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

Cheng Yang Hsieh, Chih Hung Chen, Chung Yi Li, Ming Liang Lai

Research output: Contribution to journalArticlepeer-review

234 Citations (Scopus)


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 433. x0 or 434. x0. 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.

Original languageEnglish
Pages (from-to)254-259
Number of pages6
JournalJournal of the Formosan Medical Association
Issue number3
Publication statusPublished - 2015 Mar 1

All Science Journal Classification (ASJC) codes

  • Medicine(all)


Dive into the research topics of 'Validating the diagnosis of acute ischemic stroke in a National Health Insurance claims database'. Together they form a unique fingerprint.

Cite this