Effectiveness of the AI-Supporter in Reducing Urinary Tract Infections
Trial Parameters
Brief 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.
Eligibility Criteria
Inclusion Criteria: * Participants must have been bedridden for at least 3 months and have urinary and/or fecal incontinence. * Female participants aged over 20 years old. * Participants must be capable of wearing the AI-supporter device during the study period. Exclusion Criteria: * 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.