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Predicting Emergency Department “Bouncebacks”: A Retrospective Cohort Analysis

INTRODUCTION: The short-term return visit rate among patients discharged from emergency departments (ED) is a quality metric and target for interventions. The ability to accurately identify which patients are more likely to revisit the ED could allow EDs and health systems to develop more focused in...

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Autores principales: Montoy, Juan Carlos C., Tamayo-Sarver, Joshua, Miller, Gregg A., Baer, Amy E., Peabody, Christopher R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Department of Emergency Medicine, University of California, Irvine School of Medicine 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6860392/
https://www.ncbi.nlm.nih.gov/pubmed/31738713
http://dx.doi.org/10.5811/westjem.2019.8.43221
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author Montoy, Juan Carlos C.
Tamayo-Sarver, Joshua
Miller, Gregg A.
Baer, Amy E.
Peabody, Christopher R.
author_facet Montoy, Juan Carlos C.
Tamayo-Sarver, Joshua
Miller, Gregg A.
Baer, Amy E.
Peabody, Christopher R.
author_sort Montoy, Juan Carlos C.
collection PubMed
description INTRODUCTION: The short-term return visit rate among patients discharged from emergency departments (ED) is a quality metric and target for interventions. The ability to accurately identify which patients are more likely to revisit the ED could allow EDs and health systems to develop more focused interventions, but efforts to reduce revisits have not yet found success. Whether patients with a high number of ED visits are at increased risk of a return visit remains underexplored. METHODS: This was a population-based, retrospective, cohort study using administrative data from a large physician partnership. We included patients discharged from EDs from 80 hospitals in seven states from July 2014 – June 2016. We performed multivariable logistic regression of short-term return visits on patient, visit, hospital, and community characteristics. The primary outcome was the proportion of patients who had a return visit within 14 days of an index ED visit. RESULTS: Among 6,699,717 index visits, the overall risk of 14-day revisit was 12.6%. Frequent visitors accounted for 18.7% of all visits and 40.2% of all 14-day revisits. Frequent visitor status was associated with the highest odds of a revisit (odds ratio [OR] 3.06; 95% confidence interval [CI], 3.041 – 3.073). Other predictors of revisits were cellulitis (OR 2.131; 95% CI, 2.106 – 2.156), alcohol-related disorders (OR 1.579; 95%CI, 1.548 – 1.610), congestive heart failure (OR 1.175; 95% CI, 1.126 – 1.226), and public insurance (Medicaid OR 1.514; 95% CI, 1.501 – 1.528; Medicare OR 1.601; 95% CI, 1.583 – 1.620). CONCLUSION: Previous ED use – even a single previous visit – was a stronger predictor of a return visit than any other patient, hospital, or community characteristic. Clinicians should consider previous ED use when considering treatment decisions and risk of return visit, as should stakeholders targeting patients at risk of a return visit.
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spelling pubmed-68603922019-11-25 Predicting Emergency Department “Bouncebacks”: A Retrospective Cohort Analysis Montoy, Juan Carlos C. Tamayo-Sarver, Joshua Miller, Gregg A. Baer, Amy E. Peabody, Christopher R. West J Emerg Med Emergency Department Operations INTRODUCTION: The short-term return visit rate among patients discharged from emergency departments (ED) is a quality metric and target for interventions. The ability to accurately identify which patients are more likely to revisit the ED could allow EDs and health systems to develop more focused interventions, but efforts to reduce revisits have not yet found success. Whether patients with a high number of ED visits are at increased risk of a return visit remains underexplored. METHODS: This was a population-based, retrospective, cohort study using administrative data from a large physician partnership. We included patients discharged from EDs from 80 hospitals in seven states from July 2014 – June 2016. We performed multivariable logistic regression of short-term return visits on patient, visit, hospital, and community characteristics. The primary outcome was the proportion of patients who had a return visit within 14 days of an index ED visit. RESULTS: Among 6,699,717 index visits, the overall risk of 14-day revisit was 12.6%. Frequent visitors accounted for 18.7% of all visits and 40.2% of all 14-day revisits. Frequent visitor status was associated with the highest odds of a revisit (odds ratio [OR] 3.06; 95% confidence interval [CI], 3.041 – 3.073). Other predictors of revisits were cellulitis (OR 2.131; 95% CI, 2.106 – 2.156), alcohol-related disorders (OR 1.579; 95%CI, 1.548 – 1.610), congestive heart failure (OR 1.175; 95% CI, 1.126 – 1.226), and public insurance (Medicaid OR 1.514; 95% CI, 1.501 – 1.528; Medicare OR 1.601; 95% CI, 1.583 – 1.620). CONCLUSION: Previous ED use – even a single previous visit – was a stronger predictor of a return visit than any other patient, hospital, or community characteristic. Clinicians should consider previous ED use when considering treatment decisions and risk of return visit, as should stakeholders targeting patients at risk of a return visit. Department of Emergency Medicine, University of California, Irvine School of Medicine 2019-11 2019-10-16 /pmc/articles/PMC6860392/ /pubmed/31738713 http://dx.doi.org/10.5811/westjem.2019.8.43221 Text en Copyright: © 2019 Montoy et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) License. See: http://creativecommons.org/licenses/by/4.0/
spellingShingle Emergency Department Operations
Montoy, Juan Carlos C.
Tamayo-Sarver, Joshua
Miller, Gregg A.
Baer, Amy E.
Peabody, Christopher R.
Predicting Emergency Department “Bouncebacks”: A Retrospective Cohort Analysis
title Predicting Emergency Department “Bouncebacks”: A Retrospective Cohort Analysis
title_full Predicting Emergency Department “Bouncebacks”: A Retrospective Cohort Analysis
title_fullStr Predicting Emergency Department “Bouncebacks”: A Retrospective Cohort Analysis
title_full_unstemmed Predicting Emergency Department “Bouncebacks”: A Retrospective Cohort Analysis
title_short Predicting Emergency Department “Bouncebacks”: A Retrospective Cohort Analysis
title_sort predicting emergency department “bouncebacks”: a retrospective cohort analysis
topic Emergency Department Operations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6860392/
https://www.ncbi.nlm.nih.gov/pubmed/31738713
http://dx.doi.org/10.5811/westjem.2019.8.43221
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