Computerized Feedback in Colonoscopy

April 23, 2021 updated by: Kristoffer Mazanti Cold, Copenhagen Academy for Medical Education and Simulation

Impact of Computerized Feedback During Colonoscopy on Adenoma Detection Rate of Colorectal Cancer and Patient Related Satisfaction: A Cluster-randomized Controlled Trial.

In a cluster-randomized study compare if feedback from two computerized feedback systems doing a colonoscopy (CoPS and CoRS) can improve the adenoma detection rate and decrease patient discomfort.

Study Overview

Detailed Description

Background:

Approximately 4,600 persons get colon cancer annually in Denmark and it is the second most common cause of cancer death. Survival is highly dependent on early detection through a colonoscopy. A thorough colonoscopy is essential to detect early cancers but unfortunately the quality of colonoscopies varies widely between operators. A study of 314,872 colonoscopies performed by 136 gastroenterologists found that the adenoma detection rate (ADR) ranged from 7 - 53% and was inversely associated with the risks of fatal interval cancer. The investigators have developed to tools that can generate automatic, computerized feedback in order to make a more thorough procedure and reduce patient discomfort, the Colonoscopy Progression Score (CoPS) and Colonoscopy Retraction Score (CoRS)

Objectives:

The investigators predict that live-feedback from CoPS and CoRS doing a colonoscopy can improve the ADR and subsequent prevent colorectal cancer. The aim of this project is to:

  1. In a cluster-randomized study compare if feedback from CoPS and CoRS can improve the adenoma detection rate and patient satisfaction for individual operators and the department as a whole.
  2. Make an immediate measure to assess the quality of individual colonoscopy performance.

Materials and methodology:

As a randomized controlled cluster trial following a stepped-wedge program, feedback doing a colonoscopy from these (CoPS and CoRS) will be tested compared to no feedback. Three test departments consisting of three University Hospital in the Capital region of Denmark will be included.

Study Type

Interventional

Enrollment (Anticipated)

3000

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Admitted for a screening colonoscopy through the Danish National Screening Program for Colorectal Cancer.

Exclusion Criteria: Incomplete procedure due to:

  • In cases were the cecum is not reached.
  • Unsatisfactory bowel preparation which results in admission for a new procedure

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Feedback
Feedback system through CoPS and CoRS
The Colonoscopy Progression Score consists of five different aspects: Travel length, Tip progression, chase efficiency, shaft movement without tip progression and looping.
The Colonoscopy Retraction Score consists of three different aspects: Tip Retraction, Retraction Efficiency, and Retraction Distance.
No Intervention: Standard procedure
Performing the standard procedure in accordance with the departments usual conduct.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Feedback from CoRS results in change in Adenoma Detection Rate for individual operators and for the department as a whole.
Time Frame: Baseline (pre-intervention) and with the end of each time cluster (month 8, 12, 16, 18). The intervention will be at different time clusters for the three participating hospitals, and therefore the baseline sampling period will be different.
The Adenoma Detection Rate of an operator is correlated to patient survival of colorectal cancer. A low Adenoma Detection Rate is correlated with a higher occurrence of interval cancer. Increasing the Adenoma Detection Rate will result in a more beneficial screening program with more cancers being caught in an earlier state and thereby increase patient survival.
Baseline (pre-intervention) and with the end of each time cluster (month 8, 12, 16, 18). The intervention will be at different time clusters for the three participating hospitals, and therefore the baseline sampling period will be different.
Feedback from CoPS results in change in patient discomfort.
Time Frame: Baseline (pre-intervention) and with the end of each time cluster (month 8, 12, 16, 18). The intervention will be at different time clusters for the three participating hospitals, and therefore the baseline sampling period will be different.
Patient discomfort will be assessed by a post-procedure questionnaire. We will examine the correlation between the intervention and patient discomfort, and assess if more procedures can be completed due to less patient discomfort using the intervention.
Baseline (pre-intervention) and with the end of each time cluster (month 8, 12, 16, 18). The intervention will be at different time clusters for the three participating hospitals, and therefore the baseline sampling period will be different.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Make an immediate measure to assess the quality of individual colonoscopy performance.
Time Frame: On data collection completion, estimated December 2023
To measure a reliable Adenoma detection rate, 500 procedures are needed. We will aim to make an immediate measure based on CoRS to assess the quality of each colonoscopy and investigate this measures correlation to the ADR in the intervention period.
On data collection completion, estimated December 2023

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

June 1, 2021

Primary Completion (Anticipated)

December 1, 2023

Study Completion (Anticipated)

December 1, 2023

Study Registration Dates

First Submitted

April 21, 2021

First Submitted That Met QC Criteria

April 23, 2021

First Posted (Actual)

April 28, 2021

Study Record Updates

Last Update Posted (Actual)

April 28, 2021

Last Update Submitted That Met QC Criteria

April 23, 2021

Last Verified

April 1, 2021

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

Yes

IPD Plan Description

all IPD that underlie results in a publication

IPD Sharing Time Frame

At end of data collection (December 2023) and for the following 5 years.

IPD Sharing Access Criteria

On request to the primary investigator with a useful scientific purpose.

IPD Sharing Supporting Information Type

  • Study Protocol
  • Statistical Analysis Plan (SAP)
  • Informed Consent Form (ICF)

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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