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Laypeople’s (Mis)Understanding of Common Medical Acronyms

Corinne Praska, Michael B. Pitt, Jordan Marmet, Rachael Gotlieb, Victoria Charpentier, Emily Hause, Katherine Allen, Scott Lunos, Marissa A. Hendrickson

2023Hospital Pediatrics11 citationsDOIOpen Access PDF

Abstract

OBJECTIVES: Abbreviations are often used in medicine yet may be a source of confusion for patients and their families. We aimed to determine the general public's understanding of commonly used medical acronyms. METHODS: For this cross-sectional study, we surveyed state fair visitors regarding their understanding of 5 common medical acronyms. An electronic survey was administered to a volunteer sample of adults who spoke and read English and who had never trained to work in medicine or nursing. Free-text responses were coded as correct, partially correct, or incorrect by 2 independent researchers, adding a third researcher if consensus was not reached. Analysis methods included descriptive statistics, Fisher exact tests, and multivariable logistic regression models. RESULTS: We recruited 204 volunteers (55% female; mean age 43 years; 67% had a bachelor's degree or higher). ED (emergency department) was correctly defined by 32%, PCP (primary care provider/physician) by 18%, CBC (complete blood count) by 14%, and PRN (as needed) and NPO (nothing by mouth) by 13% each. Female gender was associated with higher odds of correctly understanding NPO (odds ratio, 3.11; 95% confidence interval, 1.18-8.21; P = .02); older age was associated with higher odds of understanding PRN (odds ratio, 1.03; 95% confidence interval, 1.00-1.05; P = .04). Education level was not found to correlate significantly with successful explanation of any tested acronym. CONCLUSIONS: Medical acronyms are a predictable source of miscommunication. In this large cross-sectional study, none of the acronyms evaluated was understood correctly by more than one-third of adults. Clinicians should avoid using acronyms with patients and families to minimize confusion.

Topics & Concepts

MedicineOdds ratioConfidence intervalOddsLogistic regressionCross-sectional studyFamily medicineDescriptive statisticsBachelorConfusionInternal medicinePathologyStatisticsPsychologyPsychoanalysisArchaeologyHistoryMathematicsBiomedical Text Mining and OntologiesMedical and Biological SciencesMedical Research and Practices
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