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Rumyantseva E.I.

Center for Expertise and Quality Control of Medical Care

Zheleznyakova I.A.

Center for Expertise and Quality Control of Medical Care;
Russian Medical Academy of Continuous Professional Education

Plakhotnik O.S.

Center for Expertise and Quality Control of Medical Care

Nikitin F.S.

Center for Expertise and Quality Control of Medical Care

Vakhrusheva T.S.

Center for Expertise and Quality Control of Medical Care

Avyaeva T.S.

Center for Expertise and Quality Control of Medical Care

Zuev A.V.

Center for Expertise and Quality Control of Medical Care;
Russian Medical Academy of Continuous Professional Education

Volkova O.A.

Center for Expertise and Quality Control of Medical Care

Agafonova Yu.A.

Center for Expertise and Quality Control of Medical Care

Fedyaev D.V.

Center for Expertise and Quality Control of Medical Care;
Russian Medical Academy of Continuous Professional Education;
Research Financial Institute

Avxentyeva M.V.

Center for Expertise and Quality Control of Medical Care;
Russian Medical Academy for Continuous Professional Education;
Research Financial Institute;
Sechenov First Moscow State Medical University

Omelyanovskiy V.V.

Center for Expertise and Quality Control of Medical Care;
Russian Medical Academy of Continuous Professional Education;
Research Financial Institute;
Semashko National Research Institute of Public Health

Changes in diagnosis-related group payment model in the Russian Federation in 2024

Authors:

Rumyantseva E.I., Zheleznyakova I.A., Plakhotnik O.S., Nikitin F.S., Vakhrusheva T.S., Avyaeva T.S., Zuev A.V., Volkova O.A., Agafonova Yu.A., Fedyaev D.V., Avxentyeva M.V., Omelyanovskiy V.V.

More about the authors

Journal: Medical Technologies. Assessment and Choice. 2024;46(2): 10‑21

DOI: 10.17116/medtech20244602110

Views: 1792

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Table of contents

CHANGES IN DIAGNOSIS-RELATED GROUP PAYMENT MODEL IN THE RUSSIAN FEDERATION IN 2024
CHANGES IN DIAGNOSIS-RELATED GROUP PAYMENT MODEL IN THE RUSSIAN FEDERATION IN 2024

To cite this article:

Rumyantseva EI, Zheleznyakova IA, Plakhotnik OS, et al. . Changes in diagnosis-related group payment model in the Russian Federation in 2024. Medical Technologies. Assessment and Choice. 2024;46(2):10‑21. (In Russ.)
https://doi.org/10.17116/medtech20244602110

 
 
Подписка 2025-2 (Medical Technologies. Assessment and Choice)
МСФ на ЯМ
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We actualized the content and/or weight coefficients of Russian diagnosis-related groups (DRG) for inpatient and day medical care payment. Costs of medicines were calculated using actual purchase prices. Thus the weight coefficients were recalculated for several DRG including admissions for antineoplastic therapy, chronic hepatitits C treatment and treatment with the use of genetically engineered biological drugs and selective immunosupressors. Three levels of patient treatment complexity coefficients were introduced to reimburse the cost of supportive therapy in oncology. Weight coefficients for payment for radionuclide therapy were recalculated. We actualized drug therapy regimens lists covered by DRG payment. It was made for antineoplastic therapy regimens and regimens of genetically engineered drugs and selective immunosuppressors. Charges for inpatient minimally invasive operations were increased via identifying 9 new groups. Payment approaches for immunization against respiratory syncytial infection were improved. The updated grouping algorithm of cases in oncology is described.

Keywords:

payment for medical care
diagnosis-related group
weight coefficient
classification criterion

Authors:

Rumyantseva E.I.

Center for Expertise and Quality Control of Medical Care

Zheleznyakova I.A.

Center for Expertise and Quality Control of Medical Care;
Russian Medical Academy of Continuous Professional Education

Plakhotnik O.S.

Center for Expertise and Quality Control of Medical Care

Nikitin F.S.

Center for Expertise and Quality Control of Medical Care

Vakhrusheva T.S.

Center for Expertise and Quality Control of Medical Care

Avyaeva T.S.

Center for Expertise and Quality Control of Medical Care

Zuev A.V.

Center for Expertise and Quality Control of Medical Care;
Russian Medical Academy of Continuous Professional Education

Volkova O.A.

Center for Expertise and Quality Control of Medical Care

Agafonova Yu.A.

Center for Expertise and Quality Control of Medical Care

Fedyaev D.V.

Center for Expertise and Quality Control of Medical Care;
Russian Medical Academy of Continuous Professional Education;
Research Financial Institute

Avxentyeva M.V.

Center for Expertise and Quality Control of Medical Care;
Russian Medical Academy for Continuous Professional Education;
Research Financial Institute;
Sechenov First Moscow State Medical University

Omelyanovskiy V.V.

Center for Expertise and Quality Control of Medical Care;
Russian Medical Academy of Continuous Professional Education;
Research Financial Institute;
Semashko National Research Institute of Public Health

Received:

01.04.2024

Accepted:

15.04.2024

List of references:

  1. Avxentyeva MV, Salakhutdinova SK. Clinical and statistical groups as a new method of payment for inpatient and inpatient replacement care in the Russian Federation. Lekarstvennyj vestnik. 2016;10(2):31-36. (In Russ.).
  2. Plakhotnik OS, Trifonova GV, Zheleznyakova IA, Mazurov AM, Volkova OA, Avyaeva TS, Zuev AV, Zueva YuS, Agafonova YuA, Sidorova EA, Lazareva ML, Fedyaev DV, Avxentyeva MV, Omelyanovskiy VV. Main changes in payment model for diagnosis-related groups in the Russian Federation in 2023. Medical Technologies. Assessment and Choice. 2023;45(2):8-22. (In Russ.). https://doi.org/10.17116/medtech2023450218
  3. Omelyanovskiy VV, Avxentyeva MV, Zheleznyakova IA, Zuev AV, Zueva YuS, Lazareva ML, Plakhotnik OS, Voskresenskaya YuA, Avyaeva TS. Main changes in the model of diagnosis-related groups in 2022. Medical Technologies. Assessment and Choice. 2022;44(2): 8-21. (In Russ.). https://doi.org/10.17116/medtech2022440218
  4. Omelyanovskiy VV, Avxentyeva MV, Zheleznyakova IA, Lazareva ML, Fedyaev DV, Zuev AV. Main changes in the model of diagnosis-related groups in 2021. Medical Technologies. Assessment and Choice. 2021;43(2):9-21. (In Russ.). https://doi.org/10.17116/medtech2021430219

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