10 Zichen Zhao & Robert M. Sweet WWAMI Institute for Simulation in Healthcare (WISH), University of Washington, Seattle, WA, USA Urologists developed endoscopy in surgery with a focus on lower tract endoscopy in the late nineteeth and early twentieth centuries, with pioneers such as Grunfeld, Nitze, Ringleb, Goldschmidt, Desormeaux, Kelly, Brenner, and Casper. Luminaries such as Beer, Luys, Young, Davis, Buerger, Albarran, Heitz‐Boyer, Goldschmidt, Stern, McArthy, Nesbit, Alcock, and Flocks continued to evolve the techniques and equipment. Retrograde and antegrade endourologic approaches to the upper tract were introduced by Cromwell and Kelly and subsequently developed by Marshall, Rupel and Brown, Fernstrom and Johansson, Goodwin, Bagley, Clayman, Smith, Lange, Segura, and Amplatz [1, 2]. The term “endourology” was coined by Drs. Elwin Fraley, Arthur Smith, Paul Lange, and Ralph Clayman and their team at the University of Minnesota. The principles and techniques associated with endourology has become a cornerstone for what we teach trainees in order to practice modern‐day urology [3]. Medical educators for endourology continually search for the optimum modalities and methods for both skills training and competency assessment. Taxonomies for the acquisition of technical skills outside of surgery have been developed by Dreyfus and Dreyfus, Dave, and several others [4, 5]. Figure 10.1 shows a combination of these two taxonomies and provides a matrix for classifying and understanding the progression of technical skill for urology [6]. As a trainee moves from what Dave’s taxonomy describes as imitation to manipulation, what is happening according to Dreyfus and Dreyfus is a maturation of recollection of knowledge from non‐situational to situational. This probably represents the “low bar” for the end of a training program prior to practice as it stands today. As someone evolves from manipulation to precision, their recognition of cues and knowledge moves from decomposed to a more holistic view. This translates to moving from “competent” to “proficient” and represents what happens early in one’s independent practice. Note that there are still errors being performed as one’s brain wants to begin multitasking and shifting to “automaticity” mode that represents less cognitive load. The evolution from precision to articulation is when we can start to multitask and represents a parallel transformation to “expertise.” Here, our decision‐making abilities become less analytical and more intuitive, freeing up the cognitive load to be able to multitask. This is probably where most practicing endourologists are functioning for most skills that are performed on a regular basis. Becoming a true “master” represents high‐functioning on autopilot. At this level, an individual’s awareness has evolved from monitoring the situation to completely being absorbed (virtuoso). Invention and skillful troubleshooting happen naturally during this phase. The Halstedian apprenticeship model heavily relies upon the accumulation of considerable operative experience gathered during several years of demanding training [7]. Such “on the job training,” with the combination of attestations, case volumes, skills evaluations, and index cases, has been accepted as effective, although correlation to “objective” performance educational outcomes has been poorly studied for endourology. In parallel, the evolution of endourology has been accelerated and represents a core skillset for the practicing urologist. There are unique learning objectives for endourology related to image‐guided surgery, rigid and flexible scope manipulation, advanced Seldinger techniques, endoluminal manipulations, laparoscopy, and robotics. The learning curves associated with these skillsets represent [3] possible barriers to optimal practice and endourology fellowships are often required to obtain proficiency and expertise in these skills. The increasing awareness of patient safety, along with the growing debate on the ethicality of completing initial learning curves on patients, and the necessity of assessing the competency in a more reasonable fashion, also urge the clinical providers to seek an adjunct modality to enhance the traditional education and training pattern. Surgical performance in endourology is based on a combination of both technical and nontechnical skills. Medical simulation provides a no‐risk platform for learners not only to acquaint and develop new skills, but also to refine and perfect their abilities to achieve expertise and mastery [3]. When integrated into medical education, simulation not only enables the trainees to bypass the early error‐prone period and reduce the steepness of the technical skills