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dc.contributor.authorKhan, A
dc.contributor.authorRamsey, K
dc.contributor.authorBallard, C
dc.contributor.authorArmstrong, E
dc.contributor.authorBurchill, LJ
dc.contributor.authorMenashe, V
dc.contributor.authorPantely, G
dc.contributor.authorBroberg, CS
dc.date.accessioned2020-12-17T04:35:34Z
dc.date.available2020-12-17T04:35:34Z
dc.date.issued2018-01-23
dc.identifierpii: JAHA.117.007378
dc.identifier.citationKhan, A., Ramsey, K., Ballard, C., Armstrong, E., Burchill, L. J., Menashe, V., Pantely, G. & Broberg, C. S. (2018). Limited Accuracy of Administrative Data for the Identification and Classification of Adult Congenital Heart Disease. JOURNAL OF THE AMERICAN HEART ASSOCIATION, 7 (2), https://doi.org/10.1161/JAHA.117.007378.
dc.identifier.issn2047-9980
dc.identifier.urihttp://hdl.handle.net/11343/255375
dc.description.abstractBACKGROUND: Administrative data sets utilize billing codes for research and quality assessment. Previous data suggest that such codes can accurately identify adults with congenital heart disease (CHD) in the cardiology clinic, but their use has yet to be validated in a larger population. METHODS AND RESULTS: All administrative codes from an entire health system were queried for a single year. Adults with a CHD diagnosis code (International Classification of Diseases, Ninth Revision, (ICD-9) codes 745-747) defined the cohort. A previously validated hierarchical algorithm was used to identify diagnoses and classify patients. All charts were reviewed to determine a gold standard diagnosis, and comparisons were made to determine accuracy. Of 2399 individuals identified, 206 had no CHD by the algorithm or were deemed to have an uncertain diagnosis after provider review. Of the remaining 2193, only 1069 had a confirmed CHD diagnosis, yielding overall accuracy of 48.7% (95% confidence interval, 47-51%). When limited to those with moderate or complex disease (n=484), accuracy was 77% (95% confidence interval, 74-81%). Among those with CHD, misclassification occurred in 23%. The discriminative ability of the hierarchical algorithm (C statistic: 0.79; 95% confidence interval, 0.77-0.80) improved further with the addition of age, encounter type, and provider (C statistic: 0.89; 95% confidence interval, 0.88-0.90). CONCLUSIONS: ICD codes from an entire healthcare system were frequently erroneous in detecting and classifying CHD patients. Accuracy was higher for those with moderate or complex disease or when coupled with other data. These findings should be taken into account in future studies utilizing administrative data sets in CHD.
dc.languageEnglish
dc.publisherWILEY
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0
dc.titleLimited Accuracy of Administrative Data for the Identification and Classification of Adult Congenital Heart Disease
dc.typeJournal Article
dc.identifier.doi10.1161/JAHA.117.007378
melbourne.affiliation.departmentMedicine (RMH)
melbourne.affiliation.facultyMedicine, Dentistry & Health Sciences
melbourne.source.titleJournal of the American Heart Association
melbourne.source.volume7
melbourne.source.issue2
dc.rights.licenseCC BY-NC
melbourne.elementsid1338161
melbourne.contributor.authorBurchill, Luke
dc.identifier.eissn2047-9980
melbourne.accessrightsOpen Access


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