Evaluation of the Long-Term Cost-Effectiveness of the Dexcom G6 Continuous Glucose Monitor versus Self-Monitoring of Blood Glucose in People with Type 1 Diabetes in Canada
Open accessAbstract
BACKGROUND: The Dexcom G6 real-time continuous glucose monitoring (RT-CGM) system is one of the most sophisticated RT-CGM systems developed to date and became available in Canada in 2019. A health economic analysis was performed to determine the long-term cost-effectiveness of the Dexcom G6 RT-CGM system versus SMBG in adults with type 1 diabetes (T1D) in Canada. METHODS: The analysis was performed using the IQVIA Core Diabetes Model. Based on clinical trial data, patients with mean baseline HbA1c of 8.6% were assumed to have a HbA1c reduction of 1.0% with RT-CGM versus 0.4% reduction with SMBG. RT-CGM was also associated with a quality of life (QoL) benefit owing to reduced incidence of hypoglycemia, reduced fear of hypoglycemia (FoH) and elimination of fingerstick testing. Direct medical costs were sourced from published literature, and inflated to 2019 Canadian dollars (CAD). RESULTS: Dexcom G6 RT-CGM was projected to improve mean quality-adjusted life expectancy by 2.09 quality-adjusted life years (QALYs) relative to SMBG (15.52 versus 13.43 QALYs) but mean total lifetime cots were CAD 35,353 higher with RT-CGM (CAD 227,357 versus CAD 192,004) resulting in an incremental cost-effectiveness ratio (ICER) of CAD 16,931 per QALY gained. Sensitivity analyses revealed that assumptions relating to the QoL benefit associated with reduced FoH and the elimination of fingerstick testing with RT-CGM as well as SMBG usage and change in HbA1c were the key drivers of cost-effectiveness. CONCLUSION: For adults with T1D in Canada, RT-CGM is associated with improved glycemic control and QoL benefits owing to a reduced FoH and elimination of the requirement for fingerstick testing and over a lifetime time horizon is cost-effective relative to SMBG.
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Insulin pump therapy and CGM reduce HbA1c, hypoglycaemia, diabetes burden and distress, and are associated with higher quality of life compared to usual care.
“Insulin pump therapy and continuous glucose monitor (CGM) reduce Haemoglobin A1c (HbA1c), hypoglycaemia, diabetes burden and distress, and are associated with higher quality of life (QOL) compared to usual care.”
From Social disadvantage and technology use among adults with type 1 diabetes in Quebec: A cross‐sectional study using data from the Canadian <scp>T1D</scp> ( <scp>BETTER</scp> ) Registry (2025) · cites this paper as [2]
The Methods (Simulation Cohort Characteristics and Treatment Effects; page unavailable) report lower HbA1c and hypoglycemia rates with CGM than with usual care using self-monitoring of blood glucose. The Methods (Costs and Health State Utilities; page unavailable) assign CGM a quality-of-life benefit associated with less fear of hypoglycemia and fewer fingerstick tests. The comparison concerns CGM in adults using multiple daily insulin injections, not insulin pump therapy, and does not establish reduced overall diabetes burden or distress. (LLM, conf=0.90)
Experimental — accuracy not yet measuredEconomic analyses generally support the cost-effectiveness of diabetes technologies owing to a reduction in hypoglycaemia and acute and chronic diabetes complications.
“While these technologies are expensive, economic analyses generally support their cost‐effectiveness owing to a reduction in hypoglycaemia and acute and chronic diabetes complications.”
From Social disadvantage and technology use among adults with type 1 diabetes in Quebec: A cross‐sectional study using data from the Canadian <scp>T1D</scp> ( <scp>BETTER</scp> ) Registry (2025) · cites this paper as [2]
The Results (page unavailable) report that Dexcom G6 was cost-effective versus self-monitoring for adults with type 1 diabetes in Canada; lower rates of severe hypoglycemia and long-term complications partly offset its higher device cost. The paper does not establish that diabetes technologies generally are cost-effective, and its Discussion describes an earlier Canadian analysis that reached a much less favorable cost-effectiveness estimate for continuous glucose monitors. (LLM, conf=0.86)
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Cites
Canadian Institute for Health Information.
