{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T04:43:42Z","timestamp":1791434622910,"version":"4.3.3"},"reference-count":34,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2023,5,28]],"date-time":"2023-05-28T00:00:00Z","timestamp":1685232000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Pharmacoepidemiology and Drug"],"published-print":{"date-parts":[[2023,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background and Objective<\/jats:title><jats:p>Electronic medical record (EMR) databases can facilitate epidemiology research in various diseases including bronchiectasis. Given the diagnostic challenges of bronchiectasis, the validity of the coding in EMR requires clarification. We aimed to assess the validity of International Classification of Diseases, 9th Revision (ICD\u20109) code algorithms for identifying bronchiectasis in the territory\u2010wide electronic medical health record system of Clinical Data Analysis and Reporting System (CDARS) in Hong Kong.<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and Methods<\/jats:title><jats:p>Adult patients who had the diagnosis of bronchiectasis input from Queen Mary Hospital in 2011\u20132020 were identified using the ICD\u20109 code of 494 by CDARS. All patients who had high resolution computed tomography (HRCT) were reviewed by respiratory specialists to confirm the presence of bronchiectasis on HRCT.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A total of 19\u2009617 patients who had the diagnostic code of bronchiectasis among all public hospitals in Hong Kong and 1866 in Queen Mary Hospital in the same period. Six hundred and forty\u2010eight cases were randomly selected and validated using medical record and HRCT review by a respiratory specialist. The overall positive predictive value (PPV) was 92.7% (95% CI 90.7\u201394.7).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>This was the first ICD\u20109 coding validation for bronchiectasis in Hong Kong CDARS. Our study demonstrated that using ICD\u20109 code of 494 was reliable to support utility of CDARS database for further clinical research on bronchiectasis.<\/jats:p><\/jats:sec>","DOI":"10.1002\/pds.5638","type":"journal-article","created":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T00:09:35Z","timestamp":1683850175000},"page":"1077-1082","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Validation of diagnostic coding for bronchiectasis in an electronic health record system in Hong Kong"],"prefix":"10.1002","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5611-1637","authenticated-orcid":false,"given":"Wang Chun","family":"Kwok","sequence":"first","affiliation":[{"name":"Department of Medicine, Queen Mary Hospital University of Hong Kong  Hong Kong SAR 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