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    Identifying incident oral and pharyngeal cancer cases using Medicare claims

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    Issue Date
    2013-01-01
    Author
    Mahnken, Jonathan D
    Keighley, John D
    Girod, Douglas A
    Chen, Xueyi
    Mayo, Matthew S
    Type
    Article
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    Abstract
    Abstract Background Baseline and trend data for oral and pharyngeal cancer incidence is limited. A new algorithm was derived using the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database to create an algorithm to identify incident cases of oral and pharyngeal cancer using Medicare claims. Methods Using a split-sample approach, Medicare claims’ procedure and diagnosis codes were used to generate a new algorithm to identify oral and pharyngeal cancer cases and validate its operating characteristics. Results The algorithm had high sensitivity (95%) and specificity (97%), which varied little by age group, sex, and race and ethnicity. Conclusion Examples of the utility of this algorithm and its operating characteristics include using it to derive baseline and trend estimates of oral and pharyngeal cancer incidence. Such measures could be used to provide incidence estimates where they are lacking or to serve as comparator estimates for tumor registries.
    URI
    http://hdl.handle.net/2271/1327
    DOI
    https://doi.org/10.1186/1472-6831-13-1
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    • University of Kansas Medical Center Scholarly Works [77]

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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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