2020
DOI: 10.2147/clep.s236823
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<p>Validity of ICD-10-CM Codes Used to Identify Patients with Chronic Hepatitis B and C Virus Infection in Administrative Claims Data from the Taiwan National Health Insurance Outpatient Claims Dataset</p>

Abstract: Purpose: To validate the use of International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes to identify patients with chronic hepatitis B virus (HBV) and hepatitis C virus (HCV) infection in the Taiwan National Health Insurance (NHI) Outpatient Claims Dataset. Methods: We conducted a retrospective study using results of HBV surface antigen (HBsAg), HBV e antigen (HBeAg), and anti-HCV antibody tests in the NHI Lab & Exam Dataset from January 1 to March 31, 2018, as the refe… Show more

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Cited by 16 publications
(20 citation statements)
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“…The HWDS claim data, which are managed by the Taiwan MOHW, consist of all medical records of more than 99% Taiwanese residents 22 . The diagnostic accuracy of the major diseases such as stroke, cardiovascular, and cancers was confirmed in other studies 22‐24 . The database is linked to the cancer patient data from the TCR and patient mortality from the TDR 25 .…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The HWDS claim data, which are managed by the Taiwan MOHW, consist of all medical records of more than 99% Taiwanese residents 22 . The diagnostic accuracy of the major diseases such as stroke, cardiovascular, and cancers was confirmed in other studies 22‐24 . The database is linked to the cancer patient data from the TCR and patient mortality from the TDR 25 .…”
Section: Methodsmentioning
confidence: 99%
“…22 The diagnostic accuracy of the major diseases such as stroke, cardiovascular, and cancers was confirmed in other studies. [22][23][24] The database is linked to the cancer patient data from the TCR and patient mortality from the TDR. 25 This study was approved by the institutional review board committee at Taipei Medical University, and the data were anonymized before analysis.…”
Section: Study Design and Data Sourcementioning
confidence: 99%
“…As described above, algorithms for identifying cirrhosis have been validated in multiple datasets by multiple authors [ 7 , 8 , 9 ]. Coding algorithms have also been used to successfully identify cohorts with alcohol liver disease [ 8 ], non-alcoholic fatty liver disease [ 14 , 36 ], hepatitis C virus infection [ 8 , 37 , 38 , 39 ], and—with slightly less success—chronic hepatitis B virus infection [ 8 , 38 , 39 ]. Using the US Medicare database, we identified a cohort of patients with cirrhosis whose risk of incident diagnoses of HE were influenced by etiology (particularly alcohol-related liver disease), the presence of portal hypertension, comorbidities, and polypharmacy (particularly benzodiazepines, opioids, and proton pump inhibitors) [ 40 ].…”
Section: Identifying Risk Factors For Hepatic Encephalopathymentioning
confidence: 99%
“…6 inTable 2, the unit recorded in unit variable is S/N; nevertheless, the unit recorded in reference value is COI. The percentage of this kind of incompatible problem was 12.6% in 2015 and decreased to 7.5% in 2019 25.…”
mentioning
confidence: 94%