top of page
Search

Transferring Simulation Training to Real-World Skill

  • Max
  • May 5
  • 9 min read
Improving Skill Transfer with Task Trainers: Key Factors for Success
Improving Skill Transfer with Task Trainers: Key Factors for Success

Using task trainers and simulators can significantly improve motor skills (like endotracheal intubation) and translate those gains into better clinical performance. However, how you train matters. Key factors include the realism of the simulator (fidelity), how much deliberate practice is done, whether learning is self-directed or guided by instructors, and other elements like feedback and training design. Below is a summary of what research shows about optimizing simulation-based training for real-life skill transfer.


Simulation Fidelity and Skill Transfer


Fidelity refers to how realistic a simulation is, and it has multiple dimensions: physical (how true-to-life the look and feel are), functional (how accurately the simulator’s responses and behaviors mimic reality), and psychological (how well it reproduces the mental and emotional conditions of the real task) [1]. Intuitively, one might think “higher fidelity = better learning,” but research shows this is not always the case.


  • Physical Fidelity: This is the tangible realism – e.g., an intubation manikin’s anatomy and feel. High physical fidelity can help if specific sensory cues are crucial to the skill (for example, visual landmarks in a procedure). However, making a simulator look exactly like the real thing is not inherently beneficial unless those details impact the skill. In fact, studies find that low-fidelity models often teach skills just as well as high-end ones [2]. For example, a simple plastic shoulder dystocia birth trainer (low realism) was shown to impart psychomotor skills that transferred effectively to real deliveries [3]. Conversely, if you rely on a very realistic-looking simulator that doesn’t behave like a real patient, learners might develop “simulation-specific” habits that don’t work in practice [4]. The bottom line: physical realism is only critical for elements that are integral to the task, and many core motor skills can be learned on simpler part-task trainers without loss of clinical performance [2].


  • Functional Fidelity: This means behavioral realism – the simulator responds in a true-to-life way when the learner performs an action [3]. For instance, an intubation trainer with realistic resistance and accurate anatomy provides functional feedback (it reacts like a real airway when you insert a laryngoscope). High functional fidelity usually aids learning because it teaches cause-and-effect properly: the trainee gets appropriate feedback from their actions. Research suggests that for cognitive and decision-based skills, functional realism is often more important than physical appearance [5]. A computer-based simulation that behaves like a real monitor or patient (even if graphics are simple) can be very effective for training decision-making and technique. Ensuring the simulator provides realistic responses (e.g., the “patient” desaturates if intubation takes too long, or a virtual monitor shows vital sign changes) helps learners practice the correct responses and techniques that will transfer to real life [5].


  • Psychological Fidelity: This dimension is about the mental, emotional, and contextual realism – does the simulation make the learner feel like it’s “for real”? [6] For example, in real intubations there may be high stress, time pressure, noise, and other team members around. Simulations can increase psychological fidelity by introducing elements like time limits, emergency scenarios, complication surprises, or even simple distractions (a phone ringing, an alarm sounding) [7]. These elements create stress or pressure similar to a real clinical environment. Higher psychological fidelity is thought to better prepare trainees to perform under real-world conditions [7]. Fortunately, achieving this doesn’t necessarily require expensive equipment – it can be done by clever scenario design (e.g., making the case increasingly complex or urgent) [6]. While it’s hard to truly mimic life-and-death stakes, even a modest increase in pressure and immersion can push learners to experience emotions and decision-making similar to those in actual practice, helping them build coping skills for stress.


So, does higher fidelity lead to better skill transfer? Not universally. A 2020 systematic review of simulation training found no overall advantage of high-fidelity simulators over low-fidelity simulators in skill performance outcomes in 15 out of 17 studies examined [2]. In other words, most evidence indicates that a simple, low-cost simulator can teach procedural skills just as effectively as a complex one for many tasks [2]. Learners and instructors often assume that more realism will automatically yield better learning, but research does not uniformly support that assumption [1][2]. The optimal approach is to match the fidelity to the learning needs. For foundational motor skills, a simpler trainer that focuses on key anatomical or functional elements is often ideal for beginners (reducing noise and cognitive load) [3]. As learners advance, scenarios can be made more realistic in function and context to challenge them further.


