Actively Recruiting

Phase Not Applicable
Age: 20Years +
FEMALE
ID06613503

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

Led by China Medical University Hospital · Updated on 2024-09-26

60

Participants Needed

1

Research Sites

N/A

Total Duration

On this page

AI-Summary

What this Trial Is About

Researchers are evaluating the effectiveness of the AI Supporter, an intelligent robot designed to manage excretion for incontinent patients. This study focuses on female patients who have been bedridden for more than three months and have urinary and/or fecal incontinence. The goal is to determine if using this AI-driven device can reduce the rates of urinary tract infections and incontinence-associated dermatitis while also exploring cost savings and caregiver burden reduction. The AI Supporter uses artificial intelligence-based vision recognition to detect urine and feces autonomously, then cleanses, dries, and changes the diaper without the need for caregiver intervention. Participants are randomly assigned to either the AI Supporter group or the traditional diaper care group. The intervention lasts for 14 days during which participants intermittently use the AI Supporter. Data such as excretion timing, frequency, and weight are recorded for analysis. During the study, participants will undergo routine urine analysis and assessments of incontinence-associated dermatitis, pressure sores, and skin pH. Researchers will also track caregiver hours and costs related to both diapers and the AI Supporter device. The primary outcomes measured are white blood cell count and bacterial count in urine 14 days after intervention. The study is conducted under single masking and uses statistical methods to evaluate outcomes with significance set at p < 0.05.

CONDITIONS

Brief Title

Effectiveness of the AI-Supporter in Reducing Urinary Tract Infections

Who Can Participate

Age: 20Years +
FEMALE

Eligibility Criteria

Eligible

You may qualify if you...

  • Female participants aged over 20 years old
  • Participants bedridden for at least 3 months
  • Participants with urinary and/or fecal incontinence
  • Participants able to wear the AI-supporter device during the study period
Not Eligible

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 enrollment
  • Participants unable to provide informed consent or without a legal representative to do so

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

Implementation

Duration - 14 days

Participants use the AI-supporter device which autonomously detects and cleanses affected areas to reduce urinary tract infections and incontinence-associated dermatitis.

Intermittent use over 14 days

Trial Site Locations

Total: 1 location

1

Rom A Master List, Extracted From This Organization'S Records.

Taichung, Taiwan

Actively Recruiting

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Research Team

K

Kwo-Chen Lee, ph.D

J

Jing-ya Fu

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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Frequently Asked Questions

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Published Research Related To This Trial

Management of night-time urinary incontinence in residential settings for older people: an investigation into the effects of different pad changing regimes on skin health.

Mandy Fader, Sinead Clarke-O'Neill, Dawn Cook...

https://pubmed.ncbi.nlm.nih.gov/12709112

Disposable Versus Reusable Absorbent Underpads for Prevention of Hospital-Acquired Incontinence-Associated Dermatitis and Pressure Injuries.

Kathleen Francis, Sau Man Pang, Brenda Cohen...

https://pubmed.ncbi.nlm.nih.gov/28549048

Associations between skin barrier characteristics, skin conditions and health of aged nursing home residents: a multi-center prevalence and correlational study.

Elisabeth Hahnel, Ulrike Blume-Peytavi, Carina Trojahn...

https://pubmed.ncbi.nlm.nih.gov/29132305

Examining Prevalence and Risk Factors of Incontinence-Associated Dermatitis Using the International Pressure Ulcer Prevalence Survey.

Susan A Kayser, LeeAnn Phipps, Catherine A VanGilder...

https://pubmed.ncbi.nlm.nih.gov/31276451

Aging enhances maceration-induced ultrastructural alteration of the epidermis and impairment of skin barrier function.

Takeo Minematsu, Yuko Yamamoto, Takashi Nagase...

https://pubmed.ncbi.nlm.nih.gov/21498052