-
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
-
-
14,425
View
-
431
Download
-
3
Web of Science
-
3
Crossref
-
Abstract
Summary
PDFSupplementary Material
-
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
Citations to this article as recorded by
- Evaluation of the Regulatory Required Post-Authorization Safety Study for Propacetamol: Nested Case-Control and Case-Time-Control Studies
Sungho Bea, Dongwon Yoon, Han Eol Jeong, Juhong Jung, Seung-Mok Park, Juhee Jeon, Young-Min Ye, Jae-Hyun Lee, Ju-Young Shin Yonsei Medical Journal.2024; 65(2): 120. CrossRef - The relationship between exposure to environmental noise and risk of atopic dermatitis, asthma, and allergic rhinitis
Yongho Lee, Seunghyun Lee, Seula Park, Seong-Kyu Kang, June-Hee Lee, Dong-Wook Lee, Won-Jun Choi, Wanhyung Lee Ecotoxicology and Environmental Safety.2023; 268: 115677. CrossRef - Increased risk of cataract surgery in patients with allergic disease: a population based cohort study
Ji-Sun Paik, Kyungdo Han, Gahee Nam, Sun-Kyoung Park, Ho Sik Hwang, Yoon Hong Chun, Kyung-Sun Na Scientific Reports.2022;[Epub] CrossRef
|