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Comparisons of Health Inequalities in Small Areas with Using the Standardized Mortality Ratios in Korea

표준사망비를 활용한 우리나라 소지역별 건강불평등 비교

  • Kim, Ji-Hyun (Department of Preventive & Occupational Medicine, School of Medicine, Pusan National University) ;
  • Yoon, Tae-Ho (Department of Preventive & Occupational Medicine, School of Medicine, Pusan National University)
  • 김지현 (부산대학교 의학전문대학원 예방의학 및 산업의학교실) ;
  • 윤태호 (부산대학교 의학전문대학원 예방의학 및 산업의학교실)
  • Published : 2008.09.30

Abstract

Objectives : This study was performed to compare the standardized mortality ratios among different small areas and to explore the usefulness of standardized mortality ratios in South Korea. Methods : To calculate the standardized mortality ratio (SMR), we obtained the national deaths certificate data (2004-2006) and national registration population data (2003-2006), and these were provided by the National Statistical Office. The small areas (Eup.Myoun.Dong) were based on the subdivisions of counties. Among the 3,580 small areas classified by the National Statistical Office, 3,571 areas were included in this study. The basic statistics and decile distributions of the SMRs for all the regional levels were calculated, and the small area maps were also produced for some selected regions. To evaluate the precision of SMR, we calculated the 95% confidence intervals of the SMR in selected small areas. Results : The mean and the standard deviation of the SMRs among all small areas were 100.8 and 17.0, respectively. The range was 30.6-211.7 and the inter-quartile range was 20.7. Seoul metropolitan city displayed the lowest mean SMR among 16 regions in South Korea, and 34.6 percent of the small area SMRs belonged to the first decile(the lowest group). On the contrary, the mean SMR of Gyeongsangnam province was highest, and 26.1 percent of the small area SMRs belonged to the tenth decile(the highest group). In some areas, the precision of the SMR, which was calculated by the 95% confidence intervals, remained questionable, yet it was quite stable for almost areas. Conclusions : The standardized mortality ratios can be useful for allocating health resources at the small area level in Korea.

Keywords

References

  1. General Register Office. The Registrer Generalas Decennial Supplement. England and Wales 1951, Part II. Occupational Mortality. London: HMSO; 1958
  2. Yule GU. On some points relating to the vital statistics of occupational mortality. J R Statist Soc 1934; 97(1): 1-84 https://doi.org/10.2307/2342014
  3. Julious SA, Nicholl J, George S. Why do we continue to use standardized mortality ratios for small area comparisons? J Pub Health Med 2001; 23(1): 40-46 https://doi.org/10.1093/pubmed/23.1.40
  4. Rothman KJ, Greenland S. Modern epidemiology, 2nd ed. Philadelphia: Lippincott-Raven; 1998
  5. Gordis L. Epidemiology, 3rd ed. Philadelphia: Elsevier Saunders; 2004
  6. Black D, Morris JN, Smith C, Townsend P, Davidson N. The Black report. In: Townsend P, Navidson N, editors. Inequalities in Health, 2nd ed. London: Penguin Books; 1992. p. 202
  7. Jeong BG, Jung KY, Kim JY, Moon OR, Lee YH, Hong YS, et al. The relationship between regional material deprivation and the standardized mortality ratio of the community residents aged 15-64 in Korea. J Prev Med Public Health 2006; 39(1): 46-52. (Korean)
  8. Kim HK, Kim YC, Paek DM. A SMR study of Korean public servants. J Prev Med Public Health 1997; 30(2): 293-307. (Korean)
  9. Shin YC, Kang JH, Kim CH. Mortality among medical doctors based on the registered cause of death in Korea 1992-2002. J Prev Med Public Health 2005; 38(1): 38-44. (Korean)
  10. Korea National Statistical Office. statistical standards. [cited 2007 Oct 4]. Avaliable from: URL:http://www.nso.go.kr/std2006/k07e__00 00/k07e__0000.html. (Korean)
  11. Vandenbroucke JP. A shortcut method for calculating the 95 percent confidence interval of the standardized mortality ratio. Am J Epidemiol 1982; 115(2): 303-304 https://doi.org/10.1093/oxfordjournals.aje.a113306
  12. Korea National Statistical Office. Annual report of life table statistics 2005. [cited 2007 Apr 4]. Available from: URL:http://www. nso.go.kr. (Korean)
  13. Korea National Statistical Office. Annual Report of Births and Deaths Statistics 2005. [cited 2006 Aug 25]. Available from: URL:http:// www.nso.go.kr. (Korean)
  14. Janes GR, Hutwagner LC, Cates W Jr, Stroup DF, Williamson GD. Descriptive epidemiology: analysing and interpreting surveillance data. In: Teutsch SM, Churchill RE. Principles and Practice of Public Health Surveillance. Oxford: Oxford University Press; 1994. p. 112- 167
  15. Checkoway H, Pearce N, Crawford-Brown DJ. Research Methods in Occupational Epidemiology. Oxford: Oxford University Press; 1989
  16. Hennekens CH, Burning JE. Epidemiology in Medicine. Boston: Little Brown & Company; 1987
  17. Goldman DA, Brender JD. Are standardized mortality ratios valid for public health data analysis? Stat Med 2000; 19(8): 1081-1088 https://doi.org/10.1002/(SICI)1097-0258(20000430)19:8<1081::AID-SIM406>3.0.CO;2-A
  18. Office for National Statistics. Standardized Mortality Ratios for Wards in England and Wlaes, 1999-2003: Results for those aged under 85 for males, females and all persons. [cited 2007 Jul 6]. Available from: URL:http: //www. statistics.gov.uk/downloads/ theme_ health/Ward_SMR_Metadata.pdf
  19. Carstairs V, Morris R. Deprivation and mortality: An alternative to social class? Community Med 1989; 11(3): 210-219
  20. Raleigh VS, Kiri VA. Life expectancy in England: Variations and trends by gender, health authority, and level of deprivation. J Epidemiol Community Health 1997; 51(6): 649-658
  21. Woods LM, Rachet B, Riga M, Stone N, Shah A, Coleman MP. Geographical variation in life expectancy at birth in England and Wales is largely explained by deprivation. J Epidemiol Community Health 2005; 59(2): 115-120 https://doi.org/10.1136/jech.2003.013003
  22. Williams ES, Dinsdale H, Eayres D, Tahzib F. Impact of nursing home deaths on life expectancy calculations in small areas. J Epidemiol Community Health 2004; 58(11): 958-962 https://doi.org/10.1136/jech.2003.017608
  23. Mays N, Chinn S. Relation between all cause standardised mortality ratios and two indices of deprivation at regional and district level in England. J Epidemiol Community Health 1989; 43(2): 191-199 https://doi.org/10.1136/jech.43.2.191
  24. Townsend P. Individual or social responsibility for premature death? Current controversies in the British debate about health. Int J Health Serv 1990; 20(3): 373-392 https://doi.org/10.2190/9Q6H-2KE7-X6FN-3DK8

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