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Statistical Methods

Statistical Methods

Opioid Dosing Simulator

Opioids have been used for generations to treat pain, yet as a class of medications, they rank high on lists of drugs associated with adverse events, including events that result in harm. As part of a 5-year grant from the Agency for Healthcare Research and Quality, Dr. Lambert with other researchers at the Center for Education and Research on Therapeutics (CERT) at the University of Illinois at Chicago (UIC) is investigating issues related to opioid prescribing and pain control in inpatient care by testing the use of an "opioid simulator" as part of resident training.

Health Literacy

Patient education and effective communication are core elements of the nursing profession; therefore, awareness of a patient's health literacy is integral to patient care, safety, education, and counseling. Several past studies have suggested that health care providers overestimate their patient's health literacy.

The overestimation of a patient's health literacy by nursing personnel may contribute to the widespread problem of poor health outcomes and hospital readmission rates.

Drug Name Confusion

Drug names that look and sound alike are a leading cause of medication errors. 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.