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Determining the Incidence of Adult Fractures: How Accurate Are Emergency Department Data?
Author(s) -
Stuart A. Aitken,
Mark Rodrigues,
Andrew D. Duckworth,
Nicholas D. Clement,
Margaret M. McQueen,
Charles M. Court-Brown
Publication year - 2012
Publication title -
epidemiology research international
Language(s) - English
Resource type - Journals
eISSN - 2090-2972
pISSN - 2090-2980
DOI - 10.1155/2012/837928
Subject(s) - medicine , emergency department , incidence (geometry) , logistic regression , referral , seniority , univariate , population , cohort , medical diagnosis , emergency medicine , demography , statistics , family medicine , radiology , environmental health , psychiatry , mathematics , multivariate statistics , geometry , sociology , political science , law
Various research methods have been used to obtain skeletal fracture data and report the incidence of fractures. A large number of British studies have used data collected in emergency departments, and not data derived from orthopaedic units. We hypothesised that fracture data will differ depending upon the methodology employed to capture it. Two commonly used sources of fracture data at our institution were compared, (the Emergency Department (ED) database and the Orthopaedic Trauma Unit (OTU) database), using a cohort of adult patients from our defined population as the study sample. We performed univariate analyses to identify differences between groups with accurate and inaccurate ED fracture diagnoses. We then performed a binary logistic regression analysis to determine the best predictors of diagnostic accuracy. In one year, 7,449 patients were referred to the OTU. Three-quarters were referred with fractures. The overall false positive fracture referral rate was 25%. Several fracture subtypes were commonly overdiagnosed in the ED. Regression analysis showed that patient age, patient gender, and the seniority of the referring clinician were independently predictive of an accurate fracture diagnosis. We suggest that studies making use of ED fracture data may potentially overestimate the incidence of adult fractures

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