Back to resultsAssessment of Competence in Colonoscopy Using Motion Capture
Primary Purpose
Sensitivity Training Groups
Status
Completed
Phase
Locations
Denmark
Study Type
Observational
Intervention
Sponsored by
About this trial
This is an observational trial for Sensitivity Training Groups focused on measuring simulation, training, colonoscopy, standard setting
Eligibility Criteria
Inclusion Criteria: none experience in colonoscopy or experience more than 350 colonoscopy procedures -
Exclusion Criteria: none
-
Sites / Locations
- CEKU, Centre of Clinical education
Arms of the Study
Arm 1
Arm 2
Arm Type
Arm Label
novices
experienced endoscopist
Arm Description
novice endoscopists, fellows of gastroenterology
consultant doctors of gastroenterology
Outcomes
Primary Outcome Measures
to identify metrics of importans in colonoscopy training program
testing colonoscopy competence in a simulation lab. Finding metrics with discriminatory ability.
Secondary Outcome Measures
Full Information
NCT ID
NCT01997177
First Posted
November 22, 2013
Last Updated
November 22, 2013
Sponsor
Rigshospitalet, Denmark
1. Study Identification
Unique Protocol Identification Number
NCT01997177
Brief Title
Assessment of Competence in Colonoscopy Using Motion Capture
Official Title
Assessment of Competence in Colonoscopy Using Motion Capture
Study Type
Observational
2. Study Status
Record Verification Date
November 2013
Overall Recruitment Status
Completed
Study Start Date
March 2013 (undefined)
Primary Completion Date
November 2013 (Actual)
Study Completion Date
November 2013 (Actual)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
Rigshospitalet, Denmark
4. Oversight
Data Monitoring Committee
Yes
5. Study Description
Brief Summary
Aim: To study the basic technical skills of colonoscopy using a MS Kinect for motion analysis. In order to develop a non-biased tool to monitor competence.
Detailed Description
To compare a group of novices to a group of experienced endoscopists performining colonoscopy.
Analyzing the motion pattern of the performers using a Kinect. Use the contrasting group method to set standards.
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Sensitivity Training Groups
Keywords
simulation, training, colonoscopy, standard setting
7. Study Design
Enrollment
21 (Actual)
8. Arms, Groups, and Interventions
Arm Title
novices
Arm Description
novice endoscopists, fellows of gastroenterology
Arm Title
experienced endoscopist
Arm Description
consultant doctors of gastroenterology
Primary Outcome Measure Information:
Title
to identify metrics of importans in colonoscopy training program
Description
testing colonoscopy competence in a simulation lab. Finding metrics with discriminatory ability.
Time Frame
3 months
10. Eligibility
Sex
All
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
70 Years
Accepts Healthy Volunteers
Accepts Healthy Volunteers
Eligibility Criteria
Inclusion Criteria: none experience in colonoscopy or experience more than 350 colonoscopy procedures -
Exclusion Criteria: none
-
Study Population Description
Doctors in gastroenterology
Sampling Method
Non-Probability Sample
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Louise Preisler, MD
Organizational Affiliation
CEKU, Centre of clinical education, University of Copenhagen
Official's Role
Principal Investigator
Facility Information:
Facility Name
CEKU, Centre of Clinical education
City
Copenhagen
ZIP/Postal Code
2100
Country
Denmark
12. IPD Sharing Statement
Citations:
PubMed Identifier
27995182
Citation
Preisler L, Sondergaard Svendsen MB, Sondergaard B, Brink L, Nordentoft T, Svendsen LB, Konge L. Automatic and unbiased assessment of competence in colonoscopy: exploring validity of the Colonoscopy Progression Score (CoPS). Endosc Int Open. 2016 Dec;4(12):E1238-E1243. doi: 10.1055/s-0042-118226. Epub 2016 Nov 17.
Results Reference
derived
Learn more about this trial
Assessment of Competence in Colonoscopy Using Motion Capture
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