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Willingness to Pay for Complementary Health Care Insurance in Iran

Authors :
Shirin NOSRATNEJAD
Arash RASHIDIAN
Ali AKBARI SARI
Najme MORADI
Source :
Iranian Journal of Public Health, Vol 46, Iss 9 (2017)
Publication Year :
2017
Publisher :
Tehran University of Medical Sciences, 2017.

Abstract

Background: Complementary health insurance is increasingly used to remedy the limitations and shortcomings of the basic health insurance benefit packages. Hence, it is essential to gather reliable information about the amount of Willingness to Pay (WTP) for health insurance. We assessed the WTP for health insurance in Iran in order to suggest an affordable complementary health insurance. Methods: The study sample consisted of 300 household heads all over provinces of Iran in 2013. The method applied was double bounded dichotomous choice and open-ended question approach of contingent valuation. Results: The average WTP for complementary health insurance per person per month by double bounded dichotomous choice and open-ended question method respectively was 199000 and 115300 Rials (8 and 4.6 USD, respectively). Household’s heads with higher levels of income and those who worked had more WTP for the health insurance. Besides, the WTP increased in direct proportion to the number of insured members of each household and in inverse proportion to the family size. Conclusion: The WTP value can be used as a premium in a society. As an important finding, the study indicated that the households were willing to pay higher premiums than currently collected for the complementary health insurance coverage in Iran. This offers the policy makers the opportunity to increase the premium and provide good benefits package for insured people of country then better risk pooling.

Details

Language :
English
ISSN :
22516085 and 22516093
Volume :
46
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Iranian Journal of Public Health
Publication Type :
Academic Journal
Accession number :
edsdoj.318da409013748729c2e3885ee61c89e
Document Type :
article