Lalonde, A. (1994) · PubMed · Cited by 4,730 · see citing works
Beck, R. W., Riddlesworth, T., Ruedy, K., Ahmann, A., Bergenstal, R., Haller, S., Kollman, C., Kruger, D., McGill, J. B., Polonsky, W., et al. (2017) · JAMA · doi:10.1001/jama.2016.19975 · Cited by 1,185 · cited 11× · see citing works
“Overall, findings from long-term health economic analyses suggest that for adults with long-standing T1D based in Canada, the use of the Dexcom G6 RT-CGM system represents a cost-effective management option compared with SMBG.”
BackgroundMethodInfluentialPalmer, A. J., Roze, S., Valentine, W. J., Minshall, M. E., FOOS, V., Lurati, F. M., Lammert, M., & Spinas, G. A. (2004) · Current Medical Research and Opinion · doi:10.1185/030079904x1980 · Cited by 523 · see citing works
Self-citationMiller, K. M., Beck, R. W., Bergenstal, R. M., Goland, R. S., Haller, M. J., McGill, J. B., Rodriguez, H., Simmons, J. H., Hirsch, I. B., & for the T1D Exchange Clinic Network (2013) · Diabetes Care · doi:10.2337/dc12-1770 · Cited by 505 · see citing works
The relationship of hemoglobin A1C to time-in-range in patients with diabetes
Vigersky, R. A., & McMahon, C. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2018.0310 · Cited by 464 · see citing works
Continuous glucose monitoring: a review of recent studies demonstrating improved glycemic outcomes
Rodbard, D. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0035 · Cited by 458 · see citing works
Polonsky, W. H., Hessler, D., Ruedy, K. J., & Beck, R. W. (2017) · Diabetes Care · doi:10.2337/dc17-0133 · Cited by 346 · see citing works
Validation of the CORE Diabetes Model Against Epidemiological and Clinical Studies
Palmer, A. J., Rozea, S., Valentinea, W. J., Minshallb, M. E., Foosa, V., Luratia, F. M., Lammerta, M., & Spinasc, G. A. (2004) · Current Medical Research and Opinion · doi:10.1185/030079904x2006 · Cited by 283 · see citing works
Multivariate models of health-related utility and the fear of hypoglycaemia in people with diabetes
Currie, C. J., Morgan, C. L., Poole, C., Sharplin, P., Lammert, M., & McEwan, P. C. (2006) · Current Medical Research and Opinion · doi:10.1185/030079906x115757 · Cited by 278 · see citing works
Review of Utility Values for Economic Modeling in Type 2 Diabetes
Beaudet, A., Clegg, J., Thuresson, P.-O., Lloyd, A., & McEwan, P. C. (2014) · Value in Health · doi:10.1016/j.jval.2014.03.003 · Cited by 256 · see citing works
Hypoglycemia: An overview of fear of hypoglycemia, quality-of-life, and impact on costs
Fidler, C., Christensen, T., & Gillard, S. E. (2011) · Journal of Medical Economics · doi:10.3111/13696998.2011.610852 · Cited by 246 · see citing works
Šoupal, J., Petruželková, L., Grunberger, G., Hásková, A., Flekač, M., Matoulek, M., Mikeš, O., Pelcl, T., Škrha, J., Horová, E., et al. (2020) · Diabetes Care · doi:10.2337/dc19-0888 · Cited by 242 · see citing works
Validation of the IMS CORE Diabetes Model
McEwan, P. C., FOOS, V., Palmer, J. L., Lamotte, M., Lloyd, A., & Grant, D. J. W. (2014) · Value in Health · doi:10.1016/j.jval.2014.07.007 · Cited by 236 · see citing works
Martyn-Nemeth, P. A., Farabi, S. S., Mihailescu, D. V., Nemeth, J., & Quinn, L. (2015) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2015.09.003 · Cited by 168 · see citing works
Evans, M., Khunti, K. K., Mamdani, M., Galbo-Jørgensen, C. B., Gundgaard, J., Bøgelund, M., & Harris, S. B. (2013) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-11-90 · Cited by 168 · see citing works
Yale, J.-F., Paty, B., & Senior, P. A. (2018) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2017.10.010 · Cited by 105 · see citing works
Yoo, J. H., Choi, M. S., Ahn, J., Park, S. W., Kim, Y., Hur, K. Y., Jin, S., Kim, G., & Kim, J. H. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0499 · Cited by 102 · see citing works
Berard, L., Blumer, I. R., Houlden, R. L., Miller, D. B., & Woo, V. C. (2013) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2013.01.017 · Cited by 98 · see citing works