learning curve [7], but also develop nontechnical skills during training, which all contribute to secure the patient’s safety and well‐being [8]. Engineering is the art of modeling materials we do not wholly understand, into shapes we cannot precisely analyze so as to withstand forces we cannot properly assess, in such a way that the public has no reason to suspect the extent of our ignorance. (Dr. AR Dykes) Simulation development for training in endourology, as was the case for all of healthcare, was more of an art than a science. The fledgling healthcare simulation industry, in an effort to protect intellectual property, would often keep their early prototypes a close secret and would subsequently waste precious time and money in re‐engineering major design flaws with advanced prototypes or, worse yet, compromise on learning objectives. The excitement associated with the promise of simulators as a solution for both training and assessment turned into disillusionment for many healthcare educators. Today, a boom of information technology, wireless technologies, material science, manufacturing, and, most important, the conceptual evolution of simulation‐based education are influencing simulation in endourology. Simulation, as a valid and safe supplement modality in healthcare education, is slowly becoming embraced by academic medical centers around the world, and is being used to train and assess all of the domains that are linked to performance in healthcare including technical and nontechnical skills for both individuals and healthcare teams. Tables 10.1–10.6 summarize the available simulators for urological skills training. They are classified by procedural application and simulator type. Table 10.1 Available simulators for urethrocystoscopic skills simulation training. a Validated with Uro‐Mentor. b Not commercially available. BAUS, British Association of Urological Surgeons; CCMIJU, Minimally Invasive Surgery Centre Jesús Usón; CHE, Catharina Hospital Eindhoven; CREST, Center for Research in Education and Simulation Technologies; GWU, George Washington University; lo‐fi, low fidelity; UW, University of Washington; VR, virtual reality. Table 10.2 Available simulators for ureterorenoscopic skills simulation training. a Validated with Uro‐Scopic Trainer and Uro‐Mentor. b Validated with Uro‐Mentor. c Not commercially available. BAUS, British Association of Urological Surgeons; CCMIJU, Minimally Invasive Surgery Centre Jesús Usón; CREST, Center for Research in Education and Simulation Technologies; lo‐fi, low fidelity; UCI, University of California, Irvine; URS, ureterorenoscopic; UT, University of Toronto; UW, University of Washington; VR, virtual reality. Table 10.3 Available simulators for transurethral resection skills simulation training. a Available for use by the company for temporary loan. b Not commercially available. BAUS, British Association of Urological Surgeons; CREST, Center for Research in Education and Simulation Technologies; HoLEP, Holmium Laser Enucleation of the Prostate; PVP, photoselective vaporization of the prostate; TURBT, transurethral resection of bladder tumor; TURP, transurethral resection of prostate; UW, University of Washington; VR, virtual reality. Table 10.4 Available simulators for percutaneous nephrolithotomy skills simulation training.
Endoscopic Training/Simulation
Introduction/background
Current state of simulation in endoscopic urological training
Type
Trainer/simulator
Manufacturer
Built‐in assessment
Cognitive component
Haptic feedback
Face validity
Content validity
Construct validity
Concurrent validity
Predictive validity
Discriminant validity
Cost (USD)
Ref.
Bench
ETXY‐Uro Adam
ProDelphus,
Brazil
N/A
N/A
Yes
Yes
Yes
Yes
No
No
No
≈5200
[13]
Bench
(lo‐fi)
Glass Globe
CHE, Netherlands
N/A
N/A
Yes
Yesa
No
Yesa
No
No
No
N/A
[14]
Bench
Urinary tract model
UW CREST, USA
N/A
N/A
Yes
No
No
Yes
No
No
No
≈1500–1800
[14, 16]
Bench
Uro‐Scopic Trainer
Limbs and Things, UK
N/A
N/A
Yes
Yesa
No
Yesa
No
No
No
≈2900
[17]
Ex vivo
Boar urinary tract
Mayo Clinic, USA
N/A
N/A
Yes
No
No
Yes
No
No
No
N/A
[18]
Human cadaver
Fresh frozen human cadavers
UA, USA & BAUS, UK
N/A
N/A
Yes
Yes
Yes
Yes
No
No
No
N/A
[19, 20]
Live animal
Live porcine
CCMIJU, Spain
N/A
N/A
Yes
Yes
Yes
No
No
No
No
N/A
[13]
VR
Urinary tract simulator
GWU, USA
No
No
Yes
Yes
Yes
No
No
No
No
N/A
[21]
VR
Uro‐Mentor
Simbionix, USA
Yes
Yes
Yes
Yes
Yes
Yes
No
Yes
No
≈105 000
[22–32]
VR
Uro‐Trainer
Karl Storz, Germany
Yes
Yes
Yes
No
Yes
Yes
No
No
No
N/Ab
[33]
Type
Trainer/simulator
Manufacturer
Built‐in assessment
Cognitive component
Haptic feedback
Face validity
Content validity
Construct validity
Concurrent validity
Predictive validity
Discriminant validity
Cost (USD)
Ref.
