Background: Baseline and trend data for oral and pharyngeal cancer incidence is limited. A new algorithm was\r\nderived using the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database to create an\r\nalgorithm to identify incident cases of oral and pharyngeal cancer using Medicare claims.\r\nMethods: Using a split-sample approach, Medicare claims� procedure and diagnosis codes were used to generate a\r\nnew algorithm to identify oral and pharyngeal cancer cases and validate its operating characteristics.\r\nResults: The algorithm had high sensitivity (95%) and specificity (97%), which varied little by age group, sex, and\r\nrace and ethnicity.\r\nConclusion: Examples of the utility of this algorithm and its operating characteristics include using it to derive\r\nbaseline and trend estimates of oral and pharyngeal cancer incidence. Such measures could be used to provide\r\nincidence estimates where they are lacking or to serve as comparator estimates for tumor registries.
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