Simulation-based Arthroscopic Surgery Study
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Oxfordshire
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Oxford, Oxfordshire, United Kingdom, OX3 7LD
- Nuffield Orthopaedic Centre
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Participant is willing and able to give informed consent for participation in the study.
- Healthy adults, Male or Female, aged 18 years or above.
- Enrolled in Health Education Thames Valley/Oxford Deanery Training Programme in junior surgical training posts
Exclusion Criteria:
- Unwilling or unable to provide informed consent
- Previously completed higher surgical training programme
Study Plan
How is the study designed?
Design Details
- Primary Purpose: OTHER
- Allocation: RANDOMIZED
- Interventional Model: PARALLEL
- Masking: SINGLE
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
EXPERIMENTAL: Simulation training
Addition of simulation training during usual clinical training as part of a GMC (General Medical Council) recognised Deanery training programme
|
Simulation training in a skills lab for 1 hour per week over 13 weeks on dry, bench-top box trainers and anatomical simulators
|
|
NO_INTERVENTION: Non-simulation/Routine training
Usual clinical training as part of a GMC (General Medical Council) recognised Deanery training programme
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of Hand Movements Required by Participants to Perform a Diagnostic Arthroscopy of the Knee in Theatre
Time Frame: 3 months
|
Wireless elbow-mounted accelerometer and gyroscopic sensors worn by the participant will generate 6 degree of freedom motion data (three rotational degrees around the x, y and z axes, known as 'roll', 'pitch', and 'yaw', and three translational degrees of freedom along x, y and z axes, known as 'surge', 'sway' and 'heave') which will be analysed using validated, bespoke algorithms to calculate the number of hand movements taken whilst performing a diagnostic knee arthroscopy according to a standardised protocol.
|
3 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Smoothness of Hand Movements by Participants to Perform a Diagnostic Arthroscopy of the Knee in Theatre
Time Frame: 3 months
|
Wireless elbow-mounted accelerometer and gyroscopic sensors worn by the participant will generate 6 degree of freedom motion data which will be analysed using validated, bespoke algorithms to calculate the smoothness (also known as 'jerk', the first derivative of acceleration by time, or third derivative of distance by time) of hand movements taken whilst performing a diagnostic knee arthroscopy according to a standardised protocol according to a standardised protocol.
|
3 months
|
|
Time Taken by Participants to Perform a Diagnostic Arthroscopy of the Knee in Theatre
Time Frame: 3 months
|
Wireless elbow-mounted accelerometer and gyroscopic sensors worn by the participant will generate 6 degree of freedom motion data which will be analysed using validated, bespoke algorithms.
These data will also collect time signatures, which can be used to work out the time taken by participants to perform a diagnostic arthroscopy of the knee in theatre according to a standardised protocol.
|
3 months
|
|
Minor Hand Movements Required by Participants to Perform a Diagnostic Arthroscopy of the Knee in Theatre
Time Frame: 3 months
|
Wireless elbow-mounted accelerometer and gyroscopic sensors worn by the participant will generate 6 degree of freedom motion data (three rotational degrees around the x, y and z axes, known as 'roll', 'pitch', and 'yaw', and three translational degrees of freedom along x, y and z axes, known as 'surge', 'sway' and 'heave') which will be analysed using validated, bespoke algorithms to calculate the number of movements (below the threshold for 'hand movements' above in outcome 1, but above the data noise threshold) taken whilst performing a diagnostic knee arthroscopy according to a standardised protocol.
|
3 months
|
|
Stationary Time of Participants to Perform a Diagnostic Arthroscopy of the Knee in Theatre
Time Frame: 3 months
|
Wireless elbow-mounted accelerometer and gyroscopic sensors worn by the participant will generate 6 degree of freedom motion data which will be analysed using validated, bespoke algorithms.
These data will also collect time signatures, which can be used to work out the length of time during the procedure where each hand is stationary while participants perform a diagnostic arthroscopy of the knee in theatre according to a standardised protocol.
|
3 months
|
|
Idle Time of Participants to Perform a Diagnostic Arthroscopy of the Knee in Theatre
Time Frame: 3 months
|
Wireless elbow-mounted accelerometer and gyroscopic sensors worn by the participant will generate 6 degree of freedom motion data which will be analysed using validated, bespoke algorithms.
