Do Motion Metrics Lead to Improved Skill Acquisition on Simulators?
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ClinicalTrials.gov Identifier: NCT01052168 |
Recruitment Status :
Completed
First Posted : January 20, 2010
Last Update Posted : April 27, 2022
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Emphasizing the growing popularity of motion metrics are the majority of available virtual reality simulators and some newer hybrid models that offer motion tracking for performance assessment. A popular hybrid model (PROMIS) allows training with regular laparoscopic instruments in a box-trainer while automatically recording task duration and movement efficiency (pathlength and smoothness) that are immediately offered as feedback to trainees.
Despite the increasing availability of simulators that track motion, our knowledge of the impact those metrics have on trainee learning is severely limited. We do not know if it is more important to use speed, accuracy, motion efficiency or a combination thereof for performance assessment and how these metrics impact skill transfer to the OR.
Based on sound educational principles we have developed a proficiency-based laparoscopic suturing simulator curriculum. This curriculum focuses on deliberate and distributed practice, provides trainees with augmented feedback and sets expert-derived performance goals based on time and errors. We have previously demonstrated that this curriculum leads to improved operative performance of trainees compared to controls.
To measure operative performance and determine transferability, we will use a live porcine Nissen fundoplication model. Instead of placing actual patients at risk, the porcine model is preferable for this purpose as it offers objective metrics (targets are established, distances measured, knots are disrupted for slippage scoring), complete standardization, and allows multiple individuals to be tested on the same day.
We hypothesize that proficiency-based simulator training in laparoscopic suturing to expert-derived levels of speed and motion will result in better operative performance compared to participants training to levels of speed or motion alone. The study is powered to detect an at least 10% performance difference between the groups.
Specific Aims
- Compare whether any performance differences between the groups persist long-term
- Assess whether the groups demonstrate differences in safety in the operating room by comparing the inadvertent injuries in the animal OR between the groups
- Identify the training duration required by novices to reach proficiency in laparoscopic suturing based on speed, motion efficiency, or a combination of these metrics
- Identify any baseline participant characteristics that may predict individual metric-specific performance
Condition or disease | Intervention/treatment | Phase |
---|---|---|
Performance Assessment Motion Metrics | Other: skills training | Not Applicable |
Study Type : | Interventional (Clinical Trial) |
Actual Enrollment : | 42 participants |
Allocation: | Randomized |
Intervention Model: | Parallel Assignment |
Masking: | Single (Outcomes Assessor) |
Primary Purpose: | Basic Science |
Official Title: | Do Motion Metrics Lead to Improved Skill Acquisition on Simulators? |
Study Start Date : | November 2009 |
Actual Primary Completion Date : | December 2011 |
Actual Study Completion Date : | December 2011 |

Arm | Intervention/treatment |
---|---|
Active Comparator: Speed Group
The Speed Group, (n=20) will train in laparoscopic suturing on the validated FLS suturing model until the expert level of speed (i.e. task duration < 70 seconds) has been achieved on two consecutive attempts.
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Other: skills training
participants will train using different performance goals (based on different metrics) |
Experimental: Motion Group
The Motion Group, (n=20) will train in laparoscopic suturing until expert levels of motion (pathlength 6700 and smoothness 560) have been achieved.
|
Other: skills training
participants will train using different performance goals (based on different metrics) |
Experimental: Speed and Motion Group
The Speed and Motion Group (n=20) will train in laparoscopic suturing until expert levels of speed AND motion have been achieved.
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Other: skills training
participants will train using different performance goals (based on different metrics) |
- Laparoscopic suturing performance in the animal operating room [ Time Frame: end of training and retention test after 3 months ]
- inadvertent injuries in the animal OR [ Time Frame: end of training test and 3 month retention test ]
- training duration required by novices to reach proficiency in laparoscopic suturing based on speed, motion efficiency, or a combination of these metrics [ Time Frame: end of study (within one year) ]

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Ages Eligible for Study: | Child, Adult, Older Adult |
Sexes Eligible for Study: | All |
Accepts Healthy Volunteers: | Yes |
Inclusion Criteria:
- novices with no previous laparoscopic or simulation experience
- voluntary participation
Exclusion Criteria:
- expert in or familiarity with laparoscopy or simulation
- physical condition that prevents the performance of laparoscopic suturing

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01052168
United States, North Carolina | |
Carolinas Simulation Center | |
Charlotte, North Carolina, United States, 28205 |
Principal Investigator: | Dimitrios Stefanidis, MD, PhD | Carolinas Simulation Center |
Publications automatically indexed to this study by ClinicalTrials.gov Identifier (NCT Number):
Responsible Party: | Wake Forest University Health Sciences |
ClinicalTrials.gov Identifier: | NCT01052168 |
Other Study ID Numbers: |
11-06-20E |
First Posted: | January 20, 2010 Key Record Dates |
Last Update Posted: | April 27, 2022 |
Last Verified: | March 2013 |
simulation simulators motion metrics performance metrics |
skills training proficiency laparoscopic |