Inpatient clinician workload: a scoping review protocol to understand the definition, measurement and impact of non-procedural clinician workloads.
Inpatient clinician workload: a scoping review protocol to understand the definition, measurement and impact of non-procedural clinician workloads.
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DOI:
10.1136/bmjopen-2022-062878
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发表时间:
2022-12-12
期刊:
影响因子:
2.9
通讯作者:
中科院分区:
文献类型:
--
作者:
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. 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. 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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影响因子:
5.7
作者:
Linker AS;Kulkarni SA;Astik GJ;Keniston A;Sakumoto M;Eid SM;Burden M;Leykum LK;HOMERuN COVID-19 Collaborative Working Group
通讯作者:
HOMERuN COVID-19 Collaborative Working Group
影响因子:
5.7
作者:
Arogyaswamy S;Vukovic N;Keniston A;Apgar S;Bowden K;Kantor MA;Diaz M;McBeth L;Burden M
通讯作者:
Burden M
影响因子:
3.5
作者:
Fosnot, Lisa;Jones, Christine D.;Patel, Hemali
通讯作者:
Patel, Hemali
影响因子:
9.9
作者:
Demerouti, E;Bakker, AB;Schaufeli, WB
通讯作者:
Schaufeli, WB
DOI:
10.1080/21548331.2020.1832792
发表时间:
2021-01-01
期刊:
HOSPITAL PRACTICE
影响因子:
--
作者:
Dugani, Sagar B.;Geyer, Holly L.;Burton, Caroline
通讯作者:
Burton, Caroline