Àá½Ã¸¸ ±â´Ù·Á ÁÖ¼¼¿ä. ·ÎµùÁßÀÔ´Ï´Ù.
KMID : 1188320200140060833
Gut and Liver
2020 Volume.14 No. 6 p.833 ~ p.841
Recent 5-Year Trend of Endoscopic Retrograde Cholangiography in Korea Using National Health Insurance Review and Assessment Service Open Data
Park Jin-Myung

Kang Chang-Don
Lee Jong-Chan
Hwang Jin-Hyeok
Kim Jai-Hwan
Abstract
Background/Aims: The utilization of endoscopic retrograde cholangiopancreatography (ERCP) is variable and largely dependent on a patient¡¯s age, sex, and region. Herein we analyzed the publicly available Health Insurance Review and Assessment (HIRA) database with the aim of understanding the current status and trend of ERCP use in Korea.

Methods: Between 2013 and 2017, information regarding ERCP was acquired from the HIRA database using the procedural codes of the Korean Standard Classification of Disease. We analyzed the annual number of patients according to age in 10- year increments, sex, type of medical institution, and administrative division.

Results: The total number of patients and number of patients undergoing ERCP per 100,000 people increased from 40,516 and 78.6 in 2013 to 47,027 and 91.3 in 2017, respectively those aged 70 years accounted for the highest number, and the increase was the most prominent in those aged 80 years or older. Men underwent more ERCPs than women, except in younger patients (<40 years). Most ERCPs were performed at tertiary and general hospitals; however, the ratios between the two types of institutions were different according to the procedure. There were different patterns of patients associated with each procedure according to the administrative division. Therapeutic ERCP was performed more frequently than diagnostic ERCP.

Conclusions: Most procedures in Korea were therapeutic, and the increase in patients was most prominent in those aged 80 years or older. The utilization of ERCP increased markedly and varied depending on age, sex, type of medical institution, and region.
KEYWORD
Cholangiopancreatography, endoscopic retrograde, Demography, Big data, Republic of Korea, Health services
FullTexts / Linksout information
 
Listed journal information
SCI(E) MEDLINE ÇмúÁøÈïÀç´Ü(KCI) KoreaMed