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Decreased Nursing Staffing Adversely Affects Emergency Department Throughput Metrics

INTRODUCTION: The effect of nurse staffing on emergency department (ED) efficiency remains a significant area of interest to administrators, physicians, and nurses. We believe that decreased nursing staffing adversely affects key ED throughput metrics. METHODS: We conducted a retrospective observati...

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Autores principales: Ramsey, Zachariah, Palter, Joseph S., Hardwick, John, Moskoff, Jordan, Christian, Errick L., Bailitz, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Department of Emergency Medicine, University of California, Irvine School of Medicine 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5942016/
https://www.ncbi.nlm.nih.gov/pubmed/29760847
http://dx.doi.org/10.5811/westjem.2018.1.36327
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author Ramsey, Zachariah
Palter, Joseph S.
Hardwick, John
Moskoff, Jordan
Christian, Errick L.
Bailitz, John
author_facet Ramsey, Zachariah
Palter, Joseph S.
Hardwick, John
Moskoff, Jordan
Christian, Errick L.
Bailitz, John
author_sort Ramsey, Zachariah
collection PubMed
description INTRODUCTION: The effect of nurse staffing on emergency department (ED) efficiency remains a significant area of interest to administrators, physicians, and nurses. We believe that decreased nursing staffing adversely affects key ED throughput metrics. METHODS: We conducted a retrospective observational review of our electronic medical record database from 1/1/2015 to 12/31/2015 at a high-volume, urban public hospital. We report nursing hours, door-to-discharge length of stay (LOS) and door-to-admit LOS, and percentage of patients who left without being seen (LWBS). ED nursing hours per day was examined across quartiles with the effect evaluated using analysis of covariance and controlled for total daily ED volume, hospital occupancy and ED admission rate. RESULTS: From 1/1/15–12/31/15, 105,887 patients presented to the ED with a range of 336 to 580 nursing hours per day with a median of 464.7. Independent of daily ED volume, hospital occupancy and ED admission rate, days in the lowest quartile of nursing hours experienced a 28.2-minute increase per patient in door-to-discharge LOS compared to days in the highest quartile of nursing hours. Door-to-admit LOS showed no significant change across quartiles. There was also an increase of nine patients per day who left without being seen by a provider in the lowest quartile of nursing hours compared to the highest quartile. CONCLUSION: Lower nursing hours contribute to a statistically significant increase in door-to-discharge LOS and number of LWBS patients, independent of daily ED volume, hospital occupancy and ED admission rate. Consideration of the impact of nursing staffing is needed to optimize throughput metrics for our urban, safety-net hospital.
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spelling pubmed-59420162018-05-14 Decreased Nursing Staffing Adversely Affects Emergency Department Throughput Metrics Ramsey, Zachariah Palter, Joseph S. Hardwick, John Moskoff, Jordan Christian, Errick L. Bailitz, John West J Emerg Med Emergency Department Administration INTRODUCTION: The effect of nurse staffing on emergency department (ED) efficiency remains a significant area of interest to administrators, physicians, and nurses. We believe that decreased nursing staffing adversely affects key ED throughput metrics. METHODS: We conducted a retrospective observational review of our electronic medical record database from 1/1/2015 to 12/31/2015 at a high-volume, urban public hospital. We report nursing hours, door-to-discharge length of stay (LOS) and door-to-admit LOS, and percentage of patients who left without being seen (LWBS). ED nursing hours per day was examined across quartiles with the effect evaluated using analysis of covariance and controlled for total daily ED volume, hospital occupancy and ED admission rate. RESULTS: From 1/1/15–12/31/15, 105,887 patients presented to the ED with a range of 336 to 580 nursing hours per day with a median of 464.7. Independent of daily ED volume, hospital occupancy and ED admission rate, days in the lowest quartile of nursing hours experienced a 28.2-minute increase per patient in door-to-discharge LOS compared to days in the highest quartile of nursing hours. Door-to-admit LOS showed no significant change across quartiles. There was also an increase of nine patients per day who left without being seen by a provider in the lowest quartile of nursing hours compared to the highest quartile. CONCLUSION: Lower nursing hours contribute to a statistically significant increase in door-to-discharge LOS and number of LWBS patients, independent of daily ED volume, hospital occupancy and ED admission rate. Consideration of the impact of nursing staffing is needed to optimize throughput metrics for our urban, safety-net hospital. Department of Emergency Medicine, University of California, Irvine School of Medicine 2018-05 2018-04-05 /pmc/articles/PMC5942016/ /pubmed/29760847 http://dx.doi.org/10.5811/westjem.2018.1.36327 Text en Copyright: © 2018 Ramsey 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 Administration
Ramsey, Zachariah
Palter, Joseph S.
Hardwick, John
Moskoff, Jordan
Christian, Errick L.
Bailitz, John
Decreased Nursing Staffing Adversely Affects Emergency Department Throughput Metrics
title Decreased Nursing Staffing Adversely Affects Emergency Department Throughput Metrics
title_full Decreased Nursing Staffing Adversely Affects Emergency Department Throughput Metrics
title_fullStr Decreased Nursing Staffing Adversely Affects Emergency Department Throughput Metrics
title_full_unstemmed Decreased Nursing Staffing Adversely Affects Emergency Department Throughput Metrics
title_short Decreased Nursing Staffing Adversely Affects Emergency Department Throughput Metrics
title_sort decreased nursing staffing adversely affects emergency department throughput metrics
topic Emergency Department Administration
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5942016/
https://www.ncbi.nlm.nih.gov/pubmed/29760847
http://dx.doi.org/10.5811/westjem.2018.1.36327
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