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
  • [41] Delta National Institutes of Health Stroke Scale After Alteplase for Acute Ischemic Stroke
    Alorda, A.
    Ragusa, A.
    Cesarz, T.
    Diers, N.
    Ganti, L.
    ANNALS OF EMERGENCY MEDICINE, 2022, 80 (04) : S103 - S104
  • [42] Validity of the Diagnosis of Acute Myocardial Infarction in Korean National Medical Health Insurance Claims Data: The Korean Heart Study (1)
    Kimm, Heejin
    Yun, Ji Eun
    Lee, Sang-Hak
    Jang, Yangsoo
    Jee, Sun Ha
    KOREAN CIRCULATION JOURNAL, 2012, 42 (01) : 10 - 15
  • [43] How are new drugs disseminated in Japan? Analysis using the National Database of Health Insurance Claims of Japan
    Watanabe, Tomone
    Sugiyama, Takehiro
    Imai, Kenjiro
    Higashi, Takahiro
    CANCER SCIENCE, 2022, 113 (05) : 1771 - 1778
  • [44] An epidemiological study of hip fractures in Korean women: Estimated from a national health insurance claims database
    Kang, H.
    Yang, K.
    Moon, S.
    Kwon, S.
    Park, J.
    Kang, D.
    Park, S.
    JOURNAL OF BONE AND MINERAL RESEARCH, 2007, 22 : S432 - S432
  • [45] Adherence to HIV treatment in 2019: the COCOVIH study using the French national health insurance claims database
    du Clary, F. Prevoteau
    Majerholc, C.
    Zucman, D.
    Livrozet, J.
    Vallee, A.
    Laurendeau, C.
    Bouee, S.
    JOURNAL OF THE INTERNATIONAL AIDS SOCIETY, 2022, 25 : 74 - 75
  • [46] Management of bone fragility in patients with rheumatoid arthritis in France: An analysis of a national health insurance claims database
    Roux, Christian
    Cortet, Bernard
    Chapurlat, Roland
    Levy-Weil, Florence E.
    Marcade-Fulcrand, Veronique
    Desjeux, Guillaume
    Thomas, Thierry
    JOINT BONE SPINE, 2022, 89 (04)
  • [47] Clinical Management of Patients with Dengue Infection in Japan: Results from National Database of Health Insurance Claims
    Kajimoto, Yusuke
    Kitajima, Tsutomu
    AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, 2020, 102 (01): : 191 - 194
  • [48] A review of the Ghana National Health Insurance Scheme claims database: possibilities and limits for drug utilization research
    Ankrah, Daniel
    Hallas, Jesper
    Odei, James
    Asenso-Boadi, Francis
    Dsane-Selby, Lydia
    Donneyong, Macarius
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2019, 124 (01) : 18 - 27
  • [49] Clinical Research Using the Large Health Insurance Claims Database
    Takekuma, Yoh
    Imai, Shungo
    Sugawara, Mitsuru
    YAKUGAKU ZASSHI-JOURNAL OF THE PHARMACEUTICAL SOCIETY OF JAPAN, 2022, 142 (04): : 331 - 336
  • [50] Pulmonary embolism, acute coronary syndrome and ischemic stroke in the Spanish National Discharge Database
    Guijarro, Ricardo
    de Miguel-Diez, Javier
    Jimenez, David
    Trujillo-Santos, Javier
    Otero, Remedios
    Barba, Raquel
    Monreal, Manuel
    EUROPEAN JOURNAL OF INTERNAL MEDICINE, 2016, 28 : 65 - 69