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Health care utilization and costs among medical-aid enrollees, the poor not enrolled in medical-aid, and the near poor in South Korea

Overview of attention for article published in International Journal for Equity in Health, November 2015
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Title
Health care utilization and costs among medical-aid enrollees, the poor not enrolled in medical-aid, and the near poor in South Korea
Published in
International Journal for Equity in Health, November 2015
DOI 10.1186/s12939-015-0257-9
Pubmed ID
Authors

Jae Woo Choi, Eun-Cheol Park, Sung-Youn Chun, Kyu-Tae Han, Euna Han, Tae Hyun Kim

Abstract

Although government has implemented medical-aid policy that provides assistance to the poor with almost free medical services, there are low-income people who do not receive necessary medical services in Korea. The aim of this study is to highlight the characteristics of Medical-Aid enrollees, the poor not enrolled in Medical-Aid, and the near poor and their utilization and costs for health care. This study draws on the 2012 Korea Welfare Panel Study (KOWEPS), a nationally representative dataset. We divided people with income less than 120% of the minimum cost of living (MCL) into three groups (nā€‰=ā€‰2,784): the poor enrolled in Medical-Aid, the poor not enrolled in Medical-Aid (at or below 100% of MCL), and the near poor (100-120% of MCL). Using a cross-sectional design, this study provides an overview of health care utilization and costs of these three groups. The findings of the study suggest that significantly lower health care utilization was observed for the poor not enrolled in Medical-Aid compared to those enrolled in Medical-Aid. On the other hand, two groups (the poor not enrolled in Medical-Aid, the near poor) had higher health care costs, percentage of medical expenses to income compared to Medical-Aid. Given the particularly low rate of the population enrolled in Medical-Aid, similarly economically vulnerable groups are more likely to face barriers to needed health services. Meeting the health needs of these groups is an important consideration.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 4 15%
Student > Ph. D. Student 3 11%
Researcher 3 11%
Student > Master 3 11%
Student > Bachelor 2 7%
Other 6 22%
Unknown 6 22%
Readers by discipline Count As %
Economics, Econometrics and Finance 7 26%
Medicine and Dentistry 5 19%
Social Sciences 3 11%
Mathematics 2 7%
Agricultural and Biological Sciences 1 4%
Other 3 11%
Unknown 6 22%