Artificial Intelligence (AI) Technology May Help Patients to Understand Bowel Preparation Better Before They go for Colonoscopy.This Study Attempts to Leverage AI Chatbot in Counselling Patients to Improve Bowel Cleanliness, Reduce Anxiety as Well as Increase Procedural Satisfaction
Prospective Single Blinded Randomized Control Trial on the Effectiveness of Using Large Language Model Artificial Intelligence Chatbot to Improve Boston Bowel Preparation Score (BBPS) for Colonoscopy Preparation
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Nabil Mohammad Azmi, Doctor in General Surgery
- Phone Number: +60122177050
- Email: nabil@ukm.edu.my
Study Locations
-
-
Kuala Lumpur
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Cheras, Kuala Lumpur, Malaysia, 56000
- Faculty of Medicine, The National University of Malaysia
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Contact:
- Nabil Mohammad Azmi, Doctor of General Surgery
- Phone Number: +60122177050
- Email: nabil@ukm.edu.my
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- All scheduled colonoscopy with indication
- Adequate digital literacy
- Adequate language literacy with Malay and English language
Exclusion Criteria:
- Patients with memory impairment due to previous stroke, dementia or Alzheimer's disease
- Diagnosed with clinical anxiety
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Artificial Intelligence (AI) Chatbot
Patient's who will be interacting with AI chatbot for bowel preparation counselling
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Intervention arm will have to undergo bowel preparation using standard polyethylene glycol solution (Fortrans)
Intervention arm will have to undergo bowel preparation using standard polyethylene glycol solution (Fortrans)
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Other: Conventional counselling by healthcare workers
Patients receiving conventional way of counselling for bowel preparation before colonoscopy
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Intervention arm will have to undergo bowel preparation using standard polyethylene glycol solution (Fortrans)
Intervention arm will have to undergo bowel preparation using standard polyethylene glycol solution (Fortrans)
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
To determine the effectiveness of artificial intelligence (AI) chat bot in improving bowel preparation among colonoscopy patients in Hospital Tuanku Mukhriz (HCTM), compared to conventional instructions
Time Frame: 1 year
|
Patients in interventional arm will be receiving counselling via interaction with AI chatbot.Each interaction session were limited to 15 minutes maximum.
The quality of bowel preparation will be graded by the masked endoscopists using Boston Bowel Preparation Score (BBPS).
Each of the three colon segments (right, transverse and left) will be assigned scores (0 - 3) .
0 - unprepared colon while 3 indicates the best possible preparation.A total score will range from 0 to 9, where higher scores indicate better bowel preparation.
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1 year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
To determine the effectiveness of AI chat bot in relieving anxiety among colonoscopy patients in HCTM, compared to conventional instructions.
Time Frame: 1 year
|
Anxiety level for both arms will be measured before and after colonoscopy using the validated Depression Anxiety and Stress Scale 21 (Anxiety Scale).
Is a self-reporting scale that measure the the anxiety.DASS interpretation ;Normal 0-7, Mild 8-9, Moderate 10-14, Severe 15-19 and Extremely severe 20+
|
1 year
|
|
To determine the effectiveness of AI chat bot in improving satisfaction among colonoscopy patients in HCTM, compared to conventional instructions.
Time Frame: 1 year
|
Patients from both arms will be interviewed after colonoscopy using the validated Patient Satisfaction Questionnaire (PSQ).PSQ are a set of questionnaires that help researchers to understand patient experiences and identify areas of improvement.Patients will be evaluated on multiple domains- general satisfaction, technical quality, interpersonal aspect, clarity of communication,access to care and confidence in healthcare provider.
Each domain will be given scores according to the Likert scale ranging from 1 to 5. 1 means very dissatisfied while 5 means very satisfied.
|
1 year
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Nabil Mohammad Azmi, Doctor of General Surgery, Faculty of Medicine, The National University of Malaysia
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
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
Additional Relevant MeSH Terms
- Neoplasms by Site
- Neoplasms
- Pathological Conditions, Anatomical
- Intestinal Diseases
- Neoplasms by Histologic Type
- Gastrointestinal Neoplasms
- Digestive System Neoplasms
- Digestive System Diseases
- Gastrointestinal Diseases
- Intestinal Neoplasms
- Rectal Diseases
- Neoplasms, Glandular and Epithelial
- Colonic Diseases
- Polyps
- Intestinal Polyps
- Colorectal Neoplasms
- Adenoma
- Colonic Polyps
Other Study ID Numbers
Other Study ID Numbers
- JEP-2025-035
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- ICF
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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