|CrossRef Text and Data Mining|
|Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining.|
|Has the Copayment Ceiling Improved Financial Protection in the Korean National Health Insurance System? Evidence From the 2009 Policy Change|
|Tae-Jin Lee, Chelim Cheong|
|J Prev Med Public Health. 2017;50(6):393-400. Published online 2017 November 9 DOI: https://doi.org/10.3961/jpmph.17.151|
Has the Copayment Ceiling Improved Financial Protection in the Korean National Health Insurance System? Evidence From the 2009 Policy Change
Has the National Health Insurance improved the inequality in the use of tertiary-care hospitals in Korea?
Mutual health insurance in Rwanda: Evidence on access to care and financial risk protection
Has cost containment after the National Health Insurance system been successful?
Promoting universal financial protection: evidence from the Rashtriya Swasthya Bima Yojana (RSBY) in Gujarat, India
Health Insurance Costs and Employee Compensation: Evidence from the National Compensation Survey
Promoting universal financial protection: health insurance for the poor in Georgia – a case study
The impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data
Management accounting use and financial performance in public health-care organisations: Evidence from the Italian National Health Service
Has Income-related Inequity in Health Care Utilization and Expenditures Been Improved? Evidence From the Korean National Health and Nutrition Examination Survey of 2005 and 2010
|This metadata service is kindly provided by CrossRef from May 29, 2014. J Prev Med Public Health has participated in CrossRef Text and Data Mining service since October 29, 2014.|