Epidemiology and Health

Data Profile

Data resource profile: the allergic disease database of the Korean National Health Insurance Service: Sunyong Yoo, Dong-Wook Kim, Young-Eun Kim, Jong Heon Park, Yeon-Yong Kim, Kyu-dong Cho, Mi-Ji Gwon, Jae-In Shin, Eun-Joo Lee; Epidemiol Health. 2021;43:e2021010. Published online January 21, 2021; DOI: https://doi.org/10.4178/epih.e2021010

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Abstract

Researchers have been interested in probing how the environmental factors associated with allergic diseases affect the use of medical services. Considering this demand, we have constructed a database, named the Allergic Disease Database, based on the National Health Insurance Database (NHID). The NHID contains information on demographic and medical service utilization for approximately 99% of the Korean population. This study targeted 3 major allergic diseases, including allergic rhinitis, atopic dermatitis, and asthma. For the target diseases, our database provides daily medical service information, including the number of daily visits from 2013 and 2017, categorized by patients’ characteristics such as address, sex, age, and duration of residence. We provide additional information, including yearly population, a number of patients, and averaged geocoding coordinates by <i>eup, myeon</i>, and <i>dong</i> district code (the smallest-scale administrative units in Korea). This information enables researchers to analyze how daily changes in the environmental factors of allergic diseases (e.g., particulate matter, sulfur dioxide, and ozone) in certain regions would influence patients’ behavioral patterns of medical service utilization. Moreover, researchers can analyze long-term trends in allergic diseases and the health effects caused by environmental factors such as daily climate and pollution data. The advantages of this database are easy access to data, additional levels of geographic detail, time-efficient data-refining and processing, and a de-identification process that minimizes the exposure of identifiable personal information. All datasets included in the Allergic Disease Database can be downloaded by accessing the National Health Insurance Service data sharing webpage (https://nhiss.nhis.or.kr).

Summary

Korean summary
알레르기질환DB는 환경적 변화와 의료이용 연관성 연구를 지원하기 위해 만들어진 누구나 다운로드 가능한 공개용DB이다. 알레르기질환DB는 한국 전국민의 사회인구학적 특성 및 의료이용 정보가 구축되어 있는 국민건강보험공단의 국민건강정보DB를 활용하여 구축되었다. 알레르기질환DB는 2013년~2017년 알레르기성 비염, 아토피, 천식 상병코드로 청구된 의료이용 정보를 제공하고 있으며, 이를 활용하여 특정 지역에 다양한 환경적 변화와 의료이용과의 연관성 연구 등에 활발히 활용될 것으로 기대된다.

Key Message
The Allergic Disease Database based on the National Health Insurance Data is constructed for analyzing how environmental factors affect the use of medical services. The database provides most Korean medical service information of allergic diseases, such as allergic rhinitis, atopic dermatitis, and asthma from 2013 and 2017. This information enables researchers to study how daily changes of environmental factors in certain regions would influence patients’ behavioral patterns of medical service utilization. Moreover, researchers can analyze the long-term trend of allergic diseases, and health effects caused by environmental factors such as daily climate and pollution data.

Citations

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Original Article

Effects of living in the same region as one’s workplace on the total fertility rate of working women in Korea: Yeon-Yong Kim, Hee-Jin Kang, Seongjun Ha, Jong Heon Park; Epidemiol Health. 2019;41:e2019043. Published online October 9, 2019; DOI: https://doi.org/10.4178/epih.e2019043

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Abstract Summary PDF

Abstract

OBJECTIVES
The lowest-low fertility status of Korea has continued for the past 17 years despite governmental efforts to encourage childbirth. As the number of working women has increased, their residence patterns have changed; however, the impact of this factor has yet to be explored. Therefore, this study was conducted to investigate the effects of residence patterns relative to the workplace on the total fertility rate of working women.

METHODS

Information on eligibility and healthcare utilization was obtained from the National Health Information Database between 2011 and 2015. The study participants were working women aged 15-49 years. We classified their residence relative to their workplace into 3 patterns: same municipality, same province, and different province. The total fertility rate was calculated and logistic regression was performed of childbirth according to residence pattern, adjusting for age, insurance contribution quartile, size of the workplace, year of birth, and province of residence.

RESULTS

The total fertility rates of working women from 2011 to 2015 were 1.091, 1.139, 1.048, 1.073, and 1.103, respectively. The total fertility rate by residence pattern was highest in women residing in the same municipality as their workplace. After adjustment, the odds of childbirth in women from the same municipality and the same province were 21.6% and 16.0% higher than those of women residing in a different province, respectively.

CONCLUSIONS

The total fertility rate was higher among women living near their workplace. Therefore, effective policy measures should be taken to promote the proximity of working women’s workplace and residence.

Summary

Korean summary
이 연구를 통하여 직장과 동일한 시군구에 거주하는 직장 여성의 출산율이 타 시군구 및 타 시도에 거주하는 경우보다 더 높게 나타나는 것을 확인하였다. 기존 인구사회학적 특성 위주의 출산 관련 연구에 비해 이 연구에서는 직장과 거주지의 차이의 영향을 확인하였다는 데 의의가 있다. 저출산 대책에 대한 다양한 정책적 접근이 요구되는 시점에 직장 여성의 출산율을 높이기 위하여 거주지 대책 등이 종합적으로 고려될 수 있음을 시사한다.

Citations

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HASTA GÖZÜYLE ANNE DOSTU HASTANE KRİTERLERİ
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Data Profile

Family tree database of the National Health Information Database in Korea: Yeon-Yong Kim, Hae-young Hong, Kyu-Dong Cho, Jong Heon Park; Epidemiol Health. 2019;41:e2019040. Published online October 1, 2019; DOI: https://doi.org/10.4178/epih.e2019040

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Abstract Summary PDF Supplementary Material

Abstract

We constructed the family tree database (DB) by using a new family code system that can logically express interpersonal family relationships and by comparing and complementing health insurance eligibility data and resident register data of the National Health Information Database (NHID). In the family tree DB, Parents and grandparents are matched for more than 95% of those who were born between 2010 and 2017. Codes for inverse relationships and extended relationships are generated using sequences of the three-digit basic family codes. The family tree DB contains variables such as sex, birth year, family relations, and degree of kinship (maximum of 4) between subjects and family members. Using the family tree DB, we find that prevalence rates of hypertension, diabetes, ischemic heart disease, cerebrovascular disease, and cancer are higher for those with family history. The family tree DB may omit some relationships due to incomplete past data, and some family relations cannot be uniquely determined because the source data only contain relationships between head and members of the household. The family tree DB is a part of the NHID, and researchers can submit requests for data on the website at http://nhiss.nhis.or.kr. Requested data will be provided after approval from the data service review board. However, the family tree DB can be limitedly provided for studies with high public value in order to maximize personal information protection.

Summary

Korean summary
가족관계도(family tree) DB는 건강보험공단이 보유하는 건강보험 가입자정보와 행정전산망 정보를 바탕으로 가공·구축된 자료다. 4촌까지의 가족 관계를 파악할 수 있으며, 세대주 중심의 관계코드가 아닌 개인 단위의 논리적 기호로 구성된 관계코드를 통해 촌수, 계통, 성별을 구분하도록 하였다. 이를 바탕으로 의학적, 사회정책적으로 다양한 연구가 가능하다.

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