Objective: In the present study, we explored the state versus trait aspects of measures of task and team workload in a disaster simulation.
Background: There is often a need to assess workload in both individual and collaborative settings. Researchers in this field often use the NASATask Load Index (NASA-TLX) as a global measure of workload by aggregating the NASA-TLX's component items. Using this practice, one may overlook the distinction between traits and states.
Method: Fifteen dyadic teams (11 inexperienced, 4 experienced) completed five sessions of a tsunami disaster simulator. After every session, individuals completed a modified version of the NASA-TLX that included team workload measures.We then examined the workload items by using a between-subjects and within-subjects perspective.
Results: Between-subjects and within-subjects correlations among the items indicated the workload items are more independent within subjects (as states) than between subjects (as traits). Correlations between the workload items and simulation performance were also different at the trait and state levels.
Conclusion: Workload may behave differently at trait (between-subjects) and state (within-subjects) levels.
Application: Researchers interested in workload measurement as a state should take a within-subjects perspective in their analyses.
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http://dx.doi.org/10.1177/0018720813490727 | DOI Listing |
Radiat Oncol
January 2025
Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Background And Purpose: Treatment record contains most of information related to treatment plan delivery in radiation therapy. Reviewing treatment record is an important quality assurance (QA) task for safety and quality of patient treatments. This task is usually performed by senior medical physicists.
View Article and Find Full Text PDFJ Eval Clin Pract
February 2025
Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
Aim(s): This study aims to evaluate the workload of clinical nurses by measuring the work relative value (work RVU) of common nursing items based on the resource-based relative value scale in China.
Background: Various single measurements have been employed to measure the nursing workload, but no comprehensive method has yet to be developed in China.
Methods: A descriptive study was conducted to construct a common item set for nursing work in general wards on the basis of the 2019 History Information System nursing database from Class A tertiary hospitals to identify the time associated with each service.
Indian J Crit Care Med
January 2025
Department of Anaesthesiology and Critical Care, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Introduction: Delirium is a syndrome commonly seen in intensive care unit (ICU) patients. It is characterized by acute changes in mental status, inattention, disorganized thinking, and altered level of consciousness. Due to its higher prevalence in mechanically ventilated ICU patients, it is crucial to recognize it early and implement standardized evidence-based protocols for preventing it in regular practice.
View Article and Find Full Text PDFHum Resour Health
January 2025
Health Development Research Department, Capital Institute of Pediatrics, Beijing, 100020, People's Republic of China.
Background: Quantitative methods for estimating the workload of primary healthcare (PHC) workers are essential for improving the performance of PHC institutions. However, measuring the workload of PHC workers is challenging due to the diverse and complex range of services covered by PHC. This study aims to use an equivalent value (EV)-based approach to assess the workload of PHC workers and inform policymakers about the current workload burden in Beijing, China.
View Article and Find Full Text PDFBiomed Phys Eng Express
January 2025
Department of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Gunma, Japan.
In digital image diagnosis using medical displays, it is crucial to rigorously manage display devices to ensure appropriate image quality and diagnostic safety. The aim of this study was to develop a model for the efficient quality control (QC) of medical displays, specifically addressing the measurement items of contrast response and maximum luminance as part of constancy testing, and to evaluate its performance. In addition, the study focused on whether these tasks could be addressed using a multitasking strategy.
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