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Data resource profile: the allergic disease database of the Korean National Health Insurance Service

Epidemiology and Health 2021년 43권 1호 p.10 ~ 10
유선용, 김동욱, 김영은, 박종헌, 김연용, 조규동, 권미지, 신재인, 이은주,
소속 상세정보
유선용 ( Yoo Sun-Yong ) - National Health Insurance Service Big Data Department
김동욱 ( Kim Dong-Wook ) - National Health Insurance Service Big Data Department
김영은 ( Kim Young-Eun ) - National Health Insurance Service Big Data Department
박종헌 ( Park Jong-Heon ) - National Health Insurance Service Department of Benefits Strategy
김연용 ( Kim Yeon-Yong ) - National Health Insurance Service Big Data Department
조규동 ( Cho Kyu-Dong ) - National Health Insurance Service Big Data Department
권미지 ( Gwon Mi-Ji ) - Chungbuk National University Hospital
신재인 ( Shin Jae-In ) - National Health Insurance Service Big Data Department
이은주 ( Lee Eun-Joo ) - National Health Insurance Service Big Data Department

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 eup, myeon, and dong 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).

키워드

Allergic rhinitis; Atopic dermatitis; Asthma; Database; National health programs

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