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Hospital Factors Impact Variation in Emergency Department Length of Stay more than Physician Factors
INTRODUCTION: To analyze the correlation between the many different emergency department (ED) treatment metric intervals and determine if the metrics directly impacted by the physician correlate to the “door to room” interval in an ED (interval determined by ED bed availability). Our null hypothesis...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Department of Emergency Medicine, University of California, Irvine School of Medicine
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3966443/ https://www.ncbi.nlm.nih.gov/pubmed/24672604 http://dx.doi.org/10.5811/westjem.2013.12.6860 |
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author | Krall, Scott P. Cornelius, Angela P. Addison, J. Bruce |
author_facet | Krall, Scott P. Cornelius, Angela P. Addison, J. Bruce |
author_sort | Krall, Scott P. |
collection | PubMed |
description | INTRODUCTION: To analyze the correlation between the many different emergency department (ED) treatment metric intervals and determine if the metrics directly impacted by the physician correlate to the “door to room” interval in an ED (interval determined by ED bed availability). Our null hypothesis was that the cause of the variation in delay to receiving a room was multifactorial and does not correlate to any one metric interval. METHODS: We collected daily interval averages from the ED information system, Meditech©. Patient flow metrics were collected on a 24-hour basis. We analyzed the relationship between the time intervals that make up an ED visit and the “arrival to room” interval using simple correlation (Pearson Correlation coefficients). Summary statistics of industry standard metrics were also done by dividing the intervals into 2 groups, based on the average ED length of stay (LOS) from the National Hospital Ambulatory Medical Care Survey: 2008 Emergency Department Summary. RESULTS: Simple correlation analysis showed that the doctor-to-discharge time interval had no correlation to the interval of “door to room (waiting room time)”, correlation coefficient (CC) (CC=0.000, p=0.96). “Room to doctor” had a low correlation to “door to room” CC=0.143, while “decision to admitted patients departing the ED time” had a moderate correlation of 0.29 (p <0.001). “New arrivals” (daily patient census) had a strong correlation to longer “door to room” times, 0.657, p<0.001. The “door to discharge” times had a very strong correlation CC=0.804 (p<0.001), to the extended “door to room” time. CONCLUSION: Physician-dependent intervals had minimal correlation to the variation in arrival to room time. The “door to room” interval was a significant component to the variation in “door to discharge” i.e. LOS. The hospital-influenced “admit decision to hospital bed” i.e. hospital inpatient capacity, interval had a correlation to delayed “door to room” time. The other major factor affecting department bed availability was the “total patients per day.” The correlation to the increasing “door to room” time also reflects the effect of availability of ED resources (beds) on the patient evaluation time. The time that it took for a patient to receive a room appeared more dependent on the system resources, for example, beds in the ED, as well as in the hospital, than on the physician. |
format | Online Article Text |
id | pubmed-3966443 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Department of Emergency Medicine, University of California, Irvine School of Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-39664432014-03-26 Hospital Factors Impact Variation in Emergency Department Length of Stay more than Physician Factors Krall, Scott P. Cornelius, Angela P. Addison, J. Bruce West J Emerg Med Emergency Department Operations INTRODUCTION: To analyze the correlation between the many different emergency department (ED) treatment metric intervals and determine if the metrics directly impacted by the physician correlate to the “door to room” interval in an ED (interval determined by ED bed availability). Our null hypothesis was that the cause of the variation in delay to receiving a room was multifactorial and does not correlate to any one metric interval. METHODS: We collected daily interval averages from the ED information system, Meditech©. Patient flow metrics were collected on a 24-hour basis. We analyzed the relationship between the time intervals that make up an ED visit and the “arrival to room” interval using simple correlation (Pearson Correlation coefficients). Summary statistics of industry standard metrics were also done by dividing the intervals into 2 groups, based on the average ED length of stay (LOS) from the National Hospital Ambulatory Medical Care Survey: 2008 Emergency Department Summary. RESULTS: Simple correlation analysis showed that the doctor-to-discharge time interval had no correlation to the interval of “door to room (waiting room time)”, correlation coefficient (CC) (CC=0.000, p=0.96). “Room to doctor” had a low correlation to “door to room” CC=0.143, while “decision to admitted patients departing the ED time” had a moderate correlation of 0.29 (p <0.001). “New arrivals” (daily patient census) had a strong correlation to longer “door to room” times, 0.657, p<0.001. The “door to discharge” times had a very strong correlation CC=0.804 (p<0.001), to the extended “door to room” time. CONCLUSION: Physician-dependent intervals had minimal correlation to the variation in arrival to room time. The “door to room” interval was a significant component to the variation in “door to discharge” i.e. LOS. The hospital-influenced “admit decision to hospital bed” i.e. hospital inpatient capacity, interval had a correlation to delayed “door to room” time. The other major factor affecting department bed availability was the “total patients per day.” The correlation to the increasing “door to room” time also reflects the effect of availability of ED resources (beds) on the patient evaluation time. The time that it took for a patient to receive a room appeared more dependent on the system resources, for example, beds in the ED, as well as in the hospital, than on the physician. Department of Emergency Medicine, University of California, Irvine School of Medicine 2014-03 /pmc/articles/PMC3966443/ /pubmed/24672604 http://dx.doi.org/10.5811/westjem.2013.12.6860 Text en Copyright © 2014 the authors. http://creativecommons.org/licenses/by-nc/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-nc/4.0/. |
spellingShingle | Emergency Department Operations Krall, Scott P. Cornelius, Angela P. Addison, J. Bruce Hospital Factors Impact Variation in Emergency Department Length of Stay more than Physician Factors |
title | Hospital Factors Impact Variation in Emergency Department Length of Stay more than Physician Factors |
title_full | Hospital Factors Impact Variation in Emergency Department Length of Stay more than Physician Factors |
title_fullStr | Hospital Factors Impact Variation in Emergency Department Length of Stay more than Physician Factors |
title_full_unstemmed | Hospital Factors Impact Variation in Emergency Department Length of Stay more than Physician Factors |
title_short | Hospital Factors Impact Variation in Emergency Department Length of Stay more than Physician Factors |
title_sort | hospital factors impact variation in emergency department length of stay more than physician factors |
topic | Emergency Department Operations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3966443/ https://www.ncbi.nlm.nih.gov/pubmed/24672604 http://dx.doi.org/10.5811/westjem.2013.12.6860 |
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