Assessment of the efficiency of the health care system in Russia

  • Varvara V. Nazarova National Research University Higher School of Economics, Saint Petersburg nvarvara@list.ru
  • Ksenia A. Borisenkova National Research University Higher School of Economics, Saint Petersburg ksenijabrisenkva@rambler.ru
How to Cite
Nazarova V.V., Borisenkova K.A. Assessment of the efficiency of the health care system in Russia. Population. 2017. Vol. 20. No. 4. P. 119-134. (in Russ.).

Abstract

The purpose of the article is to assess the efficiency of the Russian health care system on the basis of modern analysis tools, in particular, the effective frontier modeling (SFA –Stochastic Frontier Analysis). SFA presents dependence of average life expectancy on health care expenditures, average number of years of study and health risk factors as explanatory variables. Currently, there is a significant lagging of the Russian health care system behind many developed countries by basic health indicators. The method used assumes calculation of health production function that allows assessment of the impact of irrational use of resources on different health indicators. The result of the function is average life expectancy indicator, which represents a linear dependence of a set of explanatory variables. The collected data on 11 countries for the period from 2000 to 2013 show direct dependence of life expectancy on income inequality measured by Ginny coefficient, and inverse dependence on average income per capita and the share of health care expenditure in the total public expenditure. In conclusion there are given recommendations for improving the health care system in Russia. For example, introduction of a system of population co-payment for a certain set of services; creation of a unified system for the use of resources and management in the sphere of medical provision; development of public-private partnership in the health sector, balancing of the Federal and regional health care funding that will contribute to raising the effectiveness of the health care system
Keywords:
health care, health production function, stochastic frontier, efficiency, public health care expenditure

Author Biographies

Varvara V. Nazarova, National Research University Higher School of Economics, Saint Petersburg
Cand. Sc. (Econ.), Associate Professor
Ksenia A. Borisenkova, National Research University Higher School of Economics, Saint Petersburg
Bach. Sc. (Econ.)

References

Kotlyarov I.D., Balashov A.I. Contradictions in the state policy on regulation of medicine prices: problems and ways of solving them. Voprosy ekonomiki [Economic Studies]. 2011. No. 10. P. 142-155. (in Russ.)



Vsemirnaya organizatsii zdravookhraneniya [World Health Organization]. Available at: http://databank.worldbank.org/data/reports.aspx? source=world-development-indicators



Zdravookhraneniye v Rossii 2015 [Health Care in Russia 2015]. Federal'naya sluzhba gosudarstvennoy statistiki [Rosstat]. 2015. 176 p. (in Russ.)



Medeiros J., Schwierz C. Efficiency estimates of health care systems. European Economy. Economic Papers. No. 549. 2015.



Vsemirnyy bank [World Bank]. Available at: http://databank.worldbank.org/ da-ta/reports.aspx? source=world-development-indicators



Rossiyskiy statisticheskiy yezhegodnik [Russian Statistical Yearbook]. Available at: http://www.gks.ru/bgd/regl/b13_13/Main.htm (in Russ.)



Skobelin O.N. The problem of estimating efficiency of the system of compulsory medical education. Vestnik Finansovogo universiteta [Bulletin of the Financial University]. 2011. No. 6. P. 81-86. (in Russ.)



Duganov M.D. Otsenka effektivnosti raskhodov na zdravookhraneniye na regional'nom i munitsipal'nom urovnyakh [Efficiency Estimates of the Health Care Spending at the Region-al and Municipal Levels]. Moscow. 2007. (in Russ.)



Sherman H. D. (1984). Hospital efficiency measurement and evaluation: Empirical test of a new technique. Medical Care, Vol. 22, No. 10, pp. 922–938.



Aigner D., Lovell C. A. K., Schmidt P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, Vol. 6, No. 1, pp. 21–37



Giuffrida A., Gravelle H. (2001). Measuring performance in primary care: econometric analysis and DEA. Applied Economics, Vol. 33, No. 2, pp. 163–175.



Jacobs R. (2001). Alternative methods to examine hospital efficiency: data envelopment analysis and stochastic frontier analysis. Health Care Management Science, Vol. 4, No. 2, pp. 103–115.



Aka B. F., Dumont J. C. (2008). Health, education and economic growth: Testing for long-run relationships and causal links in the United States. Applied Econometrics and International Development, Vol. 8, No. 2, pp. 101–113.



Ryazantsev S.V., Khramova M.N., Grishin A.S. Differentiation of Mortality from External Causes in the Russian Federation and Belarus. Nauchnoe obozrenie. Seriya 2. Gumanitarnye nauki [Scientific Review. Series 2. Human Sciences]. 2017. No. 4-5. Р. 5-14. (in Russ.)



Shishkin S.V., Selezneva E.V., Potapchik E.G., Popovich L.D., Sheiman I.M. Modernizatsiya zdravookhraneniya: novaya situatsiya i novyye zadachi [Modernization of Health Care: a New Situation and New Tasks]. Moscow. Delo [Business]. (in Russ.)
Citation Formats
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APA
Nazarova, V. V., & Borisenkova, K. A. (2017). Assessment of the efficiency of the health care system in Russia. Population, 20(4), 119-134. Retrieved from https://www.jour.fnisc.ru/index.php/population/article/view/6572
Section
HEALTH CARE IN RUSSIA