Surgeon Workload in Colorectal Surgery: Perceived Drivers of Procedural Difficulty

Law, Katherine E.; Lowndes, Bethany R.; Kelley, Scott R.; Blocker, Renaldo C.; Larson, David W.; Hallbeck, M. Susan

doi:10.1016/j.jss.2019.06.084

Cited by 13 publications

(8 citation statements)

References 25 publications

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“…These outcomes are in line with the literature. In particular, an increased level of MWL has been correlated with dual-tasks [48] and tasks of very high difficulty [34][35][36]. These findings showed a consistent trend insofar as the results of the analyses of the subjective measures (i.e., NASA-TLX) matched the I/E measures, confirming our second hypothesis.…”

Section: Discussionsupporting

confidence: 75%

“…By doing so, it is possible to assess how the single sub-scale scores may be differently affected by the mental workload related to a specific task. In experiments in which mental demand is increased, participants reported higher perceived mental demand, effort, and frustration, and lower subjective perception of their task performance [34][35][36].…”

Section: Introductionmentioning

confidence: 97%

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Assessment of Implicit and Explicit Measures of Mental Workload in Working Situations: Implications for Industry 4.0

et al. 2020

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Nowadays, in the context of Industry 4.0, advanced working environments aim at achieving a high degree of human–machine collaboration. This phenomenon occurs, on the one hand, through the correct interpretation of operators’ data by machines that can adapt their functioning to support workers, and on the other hand, by ensuring the transparency of the actions of the system itself. This study used an ad hoc system that allowed the co-registration of a set of participants’ implicit and explicit (I/E) data in two experimental conditions that varied in the level of mental workload (MWL). Findings showed that the majority of the considered I/E measures were able to discriminate the different task-related mental demands and some implicit measures were capable of predicting task performance in both tasks. Moreover, self-reported measures showed that participants were aware of such differences in MWL. Finally, the paradigm’s ecology highlights that task and environmental features may affect the reliability of the various I/E measures. Thus, these factors have to be considered in the design and development of advanced adaptive systems within the industrial context.

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Section: Discussionsupporting

confidence: 75%

Section: Introductionmentioning

confidence: 97%

Assessment of Implicit and Explicit Measures of Mental Workload in Working Situations: Implications for Industry 4.0

et al. 2020

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“…Due to its sensitivity to task demands and individual differences in workload, its use has expanded beyond its original application to include other domains (e.g. automotive industry, the military, healthcare and surgical skill learning) 17–21 …”

Section: Introductionmentioning

confidence: 99%

“…automotive industry, the military, healthcare and surgical skill learning). [17][18][19][20][21] In simulation-based dental training literature, it is not yet determined how the complexity of the learned skill would affect the novice students' cognitive load and subsequent performance.…”

Section: Introductionmentioning

confidence: 99%

Simulated skill complexity and perceived cognitive load during preclinical dental training

Al‐Saud

2022

Eur J Dental Education

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IntroductionCognitive Load theory (CLT) focuses on the information processing aspect of learning and how the working memory handles the mental effort associated with new task. The aim of this study is to investigate the association between the perceived cognitive load and performance amongst dental students during preclinical simulation training at various levels of procedural task complexity. Additionally, some cognitive load‐modifying factors were examined.Materials and MethodsThis cross‐sectional study evaluated the perceived cognitive load amongst second‐year dental students (n = 34), using the validated National Aeronautics and Space Administration's Task Load Index (NASA TLX index) after training on four dental tasks at two levels of complexity, in addition to structured online anonymous questionnaire about demographics, feedback and performance. The NASA TLX raw scores and the weighted global score were calculated for each exercise. Descriptive statistics and Pearson's correlations between performance and the corresponding NASA TLX‐weighted score were calculated. Mean differences in the perceived cognitive load across the exercise levels were assessed using RM‐ANOVA with Bonferroni corrections at p < .05.ResultsReduced performance was significantly associated with higher cognitive load particularly in high complexity dental task (class II—mirror vision). Simulated exercise complexity significantly influenced the students' perceived mental demand, physical demand and temporal demand; all were significantly higher for class II‐ mirror vision task than for direct vision tasks. The majority of participants (82.1%) preferred detailed feedback from instructors, and more than half of the participants (60.7%) preferred continuous feedback throughout the training session.ConclusionComplex dental tasks are associated with higher cognitive load in novice dental students during preclinical training. The NASA TLX index is a useful instrument to explore the level of perceived cognitive load associated with performance of simulated complex dental skills. Cognitive load theory is relevant to simulation‐based dental education to improve the preclinical instructional efficiency and to enhance students learning.

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“…The difficulty in achieving a surgical procedure dramatically varies from one patient to another, independently of its intrinsic complexity ( 1 – 5 ). Several difficulty scoring systems have been published in various surgical fields.…”

Section: Introductionmentioning

confidence: 99%

Subjective Difficulty Scale in Liver Transplantation: A Prospective Observational Study

et al. 2022

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Surgeon Workload in Colorectal Surgery: Perceived Drivers of Procedural Difficulty

Cited by 13 publications

References 25 publications

Assessment of Implicit and Explicit Measures of Mental Workload in Working Situations: Implications for Industry 4.0

Assessment of Implicit and Explicit Measures of Mental Workload in Working Situations: Implications for Industry 4.0

Simulated skill complexity and perceived cognitive load during preclinical dental training

Subjective Difficulty Scale in Liver Transplantation: A Prospective Observational Study

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