Approaches to the assessment of the economic potential of assisted reproductive technologies in the region

Autor: O. P. Kovtun, E. A. Kachanova, A. N. Plaksina, A. V. Panova
Rok vydání: 2021
Předmět:
Zdroj: Rossijskij Vestnik Perinatologii i Pediatrii, Vol 66, Iss 2, Pp 49-55 (2021)
ISSN: 2500-2228
1027-4065
DOI: 10.21508/1027-4065-2021-66-2-49-55
Popis: Objective. To formulate the main theoretical and methodological approaches to the content and assessment of the economic potential of the assisted reproductive technologies (ART) in a particular region in order to forecast the demand, budget and extra-budgetary funding for this medical service in the medium term. Material and methods. The study uses the system and comparative analysis, content analysis, methods of generalization, deduction and induction, economic and statistical methods of data processing. Results. The analysis showed an increase in the availability of ART performed at the expense of Compulsory Medical Insurance Fund (CMIF) for families with infertility. Despite the negative dynamics of indicators of natural movement of the population in the region, there is an increase in the birth rate due to reproductive technologies. To calculate the contribution of the ART for the health of children born using reproductive techniques to the economic potential it is necessary to obtain data from the Territorial Compulsory Health Insurance Fund (TCHIF) of Sverdlovsk region on the insured women who underwent the procedure, cases of medical assistance to a child with the conditions of assistance, a diagnosis according to ICD-10, name of the services and the actual and expert payment. Conclusion. Taking into account the emerging global challenges, current environmental situation and increasing role of innovative technologies in health care, we should substantiate the concept and indicators of the economic potential of assisted reproductive technologies from the point of view of their practical application in regulation of reproductive and social processes in the region
Databáze: OpenAIRE