Actively Recruiting
Effectiveness of the AI-Supporter in Reducing Urinary Tract Infections
Led by China Medical University Hospital · Updated on 2024-09-26
60
Participants Needed
1
Research Sites
66 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The "AI Supporter," an intelligent excretion management robot, leverages artificial intelligence-based vision recognition to autonomously detect and cleanse affected areas, followed by drying and changing the diaper, thereby reducing caregiver strain and enhancing care quality. This study aims to assess the efficacy of the "AI Supporter" in decreasing the incidence of urinary tract infections and incontinence-associated dermatitis among incontinent patients, in addition to exploring its cost-effectiveness. Adopting an experimental (two groups) and longitudinal design, this research utilizes both convenience and random sampling strategies. The study anticipates recruiting 60 female subjects who have been confined to bed for more than three months with urinary and/or fecal incontinence. Participants will intermittently use the AI Supporter over a 14-day period. Measurement tools include routine urine analysis.
CONDITIONS
Official Title
Effectiveness of the AI-Supporter in Reducing Urinary Tract Infections
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Female participants aged over 20 years old
- Participants must have been bedridden for at least 3 months and have urinary and/or fecal incontinence
- Participants must be capable of wearing the AI-supporter device during the study period
You will not qualify if you...
- Participants with severe skin conditions unrelated to incontinence
- Participants with current urinary tract infections or incontinence-associated dermatitis at the time of enrollment
- Participants who are unable to provide informed consent or have a legal representative to do so
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Rom A Master List, Extracted From This Organization'S Records.
Taichung, Taiwan
Actively Recruiting
Research Team
K
Kwo-Chen Lee, ph.D
CONTACT
J
Jing-ya Fu
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
SINGLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
HEALTH_SERVICES_RESEARCH
Number of Arms
2
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