Literature DB >> 30671697

Attitudes to reform: Could a cooperative health insurance scheme work in Russia?

Maria Kaneva1,2, Christopher J Gerry3, Nikolay Avxentiev4,5, Valerii Baidin6.   

Abstract

As for all health systems, in Russia, the demand for medical care is greater than its health system is able to guarantee the supply of. In this context, removing services from the state guaranteed package is an option that is receiving serious consideration. In this paper, we examine the attitudes of the Russian population to such a reform. Exploiting a widely-used methodology, we explore the population's willingness to pay for cooperative health insurance. Distinguishing between socioeconomic and demographic factors, health-related indicators and risk aversion we find, consistent with other literature, positive income and risk aversion effects. We interpret the former as evidence that the Russian population is not opposed to the idea of progressive redistribution, to pool the costs of health-related risks; and the latter as evidence that risk-averse individuals demand more insurance coverage. In exploring these results further, we show that cognitive bias is important: overestimating the benefits leads to the purchase of additional insurance, while underestimating lowers demand for insurance. Our overall conclusion is that the introduction of a supplementary cooperative health insurance scheme in Russia could increase the accessibility of healthcare, lower the tendency for informal payments, incentivize the personal maintenance of good health and create a new source of funding for public healthcare.

Entities:  

Keywords:  Cognitive bias; Cooperative health insurance; Health reform; Risk aversion; Russia; Solidarity; Willingness to pay

Mesh:

Year:  2019        PMID: 30671697     DOI: 10.1007/s10754-019-09260-3

Source DB:  PubMed          Journal:  Int J Health Econ Manag        ISSN: 2199-9031


  19 in total

1.  The impact of financing and quality changes on health care demand in Niger.

Authors:  M Chawla; R P Ellis
Journal:  Health Policy Plan       Date:  2000-03       Impact factor: 3.344

2.  Willingness to pay for rural health insurance through community participation in India.

Authors:  K Mathiyazhagan
Journal:  Int J Health Plann Manage       Date:  1998 Jan-Mar

3.  Consumer preferences in social health insurance.

Authors:  Jan J Kerssens; Peter P Groenewegen
Journal:  Eur J Health Econ       Date:  2005-03

4.  Household health-seeking behaviour in Khartoum, Sudan: the willingness to pay for public health services if these services are of good quality.

Authors:  Khalid Habbani; Wim Groot; Izabela Jelovac
Journal:  Health Policy       Date:  2005-06-23       Impact factor: 2.980

5.  Social capital and farmer's willingness-to-join a newly established community-based health insurance in rural China.

Authors:  Licheng Zhang; Hong Wang; Lushang Wang; William Hsiao
Journal:  Health Policy       Date:  2005-07-19       Impact factor: 2.980

6.  The link between past informal payments and willingness of the Hungarian population to pay formal fees for health care services: results from a contingent valuation study.

Authors:  Petra Baji; Milena Pavlova; László Gulácsi; Miklós Farkas; Wim Groot
Journal:  Eur J Health Econ       Date:  2013-08-30

7.  Willingness to pay for health insurance among the elderly population in Germany.

Authors:  Jens-Oliver Bock; Dirk Heider; Herbert Matschinger; Hermann Brenner; Kai-Uwe Saum; Walter E Haefeli; Hans-Helmut König
Journal:  Eur J Health Econ       Date:  2014-12-20

8.  Willingness to pay for voluntary community-based health insurance: findings from an exploratory study in the state of Penang, Malaysia.

Authors:  A A Shafie; M A Hassali
Journal:  Soc Sci Med       Date:  2013-03-14       Impact factor: 4.634

9.  Impoverishment and patients' "willingness" and "ability" to pay for improving the quality of health care in Palestine: an assessment using the contingent valuation method.

Authors:  Awad Mataria; Rita Giacaman; Rana Khatib; Jean-Paul Moatti
Journal:  Health Policy       Date:  2006-02       Impact factor: 2.980

10.  Conducting discrete choice experiments to inform healthcare decision making: a user's guide.

Authors:  Emily Lancsar; Jordan Louviere
Journal:  Pharmacoeconomics       Date:  2008       Impact factor: 4.981

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