Bowel preparation quality Digestive System
Conditions
Interventions
Type of Study
This is a prospective exploratory observational cohort study aimed at collecting multimodal data from patients scheduled for colonoscopy, in order to develop machine learning models for
Sponsors
University College London Hospitals NHS Foundation Trust
Eligibility
Sex/Gender
All
Age
18 Years to 100 Years
Inclusion criteria
Inclusion criteria: 1. Aged 18 years or older 2. Able to give informed consent 3. Access to a smartphone and willing to capture and upload stool images 4. Scheduled for an outpatient or inpatient colonoscopy at UCLH
Exclusion criteria
Exclusion criteria: 1. Failure to provide informed consent 2. Unwilling or unable to use a smartphone for stool image capture and upload 3. Aged under 18 years
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The adequacy of bowel preparation observed at colonoscopy, as assessed by the Boston Bowel Preparation Scale (BBPS) | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. BBPS scores predicted using machine learning models and compared to clinician-assigned BBPS scores obtained from colonoscopy 2. Colonoscopy procedure duration predicted using machine learning models and compared to observed colonoscopy procedure time 3. Colonoscopy rescheduling due to inadequate bowel preparation predicted using machine learning models and compared to rescheduling data captured in electronic health records following the colonoscopy 4. Feasibility of data collection assessed by the proportion of participants who successfully submit stool images and metadata using smartphones during the 1–2 days prior to colonoscopy | — |
Countries
England, United Kingdom
Contacts
Public ContactJulian Gertner
Outcome results
None listed