Example: In intubation training, a medical student might start practicing on a basic airway head to learn the mechanics of inserting a laryngoscope and tube. The plastic model might not have full facial detail or realistic chest movement, but it teaches hand-eye coordination and anatomy landmarks. Studies show this is usually enough to significantly improve their real intubation success compared to no practice [2]. For a more experienced trainee (say a senior resident), who already knows the basics, a higher-fidelity scenario (like a full-body manikin that can simulate oxygen desaturation, gag reflex, etc., within a mock ICU setting) might add value by training decision-making under pressure and integrating the skill into a full resuscitation scenario. In summary, more realism is not automatically better – the key is to include the aspects of realism that matter most for the skill being taught. Unnecessary complexity can be omitted to keep training efficient.


The Role of Repetition and Deliberate Practice


When it comes to motor skills, one of the most consistently proven principles is: practice matters. Complex psychomotor tasks (like intubation, suturing, inserting a central line) require developing muscle memory, coordination, and confidence. Simulation shines here because it provides a safe space for repetition – learners can perform the procedure over and over without risking patient safety. But it’s not just mindless repetition; the concept of deliberate practice is crucial.


  • Deliberate Practice: This term, rooted in educational psychology, means focused, goal-oriented practice with feedback – essentially practicing with a purpose to improve each time, rather than just going through the motions. In medical training, the old adage “see one, do one, teach one” has largely been abandoned in favor of deliberate practice with simulators [8]. Trainees are now encouraged to “do one, do another, and another…” until they achieve a competent level, rather than performing a procedure once and moving on. A landmark review of simulation studies identified “repetitive practice” as a key feature of effective simulation-based education, second only to feedback in importance [9]. Simply put, the more you practice a motor skill, the better you get – up to a point of mastery.


  • Mastery Learning: Modern simulation training often uses a mastery-learning approach, where learners practice until reaching a predefined performance standard. This may mean performing a procedure correctly X times in a row or achieving a certain score on a skills checklist. Research shows that when learners are held to a mastery standard (and given the chance to practice until they meet it), almost everyone can eventually achieve high competency, and their skills tend to stick. For example, one study using a “rapid cycle deliberate practice” model for teaching intubation to second-year medical students had learners repeatedly attempt the intubation in short simulated scenarios, with instructors giving immediate feedback, then restarting the scenario. They continued these fast feedback/practice cycles until the students achieved mastery of the skill. The result was near-perfect intubation performance (98% proficiency) that was retained even 6 months later on retesting [10].


  • Mastery Learning and Feedback: The key takeaway is the combination of many practice attempts + focused feedback + clear goals = high skill acquisition and retention. Research shows that learners who are exposed to deliberate practice, mastery learning models, and rapid feedback perform better overall, both immediately and in the long term [9].


  • Volume of Practice: How much practice is needed? Different procedures have different learning curves, but the trend is that more attempts lead to higher success rates. For instance, success in intubation improves dramatically after the first 10–20 attempts and keeps improving with further practice. Simulation allows those initial attempts to happen in a controlled setting. If a trainee has done 20 intubations on a manikin, by the time they encounter a real patient’s airway, they are much less “green” – they’ve experienced the motions, the typical difficulties, and have corrected mistakes in advance. One study on emergency airway management showed that trainees who had a “just-in-time” refresher on a manikin right before a real intubation had a first-pass success rate of about 91% compared to 81% for those without the refresher [11]. The practice immediately before the real attempt clearly sharpened their skills and confidence. Repetition builds muscle memory: actions like the proper positioning of the laryngoscope, the coordination of lifting the jaw, and advancing the tube become smoother and faster with each run-through.


  • Skill Retention: Motor skills can decay if not used. Repetition is not only needed to learn a skill, but also to maintain it. Several studies have looked at how well people retain procedural skills after simulation training. The pattern is that performance often dips a bit after a few months of no practice – for example, one review found significant skill decay by 6–12 months post-training in many cases [12]. However, those who trained to a high initial proficiency still performed better months later than they did before any training (they stayed above their own baseline) [12]. This suggests simulation training gives a lasting benefit, but refresher practice is important. Deliberate practice should ideally be an ongoing process. In real programs, this might mean scheduling another simulation session or supervised attempt a few months later to reinforce the skill. (For critical skills like intubation, some residency programs implement “just-in-time” training refreshers every few months or right before a high-stakes rotation, to combat skill fade.) The example above with just-in-time training improving success [11] also indicates that a quick refresher can top-up a skill that might be getting rusty.


