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Potential Predictors of Disposition and Recidivism in Emergency Department Visits

Title: Potential Predictors of Disposition and Recidivism in Emergency Department Visits: A Regression Analysis.
Name(s): Gaillard, Garrett L, author
Type of Resource: text
Genre: Text
Research Report
Date Issued: 08/01/2018
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: Background: Recidivism in the Emergency Department (ED) is often used as a measure of efficiency, quality of care, and ED performance. Additionally, disposition of the emergency department patient is an important decision that influences the patients follow up as well as future ED visits. Objective: This study examined: age, gender, marital status, ethnicity, payer status, principle diagnoses, triage acuity as predictors of ED disposition and recidivism. The primary aim was to establish a model and assesses the predictability of different variables on incidence of admission or discharge and return to the ED. Method: A retrospective secondary analysis took place analyzing patient encounters from October 2015 to September 2016 at a 772-bed acute care hospital. A binary logistic regression was used to analyze variables and their correlation with disposition while a multinomial regression was used to correlate recidivism. Results: An analysis of 84,712 patient visits revealed that a binary logistic regression model containing all predictors was statistically significant at the level of p<.000 CI=95%. The model distinguished between those patients that were admitted and discharged from the ED. The model accurately classified 81.7% of cases. The model correctly classified patients who were discharged with a sensitivity of 93.5% and those who were admitted with a specificity of 38.5%. A mulitnomial model showed little significance in using socio-demographic variables as predictors of recidivism. Discussion: The model supports the use of socio-demographic variables and acuity of visit as predictors of disposition in the ED population. However, only single independent socio-demographic variables were useful in prediction of recidivism. These variables contribute to the development of care models in the ED. Additionally, implementation into the ESI triage index may help to further classify an accurately delineate patients during the triage process.
Identifier: FSU_libsubv1_scholarship_submission_1524503836_e3b429ce (IID)
Persistent Link to This Record:
Use and Reproduction: Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND 4.0)
Owner Institution: FSU

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Gaillard, G. L. (2018). Potential Predictors of Disposition and Recidivism in Emergency Department Visits: A Regression Analysis. Retrieved from