Validating the diagnosis of acute ischemic stroke in a National Health Insurance claims database

被引:311
|
作者
Hsieh, Cheng-Yang [1 ,2 ,3 ]
Chen, Chih-Hung [4 ,5 ]
Li, Chung-Yi [6 ,7 ]
Lai, Ming-Liang [3 ,4 ,5 ]
机构
[1] Tainan Sin Lau Hosp, Stroke Ctr, Tainan, Taiwan
[2] Tainan Sin Lau Hosp, Dept Neurol, Tainan, Taiwan
[3] Natl Cheng Kung Univ, Inst Clin Pharm & Pharmaceut Sci, Tainan 70101, Taiwan
[4] Natl Cheng Kung Univ, Coll Med, Natl Cheng Kung Univ Hosp, Stroke Ctr, Tainan 70101, Taiwan
[5] Natl Cheng Kung Univ, Coll Med, Dept Neurol, Tainan 70101, Taiwan
[6] Natl Cheng Kung Univ, Coll Med, Inst Publ Hlth, Tainan 70101, Taiwan
[7] China Med Univ, Coll Publ Hlth, Dept Publ Hlth, Taichung, Taiwan
关键词
acute ischemic stroke; claims data; diagnosis; National Health Insurance; Taiwan Stroke Registry; validation; TAIWAN; RISK;
D O I
10.1016/j.jfma.2013.09.009
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background/purpose: The National Health Insurance Research Database, which uses claims data from hospitals contracted with the National Health Insurance (NHI) program in Taiwan, has been widely used for stroke research. The diagnostic accuracy of the NHI claims data with regard to acute ischemic stroke (AIS) has rarely been validated. The aim of this study was to validate the diagnosis of AIS in NHI claims data using the Taiwan Stroke Registry (TSR) as a reference. Methods: We retrieved patients' data with a discharge diagnosis of AIS [five-digit International Classification of Diseases Code, 9th version (ICD-9 code): 433xx or 434xx] in a single medical center from August 2006 to December 2008. We then linked these patients to the TSR to validate their AIS diagnosis in the claims data. The positive predictive value (PPV) and sensitivity were determined. Results: We reviewed the claims data of 1736 consecutive AIS patients, of whom 1299 (74.8%) were linked successfully to the stroke registry database. After reviewing the medical records and imaging results of other patients not linked to the registry database (n = 437), 235 patients were found to have had an AIS. The PPV was 88.4% [95% confidence interval (CI): 86.8-89.8%] and sensitivity was 97.3% (95% CI: 96.4-98.1%). Forty-four (21.8%) of the false-positive cases (n = 202) were coded as 433x0 or 434x0. Conclusion: The PPV of a diagnosis of AIS in the NHI claims data was high. Using five-digit ICD-9 codes to identify AIS cases will markedly decrease the false-positive rate compared with using the commonly used three-digit method. Copyright (C) 2013, Elsevier Taiwan LLC & Formosan Medical Association. All rights reserved.
引用
收藏
页码:254 / 259
页数:6
相关论文
共 50 条
  • [21] THE ROLE OF ALFA-FETOPROTEIN IN HCC SURVEILLANCE IN A NATIONAL HEALTH INSURANCE CLAIMS DATABASE
    Ahn, Sang Bong
    Jun, Dae Won
    Oh, Joo Hyun
    Yoon, Eileen
    HEPATOLOGY, 2023, 78 : S1901 - S1901
  • [22] An algorithm for identifying chronic kidney disease in the French national health insurance claims database
    Mansouri, Imene
    Raffray, Maxime
    Lassalle, Mathilde
    de Vathaire, Florent
    Fresneau, Brice
    Fayech, Chiraz
    Lazareth, Helene
    Haddy, Nadia
    Bayat, Sahar
    Couchoud, Cecile
    NEPHROLOGIE & THERAPEUTIQUE, 2022, 18 (04): : 255 - 262
  • [23] Development of an algorithm for identifying rheumatoid arthritis in the Korean National Health Insurance claims database
    Soo-Kyung Cho
    Yoon-Kyoung Sung
    Chan-Bum Choi
    Jeong-Mi Kwon
    Eui-Kyung Lee
    Sang-Cheol Bae
    Rheumatology International, 2013, 33 : 2985 - 2992
  • [24] Fragility Fractures in Older People in Japan Based on the National Health Insurance Claims Database
    Iihara, Naomi
    Ohara, Eri
    Bando, Yoshinori
    Yoshida, Tomoji
    Ohara, Masaki
    Kirino, Yutaka
    BIOLOGICAL & PHARMACEUTICAL BULLETIN, 2019, 42 (05) : 778 - 785
  • [25] Linkage Rate Between Data From Health Checks and Health Insurance Claims in the Japan National Database
    Okamoto, Etsuji
    JOURNAL OF EPIDEMIOLOGY, 2014, 24 (01) : 77 - 83
  • [26] History of the secondary use of national database of health insurance claims and specific health checkups of Japan(NDB)
    Kato G.
    Kato, Genta, 2017, Japan Soc. of Med. Electronics and Biol. Engineering (55): : 143 - 150
  • [27] Use of the dental formula from the National Database of Health Insurance Claims and Specific Health Checkups of Japan
    Tsuneishi, Midori
    Yamamoto, Tatsuo
    Yamaguchi, Takeyuki
    Kodama, Tsuyoshi
    Sato, Tamotsu
    JAPANESE DENTAL SCIENCE REVIEW, 2022, 58 : 52 - 58
  • [28] Development of an Algorithm for Stroke Prediction: A National Health Insurance Database Study in Korea
    Min, Seung Nam
    Park, Se Jin
    Kim, Dong Joon
    Subramaniyam, Murali
    Lee, Kyung-Sun
    EUROPEAN NEUROLOGY, 2018, 79 (3-4) : 214 - 220
  • [29] Polyethylene Glycol and Acute Renal Failure in Elderly: Data-Mining Study Using National Health Insurance Claims Database
    Choi, Nam-Kyong
    Choi, Yu-Kyong
    Jung, Sun-Young
    Chang, Yoosoo
    Kim, Ju-Young
    Song, Hong-Ji
    Lee, Joongyub
    Park, Byung-Joo
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2010, 19 : S126 - S126
  • [30] Sex Differences in the Treatment and Outcome of Korean Patients With Acute Myocardial Infarction Using the Korean National Health Insurance Claims Database
    Hong, Jae-Seok
    Kang, Hee-Chung
    MEDICINE, 2015, 94 (35) : e1401