My last article demonstrated a common incorrect technique—based in “traditional” statistics—for comparing performances based on percentage rates. This article will use the same data to show what should be done instead.
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To quickly review the scenario: In an effort to reduce unnecessary expensive prescriptions, a pharmacy administrator developed a proposal to monitor and compare individual physicians’ tendencies to prescribe the most expensive drug within a class. Data were obtained for a peer group of 51 physicians including the total number of prescriptions written, and, of that number, how many were for the target drug.
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Comments
Question regarding calculations
Doctor-
Another excellent article. Two questions:
1) I don't have or need the raw data, but because I don't have that, I can not figure out what entry is used in the ANOM for # of prescriptions written. I would think it would be the number of individual prescriptions for the targeted drug an individual doctor has written, rather than the bulk # of prescriptions written (4000+) or the bulk # of prescriptions for the drug in question (596). Can you enlighten me?
2) Where does the formula for the ANOM come from?
Regards and thanks again,
Tom Johnson
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