DOI QR코드

DOI QR Code

Influence Factors on Medical Expenditure according of Occupation Classification

직업분류에 따른 의료비 지출 규모와 영향 요인

  • Choi, Ryoung (Dept. of Health Administration, Dongshin, University)
  • 최령 (동신대학교 보건행정학과)
  • Received : 2019.01.29
  • Accepted : 2019.04.20
  • Published : 2019.04.28

Abstract

This study analyzed the size and influence factors of annual average health expenditure according to job type. Using data from the Korea Health Panel (2012), the final analysis was conducted on adults aged 20 years or older, excluding the missing data. Data analysis was done by logistic regression analysis to analyze the factors affecting medical expenditure. As a result of the study, Model 1 showed higher expenditure on medical expenses by skilled workers in agriculture and forestry fishery than those in simple labor. Model 2 was analyzed as having a positive effect on the increase of medical expenditure by the simple worker in the sales of the occupation, statistically significant by sex, marriage, income level and chronic disease. Therefore, it would be necessary to establish social security and health care & welfare policies, in order to grasp the disease with a high frequency rate according to occupation status and activate the physical examination and preventive actions.

본 연구는 직업분류에 따른 의료비 지출 영향요인을 분석하였다. 한국의료패널(Korea Health Panel)의 2012년도 데이터를 이용하여 만20세 이상의 성인을 대상으로 결측값을 제외한 총 4,538명을 최종 분석대상으로 하였다. 자료분석은 의료비 지출 영향요인을 분석하기 위하여 로지스틱 회귀분석을 하였다. 연구분석 결과 Model 1은 단순노무 종사자에 비해 농림어업 숙련 종사자, Model 2의 경우 직종의 경우 판매 종사자에 비해 단순노무 종사자에서 의료비 지출 증가에 영향을 주는 것으로 분석되었다. 성별은 남자에 비해 여자, 혼인은 무에 비해 유, 소득계층은 1분위에 비해 4분위, 5분위, 만성질환은 무에 비해 유에서 의료비 지출이 높은 것으로 분석되었다. 따라서, 건강검진 또는 예방활동 활성화를 위한 보건의료정책 및 보건학적 접근에 있어서 직종, 만성질환 등을 반영한 보다 체계화된 접근이 필요하다.

Keywords

Table 1. General characteristics of the participants

DJTJBT_2019_v17n4_203_t0001.png 이미지

Table 2. Relevance on Occupation Classification and General characteristics

DJTJBT_2019_v17n4_203_t0002.png 이미지

Table 3. Medical Expenditure Size of Occupation Classification

DJTJBT_2019_v17n4_203_t0003.png 이미지

Table 4. Influence Factors on Medical Expenditure of Occupation Classification

DJTJBT_2019_v17n4_203_t0004.png 이미지

References

  1. J. Le Grand & P. Vizard. (1998). The National Health Serivce : Crisis, Change, or Continuity. The State of Welfare. Oxford University Press.
  2. H. J. Lee, T. J. Lee, B. Y. Jeon & Y. I. Jung. (2009). Factors Related to Health Care Utilization in the Poor and the General Populations. The Korean Journal of Health Economics and Policy, 15(1), 79-106.
  3. J. A. Macinko & B. Starfield. (2002). Annotated bibliography on equity in health 1980-2001. International Journal for Equity in Health, 1(1), 1-20. https://doi.org/10.1186/1475-9276-1-1
  4. R. Choi, J. Y. Park & B. D. Hwang. (2013). Health Care Utilization according to Income class and Subjective Income class: Measurements Based on Korea Health Panel. Health and Social Science, 33, 85-107.
  5. P. J. Veugelers & A. M. Yip. (2003). Socioeconomic disparities in health care use: Does universal coverage reduce inequalities in health?. Journal Eipdemiol Community Health, 57, 424-428. https://doi.org/10.1136/jech.57.6.424
  6. E. Van Doorslaer & X. Koolman. (2004). Explaining the differences in income related health inequalities across European Countries. Health Economics, 13(7), 609-628. https://doi.org/10.1002/hec.918
  7. S. J. Park & W. J. Lee. (2017). An Analysis of Convergence Factors on the Unmet Health Needs of the Indigent Elderly. Journal of the Korea Convergence Society, 8(1), 221-229. https://doi.org/10.15207/JKCS.2017.8.1.221
  8. R. Choi & B. D. Hwang. (2014). Health Care Utilization of Age Group in the Elderly on the Korean Health Panel. The Korean Journal of Health Service Management, 8(3), 49-61. https://doi.org/10.12811/kshsm.2014.8.3.049
  9. Y. I. Jung, H. S. Kim, S. M. Kwon. (2016). Horizontal Equity in the Use of Home Care and Health Care among Home Care Recipients under the Public Long-term Care Insurance in South Korea. The Korean Journal of Health Economics and Policy, 22(4), 59-78.
  10. R. Choi & B. D. Hwang. (2017). The Relationship of Subjective Recognition of Social Class and Mental Health in Korean Adult. The Korean Journal of Health Service Management, 11(3), 49-61.
  11. J. H. Lee & H. J. Kim. (2018). Trend of Medical Care Utilization in Glaucoma Patients over 5 Years(2008-2012) - Korea Health Panel Data-. Journal of the Korea Convergence Society, 9(10), 433-439. https://doi.org/10.15207/JKCS.2018.9.10.433
  12. Y. J. Lee. (2018). The Effects of Medical Expenditure on Income Inequality in Elderly and Non-Elderly Households by Income Class. Journal of Digital Convergence, 16(10), 49-57. DOI : 10.14400/JDC.2018.16.10.049
  13. H. J. Yoo & W. H. Kim. (2002). A Study on the Occupational Status in Korea. Journal of Employment and Skills Development, 5(2), 35-66.
  14. H. J. Yoo. (2000). Sociology of Occupations. Seoul : Kyungmoonsa.
  15. C. Yang. (2000). Korean Society : Herarchy and Dynamics. Seoul, Korea university press.
  16. http://kostat.go.kr/portal/korea/index.action.
  17. H. R. Kim. Y. H. Kang. K. J. Yoon & C. S. Kim. (2004). Socioeconomic Health Inequalities and Counter Policies in Korea. Seoul : Korea Institute for Health and Social Affairs.
  18. M. S. Sohn, H. K. Kim, H. S. Rhee & M. K. Choi. (2018). Association between Multi-morbidity and Health Care Expenditure or Catastrophic Health Expenditures of South Korean Adults. The Korean Journal of Health Economics and Policy, 24(3), 49-75.