Digital Intelligent Assistant for Nursing Application

NCT04393272 | Unknown

• 1 other identifier: BASEC 20-00904
• Study Type: observational
• Target: 25
• Locations: 1 country
• Sites: 1

Brief Summary

This is an observational study that intends to compare falls or fall-risk related alarms derived from a three-dimensional sensor system with the clinical reality definded by attending nurses.

Conditions

Frailty Syndrome; Fall in Nursing Home; Dementia; Delirium in Old Age; Incontinence, Urinary; Incontinence Bowel

Keywords

3D sensors; falls detection; toileting algorithm

Outcome Measures

Primary Outcomes (1)

• Falls detection rate

  Number of falls detected by the system compared to falls detected by nursing staff members

  Through study completion, an average of 6 months

Other Outcomes (1)

• Assessment of toileting

  Through study completion, an average of 6 months

Interventions

Three dimensional sensor system designed for fall detection (Fearless) DEVICE

Detection of falls in nursing home residents and acute geriatric hospital patiients

Eligibility Criteria

• Age: 75 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Due to the observationa design, we will have no control group. All persons admitted to the rooms equipped with this novel technology are asked to participate.

You may qualify if:

• with or without cognitive decline for any reason
• with acute and/or chronic conditions
• after any kind of surgery

You may not qualify if:

• For Falls assessment by 3D sensors:
• For the development of toileting algorithm:
• severe urine or fecal incontinence
• permanent indwelling urinary catheter
• permanent urinary or bowel stoma

Sponsors & Collaborators

• Geriatrische Klinik St. Gallen: lead

Study Sites (1)

Geriatrische Klinik

Sankt Gallen, Canton of St. Gallen, 9000, Switzerland

RECRUITING

MeSH Terms

Conditions

Frailty; Dementia; Urinary Incontinence; Encopresis

Condition Hierarchy (Ancestors)

Pathologic Processes; Pathological Conditions, Signs and Symptoms; Brain Diseases; Central Nervous System Diseases; Nervous System Diseases; Neurocognitive Disorders; Mental Disorders; Urination Disorders; Urologic Diseases; Female Urogenital Diseases; Female Urogenital Diseases and Pregnancy Complications; Urogenital Diseases; Male Urogenital Diseases; Lower Urinary Tract Symptoms; Urological Manifestations; Signs and Symptoms; Signs and Symptoms, Digestive; Behavioral Symptoms; Behavior; Elimination Disorders

Central Study Contacts

Thomas Münzer, MD

CONTACT

+41712438880; thomas.muenzer@geriatrie-sg.ch

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Chief of Geriatrics

Study Record Dates

• First Submitted: May 11, 2020
• First Posted: May 19, 2020
• Study Start: May 1, 2021
• Primary Completion: April 30, 2023
• Study Completion: July 31, 2023
• Last Updated: August 25, 2022

Record last verified: 2022-08

Data Sharing

• IPD Sharing: Will not share

Locations

CH (1)