Archive for the ‘Drug Benefit’ Category


Coding accuracy: DISCUSSION(5)

Oct 5, 2012 Author: Walter Mcneil | Filed under: Drug Benefit

Coding accuracy: DISCUSSION(5)

The drug claims database is most useful for studies of elderly people because it contains information on virtually the entire population of this age. The coverage for the other groups can change over time (eg, persons on social assistance are not necessarily covered if they start working) and at all times represents only a portion of the total population in the younger age groups. Buy Asthma Inhalers Online

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Coding accuracy: DISCUSSION(4)

Oct 4, 2012 Author: Walter Mcneil | Filed under: Drug Benefit

We believe that drug claims data such as those collected by the ODB can be an important source of information on drug usage in the entire population. Descriptive studies of the total number ofmedicationsdispensed and paid for by the ODB are useful for understanding changes in drug expenditures or trends in drug use over time . More insight into medication usage and effectiveness can be obtained after linking drug claims for an individual with other administrative data sets on hospitalizations, physician visits, vital status, or registries (eg, cardiac, cancer), or surveys (eg, National Population Health Surveys, Ontario Health Survey). Using linkages to hospital discharge data, physicians claims and vital status, the ODB claims database has been used for population-based research studies of secondary prevention of cardiovasculardisease. Using a similar linked database in Quebec,medicationsclaims were linked by a unique, scrambled identifier to a database containing information on the training characteristics (year and medical school of graduation, and medical specialty). Using that information, we were able to distinguish characteristics of physicians more likely to prescribe a P-blocker after hospital discharge for myocardial infarction. buy asthma inhaler

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Coding accuracy: DISCUSSION(3)

Oct 3, 2012 Author: Walter Mcneil | Filed under: Drug Benefit

Coding accuracy: DISCUSSION(3)

This study was also prone to several other limitations. First, we were unable to detect all potential sources of errors in the dispensing information. For example, only one type of error on dates was detectable (ie, when the pharmacist’s dispensing date preceded the date written on the prescription by the physician). Second, we were unable to verify whether there was any discrepancy between the medication actually dispensed and that entered into the pharmacy computer and appended to the back of the prescription. Twenty-two of the 37 errors could have had an impact on the patient, but most were likely to be minor. This is consistent with other studies that show that most medication errors have little potential for harm. buy diabetes drugs

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Coding accuracy: DISCUSSION(2)

Oct 2, 2012 Author: Walter Mcneil | Filed under: Drug Benefit

Our sample of dispensed medications included as the most common prescriptions, anti-infective agents (27%), central nervous system drugs (25%) and cardiovasculard Canadian medications (19%). These figures can be compared with the distribution of medications dispensed to elderly people in Quebec in 1990 , where the three most common medications were central nervous system drugs (31%), cardiovascular medications (19%), and diuretics and electrolytes (13%). In Quebec, anti-infective agents represented only 3% of prescriptions.

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Coding accuracy: DISCUSSION(1)

Oct 1, 2012 Author: Walter Mcneil | Filed under: Drug Benefit

Coding accuracy: DISCUSSION(1)

We found the reliability of coding drug claims on the ODB database to be very high, with errors occurring in only 0.7% (95% CI 0.5% to 0.9%) of over 5000 dispensed medications that we examined. Of the 37 errors, 13 resulted in the subject being dispensed something other than what was prescribed; nine had errors in the instructions to the patient. These 22 errors could have had an impact on the patient. The remaining 15 errors were clerical or had the incorrect physician listed, which would only have an impact on investigators using the data for research purposes. flovent inhaler

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