Cost-effectiveness analysis of remote glycemic monitoring in patients with diabetes mellitus in the Russian Federation

Objective. To evaluate clinical and economic effectiveness of remote glycemic monitoring (RGM) in patients with type 1 and type 2 diabetes mellitus (DM) receiving non-insulin therapy in the Russian Federation. Material and methods. Cost-effectiveness analysis implied comparison of RGM with routine monitoring of adults with DM. Direct medical costs for treating DM and its complications were estimated in Markov model. Life-years saved was used as effectiveness criterion. The incremental cost-effectiveness ratio (ICER) was calculated in rubles per year of life saved for RGM compared with routine monitoring. ICER was compared with willingness-to-pay threshold equal to three times the per capita gross domestic product for 2024. The modeling time horizon was 5 years. Results. ICER for DM relative to routine practice was RUB 3.135.234.88 per life-year gained in patients with type 2 diabetes receiving non-insulin therapy, and RUB 3.146.031.73 per life-year gained in patients with type 1 diabetes that is below willingness-to-pay threshold (RUB 4.129.433.70). Conclusion. Cost-effectiveness analysis demonstrates clinical and economic effectiveness of RGM in patients with type 1 and type 2 diabetes receiving non-insulin therapy over a 5-year period.

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Publication Details

Journal
Medical Technologies Assessment and Choice
Published
2026-03-17
DOI
https://doi.org/10.17116/medtech20264801192
Primary Topic
Diabetes Management and Research
Type
article
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article

Cost-effectiveness analysis of remote glycemic monitoring in patients with diabetes mellitus in the Russian Federation

D.V. Fedyaev, OA Sukhorukikh, I.A. Zheleznyakova, V. Ryagina et al.
Medical Technologies Assessment and Choice
Diabetes Management and Research
article

Cost-effectiveness analysis of remote glycemic monitoring in patients with diabetes mellitus in the Russian Federation

D.V. Fedyaev, OA Sukhorukikh, I.A. Zheleznyakova, V. Ryagina, V.V. Omelyanovskiy, Natalia Mokrysheva, E. A. Solyanik, L.I. Ibragimova
article en

Abstract

Objective. To evaluate clinical and economic effectiveness of remote glycemic monitoring (RGM) in patients with type 1 and type 2 diabetes mellitus (DM) receiving non-insulin therapy in the Russian Federation. Material and methods. Cost-effectiveness analysis implied comparison of RGM with routine monitoring of adults with DM. Direct medical costs for treating DM and its complications were estimated in Markov model. Life-years saved was used as effectiveness criterion. The incremental cost-effectiveness ratio (ICER) was calculated in rubles per year of life saved for RGM compared with routine monitoring. ICER was compared with willingness-to-pay threshold equal to three times the per capita gross domestic product for 2024. The modeling time horizon was 5 years. Results. ICER for DM relative to routine practice was RUB 3.135.234.88 per life-year gained in patients with type 2 diabetes receiving non-insulin therapy, and RUB 3.146.031.73 per life-year gained in patients with type 1 diabetes that is below willingness-to-pay threshold (RUB 4.129.433.70). Conclusion. Cost-effectiveness analysis demonstrates clinical and economic effectiveness of RGM in patients with type 1 and type 2 diabetes receiving non-insulin therapy over a 5-year period.

Medical Technologies Assessment and ChoiceVol. 48(1)
Leidos (United States) (US), Financial Research Institute of the Ministry of Finance of the Russian Federation (RU), Russian Medical Academy of Continuous Professional Education (RU), National Research Institute of Public Health named after N.A. Semashko (RU), Federal State Budgetary Institution "Center for Expertise and Quality Control of Medical Care" (RU)
Openalex Percentile: Top 20%
Diabetes Management and Research
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Cost-effectiveness analysis of remote glycemic monitoring in patients with diabetes mellitus in the Russian Federation — D.V. Fedyaev, OA Sukhorukikh, et al. · Medical Technologies Assessment and Choice (2026) | TGRS Research Map | TGRS