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Productivity, efficiency, and overall performance comparisons between attendings working solo versus attendings working with residents staffing models in an emergency department: A Large-Scale Retrospective Observational Study

BACKGROUND AND OBJECTIVE: Attending physician productivity and efficiency can be affected when working simultaneously with Residents. To gain a better understanding of this effect, we aim to compare productivity, efficiency, and overall performance differences among Attendings working solo versus wo...

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Autores principales: Robinson, Richard D., Dib, Sasha, Mclarty, Daisha, Shaikh, Sajid, Cheeti, Radhika, Zhou, Yuan, Ghasemi, Yasaman, Rahman, Mdmamunur, Schrader, Chet D., Wang, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7001986/
https://www.ncbi.nlm.nih.gov/pubmed/32023302
http://dx.doi.org/10.1371/journal.pone.0228719
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author Robinson, Richard D.
Dib, Sasha
Mclarty, Daisha
Shaikh, Sajid
Cheeti, Radhika
Zhou, Yuan
Ghasemi, Yasaman
Rahman, Mdmamunur
Schrader, Chet D.
Wang, Hao
author_facet Robinson, Richard D.
Dib, Sasha
Mclarty, Daisha
Shaikh, Sajid
Cheeti, Radhika
Zhou, Yuan
Ghasemi, Yasaman
Rahman, Mdmamunur
Schrader, Chet D.
Wang, Hao
author_sort Robinson, Richard D.
collection PubMed
description BACKGROUND AND OBJECTIVE: Attending physician productivity and efficiency can be affected when working simultaneously with Residents. To gain a better understanding of this effect, we aim to compare productivity, efficiency, and overall performance differences among Attendings working solo versus working with Residents in an Emergency Department (ED). METHODS: Data were extracted from the electronic medical records of all patients seen by ED Attendings and/or Residents during the period July 1, 2014 through June 30, 2017. Attending productivity was measured based on the number of new patients enrolled per hour per provider. Attending efficiency was measured based on the provider-to-disposition time (PDT). Attending overall performance was measured by Attending Performance Index (API). Furthermore, Attending productivity, efficiency, and overall performance metrics were compared between Attendings working solo and Attendings working with Residents. The comparisons were analyzed after adjusting for confounders via propensity score matching. RESULTS: A total of 15 Attendings and 266 Residents managing 111,145 patient encounters over the study period were analyzed. The mean (standard deviation) of Attending productivity and efficiency were 2.9 (1.6) new patients per hour and 2.7 (1.8) hours per patient for Attendings working solo, in comparison to 3.3 (1.9) and 3.0 (2.0) for Attendings working with Residents. When paired with Residents, the API decreased for those Attendings who had a higher API when working solo (average API dropped from 0.21 to 0.19), whereas API increased for those who had a lower API when working solo (average API increased from 0.13 to 0.16). CONCLUSION: In comparison to the Attending working solo staffing model, increased productivity with decreased efficiency occurred among Attendings when working with Residents. The overall performance of Attendings when working with Residents varied inversely against their performance when working solo.
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spelling pubmed-70019862020-02-18 Productivity, efficiency, and overall performance comparisons between attendings working solo versus attendings working with residents staffing models in an emergency department: A Large-Scale Retrospective Observational Study Robinson, Richard D. Dib, Sasha Mclarty, Daisha Shaikh, Sajid Cheeti, Radhika Zhou, Yuan Ghasemi, Yasaman Rahman, Mdmamunur Schrader, Chet D. Wang, Hao PLoS One Research Article BACKGROUND AND OBJECTIVE: Attending physician productivity and efficiency can be affected when working simultaneously with Residents. To gain a better understanding of this effect, we aim to compare productivity, efficiency, and overall performance differences among Attendings working solo versus working with Residents in an Emergency Department (ED). METHODS: Data were extracted from the electronic medical records of all patients seen by ED Attendings and/or Residents during the period July 1, 2014 through June 30, 2017. Attending productivity was measured based on the number of new patients enrolled per hour per provider. Attending efficiency was measured based on the provider-to-disposition time (PDT). Attending overall performance was measured by Attending Performance Index (API). Furthermore, Attending productivity, efficiency, and overall performance metrics were compared between Attendings working solo and Attendings working with Residents. The comparisons were analyzed after adjusting for confounders via propensity score matching. RESULTS: A total of 15 Attendings and 266 Residents managing 111,145 patient encounters over the study period were analyzed. The mean (standard deviation) of Attending productivity and efficiency were 2.9 (1.6) new patients per hour and 2.7 (1.8) hours per patient for Attendings working solo, in comparison to 3.3 (1.9) and 3.0 (2.0) for Attendings working with Residents. When paired with Residents, the API decreased for those Attendings who had a higher API when working solo (average API dropped from 0.21 to 0.19), whereas API increased for those who had a lower API when working solo (average API increased from 0.13 to 0.16). CONCLUSION: In comparison to the Attending working solo staffing model, increased productivity with decreased efficiency occurred among Attendings when working with Residents. The overall performance of Attendings when working with Residents varied inversely against their performance when working solo. Public Library of Science 2020-02-05 /pmc/articles/PMC7001986/ /pubmed/32023302 http://dx.doi.org/10.1371/journal.pone.0228719 Text en © 2020 Robinson et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Robinson, Richard D.
Dib, Sasha
Mclarty, Daisha
Shaikh, Sajid
Cheeti, Radhika
Zhou, Yuan
Ghasemi, Yasaman
Rahman, Mdmamunur
Schrader, Chet D.
Wang, Hao
Productivity, efficiency, and overall performance comparisons between attendings working solo versus attendings working with residents staffing models in an emergency department: A Large-Scale Retrospective Observational Study
title Productivity, efficiency, and overall performance comparisons between attendings working solo versus attendings working with residents staffing models in an emergency department: A Large-Scale Retrospective Observational Study
title_full Productivity, efficiency, and overall performance comparisons between attendings working solo versus attendings working with residents staffing models in an emergency department: A Large-Scale Retrospective Observational Study
title_fullStr Productivity, efficiency, and overall performance comparisons between attendings working solo versus attendings working with residents staffing models in an emergency department: A Large-Scale Retrospective Observational Study
title_full_unstemmed Productivity, efficiency, and overall performance comparisons between attendings working solo versus attendings working with residents staffing models in an emergency department: A Large-Scale Retrospective Observational Study
title_short Productivity, efficiency, and overall performance comparisons between attendings working solo versus attendings working with residents staffing models in an emergency department: A Large-Scale Retrospective Observational Study
title_sort productivity, efficiency, and overall performance comparisons between attendings working solo versus attendings working with residents staffing models in an emergency department: a large-scale retrospective observational study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7001986/
https://www.ncbi.nlm.nih.gov/pubmed/32023302
http://dx.doi.org/10.1371/journal.pone.0228719
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