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Inpatient clinician workload: a scoping review protocol to understand the definition, measurement and impact of non-procedural clinician workloads

INTRODUCTION: Clinicians that care for hospitalised patients face unprecedented work conditions with exposure to highly infectious disease, exceedingly high patient numbers, and unpredictable work demands, all of which have resulted in increases in stress and burnout. Preliminary studies suggest tha...

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Autores principales: Smith, Erica Mitchell, Keniston, Angela, Welles, Christine Cara, Vukovic, Nemanja, McBeth, Lauren, Harnke, Ben, Burden, Marisha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748947/
https://www.ncbi.nlm.nih.gov/pubmed/36523243
http://dx.doi.org/10.1136/bmjopen-2022-062878
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author Smith, Erica Mitchell
Keniston, Angela
Welles, Christine Cara
Vukovic, Nemanja
McBeth, Lauren
Harnke, Ben
Burden, Marisha
author_facet Smith, Erica Mitchell
Keniston, Angela
Welles, Christine Cara
Vukovic, Nemanja
McBeth, Lauren
Harnke, Ben
Burden, Marisha
author_sort Smith, Erica Mitchell
collection PubMed
description INTRODUCTION: Clinicians that care for hospitalised patients face unprecedented work conditions with exposure to highly infectious disease, exceedingly high patient numbers, and unpredictable work demands, all of which have resulted in increases in stress and burnout. Preliminary studies suggest that increasing workloads negatively affect inpatient clinician well-being and may negatively affect job performance; yet high workloads may be prioritised secondary to financial drivers or from workforce shortages. Despite this, the correlation between workload and these negative outcomes has not been fully quantified. Additionally, there are no clear measures for inpatient clinician workload and no standards to define ideal workloads. Using the protocol described here, we will perform a scoping review of the literature to generate a comprehensive understanding of how clinician workload of medical patients is currently defined, measured in clinical settings and its impact on the workforce, patients and institutional outcomes. METHODS AND ANALYSIS: We will follow the methodology outlined by Joanna Briggs Institute and Arksey and O’Malley to conduct a comprehensive search of major electronic databases including Ovid Medline (PubMed), Embase (Embase.com), PsycINFO, ProQuest Dissertations and Google Scholar. All relevant published peer-reviewed and dissertaion grey literature will be included. Data will be extracted using a standardised form to capture key article information. Results will be presented in a descriptive narrative format. ETHICS AND DISSEMINATION: This review does not require ethics approval though all included studies will be screened to ensure appropriate approval. The synthesis of this literature will provide a better understanding of the current state of work for inpatient clinicians, associated outcomes, and will identify gaps in the literature. These findings will be used in conjunction with an expert Delphi panel to identify measures of inpatient clinician workload to then guide the development of a novel workforce mobile application to actively track clinician work. We aim to lay the groundwork for future workforce studies to understand the optimal workloads that drive key outcomes for clinicians, patients and institutions.
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spelling pubmed-97489472022-12-15 Inpatient clinician workload: a scoping review protocol to understand the definition, measurement and impact of non-procedural clinician workloads Smith, Erica Mitchell Keniston, Angela Welles, Christine Cara Vukovic, Nemanja McBeth, Lauren Harnke, Ben Burden, Marisha BMJ Open Health Policy INTRODUCTION: Clinicians that care for hospitalised patients face unprecedented work conditions with exposure to highly infectious disease, exceedingly high patient numbers, and unpredictable work demands, all of which have resulted in increases in stress and burnout. Preliminary studies suggest that increasing workloads negatively affect inpatient clinician well-being and may negatively affect job performance; yet high workloads may be prioritised secondary to financial drivers or from workforce shortages. Despite this, the correlation between workload and these negative outcomes has not been fully quantified. Additionally, there are no clear measures for inpatient clinician workload and no standards to define ideal workloads. Using the protocol described here, we will perform a scoping review of the literature to generate a comprehensive understanding of how clinician workload of medical patients is currently defined, measured in clinical settings and its impact on the workforce, patients and institutional outcomes. METHODS AND ANALYSIS: We will follow the methodology outlined by Joanna Briggs Institute and Arksey and O’Malley to conduct a comprehensive search of major electronic databases including Ovid Medline (PubMed), Embase (Embase.com), PsycINFO, ProQuest Dissertations and Google Scholar. All relevant published peer-reviewed and dissertaion grey literature will be included. Data will be extracted using a standardised form to capture key article information. Results will be presented in a descriptive narrative format. ETHICS AND DISSEMINATION: This review does not require ethics approval though all included studies will be screened to ensure appropriate approval. The synthesis of this literature will provide a better understanding of the current state of work for inpatient clinicians, associated outcomes, and will identify gaps in the literature. These findings will be used in conjunction with an expert Delphi panel to identify measures of inpatient clinician workload to then guide the development of a novel workforce mobile application to actively track clinician work. We aim to lay the groundwork for future workforce studies to understand the optimal workloads that drive key outcomes for clinicians, patients and institutions. BMJ Publishing Group 2022-12-12 /pmc/articles/PMC9748947/ /pubmed/36523243 http://dx.doi.org/10.1136/bmjopen-2022-062878 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/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, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Health Policy
Smith, Erica Mitchell
Keniston, Angela
Welles, Christine Cara
Vukovic, Nemanja
McBeth, Lauren
Harnke, Ben
Burden, Marisha
Inpatient clinician workload: a scoping review protocol to understand the definition, measurement and impact of non-procedural clinician workloads
title Inpatient clinician workload: a scoping review protocol to understand the definition, measurement and impact of non-procedural clinician workloads
title_full Inpatient clinician workload: a scoping review protocol to understand the definition, measurement and impact of non-procedural clinician workloads
title_fullStr Inpatient clinician workload: a scoping review protocol to understand the definition, measurement and impact of non-procedural clinician workloads
title_full_unstemmed Inpatient clinician workload: a scoping review protocol to understand the definition, measurement and impact of non-procedural clinician workloads
title_short Inpatient clinician workload: a scoping review protocol to understand the definition, measurement and impact of non-procedural clinician workloads
title_sort inpatient clinician workload: a scoping review protocol to understand the definition, measurement and impact of non-procedural clinician workloads
topic Health Policy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748947/
https://www.ncbi.nlm.nih.gov/pubmed/36523243
http://dx.doi.org/10.1136/bmjopen-2022-062878
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