial problems of monitoring diabetes mellitus care quality – new targets and methods resulting from practice. Przewodnik Lekarza, 23–33. https://www.termedia.pl/Crucial-problems-of-monitoring-diabetes-mellitus-care-quality-8211-new-targets-and-methods-resulting-from-practice,8,12842,1,1.html

Thakur, M., Maurer, E. W., Tran, K. N., Tholkes, A., Rajamani, S., & Dwivedi, R. (2025). Enhancing health equity and patient engagement in diabetes care: Technology-aided continuous glucose monitoring pilot implementation project. JMIR Diabetes, 10, e68324. https://doi.org/10.2196/68324

van Dijk, J. (2020). The digital divide. Polity Press. https://doi.org/10.1002/asi.24355?urlappend=%3Futm_source%3Dresearchgate.net%26medium%3Darticle

Van Rhoon, L., McSharry, J., & Byrne, M. (2022). Development and testing of a digital health acceptability model to explain the intention to use a digital diabetes prevention programme. British Journal of Health Psychology, 27(3), 716–740. https://doi.org/10.1111/bjhp.12569

Vimalananda, V. G., Kragen, B., Leibowitz, A. J., et al. (2025). Determinants of implementation of continuous glucose monitoring for patients with insulin-treated type 2 diabetes: A national survey of primary care providers. BMC Primary Care, 26, 68. https://doi.org/10.1186/s12875-025-02764-7

Walker, R. J., Smalls, B. L., & Egede, L. E. (2015). Social determinants of health in adults with type 2 diabetes: Contribution of mutable and immutable factors. Diabetes Research and Clinical Practice, 110(2), 193–201. https://doi.org/10.1016/j.diabres.2015.09.007

Wallia, A., Agarwal, S., Owen, A. L., Lam, E. L., Davis, K., Bailey, S. C., DeLacey, S. E., Pack, A. P., Espinoza, J., Bright, D., Eggleston, A., Walter, E., & O'Brien, M. J. (2024). Disparities in continuous glucose monitoring among patients receiving care in federally qualified health centers. JAMA Network Open, 7(11), e2445316. https://doi.org/10.1001/jamanetworkopen.2024.45316

Ying, Z., Fan, Y., Chen, C., Liu, Y., Tang, Q., Chen, Z., Yang, Q., Yan, H., Wu, L., Lu, J., Liu, Z., Liu, J., Li, X., & Chen, Y. (2025). Real-time AI-assisted insulin titration system for glucose control in patients with type 2 diabetes: A randomized clinical trial. JAMA Network Open, 8(5), e258910. https://doi.org/10.1001/jamanetworkopen.2025.8910

Published

2025-12-26

How to Cite

BEYOND THE DATA: CONTINUOUS GLUCOSE MONITORING (CGM) TECHNOLOGIES, HEALTH EQUITY, AND THE DIGITAL DIVIDE IN DIABETES MANAGEMENT. A NARRATIVE REVIEW. (2025). International Journal of Innovative Technologies in Social Science, 4(4(48). https://doi.org/10.31435/ijitss.4(48).2025.4457