Oncology calculator as a tool for optimizing drug provision for patients with malignant neoplasms in the subjects of the Russian Federation

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Abstract

Introduction. The increase in financial resources on the part of the state for the procurement of medicines for treating patients with malignant neoplasms makes the issue of calculation the need in medicinal preparations (MP) actual.

The aim of the work is to develop a special tool (oncology calculator) that standardizes the method for determining the need for drugs and can calculate the need for medications for the treatment of malignant neoplasms in a particular constituent entity of the Russian Federation.

Material and methods. To develop an oncology calculator, we analyzed the need for the drugs for the treatment of patients with the most common malignant neoplasms was analyzed based on current clinical guidelines approved and published on the Ministry of the Russian Federation website. The number of patients at each stage of a specific cancer was calculated. The frequency of application of a particular treatment regimen was calculated based on the approved standards of medical care for patients with cancer or from a project. The number of patients was calculated on the official statistics presented in the P.A. Hertsen Moscow Oncological Research Institute — branch of the Federal State Budgetary Institution “National Medical Research Center of Radiology” by the Ministry of Health of Russia. 

Results. We have developed a tool called the “Oncology calculator” that standardizes the methodology for determining the need of a constituent entity of the Russian Federation or a medical institution for drugs based on clinical guidelines, as well as facilitating the planning of the volume of medical care in the conditions of round-the-clock and day hospitals, and in the provision of medical care to patients with malignant neoplasms in outpatient settings.

Conclusion. The existing approaches to calculating the need for drugs for the treatment of patients with cancer in the constituent entities of the Russian Federation are scattered, which leads to the ineffective use of funds from the federal budget, compulsory medical insurance funds, budgets of the constituent entities of the Russian Federation. A uniform approach to calculating the need for drugs to treat malignant neoplasms should be based on clinical guidelines containing drug regimens for treating patients.

About the authors

Sergey A. Linnik

N.A. Semashko National Research Institute of Public Health

Author for correspondence.
Email: linnik2001@mail.ru
ORCID iD: 0000-0002-0538-5400

PhD, senior researcher of N.A. Semashko National Research Institute of Public Health, Moscow, 105064, Russian Federation.

e-mail: linnik2001@mail.ru

Russian Federation

Elena E. Tumenko

N.A. Semashko National Research Institute of Public Health

Email: noemail@neicon.ru
ORCID iD: 0000-0001-5097-3722
Russian Federation

References

  1. Kaprin A.D., Starinskiy V.V., Shakhzadova A.O., eds. The State of Cancer for the Russia’s Population in 2019 [Sostoyanie onkologicheskoy pomoshchi naseleniyu Rossii v 2019 godu]. Moscow; 2020. (in Russian)
  2. Kaprin A.D., Starinskiy V.V., Shakhzadova A.O., eds. Malignant Neoplasms in Russia in 2019 [Zlokachestvennye novoobrazovaniya v Rossii v 2019 godu]. Moscow; 2020. (in Russian)
  3. Mouraov A.G., Mustafaeva D.G., Morgoeva A.D. Application of information technologies in the process of forecasting the need for preferential drug provision. In: Proceedings of I International Science and Practice Conference «Modern Trends of Development of Information Technology in Scientific Research and Applied Fields» [Sbornik dokladov I Mezhdunarodnoy nauchno-prakticheskoy konferentsii «Sovremennye tendentsii razvitiya informatsionnykh tekhnologiy v nauchnykh issledovaniyakh i prikladnykh oblastyakh»]. Vladikavkaz; 2020: 188–91. (in Russian)
  4. Morozov V.A. Development software for forecasting the demand for medicines. In: Proceedings of I International Science and Practice Conference «Modern Methods of Intellectual Analyses in Economic, Humanitarian and Natural Scientific Research» [Materialy mezhdunarodnoy nauchno-prakticheskoy konferentsii «Sovremennye metody intellektual’nogo analiza dannykh v ekonomicheskikh, gumanitarnykh i estestvennonauchnykh issledovaniyakh»]. Pyatigorsk; 2016: 261–5. (in Russian)
  5. Mustafaeva D.G., Morgoeva A.D. Forecasting as a way to determine the need for preferential drug provision. In: Proceedings of I Russian Science and Practice Conference «Achievements and Applications of Modern Informatics, Mathematics and Physics» [Materialy VIII Vserossiyskoy nauchno-prakticheskoy zaochnoy konferentsii «Dostizheniya i prilozheniya sovremennoy informatiki, matematiki i fiziki»]. Ufa; 2019: 212–20. (in Russian)
  6. Melnikova O.A. Model of prognosing the need for non-food products: on the example of drugs. Nauchnye vedomosti belgorodskogo gosudarstvennogo universiteta. Seriya: Ekonomika. Informatika. 2018; 45(1): 86–92. https://doi.org/10.18413/2411-3808-2018-45-1-86-92 (in Russian)
  7. Morgoeva A.D. Forecasting the need for predictive drugs using machine learning methods. In.: Proceedings of I Russian Science and Practice Conference «Mathematic Models of Techniques, Technologies and Economic» [Materialy Vserossiyskoy nauchno-prakticheskoy konferentsii «Matematicheskie modeli tekhniki, tekhnologiy i ekonomiki»]. St. Petersburg; 2020: 70–3. (in Russian)
  8. Kaminskaya I.A. Calculation of the need as one of the factors of making the availability of narcotic and psychotropic drugs for medical purposes. Novaya nauka: opyt, traditsii, innovatsii. 2016; (10-2): 130–2. (in Russian)
  9. Zotov A.V., Yugay M.T. Drug provision management in state medical organizations. Vestnik Roszdravnadzora. 2017; (2): 31–8. (in Russian)
  10. Kosyakova N.V. Development of methodical bases for electronic software product, by definition, needs for medicines for patients with orphan diseases. Mezhdunarodnyy zhurnal prikladnykh i fundamental’nykh issledovaniy. 2018; (9): 40–5. (in Russian)

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