Puhr, S., Derdzinski, M., Welsh, J. B., Parker, A. S., Walker, T. C., & Price, D. A. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2018.0359 · Cited by 79 · see citing works
Guo, Q., Zang, P., Xu, S.-Y., Song, W., Zhang, Z., Liu, C., Guo, Z., Chen, J., Lu, B., Gu, P., et al. (2020) · Journal of Diabetes Research · doi:10.1155/2020/5817074 · Cited by 75 · see citing works
Welsh, J. B., Gao, P., Derdzinski, M., Puhr, S., Johnson, T. K., Walker, T. C., & Graham, C. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2018.0374 · Cited by 72 · see citing works
Berard, L. D., Siemens, R., & Woo, V. (2018) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2017.10.007 · Cited by 69 · see citing works
Riddlesworth, T., Price, D., Cohen, N., & Beck, R. W. (2017) · Diabetes Therapy · doi:10.1007/s13300-017-0281-4 · Cited by 65 · see citing works
Parkin, C. G., Graham, C., & Smolskis, J. M. (2017) · Journal of Diabetes Science and Technology · doi:10.1177/1932296817693253 · Cited by 58 · see citing works
Brod, M. I., Wolden, M. L., Christensen, T., & Bushnell, D. M. (2013) · Value in Health · doi:10.1016/j.jval.2013.09.002 · Cited by 57 · see citing works
Health State Utilities Associated with Glucose Monitoring Devices
Matza, L. S., Stewart, K. D., Davies, E. W., Hellmund, R., Polonsky, W. H., & Kerr, D. E. (2016) · Value in Health · doi:10.1016/j.jval.2016.10.007 · Cited by 44 · see citing works
Thokala, P., Kruger, J., Brennan, A., Basarir, H., Duenas, A., Pandor, A., Gillett, M., Elliott, J., & Heller, S. R. (2013) · Diabetic Medicine · doi:10.1111/dme.12371 · Cited by 39 · see citing works
Billings, L. K., Parkin, C. G., & Price, D. (2018) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2018.0163 · Cited by 39 · see citing works
Glycemic Management in Adults With Type 1 Diabetes
McGibbon, A., Adams, L., Ingersoll, K. S., Kader, T., & Tugwell, B. D. (2018) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2017.10.012 · Cited by 37 · see citing works
Aronson, R., Goldenberg, R., Boras, D., Skovgaard, R., & BAJAJ, H. S. (2017) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2017.01.007 · Cited by 33 · see citing works
Continuous Monitoring of Glucose for Type 1 Diabetes: A Health Technology Assessment.
(2018) · Europe PMC (PubMed Central) · Cited by 25 · see citing works
Chaugule, S., & Graham, C. (2017) · Journal of Medical Economics · doi:10.1080/13696998.2017.1360312 · Cited by 22 · see citing works
Houlden, R. L., Berard, L., Lakoff, J. M., Woo, V. C., & Yale, J. (2018) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2017.10.018 · Cited by 19 · see citing works
O’Reilly, D. J., Burke, N., Tarride, J., Hahn, J., & Nurkanovic, L. (2018) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2018.01.010 · Cited by 18 · see citing works
Brown, S. T., Grima, D., & Sauriol, L. (2014) · Clinical Therapeutics · doi:10.1016/j.clinthera.2014.07.019 · Cited by 15 · see citing works
The Sheffield Type 1 Diabetes Policy Model
Thokala, P., Kruger, J., Brennan, A., Basarir, H., Duenas, A., Pandor, A., Gillett, M., Elliot, J. P., & Heller, S. R. (2013) · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) · Cited by 8 · see citing works
Yale, J.-F. (2010) · Canadian Journal of Diabetes · doi:10.1016/s1499-2671(10)43006-3 · Cited by 7 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [21]Canadian Agency for Drugs and Technologies in Health. Optimal use recommendations forsecond and third-line therapy for patients with type 2 diabetes. Ottawa: The Agency; 2013. (CADTHoptimal use report; vol.3, no. 1d). Available from: https://www.cadth.ca/media/pdf/OP0512_Diabetes_RecsReport_2nd_3rd-line_e.pdf. Accessed 4 24, 2020.
- [25]Canadian Agency for Drugs and Technologies in Health. Guidelines for the economic evaluation of health technologies 4th edition; 3 2017. Available from: https://www.cadth.ca/sites/default/files/pdf/guidelines_for_the_economic_evaluation_of_health_technologies_canada_4th_ed.pdf. Accessed 4 23, 2020.