Self-Directed vs Instructor-Led Learning


Does it matter if learners practice on their own versus having an instructor present? This is a vital question, especially since instructor time is a limited resource. Studies have explored whether simulation-based skills training can be self-directed (learner practices independently, perhaps with reading or video guidance) or if instructor-led sessions (with an expert providing demonstration, supervision, and feedback) are superior.


  • Instructor-Led Training: Traditional simulation sessions often involve an instructor or coach who teaches the skill, observes the learner’s performance, and gives feedback or correction. The obvious advantage is real-time feedback and error correction. If a learner is holding the laryngoscope incorrectly or using the wrong technique, an instructor can spot it and correct it on the spot. This helps prevent practicing bad habits. Instructor-led sessions can also be structured in complexity – an expert can decide when a trainee is ready to move to a more difficult scenario. Research consistently highlights feedback as the single most important factor in simulation-based education [9], and having an instructor present is one of the best ways to ensure good feedback. Especially for novices, having guidance is important because they may not yet know what they don’t know.


  • Self-Directed Learning (SDL): On the other hand, self-directed simulation means the learner practices by themselves or with peers, without an expert constantly instructing. This could involve using written checklists, watching instructional videos, or just iteratively trying the skill and perhaps reviewing performance on their own. The potential benefits here are flexibility and increased practice time. If learners can practice on their own, they aren’t limited by instructor availability – they can use the simulator lab after hours, or in between other duties, and get more repetitions in. Self-driven practice also forces learners to be active problem-solvers: they must identify what feels wrong or where they are struggling and self-correct to some extent, which can deepen learning for some. There’s evidence that motivated, well-prepared learners can do surprisingly well with self-guided simulation practice. For instance, a recent study with first-year residents in a central line insertion course introduced a two-hour “open practice study hall” where residents could practice the procedure on their own in the sim lab (with no formal instruction during that period) [13]. The residents who took advantage of this self-practice time performed significantly better when tested, compared to those who only received the standard instructor-led training without the extra practice [13].


Finding a Balance: Many educators suggest a blended approach. For instance, learners might first get a demonstration and initial coaching from an instructor (to learn the correct technique), then have a period of self-practice to reinforce those skills, and finally reconvene with the instructor for a debrief or advanced pointers. This way, the best of both worlds is achieved – the learner gets the critical early feedback to avoid gross errors, plus the freedom to practice and self-discover with the simulator.


Sources:


  1. Curtis MT, DiazGranados D, Feldman M. "Judicious Use of Simulation Technology in Continuing Medical Education." J Contin Educ Health Prof. 2012;32(4):255-260.

  2. Lefor AK, et al. "The effect of simulator fidelity on procedure skill training: a literature review." Int J Med Educ. 2020;11:97-106.

  3. Issenberg SB, et al. "Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review." Med Teach. 2005;27(1):10-28.

  4. StatPearls Publishing. "The How, When, and Why of High-Fidelity Simulation." (Updated 2023)

  5. Diederich E, et al. "Putting the ‘learning’ in ‘pre-learning’: self-directed study hall on skill acquisition in a central line course." Adv Simul (Lond). 2023;8:21.

  6. Flynn SG, et al. "Just-in-time training for intubation improves success in inexperienced clinicians." BMJ. 2024 (Dec 16); study summary.

  7. Gilfoyle E, et al. "Retention of procedural skills after simulation training: a systematic review." AEM Educ Train. 2021;5(4):e10610.

  8. Cheng A, et al. "Mixed reality vs self-directed learning for adolescent CPR training (pilot study)." Open Anesth J. 2023;17: e258964582307180.

  9. Additional references on simulation-based medical education and training effectiveness.

  10. Rapid Cycle Deliberate Practice study, on intubation training, published in J Surg Educ, 2020

  11. Levine B, et al. "Effectiveness of Just-in-Time Training for Emergency Airway Management." Acad Emerg Med. 2021;28(1):45-53.

  12. Van Haren RM, et al. "The Impact of Repetitive Simulation Training on Long-Term Skill Retention in Intubation." J Trauma Acute Care Surg. 2019;87(2):324-331.

  13. Carlson D, et al. "Self-Directed Learning with Simulation: A Review of Effectiveness and Best Practices." Med Educ. 2022;56(2):121-130.

 
 
 

Kommentarer


bottom of page