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Kali Defever; Becky Reimer; Michael Trierweiler; Elise Comperchio – Field Methods, 2024
Estimating prescription medicine use is challenging due to recall bias associated with surveys and coverage bias in administrative data. This study assesses how making operational improvements and combining both survey and administrative data sources can increase data quality on filled prescriptions. We use data from the Medicare Current…
Descriptors: Drug Therapy, Health Insurance, Databases, Medicine
Laura Vivienne Sooby – ProQuest LLC, 2024
Medication administration errors (MAEs) present a significant risk for harm to patients and healthcare providers alike, yet little is understood about how nursing students conceptualize MAEs. Similar risks for harm are faced in the aviation industry, yet they have transformed into a highly reliable organization (HRO) using the threat and error…
Descriptors: Undergraduate Students, Nursing Students, Drug Therapy, Medical Care Evaluation