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Increasing consultant-level staffing as a proportion of overall physician coverage improves emergency department length of stay targets

OBJECTIVES: One goal of Emergency Department (ED) operations is achieving an overall length of stay (LOS) that is less than four hours. The goal of the current study was to assess for association between increasing number of on-duty EM Consultants and LOS, while adjusting for overall (all-grade) on-...

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Autores principales: Jenkins, Dominic, Thomas, Sarah A., Pathan, Sameer A., Thomas, Stephen H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805094/
https://www.ncbi.nlm.nih.gov/pubmed/33441082
http://dx.doi.org/10.1186/s12873-020-00399-8
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author Jenkins, Dominic
Thomas, Sarah A.
Pathan, Sameer A.
Thomas, Stephen H.
author_facet Jenkins, Dominic
Thomas, Sarah A.
Pathan, Sameer A.
Thomas, Stephen H.
author_sort Jenkins, Dominic
collection PubMed
description OBJECTIVES: One goal of Emergency Department (ED) operations is achieving an overall length of stay (LOS) that is less than four hours. The goal of the current study was to assess for association between increasing number of on-duty EM Consultants and LOS, while adjusting for overall (all-grade) on-duty emergency doctors’ numbers and other operational factors. METHODS: This was a retrospective analysis of three years (2016–2019) of data, employing a unit of analysis of 3276 eight-hour ED shifts. The study was conducted using a prospectively populated ED database in a busy (annual census 420,000) Middle Eastern ED with staffing by Consultants and multiple non-Consultant grades (Specialists, fellows, and residents). Using logistic regression, the main predictor variable of “on-duty Consultant n” was assessed for association with the study’s primary (dichotomous) endpoint: whether a shift’s median LOS met the target of < 240 min. Linear regression was used to assess for association between on-duty Consultant n and the study’s secondary (continuous) endpoint: median LOS for the ED shift. RESULTS: Multivariate logistic regression adjusting for a number of operations factors (including total EP on-duty complement) identified an association between increasing n of on-duty Consultants and the likelihood of a shift’s meeting the 4-h ED LOS target (OR 1.27, 95% CI 1.20 to 1.34, p < .0001). Multiple linear regression, which also adjusted for total on-duty EP n and other operational factors, also indicated LOS benefit from more on-duty Consultants: each additional on-duty Consultant was associated with a shift’s median LOS improving by 5.4 min (95% CI 4.3 to 6.5, p < .0001). CONCLUSIONS: At the study site, in models that adjusted for overall on-duty EP numbers as well as myriad other operational factors, increasing numbers of on-duty Consultants was associated with a statistically and operationally significant reduction in ED LOS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12873-020-00399-8.
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spelling pubmed-78050942021-01-14 Increasing consultant-level staffing as a proportion of overall physician coverage improves emergency department length of stay targets Jenkins, Dominic Thomas, Sarah A. Pathan, Sameer A. Thomas, Stephen H. BMC Emerg Med Research Article OBJECTIVES: One goal of Emergency Department (ED) operations is achieving an overall length of stay (LOS) that is less than four hours. The goal of the current study was to assess for association between increasing number of on-duty EM Consultants and LOS, while adjusting for overall (all-grade) on-duty emergency doctors’ numbers and other operational factors. METHODS: This was a retrospective analysis of three years (2016–2019) of data, employing a unit of analysis of 3276 eight-hour ED shifts. The study was conducted using a prospectively populated ED database in a busy (annual census 420,000) Middle Eastern ED with staffing by Consultants and multiple non-Consultant grades (Specialists, fellows, and residents). Using logistic regression, the main predictor variable of “on-duty Consultant n” was assessed for association with the study’s primary (dichotomous) endpoint: whether a shift’s median LOS met the target of < 240 min. Linear regression was used to assess for association between on-duty Consultant n and the study’s secondary (continuous) endpoint: median LOS for the ED shift. RESULTS: Multivariate logistic regression adjusting for a number of operations factors (including total EP on-duty complement) identified an association between increasing n of on-duty Consultants and the likelihood of a shift’s meeting the 4-h ED LOS target (OR 1.27, 95% CI 1.20 to 1.34, p < .0001). Multiple linear regression, which also adjusted for total on-duty EP n and other operational factors, also indicated LOS benefit from more on-duty Consultants: each additional on-duty Consultant was associated with a shift’s median LOS improving by 5.4 min (95% CI 4.3 to 6.5, p < .0001). CONCLUSIONS: At the study site, in models that adjusted for overall on-duty EP numbers as well as myriad other operational factors, increasing numbers of on-duty Consultants was associated with a statistically and operationally significant reduction in ED LOS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12873-020-00399-8. BioMed Central 2021-01-13 /pmc/articles/PMC7805094/ /pubmed/33441082 http://dx.doi.org/10.1186/s12873-020-00399-8 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Jenkins, Dominic
Thomas, Sarah A.
Pathan, Sameer A.
Thomas, Stephen H.
Increasing consultant-level staffing as a proportion of overall physician coverage improves emergency department length of stay targets
title Increasing consultant-level staffing as a proportion of overall physician coverage improves emergency department length of stay targets
title_full Increasing consultant-level staffing as a proportion of overall physician coverage improves emergency department length of stay targets
title_fullStr Increasing consultant-level staffing as a proportion of overall physician coverage improves emergency department length of stay targets
title_full_unstemmed Increasing consultant-level staffing as a proportion of overall physician coverage improves emergency department length of stay targets
title_short Increasing consultant-level staffing as a proportion of overall physician coverage improves emergency department length of stay targets
title_sort increasing consultant-level staffing as a proportion of overall physician coverage improves emergency department length of stay targets
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805094/
https://www.ncbi.nlm.nih.gov/pubmed/33441082
http://dx.doi.org/10.1186/s12873-020-00399-8
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