Опыт и перспективы стимулирования государством развития частных врачебных практик в сельской местности (некоторые итоги пермского эксперимента)
This chapter investigates private provision of health care in early Soviet Russia.
The paper discusses factors impacting new medical technologies adoption in private hospitals of Saint Petersburg. I use interviews with hospitals' owners and top managers to study decision-making process of new medical technologies adoption. I outline common problems, associated with managing the introduction of new medical technologies in private sector, including: administrative barriers, medical staff, old technical requirements, price competition with public hospitals and strategic drawbacks in private healthcare policy.
This article provides information about the possibilities of the internal evalution of regional competitiveness. The author reveals the essence of the internal competitiveness of the regions, describes method of estimaiting competitiveness and identify its weaknesses as an example of Perm region. This evaluation will assess the development of a trend in the region to increase its competitiveness.
The article tries to assess the role of health statistics of the people in the state-run Health Service in modern Russia. The article analyses the problems connected with collecting statistics and concludes that medical statistics does not reflect the real situation in the Health Service and the health state of the nation. Taking this into account, the author suggests considering statistics as a means in the struggle for the distribution of resources and as a form to prove that the decisions taken on resources distribution are correct.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.