At the same time, there may not be clear avenues for quality improvement in the 4 other medical conditions examined in the present study. Quality measures for those conditions have several benchmarking approaches that are not as universally accepted or as easily identifiable in Medicare claims (eg...
Education for zip code areas were obtained from the 2000 Census data. Urban/rural was categorized by Rural-Urban Continuum Codes.20 Comorbidity measures were generated from all claims in the year prior to the baseline colonoscopy,21 with conditions possibly related to a clinical indication for ...
We used logistic regression and Medicare claims-based variables to develop algorithms identifying each of three high risk conditions and uncontrolled LDL cholesterol defined in REGARDS data. The analysis is described below for Condition 1, high risk for CHD events. An identical approach was used for...