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Establishing Learning Curves in Virtual Simulation Training of Mastoidectomy

Establishing Learning Curves in Virtual Simulation Training of Mastoidectomy

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01966185
Enrollment
43
Registered
2013-10-21
Start date
2013-10-31
Completion date
2014-11-30
Last updated
2015-05-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Clinical Skills, Motor Skills, Students, Temporal Bone, User-Computer Interface

Keywords

virtual simulation, temporal bone, surgical training, medical education, self-directed learning, final product assessment, cognitive load, reaction time, skills training, simulator metrics

Brief summary

The purpose of this study is to establish learning curves of mastoidectomy training in virtual surgical simulation training, to establish the long-term effect of repeat simulation training and to explore the transfer of skills, the roles of an integrated tutor function, self-directed learning and cognitive load.

Detailed description

Repeat surgical simulation training is known to provide better learning and long-term transfer. The learning curves for the mastoidectomy procedure have not been intensively studied. The only study conducted on learning curves in mastoidectomy to date found a plateau in performance for 4 medical students after about 4 mastoidectomy procedures on separate occasions. The participants were however assessed using an unvalidated, unestablished simulator integrated overall performance score. There is therefore a need for establishing learning curves and plateau using established objective assessment scales, which could have implications for future studies and on a larger scale for the future organization of temporal bone dissection courses. The long-term effect on learning of deliberate repeat simulator training of the mastoidectomy procedure has not previously been studied. The role of cognitive load in learning complex surgical technical skills in simulation has not been studied in great detail. The relationship between time and progress/performance assessment using Final Product Analysis (FPA) has not been studied. We have previously suggested that a tutor-function with volumetric approach with green lighting of the procedural steps could have an effect on performance. The effect of the tutor function could however not be isolated.

Interventions

OTHERTutor function on

The simulator-integrated tutor function with volumetric green lighting of the intended volume to be drilled.

Sponsors

Rigshospitalet, Denmark
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* medical students * informed written consent

Exclusion criteria

* prior training on the Visible Ear Simulator

Design outcomes

Primary

MeasureTime frameDescription
Change in Final Product Assessment Score4 monthsMastoidectomy final product assessment score using a modified Welling Scale for performance assessment.

Secondary

MeasureTime frameDescription
Change in simulator metrics4 monthsIntegrated simulator metrics on volume drilled (inside+outside target volumes), collisions with vital structures in simulation, time.
Change in reaction time4 monthsReaction time to a visual cue (in ms)

Other

MeasureTime frameDescription
Background dataAt recruitmentBackground data from a questionnaire including questions on demographics, prior simulation training and experience and interests in computers and IT

Countries

Denmark

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026