In combination therapy, the numerator was the sum of days' supply of all IOP-lowering topical medications, and the denominator was the sum of participation days for each drug in the regimen.
The MPR was calculated as the sum of days supplied, by class, over a 1-year period divided by 365.
Drug utilization was measured as the sum of days supplied with a refill in a particular drug class over a period of 1 year pre- and post-index.
Logistics cost: it can be calculated by the sum of cost of supplying commodities from plants to customers in the given periods.
The MPR reflects the proportion of days during which the patients possessed a supply medication: MPR = Sum of day's supply during follow-up period Total number of days of follow-upperiod (730 ) (1) For patients treated with two or more statins, the MPR reported was calculated as the mean of the MPR calculated for each drug.
Prescriptions containing more than one drug contributed to both the sum of the days' supply of all drugs from the same AHT class (to accommodate any stockpiling) and the lower days' supply drug value of drugs from different AHT classes (identifying them as a combined therapy).
In that case, labor supply is given by the sum of all (unit) supplies of workers who are closer to the deviating firm than the two types of workers (one to each side) who are indifferent between working for the firm we are analyzing and working for its neighbor: w - s - x = w^{text{o}} - s - (b - x) Leftrightarrow S = 2x = b + w - w^{text{o}}.
The left-hand side of the equation represents the sum of imports, domestic supply, and manufactured quantity of a product in a country, while the right-hand side represents the sum of domestic demand for end products, demand for input in the manufacture of other products, and exports to other countries.
Adherence was calculated as the sum of the days' supply dispensed during the year divided by 56.
As described by Krousel-Wood et al, 35 MPR will be defined as the sum of the days' supply of medication obtained between the first and last pharmacy fill divided by the total number of days in this time period.
