J Korean Med Sci.
2019 Jun;34(23):e168. 10.3346/jkms.2019.34.e168.
Use of the National Health Information Database for Estimating Town-Level Mortality in Korea: Comparison with the National Administrative Data, 2014–2017
- Affiliations
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- 1Department of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea. yhkhang@snu.ac.kr
- 2Big Data Steering Department, National Health Insurance Service, Wonju, Korea.
- 3Institute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, Korea.
- KMID: 2449528
- DOI: http://doi.org/10.3346/jkms.2019.34.e168
Abstract
- BACKGROUND
This study addressed town-level mortality rates using the National Health Information Database (NHID) of the National Health Insurance Service in Korea in comparison with those derived from the National Administrative Data (NAD) of the Ministry of Interior and Safety.
METHODS
We employed the NHID and NAD between 2014 and 2017. We compared the numbers of population and deaths at the national level between these two data sets. We also compared the distribution of the town-level numbers of population and deaths of the two data sets. Correlation analyses were performed to investigate the relation between the NHID and NAD in the town-level numbers of population and deaths, crude mortality rate, and standardized mortality ratio (SMR).
RESULTS
The numbers of population and deaths in the NHID were almost identical to those in the NAD, regardless of gender. The distribution of the town-level numbers of population and deaths was also similar between the two data sets during the entire study period. Throughout the study period, the Pearson correlation coefficients between the two databases for the town-level numbers of population and deaths and the crude mortality rate were 0.996 or over. The correlation coefficients for the SMR ranged from 0.937 to 0.972.
CONCLUSION
Town-level mortality showed significant correlation and concordance between the NHID and NAD. This result highlights the possibility of producing future analyses of town-level health-related indicators in Korea, including the mortality rate, using the NHID.
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