NCT06613503

Effectiveness of the AI-Supporter in Reducing Urinary Tract Infections

Testing the Effectiveness of the AI-Supporter in Reducing Urinary Tract Infections, Incontinence-associated Dermatitis and Caregiving Costs for Incontinence Patients

• Status: Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 60 (estimated)
• Sponsor: China Medical University Hospital · Academic / Other
• Sex: Female
• Age: 20 Years
• Healthy volunteers: Not accepted

Summary

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.

Detailed description

Background: As Taiwan progresses medically, the aging demographic has become a significant challenge, leading to an escalation in the disabled population. The lack of caregiving manpower represents a critical bottleneck in the provision of long-term care. Diaper changing, a daily and labor-intensive task for caregivers, involves bending motions that pose a risk of musculoskeletal injuries. Consequently, the imperative development of automated caregiving technologies has emerged. 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. Objective: 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. Methods: Adopting an experimental (two groups) and longitudinal design, this research utilizes both convenience and random sampling strategies. Scheduled from November 2024 to October 2025 at a residential long-term care facility in Central Taiwan, 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, incontinence-associated dermatitis rating scales, pressure sore assessments, skin pH measurements, caregiver hours, and cost analyses pertaining to diapers and the AI Supporter. The principal analytical method employed will be Generalized Estimating Equations (GEE), with statistical significance defined at p \< 0.05. Expected Outcomes: The AI Supporter is expected to significantly reduce the occurrence of urinary tract infections and incontinance-associated dermatitis in patients, concurrently alleviating caregiver workload and diminishing associated costs.

Conditions

• Incontinence
• Urinary Tract Infection
• Incontinence-associated Dermatitis
• Cost-effectiveness

Interventions

Type	Name	Description
DEVICE	AI-supporter	rticipants in the experimental group will use the AI-supporter, an intelligent excretion management robot. This device utilizes AI-driven visual recognition technology to automatically detect urine and feces, followed by a cleaning and drying process. When the AI-supporter detects excretion, it activates an automated sequence that washes, dries, and sanitizes the perineal area without requiring the caregiver to remove the diaper. The AI-supporter also records relevant data, such as the time, frequency, and weight of excretion, for further analysis. This intervention is designed to reduce the incidence of urinary tract infections (UTIs) and incontinence-associated dermatitis (IAD), as well as lessen the workload for caregivers

Timeline

• Start date: 2024-07-22
• Primary completion: 2025-10-31
• Completion: 2025-10-31
• First posted: 2024-09-26
• Last updated: 2024-09-26

Locations

1 site across 1 country: Taiwan