Analyzing ADDRESS (TM) Patient Data to Develop Preliminary Estimates of ADR incidence Pharmacy Academic Year 2023 Accepted Patient Safety, Adverse Drug Reactions (Side effects), Patient Reported Outcomes, Pharmaceutical Software Application A database consisting of data collected from patients by Purdue Pharmacy students during ambulatory rotations is being analyzed to determine the incidence of individual ADRs, ADRs per drug and # and severity of ADRs across the patient entire regimen. Because of the complexity of the data matrix, student assistance in re-coding data into a form amenable to analysis by a statistical program (SPSS, STATA) is required. Gifted students with demonstrated work ethic may become involved in preparation of the results for presentation and/or publication. Matthew M Murawski Student shall perform database "cleaning" and variable recoding in order to transform the raw data matrix into a format suitable for ingestion into, and analysis with, SPSS and/or STATA statistical software. Strong familiarity with EXCEL software, ability to demonstrate attention to detail while working with a large data set. 3 0 (estimated)

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