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Modelling attending physician productivity in the emergency department: a multicentre study
OBJECTIVES: Emergency physician productivity, often defined as new patients evaluated per hour, is essential to planning clinical operations. Prior research in this area considered this a static quantity; however, our group’s study of resident physicians demonstrated significant decreases in hourly...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5916102/ https://www.ncbi.nlm.nih.gov/pubmed/29545355 http://dx.doi.org/10.1136/emermed-2017-207194 |
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author | Joseph, Joshua W Davis, Samuel Wilker, Elissa H Wong, Matthew L Litvak, Ori Traub, Stephen J Nathanson, Larry A Sanchez, Leon D |
author_facet | Joseph, Joshua W Davis, Samuel Wilker, Elissa H Wong, Matthew L Litvak, Ori Traub, Stephen J Nathanson, Larry A Sanchez, Leon D |
author_sort | Joseph, Joshua W |
collection | PubMed |
description | OBJECTIVES: Emergency physician productivity, often defined as new patients evaluated per hour, is essential to planning clinical operations. Prior research in this area considered this a static quantity; however, our group’s study of resident physicians demonstrated significant decreases in hourly productivity throughout shifts. We now examine attending physicians’ productivity to determine if it is also dynamic. METHODS: This is a retrospective cohort study, conducted from 2014 to 2016 across three community hospitals in the north-eastern USA, with different schedules and coverage. Timestamps of all patient encounters were automatically logged by the sites’ electronic health record. Generalised estimating equations were constructed to predict productivity in terms of new patients per shift hour. RESULTS: 207 169 patients were seen by 64 physicians over 2 years, comprising 9822 physician shifts. Physicians saw an average of 15.0 (SD 4.7), 20.9 (SD 6.4) and 13.2 (SD 3.8) patients per shift at the three sites, with 2.97 (SD 0.22), 2.95 (SD 0.24) and 2.17 (SD 0.09) in the first hour. Across all sites, physicians saw significantly fewer new patients after the first hour, with more gradual decreases subsequently. Additional patient arrivals were associated with greater productivity; however, this attenuates substantially late in the shift. The presence of other physicians was also associated with slightly decreased productivity. CONCLUSIONS: Physician productivity over a single shift follows a predictable pattern that decreases significantly on an hourly basis, even if there are new patients to be seen. Estimating productivity as a simple average substantially underestimates physicians’ capacity early in a shift and overestimates it later. This pattern of productivity should be factored into hospitals’ staffing plans, with shifts aligned to start with the greatest volumes of patient arrivals. |
format | Online Article Text |
id | pubmed-5916102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-59161022018-04-27 Modelling attending physician productivity in the emergency department: a multicentre study Joseph, Joshua W Davis, Samuel Wilker, Elissa H Wong, Matthew L Litvak, Ori Traub, Stephen J Nathanson, Larry A Sanchez, Leon D Emerg Med J Original Article OBJECTIVES: Emergency physician productivity, often defined as new patients evaluated per hour, is essential to planning clinical operations. Prior research in this area considered this a static quantity; however, our group’s study of resident physicians demonstrated significant decreases in hourly productivity throughout shifts. We now examine attending physicians’ productivity to determine if it is also dynamic. METHODS: This is a retrospective cohort study, conducted from 2014 to 2016 across three community hospitals in the north-eastern USA, with different schedules and coverage. Timestamps of all patient encounters were automatically logged by the sites’ electronic health record. Generalised estimating equations were constructed to predict productivity in terms of new patients per shift hour. RESULTS: 207 169 patients were seen by 64 physicians over 2 years, comprising 9822 physician shifts. Physicians saw an average of 15.0 (SD 4.7), 20.9 (SD 6.4) and 13.2 (SD 3.8) patients per shift at the three sites, with 2.97 (SD 0.22), 2.95 (SD 0.24) and 2.17 (SD 0.09) in the first hour. Across all sites, physicians saw significantly fewer new patients after the first hour, with more gradual decreases subsequently. Additional patient arrivals were associated with greater productivity; however, this attenuates substantially late in the shift. The presence of other physicians was also associated with slightly decreased productivity. CONCLUSIONS: Physician productivity over a single shift follows a predictable pattern that decreases significantly on an hourly basis, even if there are new patients to be seen. Estimating productivity as a simple average substantially underestimates physicians’ capacity early in a shift and overestimates it later. This pattern of productivity should be factored into hospitals’ staffing plans, with shifts aligned to start with the greatest volumes of patient arrivals. BMJ Publishing Group 2018-05 2018-03-15 /pmc/articles/PMC5916102/ /pubmed/29545355 http://dx.doi.org/10.1136/emermed-2017-207194 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Original Article Joseph, Joshua W Davis, Samuel Wilker, Elissa H Wong, Matthew L Litvak, Ori Traub, Stephen J Nathanson, Larry A Sanchez, Leon D Modelling attending physician productivity in the emergency department: a multicentre study |
title | Modelling attending physician productivity in the emergency department: a multicentre study |
title_full | Modelling attending physician productivity in the emergency department: a multicentre study |
title_fullStr | Modelling attending physician productivity in the emergency department: a multicentre study |
title_full_unstemmed | Modelling attending physician productivity in the emergency department: a multicentre study |
title_short | Modelling attending physician productivity in the emergency department: a multicentre study |
title_sort | modelling attending physician productivity in the emergency department: a multicentre study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5916102/ https://www.ncbi.nlm.nih.gov/pubmed/29545355 http://dx.doi.org/10.1136/emermed-2017-207194 |
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