Regional experience in drug provision for patients with metastatic melanoma: a retrospective analysis of government procurement in Moscow region

Objective. To conduct a pharmacoepidemiologic and pharmacoeconomic analysis of government procurement of drugs for the treatment of metastatic melanoma (MM) in Moscow region during 2020–2022, assessing the compliance of real clinical practice with current recommendations and identifying opportunities to optimize drug provision for patients. Materials and methods. A retrospective pharmacoepidemiologic analysis of data on government procurement of key drugs used in the treatment of metastatic MM for the period 2020–2022 in Moscow region was performed, followed by a cost analysis. The analysis included 17 INNs: vemurafenib, vinblastine, dabrafenib, dacarbazine, imatinib, interferon alfa-2b, ipilimumab, carboplatin, cobimetinib, lomustine, nivolumab, paclitaxel, pembrolizumab, prolgolimab, temozolomide, trametinib, and cisplatin. The number of customers, trade names, dosage forms and packaging, number of packages purchased, cost per package, and total costs were analyzed. The average cost per 1 mg of active substance was separately evaluated over time. The results were processed using MS Excel 2019 and presented as absolute values and percentages. Results. Data from the procurement information system (https://zakupki.gov.ru) for 2020–2022 were analyzed, covering 1,831 government procurements of 17 INNs used for MM treatment in Moscow region healthcare facilities (622 in 2020, 686 in 2021, 523 in 2022). Total expenditure for the 17 INNs amounted to 4.8 billion rubles for the entire 2020–2022 period (1.3 billion in 2020, 1.8 billion in 2021, 1.7 billion rubles in 2022), with an increase in expenditure of more than 30 %. The cost structure was dominated by 3 INNs throughout the analyzed period — dabrafenib, nivolumab, and pembrolizumab, accounting for an average of 76.5 % of all expenses. During 2020–2022, pembrolizumab was the absolute leader (accounting for 39.2 % of purchases in 2020, 33.3 % in 2021, and 35.2 % in 2022), with cost growth of 1.2 times. Regarding the average cost per 1 mg of active substance, the most expensive MM treatments were: ipilimumab, trametinib, pembrolizumab, prolgolimab, and nivolumab. Over the 3-year period, among these INNs, only ipilimumab showed an increase in the average cost per 1 mg (+18.6 %), while prolgolimab showed a significant decrease (–17.2 %). When comparing different healthcare settings, there is a clear trend toward decreasing numbers of patients receiving oral targeted therapies in inpatient settings, while in outpatient settings the number of patients significantly increases, especially evident for the combination of dabrafenib and trametinib. Conclusions. Our study is the first example of a comprehensive pharmacoepidemiologic and pharmacoeconomic analysis covering various aspects of drug provision for patients with metastatic MM — government procurement, provision within preferential drug supply programs, and specialized medical care in hospital settings. The research results create an information base for making clinically and economically sound healthcare decisions, which can be used in developing regional oncology service programs, planning drug procurement, and improving the drug supply system for patients with metastatic MM.

Authors

Institutions

Publication Details

Journal
Kachestvennaya Klinicheskaya Praktika = Good Clinical Practice
Published
2025-09-29
DOI
https://doi.org/10.37489/2588-0519-2025-3-17-34
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Regional experience in drug provision for patients with metastatic melanoma: a retrospective analysis of government procurement in Moscow region

И. С. Крысанов, В. С. Крысанова, Е. В. Макарова, K. А. Kokushkin et al.
Kachestvennaya Klinicheskaya Praktika = Good Clinical Practice
Computational Drug Discovery Methods
article

Regional experience in drug provision for patients with metastatic melanoma: a retrospective analysis of government procurement in Moscow region

И. С. Крысанов, В. С. Крысанова, Е. В. Макарова, K. А. Kokushkin, A. V. Snegovoy, М. В. Журавлева
article en

Abstract

Objective. To conduct a pharmacoepidemiologic and pharmacoeconomic analysis of government procurement of drugs for the treatment of metastatic melanoma (MM) in Moscow region during 2020–2022, assessing the compliance of real clinical practice with current recommendations and identifying opportunities to optimize drug provision for patients. Materials and methods. A retrospective pharmacoepidemiologic analysis of data on government procurement of key drugs used in the treatment of metastatic MM for the period 2020–2022 in Moscow region was performed, followed by a cost analysis. The analysis included 17 INNs: vemurafenib, vinblastine, dabrafenib, dacarbazine, imatinib, interferon alfa-2b, ipilimumab, carboplatin, cobimetinib, lomustine, nivolumab, paclitaxel, pembrolizumab, prolgolimab, temozolomide, trametinib, and cisplatin. The number of customers, trade names, dosage forms and packaging, number of packages purchased, cost per package, and total costs were analyzed. The average cost per 1 mg of active substance was separately evaluated over time. The results were processed using MS Excel 2019 and presented as absolute values and percentages. Results. Data from the procurement information system (https://zakupki.gov.ru) for 2020–2022 were analyzed, covering 1,831 government procurements of 17 INNs used for MM treatment in Moscow region healthcare facilities (622 in 2020, 686 in 2021, 523 in 2022). Total expenditure for the 17 INNs amounted to 4.8 billion rubles for the entire 2020–2022 period (1.3 billion in 2020, 1.8 billion in 2021, 1.7 billion rubles in 2022), with an increase in expenditure of more than 30 %. The cost structure was dominated by 3 INNs throughout the analyzed period — dabrafenib, nivolumab, and pembrolizumab, accounting for an average of 76.5 % of all expenses. During 2020–2022, pembrolizumab was the absolute leader (accounting for 39.2 % of purchases in 2020, 33.3 % in 2021, and 35.2 % in 2022), with cost growth of 1.2 times. Regarding the average cost per 1 mg of active substance, the most expensive MM treatments were: ipilimumab, trametinib, pembrolizumab, prolgolimab, and nivolumab. Over the 3-year period, among these INNs, only ipilimumab showed an increase in the average cost per 1 mg (+18.6 %), while prolgolimab showed a significant decrease (–17.2 %). When comparing different healthcare settings, there is a clear trend toward decreasing numbers of patients receiving oral targeted therapies in inpatient settings, while in outpatient settings the number of patients significantly increases, especially evident for the combination of dabrafenib and trametinib. Conclusions. Our study is the first example of a comprehensive pharmacoepidemiologic and pharmacoeconomic analysis covering various aspects of drug provision for patients with metastatic MM — government procurement, provision within preferential drug supply programs, and specialized medical care in hospital settings. The research results create an information base for making clinically and economically sound healthcare decisions, which can be used in developing regional oncology service programs, planning drug procurement, and improving the drug supply system for patients with metastatic MM.

Kachestvennaya Klinicheskaya Praktika = Good Clinical Practice(3)
Sechenov University (RU), Russian New University (RU), Pirogov Russian National Research Medical University (RU)
Openalex Percentile: Top 72%
Computational Drug Discovery Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.