ArticleMedical education2021
The medical pause: Importance, processes and training.
Article in Medical education, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06235788 (Effect of Intelligent Tutor Induced Pausing on Learning Simulated Surgical Skills Among Medical Students), which is not on this map. Cited by 10 papers.
What it found
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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.
Effect of Intelligent Tutor Induced Pausing on Learning Simulated Surgical Skills Among Medical Students: A Randomized Controlled Trial
Who cites it
10 citing papers in PubMed.
- AI in Surgical Curriculum Design and Unintended Outcomes for Technical Competencies in Simulation Training.JAMA network open · 2023Trial
- Effects of reflection-through-action on collaborative clinical reasoning skills in an emergency dental simulation.Advances in simulation (London, England) · 2026Article
- When to Take a Break: Comparing Effects of Systematic Short (Pomodoro) and Self-Regulated Breaks on Subjective Experience and Actual Learning.Behavioral sciences (Basel, Switzerland) · 2026Article
- Emergency department eCPR: an exploratory observational study of human factors.BMC emergency medicine · 2026Observational
- Relational care in palliative care units: a qualitative study of low-threshold volunteer hospice conversations.BMC health services research · 2026Article
- Learners' perceptions of the medical pause: cognitive load and team performance.Frontiers in psychology · 2026Article
- Investigating the Effectiveness of Self-Regulated, Pomodoro, and Flowtime Break-Taking Techniques Among Students.Behavioral sciences (Basel, Switzerland) · 2025Article
- Optimizing self-organized study orders: combining refutations and metacognitive prompts improves the use of interleaved practice.NPJ science of learning · 2024Article
- Shaken and stirred: emotional state, cognitive load, and performance of junior residents in simulated resuscitation.Canadian medical education journal · 2021Article
- The medical pause: Importance, processes and training.Medical education · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Research has shown that taking 'timeouts' in medical practice improves performance and patient safety. However, the benefits of taking timeouts, or pausing, are not sufficiently acknowledged in workplaces and training programmes. To promote this acknowledgement, we suggest a systematic conceptualisation of the medical pause, focusing on its importance, processes and implementation in training programmes. By employing insights from educational and cognitive psychology, we first identified pausing as an important skill to interrupt negative momentum and bolster learning. Subsequently, we categorised constituent cognitive processes for pausing skills into two phases: the decision-making phase (determining when and how to take pauses) and the executive phase (applying relaxation or reflection during pauses). We present a model that describes how relaxation and reflection during pauses can optimise cognitive load in performance. Several strategies to implement pause training in medical curricula are proposed: intertwining pause training with training of primary skills, providing second-order scaffolding through shared control and employing auxiliary tools such as computer-based simulations with a pause function.
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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.