• The Korean Journal of Applied Statistics
• /
• v.30 no.1
• /
• pp.13-24
• /
• 2017

The Sample Cohort DB supplied by the National Health Insurance Service is a valuable resource for statistical studies as well as for health and medical studies. It takes significant time and effort to extract data from this Cohort DB having a large size. As such, we introduce a database system, conveniently called the National Health Insurance Service Cohort DB Extract Tool (NICE Tool), which supports several useful operations for effectively and efficiently managing the Cohort DB. For example, researchers can extract variables and cases related with study by simply clicking a computer mouse without any prior knowledge regarding SAS DATA step or SQL. We expect that NICE Tool will facilitate the faster extraction of data and eventually lead to the active use of the Cohort DB for research purposes.

• The Journal of the Korea Contents Association
• /
• v.22 no.9
• /
• pp.561-569
• /
• 2022

A study was conducted to determine whether there is a difference in the incidence of kidney cancer according to income level and the difference in delayed diagnosis. To this end, the incidence of kidney cancer in Korea was analyzed by income level and by stage. From 2015 to 2017, a national kidney cancer cohort was established by linking the KCCR(Korea Central Cancer Registry), NHISS(National health insurance sharing service), and the HIRA(Health insirance review and assessment service) database to calculate the kidney cancer incidence by stage and income level. During the study period, the incidence of kidney cancer in Korea increased in all income deciles, but decreased only in the medical aid population. The incidence of kidney cancer in Korea was 7.35 per 100,000 people, and 83.54% of them were locoregional kidney cancer. In the top 20% of the income decile, there was a high incidence of 21.46 cases per 100,000 people, among which 18.37 cases were locoregional kidney cancer. On the other hand, even after adjusting for risk factors related to kidney cancer, it was confirmed that the lower the income level, the higher the risk of being diagnosed with kidney cancer with distant metastasis (lowest income 20% adj.OR 1.807, 95% CI 1.411-2.222). In the insured population, the risk ratio of being diagnosed with unknown stage was 1.926 (95% CI 1.317, 2.816). The higher the income level, the higher the frequency of early cancer diagnosis, but the lower the income level, the higher the risk of being diagnosed with metastatic kidney cancer or an unknown stage, so health inequality according to income level was observed.