Evidence map›Paper›PMID 38481047›Full record

ArticleOsong public health and research perspectives2024

Developing a national surveillance system for stroke and acute myocardial infarction using claims data in the Republic of Korea: a retrospective study.

Tae Jung Kim, Hak Seung Lee, Seong-Eun Kim, Jinju Park, Jun Yup Kim, Jiyoon Lee, Ji Eun Song, Jin-Hyuk Hong, Joongyub Lee, Joong-Hwa Chung and 14 more

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Article in Osong public health and research perspectives, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

24 authors.

Tae Jung KimDepartment of Critical Care Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Hak Seung LeeMedical AI Co., Ltd., Seoul, Republic of Korea.
Seong-Eun KimDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.
Jinju ParkCentral Division of Cardio-cerebrovascular Disease Management, Seoul National University Hospital, Seoul, Republic of Korea.
Jun Yup KimDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.
Jiyoon LeeDepartment of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea.
Ji Eun SongDepartment of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea.
Jin-Hyuk HongCentral Division of Cardio-cerebrovascular Disease Management, Seoul National University Hospital, Seoul, Republic of Korea.
Joongyub LeeDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Joong-Hwa ChungDepartment of Cardiology, Chosun University Hospital, Gwangju, Republic of Korea.
Hyeon Chang KimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Dong-Ho ShinDepartment of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hae-Young LeeDepartment of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea.
Bum Joon KimDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Woo-Keun SeoDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Jong-Moo ParkDepartment of Neurology, Uijeongbu Eulji Medical Center, Eulji University, Seoul, Republic of Korea.
Soo Joo LeeDepartment of Neurology, Daejeon Eulji Medical Center, Eulji University, Daejeon, Republic of Korea.
Keun-Hwa JungDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
Sun U KwonDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Yun-Chul HongDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Hyo-Soo KimDepartment of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea.
Hyun-Jae KangDepartment of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea.
Juneyoung LeeDepartment of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea.
Hee-Joon BaeDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLimited 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.

methodsWe 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.

resultsIn 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.

conclusionThis 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.

Indexed as

IncidenceMyocardial infarctionPopulation characteristicsPopulation surveillanceStroke

Identifiers

PMID38481047
PMCPMC10982659

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.