Evidence map›Paper›PMID 31197985›Full record

ArticleJournal of Korean medical science2019

Use of the National Health Information Database for Estimating Town-Level Mortality in Korea: Comparison with the National Administrative Data, 2014-2017.

Ikhan Kim, Youngs Chang, Hee Yeon Kang, Yeon Yong Kim, Jong Heon Park, Young Ho Khang

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Article in Journal of Korean medical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ikhan KimDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-6428-4159
Youngs ChangDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-4722-6894
Hee Yeon KangDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-8530-8087
Yeon Yong KimBig Data Steering Department, National Health Insurance Service, Wonju, Korea.ORCID https://orcid.org/0000-0003-2179-8931
Jong Heon ParkBig Data Steering Department, National Health Insurance Service, Wonju, Korea.ORCID https://orcid.org/0000-0002-4749-5878
Young Ho KhangDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9585-8266

Funding

Ministry of Health and Welfare HI18C0446
6 · The paper itself

Abstract

backgroundThis 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.

methodsWe 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).

resultsThe 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.

conclusionTown-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.

Indexed as

Databases, FactualFemaleHumansMaleMortalityNational Health ProgramsRepublic of KoreaCorrelation of DataHealth StatusMortalityPopulationRepublic of Korea

Identifiers

PMID31197985
PMCPMC6565926

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