Bench
Adult Ureteroscopy Trainer
Ideal Anatomic Modelling, USA
N/A
N/A
Yes
Yes
Yes
Yes
No
No
No
N/A
[34]
Bench
Cook URS Model
Cook Medical, USA
N/A
N/A
Yes
Yes
Yes
Yes
No
No
No
N/Ac
[35]
Bench
Endo‐Urologie‐Modell
Karl Storz, Germany
N/A
N/A
Yes
Yes
No
Yes
No
No
No
N/Ac
[36]
Bench
EndoUro‐Trainer
Samed, Germany
N/A
N/A
Yes
Yes
Yes
Yes
No
No
No
≈3800
[37]
Bench
Scope Trainer
Mediskills, UK
N/A
N/A
Yes
Yes
Yes
Yes
No
Yes
No
≈3000
[38, 39]
Bench
Urinary Tract Model
UW CREST, USA
N/A
N/A
Yes
Yes
Yes
Yes
No
No
No
≈420–1800
[15, 16]
Bench
Uro‐Scopic Trainer
Limbs and Things, UK
N/A
N/A
Yes
Yes
No
Yes
Yes
No
No
≈3000
[36, 40–44]
Bench (lo‐fi)
Penrose Drain
UT, Canada
N/A
N/A
Yes
No
No
No
Yes
No
No
≈16
[44]
Bench + ex vivo + live animal
ETXY‐Uro Adam
Neoderma, Brazil
N/A
N/A
Yes
Yes
Yes
Yes
No
No
No
≈5200 (bench only)
[13]
Ex vivo
Porcine ex vivo model
UCI, USA & CCMIJU, Spain
N/A
N/A
Yes
Yes
Yes
Yes
Yesa
No
No
N/A
[13, 43, 45]
Human cadaver
Human cadavers
BAUS, UK
N/A
N/A
Yes
Yes
Yes
Yesb
No
Yesb
No
N/A
[19, 46, 47]
Live animal
Live porcine
CCMIJU, Spain
N/A
N/A
Yes
Yes
Yes
No
No
No
N/A
[13]
VR
Uro‐Mentor
Simbionix, USA
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
≈105 000
[22, 25, 26, 28, 29, 31, 36, 40, 42, 46, 48–50]
Procedural application
Type
Trainer/simulator
Manufacturer
Built‐in assessment
Cognitive component
Haptic feedback
Face validity
Content validity
Construct validity
Concurrent validity
Predictive validity
Discriminant validity
Cost
(USD)
Ref.
HoLEP
bench
Holmium Surgical Simulator
KMU, Japan
No
No
Yes
Yes
Yes
No
No
No
No
N/A
[51]
HoLEP
VR
UroSim
VirtalMed, Switzerland
Yes
Yes
Yes
Yes
Yes
Yes
No
No
No
≈78 000
[52]
PVP
VR
GreenLight Sim
Boston Scientific/UW CREST, USA
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
No
0a
[53–55]
PVP (Diode)
VR
Myo Sim
VirtalMed, Switzerland
Yes
Yes
Yes
No
No
Yes
No
No
Yes
≈78 000
[56]
TURBT
bench
Bristol TURBT Trainer
Limbs and Things, UK
N/A
N/A
Yes
Yes
Yes
Yes
No
No
No
N/A
[31]
TURBT
VR
Uro‐Trainer
Karl Storz, Germany
Yes
Yes
Yes
No
Yes
Yes
No
No
No
N/Ab
[57, 58]
TURBT & TURP
bench
Resection trainer (Simbla Simulator)
Samed Dresden, Germany
N/A
N/A
Yes
Yes
Yes
Yes
No
No
No
≈4200
[59]
TURP
bench
Bristol TURP Trainer
Limbs and Things, UK
N/A
N/A
Yes
Yes
Yes
Yes
No
No
No
≈1200
[31, 60, 61]
TURP
VR
PelvicVision TURP simulator
Melerit Medical, Sweden
Yes
Yes
Yes
Yes
Yes
Yes
No
No
No
N/Ab
[62–64]
TURP
VR
Uro‐Trainer
Karl Storz, Germany
Yes
Yes
Yes
Yes
Yes
No
No
No
No
N/Ab
[65]
TURP
VR
UroSim/TURP Mentor
VirtalMed, Switzerland & Simbionix, USA
Yes
Yes
Yes
Yes
Yes
Yes
No
No
No
≈78 000
[66–68]
TURP
VR
UW TURP Trainer
CAE Healthcare, Canada
Yes
Yes
Yes
Yes
Yes
Yes
No
No
No
N/A
[69–71]
TURP
human cadaver
Fresh Frozen Cadavers
BAUS, UK
N/A
N/A
Yes
Yes
Yes
No
No
No
No
N/A
[19]
Type
Trainer/simulator
Manufacturer
Built‐in assessment
Cognitive component
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