Abstract
Analyze SR database profiles and classify use of data fields. We identified databases profiled in B.R.I.D.G.E. collecting SR data using two search criteria: Database Type=Spontaneous reporting systems; and Database Source=Spontaneous reports. Twenty of 198 profiles matched ≥1 criteria; frequency of use of the 75 data fields were compared. Based on use frequency, fields were categorized into Group 1 (G1 - consensus in use of field among the set), Group 2 (G2 - use by ≥50% databases), or Group 3 (G3 - use by <50% databases). Of the 75 data fields, 53 (71%) were frequently used among databases with SR data: 21 (28%) were classified into G1 (e.g., Diagnosis data, Drug data), and 32 (43%) into G2 (e.g., Death recorded, Physician specialty). Fields utilized less frequently (n=22; 29%) comprised G3 (e.g., Medical Record Access, Linkage Capabilities). Analysis of G1 revealed that a majority of SR databases are funded by government agencies, capture OTC & prescription drug use in inpatient & outpatient settings; however, diagnosis data are heterogeneously coded. Of the 25 fields on the CIOMS reporting form, 17 corresponded to G1, and 8 to G2. In this analysis, B.R.I.D.G.E. served as a screening tool to categorize data fields used in SR databases and successfully identified additional fields to complement the CIOMS effort.
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