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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2017.1
- 수록면
- 1,764 - 1,770 (7page)
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초록· 키워드
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This study explores whether the National Health Information Database (NHID) can be used to monitor health status of entire population in Korea. We calculated the crude mortality rate and life expectancy (LE) at birth across the national, provincial, and municipal levels using the NHID eligibility database from 2004 to 2015, and compared the results with the corresponding values obtained from the Korean Statistical Information Service (KOSIS) of Statistics Korea. The study results showed that the ratio of crude mortality rate between the two data was 0.99. The absolute difference between the LE of the two data was not more than 0.5 years, and did not exceed 0.3 years in gender specific results. The concordance correlation coefficients (CCC) between the crude mortality rates from NHID and the rates from KOSIS ranged 0.997–0.999 among the municipalities. For LE, the CCC between the NHID and KOSIS across the municipalities were 0.990 in 2004–2009 and 0.985 in 2010–2015 among men, and 0.952 in 2004–2009 and 0.914 in 2010–2015 among women, respectively. Overall, the NHID was a good source for monitoring mortality and LE across national, provincial, and municipal levels with the population representativeness of entire Korean population. The results of this study indicate that NHID may well contribute to the national health promotion policy as a part of the health and health equity monitoring system.
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참고문헌 (11)
참고문헌 신청
Seong SC / 2017 / Data resource profile : the National Health Information Database of the National Health Insurance Service in South Korea / Int J Epidemiol 46:799~800
Chetty R / 2016 / The association between income and life expectancy in the United States, 2001–2014 / JAMA 315:1750~1766
Statistics Korea / Korean Statistical Information Service
Jonker MF / 2012 / Comparison of Bayesian random-effects and traditional life expectancy estimations in small-area applications / Am J Epidemiol 176:929~937
Scherbov S / 2011 / Significance of life table estimates for small populations : simulation-based study of estimation errors / Demogr Res 24:527~550
Chetty R / 2016 / The association between income and life expectancy in the United States, 2001–2014 / JAMA 315:1750~1766
Statistics Korea / Korean Statistical Information Service
Jonker MF / 2012 / Comparison of Bayesian random-effects and traditional life expectancy estimations in small-area applications / Am J Epidemiol 176:929~937
Scherbov S / 2011 / Significance of life table estimates for small populations : simulation-based study of estimation errors / Demogr Res 24:527~550
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