MedTrace Logo

Efficacy of Bed Mattress Sensor for Detecting Pre-fall Activities and Preventing Bedside Falls in Elderly in Residential Setting

NCT05490368 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 26

Last updated 2023-03-06

No results posted yet for this study

Summary

The study has 1 primary research question and 5 auxiliary research questions regarding the use of bed mattress sensor for detecting pre-fall activities in elderly residents in old-age home setting:

Primary research question:

1. Can bedside fall incidents per 1000 bed-days be reduced comparing the 6 months before and after the installation of the bed mattress sensor system, and compared to control group?

Auxiliary research questions:
2. Can the length of fall-related hospital stay shortens comparing the 6 months before and after the installation of the system and compared to control group?
3. What are the differences in fall characteristics comparing the 6 months before and after the installation of the system and compared to control group?
4. What is the number of different types of alerts and average time to turn off the alerts of the system (proxy measure of response time of the care staff), and how are they different to bed-exit alarm system?
5. What are the immediate care delivery of the staff upon the alert of the system, and how are they different to bed-exit alarm system?
6. What are the views and comments from the operation staff, residents and/or their family members on the usage of the bed mattress sensor?

Conditions

  • Technology

Interventions

DEVICE

Bed mattress sensor system

The new sensor pad can detect any bed-exit activities, including stirring, sitting up, leaving, and out-of-bed. Audible message and alert to care staff can be customised in each participant. Whenever the system detects a change of bed-exit activity, an audible message will be played in the control box next to the resident's bed reminding the resident not to leave and that a care staff shall arrive shortly. Care staff at the nurse station will simultaneously receive the alert, as a sound and a visual figure on the dashboard, with the location and body position of the resident, and be prompted for a rapid and appropriate response. Care staff are allowed to customise each resident's alert settings, including time to alert and notification method.

Sponsors & Collaborators

  • Haven of Hope Hospital

    collaborator OTHER

  • The Social Innovation and Entrepreneurship Development Fund, Hong Kong

    collaborator OTHER

  • The University of Hong Kong

    lead OTHER

Principal Investigators

  • Yee Tak Cheung, PhD · The University of Hong Kong

Study Design

Allocation
NON_RANDOMIZED
Purpose
PREVENTION
Masking
SINGLE
Model
PARALLEL

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-08-16
Primary Completion
2023-02-15
Completion
2023-02-28

Countries

  • Hong Kong

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05490368 on ClinicalTrials.gov