메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류
인문학
인문학 일반 역사학 철학 종교학 어문학 기타 인문학
사회과학
사회과학 일반 경영학 관광학 교육학 군사학 문헌정보학 법학 사회학 신문방송학 심리과학 정치외교학 지리학 행정학 경제학 무역학 인류학 기타 사회과학
자연과학
자연과학 일반 물리학 생물학 생활과학 수학·통계학 천문학 지구과학 화학 기타 자연과학
공학
공학 일반 건축공학 기계공학 산업공학 재료·에너지공학 전기전자공학 조선해양공학 화학공학 컴퓨터학 기타공학
의약학
의학 일반 간호학 수의학 약학 한의학 기초의학 임상의학 기타 의약학
농수해양학
농수해양학 일반 농학 수산학 식품과학 임학 축산학 해상운송학 기타 농수해양학
예술체육학
예술 일반 디자인 미술 미용 사진 음악학 의상 체육 공연매체예술 기타 예술체육학
복합학
학제간연구 과학기술학 뇌인지과학 기술정책 기타 복합학

ENG

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
Kim Tae Jung (Department of Critical Care Medicine, Seoul National University Hospital, Seoul, Republic of Korea) Lee Hak Seung (Medical AI Co., Ltd., Seoul, Republic of Korea) Kim Seong-Eun (Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea) Park Jinju (Central Division of Cardio-cerebrovascular Disease Management, Seoul National University Hospital, Seoul, Republic of Korea) Kim Jun Yup (Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.) Lee Ji Yoon (Department of Biostatistics, Korea University College of Medicine, Seoul, Korea.) Song Ji Eun (Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea) Hong Jin-Hyuk (Central Division of Cardio-cerebrovascular Disease Management, Seoul National University Hospital, Seoul, Republic of Korea) Lee Joongyub (Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.) Chung Joong-Hwa (Department of Cardiology, Chosun University Hospital, Gwangju, Republic of Korea) Kim Hyeon Chang (Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea) Shin Dong-Ho (Department of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea) Lee Hae-Young (Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea) Kim Bum Joon (Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea) Seo Woo-Keun (Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea) Park Jong-Moo (Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University, Seoul, Republic of Korea) Lee Soo Joo (Department of Neurology, Daejeon Eulji Medical Center, Eulji University, Daejeon, Korea.) Jung Keun-Hwa (Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea) Kwon Sun U. (Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea) Hong Yun-Chul (Department of Preventive Medicine, College of Medicine, Seoul National University) Kim Hyo-Soo (Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.) Kang Hyun-Jae (Department of Internal Medicine, Seoul National University Hospital) Lee Juneyoung (Department of Biostatistics, Korea University College of Medicine, Seoul, Korea.) Bae Hee-Joon (Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.)
저널정보
질병관리본부 Osong Public Health and Research Persptectives Osong Public Health and Research Perspectives Vol.15 No.1
발행연도
2024.2
수록면
18 - 32 (15page)
DOI
10.24171/j.phrp.2023.0248

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Objectives: Limited information is available concerning the epidemiology of stroke and acute myocardial infarction (AMI) in the Republic of Korea. This study aimed to develop a national surveillance system to monitor the incidence of stroke and AMI using national claims data.Methods: We developed and validated identification algorithms for stroke and AMI using claims data. This validation involved a 2-stage stratified sampling method with a review of medical records for sampled cases. The weighted positive predictive value (PPV) and negative predictive value (NPV) were calculated based on the sampling structure and the corresponding sampling rates. Incident cases and the incidence rates of stroke and AMI in the Republic of Korea were estimated by applying the algorithms and weighted PPV and NPV to the 2018 National Health Insurance Service claims data.Results: In total, 2,200 cases (1,086 stroke cases and 1,114 AMI cases) were sampled from the 2018 claims database. The sensitivity and specificity of the algorithms were 94.3% and 88.6% for stroke and 97.9% and 90.1% for AMI, respectively. The estimated number of cases, including recurrent events, was 150,837 for stroke and 40,529 for AMI in 2018. The age- and sex-standardized incidence rate for stroke and AMI was 180.2 and 46.1 cases per 100,000 person-years, respectively, in 2018.Conclusion: This study demonstrates the feasibility of developing a national surveillance system based on claims data and identification algorithms for stroke and AMI to monitor their incidence rates.
#Incidence #Myocardial infarction #Population characteristics #Population surveillance #Stroke

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청
참고문헌이 DBpia에서 서비스 중이라면, [참고문헌 신청]을 통해 등록해보세요

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

최근 본 자료

전체보기

댓글(0)

0