The Effectiveness of Bowel Preparation in Colonoscopy Patients Using Artificial Intelligence-assisted Nursing Education
1 other identifier
interventional
140
1 country
1
Brief Summary
Background: Colonoscopy is a critical diagnostic and screening tool for colorectal cancer, and its effectiveness largely depends on bowel preparation quality. Traditionally, bowel preparation education has been provided by nurses using written materials and verbal instructions. However, clinical workload pressures and staffing shortages frequently result in inadequate patient comprehension and poor adherence, negatively impacting bowel cleanliness, polyp or adenoma detection rates, examination quality, and overall medical efficiency. Recent advancements in artificial intelligence (AI) suggest potential improvements in patient education and adherence through AI-based interventions. Nevertheless, systematic studies assessing the effectiveness of AI smartphone applications (APPs) specifically tailored for bowel preparation education within local cultural and clinical contexts remain limited. Objective: This study aims to evaluate the effectiveness of an AI-integrated smartphone application designed for bowel preparation education before colonoscopy, focusing on patient cognition regarding bowel preparation, satisfaction with nursing education, and bowel cleanliness outcomes. Methods: A randomized controlled trial was conducted in the gastroenterology ward of a regional hospital in southern Taiwan. A total of 140 hospitalized patients scheduled for colonoscopy were enrolled and randomly assigned to either the experimental group (n=70) or the control group (n=70). The experimental group received multimodal education through an AI-based smartphone application, featuring visual and textual information, educational videos, and interactive chatbot dialogues. In contrast, the control group received conventional written and verbal nursing instructions. Demographic data were collected prior to colonoscopy. Post-examination evaluations included bowel cleanliness assessment (using the Aronchick Scale), nursing education satisfaction, and bowel preparation cognition questionnaires administered before and after the intervention. The overall effectiveness of the APP-based intervention was analyzed. Keywords: Artificial Intelligence, Bowel Preparation, Colonoscopy, Smartphone Application
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Aug 2025
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
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
August 4, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 30, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 30, 2025
CompletedFirst Submitted
Initial submission to the registry
August 21, 2026
CompletedFirst Posted
Study publicly available on registry
August 28, 2026
CompletedAugust 28, 2026
August 1, 2026
5 months
August 21, 2026
August 27, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Bowel Preparation Quality Assessed Using the Aronchick Scale
Bowel preparation quality will be assessed by the endoscopist using the Aronchick Scale at the time of colonoscopy. The scale classifies bowel preparation into five categories: Excellent, Good, Fair, Poor, and Inadequate. The outcome will be reported as the proportion of participants with adequate bowel preparation, defined as an Aronchick rating of Excellent or Good. Fair, Poor, and Inadequate will be classified as inadequate bowel preparation.
At the time of colonoscopy, following completion of bowel preparation
Secondary Outcomes (2)
Bowel Preparation Knowledge
At baseline before the educational intervention and immediately after completion of the educational intervention
Satisfaction With Nursing Education
Immediately after completion of the nursing education intervention
Study Arms (2)
The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assiste
EXPERIMENTALThe control group received traditional written and verbal education.
PLACEBO COMPARATORcontrol
Interventions
Background: Colonoscopy is a critical diagnostic and screening tool for colorectal cancer, and its effectiveness largely depends on bowel preparation quality. Traditionally, bowel preparation education has been provided by nurses using written materials and verbal instructions. However, clinical workload pressures and staffing shortages frequently result in inadequate patient comprehension and poor adherence, negatively impacting bowel cleanliness, polyp or adenoma detection rates, examination quality, and overall medical efficiency. Recent advancements in artificial intelligence (AI) suggest potential improvements in patient education and adherence through AI-based interventions. Nevertheless, systematic studies assessing the effectiveness of AI smartphone applications (APPs) specifically tailored for bowel preparation education within local cultural and clinical contexts remain limited. Objective: This study aims to evaluate the effectiveness of an AI-integrated smartphone applicatio
rountine care
Eligibility Criteria
You may qualify if:
- Hospitalized patients scheduled for colonoscopy who are aged 20 years or older. Able to read and write. Conscious and able to communicate in Mandarin Chinese. Own a smartphone and have basic skills in using the LINE application.
You may not qualify if:
- Patients with intestinal stricture, bowel obstruction, or obstruction caused by an intestinal tumor.
- Patients with moderate or severe active gastrointestinal bleeding (\>100 mL/day).
- 有一點特別注意
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Evian Linlead
Study Sites (1)
Chia-Yi Christian Hospital
Chiayi City, Chiayi City, 60002, Taiwan
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Head Nurse
Study Record Dates
First Submitted
August 21, 2026
First Posted
August 28, 2026
Study Start
August 4, 2025
Primary Completion
December 30, 2025
Study Completion
December 30, 2025
Last Updated
August 28, 2026
Record last verified: 2026-08