Ascertainment of XXXX and @entity117 use by medical record review compared with automated pharmacy data.

@entity1 @entity117 @entity2286 @entity955 @entity1229
PURPOSE: Automated pharmacy databases are increasingly available for assessing medication use, but research on the validity of these data is incomplete. This study aimed to measure agreement on @entity1229 and @entity117 use between medical records and automated pharmacy data among @entity1 with newly detected @entity955 ( @entity955 ). METHODS: @entity1 with newly detected @entity955 (n   =   1953) were previously identified in a cohort study at Group Health (GH) in Washington State. Medical records were reviewed for information on risk factors and medication use, as well as clinical care during the 6   months after @entity955 onset. Medication data were also obtained from the GH pharmacy database. We determined the sensitivity, specificity, and positive predictive value ( @entity2286 ) as measures of the validity of the GH pharmacy database as compared with medical records for @entity1229 and @entity117 use during the first 6 and 3   months after @entity955 onset. We also calculated the k statistic. RESULTS: For @entity1229 use, in comparison with the medical record review, the sensitivity, specificity, and @entity2286 for the GH pharmacy database were excellent, and agreement was almost perfect in the 3- and 6-month periods after @entity955 onset (k   =   0.92 and 0.93, respectively). For @entity117 use, the GH pharmacy database had low sensitivity but high specificity, and agreement was only fair for these two periods (k   =   0.28 and 0.31, respectively). CONCLUSIONS: The GH pharmacy database is a valuable source of data for pharmacoepidemiologic research on @entity1229 use among @entity1 with @entity955 . However, the database cannot be recommended for assessment of @entity117 use. Copyright    2010 John Wiley _ Sons, Ltd.
