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Current status of and trends in post-mastectomy breast reconstruction in Korea

Authors
 Woo Jin Song  ;  Sang Gue Kang  ;  Eun Key Kim  ;  Seung Yong Song  ;  Joon Seok Lee  ;  Jung Ho Lee  ;  Ung Sik Jin 
Citation
 Archives of Plastic Surgery, Vol.47(2) : 118-125, 2020-03 
Journal Title
Archives of Plastic Surgery
ISSN
 2234-6163 
Issue Date
2020-03
Keywords
Big data ; Breast neoplasms ; Insurance ; Mammaplasty ; Statistics
Abstract
Since April 2015, post-mastectomy breast reconstruction has been covered by the Korean National Health Insurance Service (NHIS). The frequency of these procedures has increased very rapidly. We analyzed data obtained from the Big Data Hub of the Health Insurance Review and Assessment Service (HIRA) and determined annual changes in the number of breast reconstruction procedures and related trends in Korea. We evaluated the numbers of mastectomy and breast reconstruction procedures performed between April 2015 and December 2018 using data from the HIRA Big Data Hub. We determined annual changes in the numbers of total, autologous, and implant breast reconstructions after NHIS coverage commenced. Data were analyzed using Microsoft Excel. The post-mastectomy breast reconstruction rate increased from 19.4% in 2015 to 53.4% in 2018. In 2015, implant reconstruction was performed in 1,366 cases and autologous reconstruction in 905 (60.1% and 39.8%, respectively); these figures increased to 3,703 and 1,570 (70.2% and 29.7%, respectively) in 2018. Free tissue transfer and deep inferior epigastric perforator flap creation were the most common autologous reconstruction procedures. For implant-based reconstructions, the rates of directto-implant and tissue-expander breast reconstructions (first stage) were similar in 2018. This study summarizes breast reconstruction trends in Korea after NHIS coverage was expanded in 2015. A significant increase over time in the post-mastectomy breast reconstruction rate was evident, with a trend toward implant-based reconstruction. Analysis of data from the HIRA Big Data Hub can be used to predict breast reconstruction trends and convey precise information to patients and physicians.
Files in This Item:
T202004945.pdf Download
DOI
10.5999/aps.2019.01676
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Plastic and Reconstructive Surgery (성형외과학교실) > 1. Journal Papers
Yonsei Authors
Song, Seung Yong(송승용) ORCID logo https://orcid.org/0000-0002-3145-7463
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/180590
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