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Perception and Memory Experiments Using Drug Names [2010, Canada] (ICPSR 34122)

Released/updated on: 2013-04-30

Geographic coverage: Canada, Ontario, Global

Time period: 2012-03-28--2012-03-29, 2012-07-05--2012-07-06

Drug names that look and sound alike are a leading cause of medication errors (e.g., diazepam and diltiazem, hydroxyzine and hydralazine, Paxil and Taxol, fomepizole and omeprazole, Foradil and Toradol). Observational studies of dispensing in outpatient pharmacies suggest that the rate of wrong drug errors -- the type most likely to be the result of name confusion -- is roughly 0.13 percent. With 3.9 billion prescriptions dispensed in 2009, that translates to 5 million wrong drug errors per year in the United States. The purpose of this overall project was to develop, demonstrate, and disseminate a standard protocol for pre-approval testing of drug names, including a standard battery of psycholinguistic tests and data analytic methods, all with comparison to control names and to refine and demonstrate analytic methods by conducting a series of visual perception, auditory perception, and short term memory experiments using drug names as stimuli. The achievement of this aim will provide both regulators and pharmaceutical manufacturers with a scientifically validated, step-by-step method for testing new drug names for confusability. The data for this collection come from four experiments. In each experiment, participants are tested on their ability to correctly identify drug names under four conditions (see study design). Variables include participant reaction time to identify drug names and the percent participants correctly or incorrectly identified drug names. Study participants include medical doctors, nurse practitioners, pharmacists, and pharmacy technicians. Other variables include participant gender, education degree held, primary language spoken, and employment location.

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Synthetic North Carolina Prescription Drug Monitoring Program (PDMP) Data, 2009-2013 (ICPSR 36052)

Released/updated on: 2017-12-12

Geographic coverage: North Carolina, United States

Time period: 2009-01-01--2013-01-01

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

The misuse, abuse and diversion of controlled substances have reached epidemic proportion in the United States. Contributing to this problem are providers who over-prescribe these substances. The researchers in this study developed a series of metrics to identify providers manifesting unusual prescribing practices using one state's prescription monitoring program.

The collection includes 1 Excel data file with 10,000 cases and 13 variables (2015_NC_PDMP_Synthetic_Data_Set.xlsx).

Users should note the included data file is a synthetic dataset constructed with the same variance and distributions as the original data.