Introduction. The economic aspects of providing cancer care to the public attract increasing attention of scientists, economists, physicians and other healthcare professionals. Currently, the healthcare economics of oncological institutions is defined as part of the national economy that implements cancer care programs and provide a wide range of medical and pharmaceutical services to the public.Aim. The study was conducted as part of the program for improvement of financial spending in order to facilitate cancer care for Moscow residents. The aim of this study was to identify the crucial areas of the cost analysis and thus improve the public health service.Materials and methods. We used the methodology of targeted and consistent search of the literature. The data search and analysis was carried out using the US National Medical Library (PubMed database), National Electronic Library (e-LIBRARY, Russia), and other Internet resources. Whenever possible, articles on the most common and socially significant types of cancer (breast, colon, prostate, lung etc.) were selected. In addition, we focused on significant studies conducted either on the national or international level.Results and discussion. In principle, the structure of total costs is determined by the health policy regarding the cancer care system. Six main areas of oncological care that require careful economic analysis have been identified: those are prevention, oncoscreening, diagnosis, treatment, rehabilitation, and palliative care. In order to implement the economic goals of the healthcare system, the cost of cancer treatment should be discussed. The relevant programs are expected to be based on 1) prevalence and incidence; 2) impact on health; 3) results of the integrative methodological approach to cancer treatment; 4) implementation of comprehensive measures of medical and social assistance; 5) use of financial mechanisms and their impact on economic indicators.Conclusion. The set of measures related to the direct costs as identified in this study include the development, planning and provision of cancer care. These specific features of the direct cost analysis are important for organizing medical care in oncological institutions.

Objectives: Primary-Progredient Multiple Sclerosis (PPMS) is an indication in which, until recently, only the best supportive therapy (BSC) was used. Drugs used in highly active remitting multiple sclerosis (HARMS) are high-cost therapy and their effectiveness differ. Ocrelizumab is a new drug from the group of monoclonal antibodies to the CD20 B-lymphocyte receptor and its use can lead to changes in the budget for the treatment of PPMS and HARMS. The aim of the study was to determine the budget impact of the inclusion in the public funding of the use of ocrelizumab in both indications in Russia. Methods: The populations of PPMS and HARMS were determined on the basis of literature data (both is 10% of the total population of MS patients). The analysis point of view (federal and regional), the time horizon (1, 2, 5 years), and analysis scenarios were set basing on MS experts' opinion. For PPMS, it was assumed that patients would receive BSC (existing scenario) or ocrelizumab (new scenario). For HARMS, it was assumed that patients would receive alemtuzumab or natalizumab (existing scenarios 1 and 2) or ocrelizumab (new scenario). Results: The use of ocrelizumab instead of BSC in PPMS increases costs/year by 73 864 873.84 euro. The use of ocrelizumab instead of natalizumab and alemtuzumab in HARMS reduces costs in the first year by 35 134 031,85 and 174 442 131,17 euro, respectively. Conclusions: The use of ocrelizumab instead of BSC in PPMS causes additional budget costs, and in HARMS instead of natalizumab and alemtuzumab, with reduces them. The use of ocrelizumab in both indications could lead to providing PPMS patients with the first effective drug therapy in their indication and at the expense of financial savings associated with the use of ocrelizumab instead of alemtuzumab in HARMS and would not lead to additional costs of MS therapy.

Objective: scientific rationale of changing approaches to medical care payment for hospitalization of patients suffering from severe asthma (SA) that require the prescription of biologic disease-modifying drugs (bDMDs) within the constraints of diagnosis-related groups (DRGs) on the level of the Moscow Region.Material and methods. For the federal model regional adaptation, the authors used the mechanism of subgroups selection in the structure of basic DRG No. 336 st36.003 and No. 139 ds36.004 “Treatment with biologic disease-modifying drugs and selective immunosuppressants” in the round-the-clock (RH) and day-time hospital (DH). Budget impact analysis (BIA) was performed to provide scientific and economic feasibility for the improvement of medical care payment for bDMDs proscribed to patients with SA within DRG at the level of the Moscow Region.Results. The analysis of cost of drug therapy and medical services per 1 case of hospitalization of patients with SA, that required bDMDs therapy, considering the classification criterion (international nonproprietary name of drugs and drug therapy regimens), showed 10 subgroups in DRG No. 336 st36.003 (level 1) and 9 subgroups in DRG No. 139 ds36.004. Expert estimates on the rate of hospitalizations and drug dosage regimen indicated for patients with SA were used to calculate the relative cost weights (CW). The highest CW was observed in the subgroup that received benralizumab in RH (CW=7.46) and in DH (CW=12.08) conditions. BIA demonstrated 110,103,901.53 rubles (or 31%) budget savings for the health care system of the Moscow Region.Conclusion. The implementation of the adapted DRG federal model in the conditions of the health care system of Moscow Region is an economically feasible approach to the organization of the inpatient medical care provided to patients with SA needing bDMDs prescription.

