Evidence map›Paper›PMID 21106076›Full record

ArticleJournal of foot and ankle research2010

Diagnostic accuracy of existing methods for identifying diabetic foot ulcers from inpatient and outpatient datasets.

Min-Woong Sohn, Elly Budiman-Mak, Rodney M Stuck, Farah Siddiqui, Todd A Lee

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Article in Journal of foot and ankle research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
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23citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Min-Woong SohnCenter for Management of Complex Chronic Care, Edward Hines, Jr, VA Hospital, Hines, IL, USA. msohn@northwestern.edu.
Elly Budiman-Mak
Rodney M Stuck
Farah Siddiqui
Todd A Lee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs 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.

methodsFour 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.

resultsOur 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.

conclusionsOur 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.

Identifiers

PMID21106076
PMCPMC3004880

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