These data will also collect time signatures, which can be used to work out the length of time during the procedure where both hands are stationary at the same time while participants perform a diagnostic arthroscopy of the knee in theatre according to a standardised protocol.
|
3 months
|
|
Dominance of Participants to Perform a Diagnostic Arthroscopy of the Knee in Theatre
Time Frame: 3 months
|
Wireless elbow-mounted accelerometer and gyroscopic sensors worn by the participant will generate 6 degree of freedom motion data which will be analysed using validated, bespoke algorithms.
These data will be analysed for the relative activity and dominance of each hand during the procedure while participants perform a diagnostic arthroscopy of the knee in theatre according to a standardised protocol.
|
3 months
|
|
Global Rating Scale Performance During Diagnostic Knee Arthroscopy in Theatre
Time Frame: 3 months
|
Validated global rating scale for assessing diagnostic knee arthroscopy performance
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3 months
|
|
Deviation From 'Idealised' Motion Parameters for Participants to Perform a Diagnostic Arthroscopy of the Knee in Theatre
Time Frame: 3 months
|
Previously described motion parameters of participants performing a diagnostic knee arthroscopy in theatre (see Primary outcome 1, and secondary outcomes 2-8) reported as a ratio to the 'ideal' performance as measured from the supervising clinician performing an optimal diagnostic knee arthroscopy on the same patient as the participant while wearing the wireless elbow-mounted accelerometer and gyroscopic sensors which will record 6 degree of freedom motion data to allow calculation of 'number of hand movements', 'smoothness', 'time taken', 'minor hand movements', 'stationary time', 'idle time' and dominance'
|
3 months
|
|
Motion Analysis Parameters During Simulation
Time Frame: 3 months
|
Change in participant performance on dry, bench top box trainers and anatomical simulators between baseline and 3 months using motion analysis parameters described in Primary outcome 1 and secondary outcomes 2-8 as measured by wireless elbow-mounted accelerometer and gyroscopic sensors
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3 months
|
|
Resting State Network Functional Changes on fMRI (Functional Magnetic Resonance Imaging)
Time Frame: 3 months
|
Use of MELODIC (Multivariate Exploratory Linear Optimized Decomposition into Independent Components) to identify resting state networks, and analyse differences in functional connectivity at baseline and three months between the intervention and control arms.
|
3 months
|
|
Voxel Based Morphometry Structural Changes on fMRI (Functional Magnetic Resonance Imaging)
Time Frame: 3 months
|
Using FSLVBM (fMRIB's Software Library Voxel Based Morphometry) to calculate voxel-wise changes in grey matter volumes at baseline and three months between the intervention and control arms.
Changes in VBM imply changes in grey matter volume and represent structural brain change.
|
3 months
|
|
Diffusion Tractography Structural Changes on fMRI (Functional Magnetic Resonance Imaging)
Time Frame: 3 months
|
Using FDT (fMRIB's Diffusion Toolbox) to model local diffusion and changes in tractography at baseline and three months between the intervention and control arms.
Changes in diffusion imply micro-structural (axonal) connectivity and represent structural brain change.
|
3 months
|
|
Quantitative Magnetisation Transfer Structural Changes on fMRI (Functional Magnetic Resonance Imaging)
Time Frame: 3 months
|
Quantitative magnetisation transfer imaging estimates liquid and semisolid (macromolecular) constituents of tissue at baseline and three months between the intervention and control arms.
Changes in macromolecular content imply micro-structural (myelin) connectivity and represent structural brain change.
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3 months
|
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Feasibility of Additional Simulation Training
Time Frame: 3 months
|
Qualitative survey of participants opinions of the addition of simulation to their usual clinical training programme
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3 months
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Jonathan L Rees, FRCS-Tr&Orth, University of Oxford
Publications and helpful links
Helpful Links
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (ACTUAL)
Primary Completion
Study Completion (ACTUAL)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ESTIMATE)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
Other Study ID Numbers
- MSD-IDREC-C1-2014-152
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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