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The Medical Use of the Disabled Among Overusers of Medical Aid in Korea

의료급여 과다 이용 수급권자 중 장애인의 의료이용

  • Shin, Sun-Mi (Office of Global Health Leadership, University of Illinois at Chicago) ;
  • Kim, Eui-Sook (Korea Human Resource Development Institute for Health and Welfare, Institute of Case Management) ;
  • Park, Chang-Ki (Office of Global Health Leadership, University of Illinois at Chicago) ;
  • Lee, Hee-Woo (Seoul Education Research Information Institute)
  • 신선미 (일리노이주립대학교 국제보건리더쉽센터) ;
  • 김의숙 (한국보건복지인력개발원 의료급여사례관리사업지원단) ;
  • 박창기 (일리노이주립대학교 국제보건리더쉽센터) ;
  • 이희우 (서울특별시교육연구정보원)
  • Published : 2010.01.31

Abstract

Objectives: In Korea, the top 10% of Medical Aid recipients represent nearly 60% of total payment, with the costs for those disabled for over 365 days representing approximately 30% of total payment. The purpose of this study was to compare Medical Aid use of the disabled with non-disabled recipients, and to identify contributing factors to the total payment in the top 2% of recipients identified as Medical Aid overusers. Methods: Subjects (n=2,211) selected were ${\geq}18$-years-of-age and received >1000 days of co-payment-free type I Medical Aid. Case managers (n=200) conducted interviews in December 2006, and collected data from Health Insurance Review & Assessment Service. Amounts over the 9 months from January September 2006 were analyzed descriptively and using Chi-square, ANCOVA, and robust multiple linear regression. Results: Disabled individuals (mean age 61.3 years) composed 36.6% of subjects; 44.8% of the disabled were male. On a monthly basis per capita, the disabled group averaged 10.5 outpatient days, total payment of 523,000 Korean Won(₩), inpatient payment of ₩359,000, and outpatient payment of ₩183,000. All values exceeded the monthly average for non-disabled individuals. Contributing factors were identified as male gender (₩82,000), elementary school or lower educational level (₩64,000), residence in a small city (₩82,000), lack of family support (₩61,000), kidney disability (₩673,000), intellectual disability (₩151,000), and multiple disabilities (₩119,000). Conclusions: The identification of contributing factors to Medical Aid use by those defined as disabled supports the adoption of comprehensive alternative policies such as strengthening of education and consultation services, provision of alternative facilities, and promotion of self-care.