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Objectives: According to experts from the Moscow City Health Department, prostate cancer (PC), breast cancer (BC), colon cancer (CC), melanoma (MEL) and renal cell carcinoma (RCC) are the most high-cost oncological diseases. The aim of our study was to calculate the costs for each of these nosologies from the point of view of Moscow's budget and compare them with each other. MethOds: To assess the annual costs of drug therapy in Moscow in patients with PC, BC, CC, MEL and RCC we have developed an analytical model, taking into account the data of Cancer Register for 2015 and 2016, as well as literature sources. Results: We have estimated that if the costs of drug therapy for all five of assessed types of cancer are taken as 100%, then the most costly is BC (41% of costs), then MEL (20%), RCC (15%), CC (13%) and PC (12%). We have also calculated, that if the number of patients with all five types of assessed cancer undergoing drug therapy, we would consider as 100%, the highest percentage of them is in BC (50% of all patients), then -PC (36%), CC (9%), MEL (3%) and RCC (1%). cOnclusiOns: The structure of drug therapy costs in patients with PC, BC, MEL, CC and RCC in Moscow shows that the most expensive is the treatment of patients with melanoma (for 3% of patients Moscow City Health Department spends 20% of costs) and RCC (1% of patients cost 15% of costs).

Background. The average annual increment (5,09 %) of the prostate cancer (PC) incidence was highest across male oncological diseases registered in Russia from 2007 to 2017. 4643 new cases of PC were diagnosed in Moscow in 2017. As of 1st January 2018, the total number of living males with PC registered within Moscow healthcare system was 31,567.The study objective was to obtain the structure of factual costs related to medicine therapy of PC covered by the budget funds of the Moscow Healthcare Department in 2016–2017, that would help to further improve the system of subsidized drug provision for Moscow residents.Materials and methods. Using data from the information database of the Center for Medicine Provision of the Moscow City Department of Healthcare the following parameters were determined: total sum of expenses on drug purchase, mean treatment cost per 1 patient, number of patients receiving therapy, number of prescriptions, number of prescribed drug packs, mean pack cost, and others. The analyzed medicines were classified based on pharmacological and clinical groups. Costs for each class of therapies were studied.Results. During studied period (2016–2017), the most funds in Moscow were spent on abiraterone and goserelin. In 2016–2017, the amounts of prescribed packs were highest for androgen deprivation therapy: luteinizing hormone-releasing hormone agonists – goserelin and buserelin. In the group comprising 10 therapeutic regimens associated with highest costs, the percentages of costs for hormonal therapy and chemotherapy were respectively as following: 80 % and 16 % in 2016 and 75 % and 23 % in 2017. In the simplified model of costs associated with androgen deprivation therapy and treatment of metastatic castration-resistant PC without consideration of androgen deprivation therapy constituted 39 % and 61 % in 2016 and 36 % and 64 % in 2017. In the population of patients with prostate cancer, zoledronic acid, abiraterone, docetaxel, cabazitaxel were the most used medications in 2017 and the rate of enzalutamide usage was lowest.Conclusion. The highest costs are associated with treatment of metastatic castration-resistant PC. There is a growing necessity for improvement of funds spending on medications for patients with castration-resistant PC. This improvement could be achieved through development of medical methodologies that facilitate the selection of the most cost-effective approaches for early diagnosis and treatment.

(TreeAge Pro ®) was performed. Systematic reviews and meta-analysis were analyzed to establish the sensibility and specificity of CRP, procalcitonin and presepsin, a consensus of experts determined the length of hospitalization, costs of hospitalization and tests evaluated were determined from the average direct costs (USD). The cutoffs used were < 0.5 mg/dl for procalcitonin, > 40 mg/L for CRP and 625 pg/ml for Presepsin. The pre-test probability ranged from 10% to 90%, considering low, intermediate and high probability of SBI. Results: The different strategies had similar cost-effectiveness for a correctly diagnosed patient with SBI. However, presepsin was the most C/E strategy for the pretest probability scenarios between 30%-90%, ranging from $911 to $2685 per diagnosed patient. In the lowest pre-test probability, 10%, the CRP performed better. ConClusions: In the clinical practice, a large amount of children with fever without source have a wide range of pre-test probabilities of SBI. Our results found that presepsin can be a good diagnostic tool in patients with a 30% or higher probability of presenting SBI in children in Colombia. Additional research of new diagnostic tools is necessary to improve care evidence in children with SBI.