Cited by
Sorted by citations
Jiao, Y., Lin, R., Hua, X., Churilov, L. P., Gaca, M., James, S., Clarke, P., O'Neal, D. N., & Ekinci, E. I. (2022) · Endocrinology Diabetes & Metabolism · doi:10.1002/edm2.369 · Cited by 61 · see citing works
Rotondi, M. A., Wong, O. C. Y., Riddell, M. C., & Perkins, B. A. (2022) · Diabetes Care · doi:10.2337/dc21-2341 · Cited by 24 · see citing works
Lewis, D. M., Oser, T. K., & Wheeler, B. J. (2023) · BMJ · doi:10.1136/bmj-2022-072420 · Cited by 13 · see citing works
Harris, S., Cimino, S., Nguyen, Y., Szafranski, K., & Poon, Y. (2025) · Diabetes Therapy · doi:10.1007/s13300-024-01677-5 · Cited by 12 · see citing works
Khodabandehloo, P., Fakembe, P., Senga, J., Shulman, R., Lipscombe, L. L., Witteman, H. O., Banerjee, A., Presseau, J., Nakhla, M., Dogba, M. J., et al. (2025) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.16426 · Cited by 6 · see citing works
Visser, M. M., Muylder, A. V., Charleer, S., Isitt, J. J., Roze, S., Block, C. E. M. D., Maes, T., Vanhaverbeke, G., Nobels, F. R. E., Keymeulen, B., et al. (2024) · Diabetologia · doi:10.1007/s00125-023-06084-2 · Cited by 6 · see citing works
Self-citationPersonalized Digital Health Beyond the Pandemic
Hsu, J. (2022) · The Journal for Nurse Practitioners · doi:10.1016/j.nurpra.2022.04.022 · Cited by 6 · see citing works
de Jong, L. A., Li, X., Emamipour, S., van der Werf, S., Postma, M. J., van Dijk, P. R., & Feenstra, T. (2024) · PharmacoEconomics · doi:10.1007/s40273-024-01388-6 · Cited by 4 · see citing works
Willis, M. S., Nilsson, A., Alshannaq, H. A., Matuoka, J. Y., & Norman, G. J. (2025) · Journal of Comparative Effectiveness Research · doi:10.57264/cer-2025-0125 · Cited by 3 · see citing works
Heitkemper, E., Wilcox, G. B., Zuniga, J. A., Kim, M. T., & Cuevas, H. E. (2023) · The Science of Diabetes Self-Management and Care · doi:10.1177/26350106231158828 · Cited by 3 · see citing works
Diab, Y. H., Saade, G. A., & Kawakita, T. (2024) · American Journal of Obstetrics & Gynecology MFM · doi:10.1016/j.ajogmf.2024.101413 · Cited by 3 · see citing works
Chan, J., JACKSON, N. J., Rebollar, A. G., Santana, C., de la Garza, G. P., Moin, T., Yee, J. K., & Everett, E. M. (2025) · Diabetes Care · doi:10.2337/dc24-2224 · Cited by 2 · see citing works
Chu, L., & Abitbol, A. (2025) · Diabetic Medicine · doi:10.1111/dme.70119 · Cited by 1 · see citing works
Perfilando la tecnología en diabetes
Gómez, N. B., Jiménez-Salazar, S., Delgado, M. R., Botero, J. F., & Rincón, A. R. (2024) · Revista Colombiana de Endocrinología Diabetes & Metabolismo · doi:10.53853/encr.11.1.852
Paul, R. G., Matuoka, J. Y., Alshannaq, H. A., Pollock, R. F., & Norman, G. J. (2026) · Diabetes Obesity and Metabolism · doi:10.1111/dom.70593
- Authors
- Roze, S., Isitt, J. J., Smith-Palmer, J., & Lynch, P.
- Affiliations
- Dexcom (United States) (US)
- Venue
- ClinicoEconomics and Outcomes Research
- Publisher
- Informa UK Limited
- Published
- 2021-08
- Volume
- Volume 13
- Pages
- 717-725
- ISSN
- 1178-6981 (ISSN-L)
- PMC
- PMC8366033
- OpenAlex
- W3193000380
- Cited by
- 15
- References
- 37
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 5 · 2023: 2 · 2022: 3
- FWCI
- 1.87
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- ClinicoEconomics and Outcomes Research (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Dove Medical Press (Taylor and Francis Group) (submittedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Dexcom
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- Dexcom G6, continuous glucose monitoring, type 1 diabetes, self-monitoring of blood glucose, cost-effectiveness, hypoglycemia, fear of hypoglycemia, quality-adjusted life years, HbA1c, quality of life, lifetime costs
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