Quality Improvement Intervention in Colonoscopy Using Artificial Intelligence
1 other identifier
interventional
676
1 country
1
Brief Summary
Quality measures in colonoscopy are important guides for improving the quality of patient care. But quality improvement intervention is not taking place, primarily because of the inconvenience and expense. To address the difficulties above, we used artificial intelligence for quality control of colonoscopy.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Oct 2018
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 16, 2018
CompletedFirst Posted
Study publicly available on registry
August 9, 2018
CompletedStudy Start
First participant enrolled
October 20, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 31, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
May 31, 2019
CompletedFebruary 12, 2020
February 1, 2020
7 months
July 16, 2018
February 10, 2020
Conditions
Outcome Measures
Primary Outcomes (1)
Adenoma detection rate
Adenoma detection rate was defined as the number of exams with findings of adenoma divided by the total number of exams.
8 months
Study Arms (2)
Colonoscopists who received quality intervention
EXPERIMENTALColonoscopists who did not received quality intervention
NO INTERVENTIONInterventions
Colonoscopists received performance measure monitoring and feedback
Eligibility Criteria
You may qualify if:
- aged between 18 and 80;
- agree to give written informed consent.
You may not qualify if:
- patients with the contraindications to colonoscopy examination;
- patients with a history of inflammatory bowel disease (IBD), CRC, colorectal surgery;
- patients with prior failed colonoscopy and high suspicion of polyposis syndromes, IBD and typical advanced CRC;
- patients refused to participate in the trial;
- the colonoscopyprocedure cannot be completed due to stenosis, obstruction, huge occupying lesions, or solid stool;
- the colonoscopy procedure have to be terminated due to complications of anaesthesia.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Department of Gastroenterology, Qilu Hospital, Shandong University
Jinan, Shandong, 250012, China
Related Publications (1)
Su JR, Li Z, Shao XJ, Ji CR, Ji R, Zhou RC, Li GC, Liu GQ, He YS, Zuo XL, Li YQ. Impact of a real-time automatic quality control system on colorectal polyp and adenoma detection: a prospective randomized controlled study (with videos). Gastrointest Endosc. 2020 Feb;91(2):415-424.e4. doi: 10.1016/j.gie.2019.08.026. Epub 2019 Aug 24.
PMID: 31454493DERIVED
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, OUTCOMES ASSESSOR
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Vice president of QiLu Hospital
Study Record Dates
First Submitted
July 16, 2018
First Posted
August 9, 2018
Study Start
October 20, 2018
Primary Completion
May 31, 2019
Study Completion
May 31, 2019
Last Updated
February 12, 2020
Record last verified: 2020-02