Keywords

References

  1. National Assembly Budget Office in Korea. Analysis on Government Expenditure Trend. In: Park IH, edtor, Social Budget Analysis Team, NABO. Analysis on Government Expenditure Trend of Medical Aid Cost. Seoul: The National Assembly; 2006, p. 25-50. (Korean)
  2. Smith DG, Moore JD. Medicaid Politics and Policy, 1965- 2007. New Brunswick, NJ: Transaction Publishers; 2008.
  3. Kim ES, Nam JJ, Kim MY, Ko IS, Lee DM, Kim KS et al. The Current Situation of Medical Aid Utilization and Improvement Direction in Long Term Utilizers. Ministry for Health, Welfare and Family Affairs. Seoul: The Nursing Policy Ressearch Institute. College of Nursing, Yonsei University; 2007. (Korean)
  4. Ministry for Health, Welfare and Family Affairs. A Revised Bill for A Guide of Medical Aid Innovative Counterplan, and a Plan for Research on the Actual Condition of Overuser. Seou.l: Ministry for Health, Welfare and Family Affairs; 2006. (Korean)
  5. Sommers AS, Cohen M. Medicaid's High Cost Enrollees: How Much Do They Drive Program Spending? Kaiser commission on medicaid and uninsured; 2006. Washington, DC [cited 2009 Apr 20]. Available from: URL: http:// www.urban.org/publica-tions/1000989.html.
  6. Shin SM, Kim ES, Lee HW. Self-perception of the amount of medical aid use of outpatient overusers in Korea. Korean J Health Policy Admin 2009; 19(2): 21-35. (Korean). https://doi.org/10.4332/KJHPA.2009.19.2.021
  7. Shin YS., Choi BH, Shin HY. Hwang DK, Yun SJ. A Policy Report for the Current Situation of Medical Aid Expenditure and Improvement Direction. Seoul: Korea Institute for Health and Social Affairs; 2005. (Korean)
  8. Kim Y, Lee JY, Lee BS, Kim WH, Lee JS, Moon NJ et al. The Current Situation of Health Insurance Payment for The disabled, and An Alternative Enhancement Plan of Health Care. Seoul: National Health Insurance Corporation; 2005, p 205-284. (Korean)
  9. Hadley J, Holahan J. Is health care spending higher under Medicaid or private insurance? Inquiry 2003; 40(4): 323- 342. https://doi.org/10.5034/inquiryjrnl_40.4.323
  10. Park JH, Lee JS, Lee JY, Hone JY, Kim SY, Kim SO, et.al. Factors affecting national health insurance mass screening participation in the disabled. J Prev Med Public Health 2006; 39(6): 511-519. (Korean)
  11. Diab ME, Johnston MV. Relationships between level of disability and receipt of preventive health services. Arch Phys Med Rehabil 2004; 85(5): 749-757. https://doi.org/10.1016/j.apmr.2003.06.028
  12. Eun SJ, Hong JY, Lee JY, Lee JS, Kim Y, Kim YI, et al. Differences in medical care utilization rates of the disabled and the non-disabled with ambulatory care sensitive conditions. J Prev Med Public Health 2006; 39(5): 411- 418. (Korean)
  13. Park KS, Chun BY, Kam S, Yeh MH, Kang YS, Kim KY, et al. Structural relationships among health concern, health practice and health status of the disabled. Korean J Prev Med 1999; 32(3): 276-288. (Korean)
  14. Byeon YC, Kim SH, Lee SW. National Survey on The Disabled People in Korea 2000. Seoul: The Korea Institute for Health and Social Affairs; 2001, p.76-83. (Korean)
  15. Byeon YC, Kim SH, Lee SW. National Survey on The Disabled People in Korea 2000. Seoul: The Korea Institute for Health and Social Affairs; 2001, p.76-83. (Korean)
  16. Zaman A, Rousseeuw PJ, Orhan M. Econometric applications of high breakdown robust regression techniques, Econ Lett 2001; 71(1): 1-8. https://doi.org/10.1016/S0165-1765(00)00404-3
  17. French MT, Mundt MP, Fleming M, Zavala SK. The cost of medical care for patients with diabetes, hypertension and both conditions: Does alcohol use play a role? J Intern Med 2005; 258(1): 45-54. https://doi.org/10.1111/j.1365-2796.2005.01501.x
  18. Berk RA. A primer on robust regression, In: Fox J. Long JS, eds. Modern Methods of Data Analysis. Newbury Park. CA: Sage Publications; 1990, p. 292-324.
  19. Li G. Robust regression. In: Hoaglin DC, Mosteller F, Tukey JW, eds. Exploring Data Tables, Trends, and Shapes. New York, NY: John Wiley & Sons Inc; 1985, p. 281-340.
  20. Park JH, Lee JS, Lee JY, Gwack J, Park JH, Kim YI, et al. Disparities between persons with and without disabilities in their participation rates in mass screening. Eur J Public Health 2009; 19(1): 85-90.
  21. Jung KW, Kwon SJ, Kim YH, Byeon YC, Kye HB, Kwon DY et al. The Current Situation of Employment of The Disabled and The Analysis of Its Economic Effect on The Disabled. Seoul: The Korea Institute for Health and Social Affairs; 1996. (Korean)
  22. Burton WN, Chen CY, Conti DJ, Schultz AB, Edington DW. The association of antidepressant medication adherence with employee disability absences. Am J Manag Care 2007; 13(2): 105-112.
  23. Ebert DA, Heckerling PS. Communication disabilities among medical inpatients. N Engl J Med 1998; 339(4): 272-273.

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