Analysis of compulsory health insurance tariffs for pathological studies in the Russian Federation regions of the Siberian federal district
Year: 2025
Type: article
Abstract: Introduction. For managers of medical organizations and pathologists, information about payment for pathological studies is important. However, its comparative analysis is difficult due to the cumbersome nature and different structure of the relevant Tariff Agreements in the RF regions. The purpose of the study: perform a comparative analysis of tariffs for payment for pathological studies of biopsy (surgical) material at the expense of compulsory medical insurance funds specified in the Tariff Agreements of the Irkutsk Region for the period 2021–2024, as well as the corresponding tariffs for 2024 in the RF regions the Siberian Federal District. Materials and methods. Tariff agreements of the Irkutsk region for 2021–2024, and the RF of regions of the Siberian Federal District for 2024 are analyzed. The tariffs for pathological studies were calculated taking into account differentiation coefficients. Results. Starting from 2022, the number of tariffs for pathological studies in the Tariff Agreement of the Irkutsk Region has decreased to 45, however, tariffs have appeared that take into account the category of complexity of the material, and there has also been an average threefold increase in the value of tariffs. In 2024, tariffs were indexed by another 4.5%. However, tariffs for pathological studies, taking into account the category of complexity of the material, in the Irkutsk region are the lowest among the RF regions of the Siberian Federal District. In the considered RF regions, the lists and values of these tariffs differ significantly. Conclusion. Pathological services of the RF regions of the Siberian Federal District operate in very different economic conditions and use different approaches to paying for pathological studies using compulsory medical insurance funds.
Source: Public Health
Institution: Irkutsk State Medical University
Language: English
Subfield: Finance
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409603558