ArticleThe Annals of thoracic surgery2022
Postprocedural Cognitive Load Measurement With Immediate Feedback to Guide Curriculum Development.
Article in The Annals of thoracic surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Training strategies for neck ultrasound examination and ultrasound-guided cervical lymph node biopsies: a narrative review.BMC medical education · 2026Review
- A scoping review of cognitive load assessment tools suitable for clinicians performing REBOA.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025Article
- Relationship Between Cognitive Load Theory, Intrinsic Motivation and Emotions in Healthcare Professions Education: A Perspective on the Missing Link.Advances in medical education and practice · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundMethods to assess competency in cardiothoracic training are essential. Here, we report a system that allows us to better assess competency from the perspective of both the trainee and educator. We hypothesized that postprocedural cognitive burden measurement (by the trainee) with immediate feedback (from the educator) could aid in identifying barriers to the acquisition of skills and knowledge so that training curricula can be individualized.
methodsThe National Aeronautics and Space Administration Task Load Index (NASA-TLX), a validated instrument to measure cognitive load, was administered with an online platform after bronchoscopy, esophagogastroduodenoscopy, and video-assisted thoracoscopic surgery for 11 residents. Immediate postprocedure feedback and standardized debriefing occurred for each procedure.
resultsMean NASA-TLX scores were highest (indicating greater cognitive load) for esophagogastroduodenoscopy and video-assisted thoracoscopic surgery (P < .001). When comparing subscale measures, mental demand was significantly higher for video-assisted thoracoscopic surgery (P = .026) compared with the other procedures, whereas physical demand was highest for esophagogastroduodenoscopy (P = .018). Self-reported frustration was similar for all case types (P = .247). Cognitive burden decreased with a greater number of procedures for bronchoscopy (P = .027). Significant improvement was noted by the trainee at the end of the rotation in self-assessed procedural competency and preparedness for thoracic board topics (all P < .05). Postprocedure feedback by the attending surgeon correlated with more frequent completion of self-evaluations by the residents.
conclusionsLongitudinal assessment of cognitive load in combination with postprocedural feedback identified barriers to skill acquisition for both residents and educators. This information allows for individualized rotation development as a step toward a competency-based curriculum.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.