Finally, number of events and average utilization measures for each combination of profile variables are calculated. Then, the information is aggregated into profiles defined by 14 variables: (1) Gender (2) Age category (3) Drug name (4) Drug RxNorm Concept Unique Identifier RxCUI (5) Drug class (6) Drug major class (7) Drug type, (8) Plan type, (9) Coverage type (10) Benefit phase (11) Drug benefit type (12) Prescriber taxonomy (13) Plan gap coverage indicator and (14) Tier identifier. Results of the CMS-RxHCC risk-adjustment model.National Formulary, available from the Department of Veterans Affairs and.RxNorm, available from the U.S National Library of Medicine, National Institutes of Health.Part D Prescriber Characteristics File.Prescription drug events (or Part D Drug Event Files) are merged with the following files to construct the Prescription Drug Profiles PUF for the reference year: These files provide various measures of utilization as averages for different groups of Medicare beneficiaries, or profiles. The Prescription Drug Profiles PUFs represents 100% of prescription drug claims (subject to suppression) for Medicare beneficiaries covered by Part D for the reference year. The CMS Prescription Drug Profiles PUFs are aggregated files in which each record is a profile or cell defined by the characteristics of Medicare beneficiaries, drugs, plans, and prescribers. The PUFs includes beneficiary demographics (e.g., gender, age), plan characteristics (e.g., plan type, drug benefit type, gap coverage), prescription drug characteristics (i.e., active ingredient, drug class), prescriber characteristics, and payment information (e.g., average patient pay amount). This release contains the Prescription Drug Profiles Public Use Files (PUFs) drawn from Medicare prescription drug claims for the year of the date on which the prescription was filled.
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