Aim: Cognitive load theory (CLT) is of increasing interest to health professions education researchers. CLT has intuitive applicability to workplace settings, yet how CLT should inform teaching, learning, and research in health professions workplaces is unclear.
Method: To map the existing literature, we performed a scoping review of studies involving cognitive load, mental effort and/or mental workload in professional workplace settings within and outside of the health professions. We included actual and simulated workplaces and workplace tasks.
Result: Searching eight databases, we identified 4571 citations, of which 116 met inclusion criteria. Studies were most often quantitative. Methods to measure cognitive load included psychometric, physiologic, and secondary task approaches. Few covariates of cognitive load or performance were studied. Overall cognitive load and intrinsic load were consistently negatively associated with the level of experience and performance. Studies consistently found distractions and other aspects of workplace environments as contributing to extraneous load. Studies outside the health professions documented similar findings to those within the health professions, supporting relevance of CLT to workplace learning.
Conclusion: The authors discuss implications for workplace teaching, curricular design, learning environment, and metacognition. To advance workplace learning, the authors suggest future CLT research should address higher-level questions and integrate other learning frameworks.
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http://dx.doi.org/10.1080/0142159X.2018.1505034 | DOI Listing |
Sci Rep
December 2024
Harman International, HarmanX Neurosense, 30001 Cabot Dr, Novi, MI, 48377, USA.
Cognitive load (CL) is one of the leading factors moderating states and performance among drivers. Heavily increased CL may contribute to the development of mental stress. Averaged heart rate (HR) and heart rate variability (HRV) indices are shown to reflect CL levels in different tasks.
View Article and Find Full Text PDFCJC Open
December 2024
University Health Network, Toronto, Ontario, Canada.
Background: Patients with heart failure (HF) can experience a poor quality-of-life (QOL), recurring hospitalizations, and progressive disease symptoms. Patient-reported outcome measures (PROMs) integrate patients' voices into clinical care, by assessing patient symptoms, function, and QOL. In 2022, PROMs were incorporated into the electronic health record system (Epic) at a large academic hospital in Toronto, Ontario, Canada.
View Article and Find Full Text PDFJ Clin Neurosci
December 2024
Faculdade de Farmácia, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil. Electronic address:
Alzheimer's disease (AD) is the most common cause of dementia, characterized by progressive cognitive and functional decline and is associated with aging. Chronic inflammatory processes are also involved in its the etiology, as the consequence or cause of proteinopathy (amyloid and tau load in the brain). This study aimed to investigate the complete blood count and systemic inflammation indices in 61 individuals with AD, compared to 59 cognitively healthy individuals as controls.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, 15260, USA.
Multi-talker speech intelligibility requires successful separation of the target speech from background speech. Successful speech segregation relies on bottom-up neural coding fidelity of sensory information and top-down effortful listening. Here, we studied the interaction between temporal processing measured using Envelope Following Responses (EFRs) to amplitude modulated tones, and pupil-indexed listening effort, as it related to performance on the Quick Speech-in-Noise (QuickSIN) test in normal-hearing adults.
View Article and Find Full Text PDFBackground: Insomnia is a modifiable risk factor for type 2 diabetes.
Objective: Describe the methodology for the Sleep for Health study, a randomized clinical trial examining the effectiveness of digital cognitive behavioral therapy for insomnia (dCBT-I) in reducing hyperglycemia in 300 people with both insomnia and prediabetes.
Outcomes: Primary outcome is glucose level 2 h after a 75-g glucose load.
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