Literature DB >> 31940153

Objective measures of workload in healthcare: a narrative review.

Daniela Fishbein1, Siddhartha Nambiar2, Kendall McKenzie2, Maria Mayorga2, Kristen Miller3, Kevin Tran4, Laura Schubel3, Joseph Agor5, Tracy Kim3, Muge Capan4.   

Abstract

PURPOSE: Workload is a critical concept in the evaluation of performance and quality in healthcare systems, but its definition relies on the perspective (e.g. individual clinician-level vs unit-level workload) and type of available metrics (e.g. objective vs subjective measures). The purpose of this paper is to provide an overview of objective measures of workload associated with direct care delivery in tertiary healthcare settings, with a focus on measures that can be obtained from electronic records to inform operationalization of workload measurement. DESIGN/METHODOLOGY/APPROACH: Relevant papers published between January 2008 and July 2018 were identified through a search in Pubmed and Compendex databases using the Sample, Phenomenon of Interest, Design, Evaluation, Research Type framework. Identified measures were classified into four levels of workload: task, patient, clinician and unit.
FINDINGS: Of 30 papers reviewed, 9 used task-level metrics, 14 used patient-level metrics, 7 used clinician-level metrics and 20 used unit-level metrics. Key objective measures of workload include: patient turnover (n=9), volume of patients (n=6), acuity (n=6), nurse-to-patient ratios (n=5) and direct care time (n=5). Several methods for operationalization of these metrics into measurement tools were identified. ORIGINALITY/VALUE: This review highlights the key objective workload measures available in electronic records that can be utilized to develop an operational approach for quantifying workload. Insights gained from this review can inform the design of processes to track workload and mitigate the effects of increased workload on patient outcomes and clinician performance. © Emerald Publishing Limited.

Entities:  

Keywords:  Care delivery needs of patients; Clinician performance; Objective workload; Task demand; Workload

Mesh:

Year:  2019        PMID: 31940153     DOI: 10.1108/IJHCQA-12-2018-0288

Source DB:  PubMed          Journal:  Int J Health Care Qual Assur        ISSN: 0952-6862


  2 in total

1.  Patient Safety Attitudes among Doctors and Nurses: Associations with Workload, Adverse Events, Experience.

Authors:  Khaild Al-Mugheed; Nurhan Bayraktar; Mohammad Al-Bsheish; Adi AlSyouf; Mu'taman Jarrar; Waleed AlBaker; Badr K Aldhmadi
Journal:  Healthcare (Basel)       Date:  2022-03-27

2.  Healthcare professionals feel empowered by implementing a hospital-based multifaceted intervention: a qualitative study using inductive thematic analysis.

Authors:  E Klooster; N Koenders; J Vermeulen-Holsen; L Vos; P J van der Wees; T J Hoogeboom
Journal:  BMC Health Serv Res       Date:  2022-07-12       Impact factor: 2.908

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.