alexa The added value of claims for cancer surveillance: results of varying case definitions.
Bioinformatics & Systems Biology

Bioinformatics & Systems Biology

Journal of Proteomics & Bioinformatics

Author(s): Penberthy L, McClish D, Manning C, Retchin S, Smith T

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Abstract OBJECTIVE: As cancer diagnosis and treatment has moved to the outpatient healthcare setting, traditional cancer surveillance tools are less effective for complete and unbiased capture of incident cases. This study evaluates the potential for Medicare data to supplement cancer surveillance in a unique manner by using a standard that is independent of a central cancer registry. DESIGN: State cancer registry records were matched with Medicare data. Case validation included inpatient record abstraction combined with a mail/telephone survey of treating physicians. The positive predictive value (PPV), sensitivity (capture rate), and potential additional cases were calculated for 6 Medicare claims-based case definitions. RESULTS: The PPV varied according to cancer site and definition, ranging from 70\%-97\% (prostate) to 87\%-98\% (breast). Sensitivity varied inversely with PPV, ranging from 51\%-94\% (breast) to 10\%-88\% (lung). The most important factors that predicted being missed by the registry were having no admission to an ACOS-certified hospital and no surgical treatment. CONCLUSION: Medicare data represent a valid resource for supplementing state cancer registries in surveillance efforts. This potential is especially applicable to cancers predominantly diagnosed and treated outside the hospital setting.
This article was published in Med Care and referenced in Journal of Proteomics & Bioinformatics

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