ZeroFall - Reliability Testing of Optical Sensor to Detect Bed Exit for Patients in Hospital

Sponsor
Philips Healthcare (Industry)
Overall Status
Terminated
CT.gov ID
NCT03901976
Collaborator
(none)
14
1
1
19.4
0.7

Study Details

Study Description

Brief Summary

Falls are one of the most common NHS adverse events. With an increasing number of frail elderly patients being admitted this risk is likely to increase. In order to be able to assist patients with bed exit in a timely manner monitoring might be of help. In ZeroFall we will test the reliability of monitoring devices to notify care givers if a patient is attempting to exit the bed.

Condition or Disease Intervention/Treatment Phase
  • Device: bed exit detection
N/A

Detailed Description

In ZeroFall we intend to observe patients on risk of fall with two different devices during their hospital stay: The information from a no-touch optical sensing device that analyses movement and an under the mattress sensor that has already been used in a previous study at Bangor. Both are compatible with an existing monitoring system by Philips Healthcare and CE marked.

Study Design

Study Type:
Interventional
Actual Enrollment :
14 participants
Allocation:
N/A
Intervention Model:
Sequential Assignment
Intervention Model Description:
The study has several distinct phases: Silent Phase: The devices run in the background, activity is blinded for clinicians, settings are optimized by the research team. Run-In Phase: Bed exit notifications are turned on, notifications will be configurable for acceptability by clinical teams. Data extraction and data evaluation will be tested. Phase I: Data collection of bed exit data of sensors as well as data related to falls Phase II: Data collection of bed exit data with optimization of predictive algorithms Phase III: Data collection for validation using predictive data for early notificationThe study has several distinct phases:Silent Phase: The devices run in the background, activity is blinded for clinicians, settings are optimized by the research team. Run-In Phase: Bed exit notifications are turned on, notifications will be configurable for acceptability by clinical teams. Data extraction and data evaluation will be tested. Phase I: Data collection of bed exit data of sensors as well as data related to falls Phase II: Data collection of bed exit data with optimization of predictive algorithms Phase III: Data collection for validation using predictive data for early notification
Masking:
None (Open Label)
Primary Purpose:
Prevention
Official Title:
ZeroFall - Reliability Testing of Optical Sensor to Detect Bed Exit for Patients in Hospital
Actual Study Start Date :
Mar 25, 2019
Actual Primary Completion Date :
Nov 5, 2020
Actual Study Completion Date :
Nov 5, 2020

Arms and Interventions

Arm Intervention/Treatment
Other: Bed Exit Detection On

prevention of fall by a true bed exit detection

Device: bed exit detection
bed exit detection to avoid patients fall

Outcome Measures

Primary Outcome Measures

  1. Number of true bed exit detections vs number of false bed exit detections [12-15 months]

    A reference device and two observers will classify if a bed exit was true

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:

Adult patients with risk of fall more than 24 hours on the ward

Exclusion Criteria:

Patients with predominantly palliative needs

Contacts and Locations

Locations

Site City State Country Postal Code
1 Ysbyty Gwynedd Bangor Wales United Kingdom LL57 2PW

Sponsors and Collaborators

  • Philips Healthcare

Investigators

  • Principal Investigator: Christian P Subbe, MD, Ysbyty Gwynedd Hospital

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Philips Healthcare
ClinicalTrials.gov Identifier:
NCT03901976
Other Study ID Numbers:
  • YGB-PH-CS-BD-2018-02-18
First Posted:
Apr 3, 2019
Last Update Posted:
Nov 20, 2020
Last Verified:
Nov 1, 2020
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Nov 20, 2020