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Does crowding influence emergency department treatment time and disposition?

OBJECTIVE: The objective of this study was to determine whether crowding influences treatment times and disposition decisions for emergency department (ED) patients. METHODS: We conducted a retrospective cohort study at 2 hospitals from January 1, 2014, to July 1, 2014. Adult ED visits with disposit...

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Autores principales: Hoot, Nathan R., Banuelos, Rosa C., Chathampally, Yashwant, Robinson, David J., Voronin, Benjamin W., Chambers, Kimberly A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7819268/
https://www.ncbi.nlm.nih.gov/pubmed/33521777
http://dx.doi.org/10.1002/emp2.12324
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author Hoot, Nathan R.
Banuelos, Rosa C.
Chathampally, Yashwant
Robinson, David J.
Voronin, Benjamin W.
Chambers, Kimberly A.
author_facet Hoot, Nathan R.
Banuelos, Rosa C.
Chathampally, Yashwant
Robinson, David J.
Voronin, Benjamin W.
Chambers, Kimberly A.
author_sort Hoot, Nathan R.
collection PubMed
description OBJECTIVE: The objective of this study was to determine whether crowding influences treatment times and disposition decisions for emergency department (ED) patients. METHODS: We conducted a retrospective cohort study at 2 hospitals from January 1, 2014, to July 1, 2014. Adult ED visits with dispositions of discharge, admission, or transfer were included. Treatment times were modeled by linear regression with log‐transformation; disposition decisions (admission or transfer vs discharge) were modeled by logistic regression. Both models adjusted for chief complaint, Emergency Severity Index (ESI), and 4 crowding metrics in quartiles: waiting count, treatment count, boarding count, and National Emergency Department Overcrowding Scale. RESULTS: We included 21,382 visits at site A (12.9% excluded) and 29,193 at site B (15.0% excluded). Respective quartiles of treatment count increased treatment times by 7.1%, 10.5%, and 13.3% at site A (P < 0.001) and by 4.0%, 6.5%, and 10.2% at site B (P < 0.001). The fourth quartile of treatment count increased estimates of treatment time for patients with chest pain and ESI level 2 from 2.5 to 2.9 hours at site A (20 minutes) and from 3.0 to 3.3 hours at site B (18 minutes). Treatment times decreased with quartiles of waiting count by 5.6%, 7.2%, and 7.3% at site B (P < 0.001). Odds of admission or transfer increased with quartiles of waiting count by 8.7%, 9.6%, and 20.3% at site A (P = 0.011) and for the third (11.7%) and fourth quartiles (27.3%) at site B (P < 0.001). CONCLUSIONS: Local crowding influenced ED treatment times and disposition decisions at 2 hospitals after adjusting for chief complaint and ESI.
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spelling pubmed-78192682021-01-29 Does crowding influence emergency department treatment time and disposition? Hoot, Nathan R. Banuelos, Rosa C. Chathampally, Yashwant Robinson, David J. Voronin, Benjamin W. Chambers, Kimberly A. J Am Coll Emerg Physicians Open The Practice of Emergency Medicine OBJECTIVE: The objective of this study was to determine whether crowding influences treatment times and disposition decisions for emergency department (ED) patients. METHODS: We conducted a retrospective cohort study at 2 hospitals from January 1, 2014, to July 1, 2014. Adult ED visits with dispositions of discharge, admission, or transfer were included. Treatment times were modeled by linear regression with log‐transformation; disposition decisions (admission or transfer vs discharge) were modeled by logistic regression. Both models adjusted for chief complaint, Emergency Severity Index (ESI), and 4 crowding metrics in quartiles: waiting count, treatment count, boarding count, and National Emergency Department Overcrowding Scale. RESULTS: We included 21,382 visits at site A (12.9% excluded) and 29,193 at site B (15.0% excluded). Respective quartiles of treatment count increased treatment times by 7.1%, 10.5%, and 13.3% at site A (P < 0.001) and by 4.0%, 6.5%, and 10.2% at site B (P < 0.001). The fourth quartile of treatment count increased estimates of treatment time for patients with chest pain and ESI level 2 from 2.5 to 2.9 hours at site A (20 minutes) and from 3.0 to 3.3 hours at site B (18 minutes). Treatment times decreased with quartiles of waiting count by 5.6%, 7.2%, and 7.3% at site B (P < 0.001). Odds of admission or transfer increased with quartiles of waiting count by 8.7%, 9.6%, and 20.3% at site A (P = 0.011) and for the third (11.7%) and fourth quartiles (27.3%) at site B (P < 0.001). CONCLUSIONS: Local crowding influenced ED treatment times and disposition decisions at 2 hospitals after adjusting for chief complaint and ESI. John Wiley and Sons Inc. 2020-12-03 /pmc/articles/PMC7819268/ /pubmed/33521777 http://dx.doi.org/10.1002/emp2.12324 Text en © 2020 The Authors. JACEP Open published by Wiley Periodicals LLC on behalf of the American College of Emergency Physicians. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle The Practice of Emergency Medicine
Hoot, Nathan R.
Banuelos, Rosa C.
Chathampally, Yashwant
Robinson, David J.
Voronin, Benjamin W.
Chambers, Kimberly A.
Does crowding influence emergency department treatment time and disposition?
title Does crowding influence emergency department treatment time and disposition?
title_full Does crowding influence emergency department treatment time and disposition?
title_fullStr Does crowding influence emergency department treatment time and disposition?
title_full_unstemmed Does crowding influence emergency department treatment time and disposition?
title_short Does crowding influence emergency department treatment time and disposition?
title_sort does crowding influence emergency department treatment time and disposition?
topic The Practice of Emergency Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7819268/
https://www.ncbi.nlm.nih.gov/pubmed/33521777
http://dx.doi.org/10.1002/emp2.12324
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