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dc.contributor.authorSohn, Min-Woong
dc.contributor.authorBudiman-Mak, Elly
dc.contributor.authorStuck, Rodney M
dc.contributor.authorSiddiqui, Farah
dc.contributor.authorLee, Todd A
dc.date.accessioned2012-08-21T02:16:12Z
dc.date.available2012-08-21T02:16:12Z
dc.date.issued2010-11-24
dc.identifier.bibliographicCitationSohn, M. W., Budiman-Mak, E., Stuck, R. M., Siddiqui, F., & Lee, T. A. 2010. Diagnostic accuracy of existing methods for identifying diabetic foot ulcers from inpatient and outpatient datasets. Journal of Foot and Ankle Research, 3:27. doi:10.1186/1757-1146-3-27en
dc.identifier.issn1757-1146
dc.identifier.otherdoi:10.1186/1757-1146-3-27
dc.identifier.urihttp://hdl.handle.net/10027/8593
dc.description© 2010 Sohn et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. doi:10.1186/1757-1146-3-27en
dc.description.abstractBackground: As the number of persons with diabetes is projected to double in the next 25 years in the US, an accurate method of identifying diabetic foot ulcers in population-based data sources are ever more important for disease surveillance and public health purposes. The objectives of this study are to evaluate the accuracy of existing methods and to propose a new method. Methods: Four existing methods were used to identify all patients diagnosed with a foot ulcer in a Department of Veterans Affairs (VA) hospital from the inpatient and outpatient datasets for 2003. Their electronic medical records were reviewed to verify whether the medical records positively indicate presence of a diabetic foot ulcer in diagnoses, medical assessments, or consults. For each method, five measures of accuracy and agreement were evaluated using data from medical records as the gold standard. Results: Our medical record reviews show that all methods had sensitivity > 92% but their specificity varied substantially between 74% and 91%. A method used in Harrington et al. (2004) was the most accurate with 94% sensitivity and 91% specificity and produced an annual prevalence of 3.3% among VA users with diabetes nationwide. A new and simpler method consisting of two codes (707.1× and 707.9) shows an equally good accuracy with 93% sensitivity and 91% specificity and 3.1% prevalence. Conclusions: Our results indicate that the Harrington and New methods are highly comparable and accurate. We recommend the Harrington method for its accuracy and the New method for its simplicity and comparable accuracy.en
dc.description.sponsorshipCenter for Management of Complex Chronic Care, Hines VA Hospital, Hines, IL (LIP 42-522; Elly Budiman-Mak, MD, Principal Investigator).en
dc.language.isoen_USen
dc.publisherBioMed Centralen
dc.titleDiagnostic accuracy of existing methods for identifying diabetic foot ulcers from inpatient and outpatient datasetsen
dc.typeArticleen


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