Cost-Effectiveness Analysis of a Hybrid Closed-Loop System Versus Multiple Daily Injections and Capillary Glucose Testing for Adults with Type 1 Diabetes
Abstract
Background: Hybrid closed-loop systems may offer improved HbA1c levels, more time-in-range, and less hypoglycemia than alternative treatment strategies. However, it is unclear if glycemic improvements offset this technology's higher acquisition costs. Among adults with type 1 diabetes in Australia, we sought to evaluate the cost-effectiveness of a hybrid closed-loop system in comparison with the current standard of care, comprising insulin injections and capillary glucose testing. Methods: Cost-effectiveness analysis was performed using decision analysis in combination with a Markov model to simulate disease progression in a cohort of adults with type 1 diabetes and compare the downstream health and economic consequences of hybrid closed-loop therapy versus current standard of care. Transition probabilities and utilities were sourced from published studies. Costs were considered from the perspective of the Australian health care system. A lifetime horizon was considered, with annual discount rates of 5% applied to future costs and outcomes. Uncertainty was assessed with probabilistic and deterministic sensitivity analyses. Results: Use of a hybrid closed-loop system resulted in an incremental cost-effectiveness ratio of Australian dollars (AUD) 37,767 per quality-adjusted life year (QALY) gained. This is below the traditionally cited willingness to pay a threshold of $50,000 per QALY gained in the Australian setting. Sensitivity analyses that varied baseline glycemic control,…
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Multiple analyses have demonstrated the cost-effectiveness of AID, driven by significant reductions in diabetes-related complications.
“Multiple analyses have demonstrated the cost‐effectiveness of AID, driven by significant reductions in diabetes‐related complications.”
Cites
Economic costs of diabetes in the U.S. in 2007
American Diabetes Association (2008) · Diabetes Care · doi:10.2337/dc08-9017 · Cited by 1,323 · see citing works
Six-Month Randomized, Multicenter Trial of Closed-Loop Control in Type 1 Diabetes
Brown, S. A., Kovatchev, B. P., Raghinaru, D., Lum, J. W., Buckingham, B. A., Kudva, Y. C., Laffel, L. M., Levy, C. J., Pinsker, J. E., Wadwa, R. P., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1907863 · Cited by 1,030 · see citing works
The Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) Study Research Group (2016) · Diabetes Care · doi:10.2337/dc15-1990 · Cited by 712 · see citing works
Safety of a hybrid closed-loop insulin delivery system in patients with type 1 diabetes
Bergenstal, R. M., Garg, S., Weinzimer, S. A., Buckingham, B. A., Bode, B. W., Tamborlane, W. V., & Kaufman, F. R. (2016) · JAMA · doi:10.1001/jama.2016.11708 · Cited by 644 · see citing works
Garg, S. K., Weinzimer, S. A., Tamborlane, W. V., Buckingham, B. A., Bode, B. W., Bailey, T. S., Brazg, R. L., Ilany, J., Slover, R. H., Anderson, S. M., et al. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2016.0421 · Cited by 585 · see citing works
Tauschmann, M., Thabit, H., Bally, L., Allen, J. M., Hartnell, S., Wilinska, M. E., Ruan, Y., Sibayan, J., Kollman, C., Cheng, P., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31947-0 · Cited by 440 · see citing works
Khunti, K., Alsifri, S., Aronson, R., Cigrovski Berković, M., Enters‐Weijnen, C., Forsén, T., Galstyan, G., Geelhoed‐Duijvestijn, P., Goldfracht, M., Gydesen, H., et al. (2016) · Diabetes Obesity and Metabolism · doi:10.1111/dom.12689 · Cited by 276 · see citing works
Benhamou, P.-Y., Franc, S., Reznik, Y., Thivolet, C., Schaepelynck, P., Renard, E., Guerci, B., Chaillous, L., Lukas-Croisier, C., Jeandidier, N., et al. (2019) · The Lancet Digital Health · doi:10.1016/s2589-7500(19)30003-2 · Cited by 217 · see citing works
Estimating the Cost of Type 1 Diabetes in the U.S.: A Propensity Score Matching Method
Tao, B., Pietropaolo, M., Atkinson, M., Schatz, D., & Taylor, D. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011501 · Cited by 197 · see citing works
7. Diabetes Technology: <i>Standards of Medical Care in Diabetes—2019</i>
American Diabetes Association (2019) · Diabetes Care · doi:10.2337/dc19-s007 · Cited by 179 · see citing works
Cederholm, J., Eeg-Olofsson, K., Eliasson, B., Zethelius, B., Gudbjörnsdottir, S., & Register, O. B. O. T. S. N. D. (2011) · Diabetic Medicine · doi:10.1111/j.1464-5491.2011.03342.x · Cited by 90 · see citing works
Ratzki-Leewing, A., Harris, S. B., Mequanint, S., Reichert, S. M., Belle Brown, J., Black, J. E., & Ryan, B. L. (2018) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2017-000503 · Cited by 90 · see citing works
Anderson, S. M., Buckingham, B. A., Breton, M. D., Robic, J. L., Barnett, C. L., Wakeman, C. A., Oliveri, M. C., Brown, S. A., Ly, T. T., Clinton, P. K., et al. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0018 · Cited by 68 · see citing works
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9. Pharmacologic Approaches to Glycemic Treatment: Standards of Care in Diabetes—2025
American Diabetes Association Professional Practice Committee, ElSayed, N. A., McCoy, R. G., Aleppo, G., Bajaj, M., Balapattabi, K., Beverly, E. A., Briggs Early, K., Bruemmer, D., Echouffo-Tcheugui, J. B., et al. (2025) · Diabetes Care · doi:10.2337/dc25-s009 · Cited by 728 · see citing works
Phillip, M., Nimri, R., Bergenstal, R. M., Barnard-Kelly, K., Danne, T., Hovorka, R., Kovatchev, B. P., Messer, L. H., Parkin, C. G., Ambler-Osborn, L., et al. (2023) · Endocrine Reviews · doi:10.1210/endrev/bnac022 · Cited by 443 · see citing works
Mathieu, C., Ahmed, W., Gillard, P., Cohen, O., Vigersky, R., de Portu, S., & Ozdemir Saltik, A. Z. (2024) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0438 · Cited by 16 · 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
“42,43 It is imperative that policymakers prioritize universal public funding for both insulin pumps and CGM to ensure equitable access to AID.”
- Authors
- Pease, A., Zomer, E., Liew, D., Earnest, A., Soldatos, G., Ademi, Z., & Zoungas, S.
- Affiliations
- Monash Health (AU)
- Monash University (AU)
- Alfred Health (AU)
- Corresponding author
- Zoungas, Sophia
- Venue
- Diabetes Technology & Therapeutics
- Publisher
- SAGE Publications
- Published
- 2020-11
- Volume
- 22
- Issue
- 11
- Pages
- 812-821
- ISSN
- 1520-9156 (ISSN-L)
- 1557-8593
- OpenAlex
- W3019470381
- Cited by
- 39
- References
- 13
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 5 · 2023: 2 · 2022: 11 · 2021: 10 · 2020: 1
- FWCI
- 4.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes Technology & Therapeutics (publishedVersion)
- PubMed (publishedVersion)
- 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
- type 1 diabetes, hybrid closed-loop system, insulin pump therapy, multiple daily insulin injections, cost-effectiveness, quality-adjusted life years, glycemic control, hypoglycemia, adults
- MeSH terms
- Adult, Australia, Blood Glucose, Cost-Benefit Analysis, Diabetes Mellitus, Type 1, Humans, Insulin, Insulin Infusion Systems, Quality-Adjusted Life Years
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