ZeroFall - Reliability Testing of Optical Sensor to Detect Bed Exit for Patients in Hospital
NCT ID: NCT03901976
Last Updated: 2020-11-20
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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TERMINATED
NA
14 participants
INTERVENTIONAL
2019-03-25
2020-11-05
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SEQUENTIAL
* 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
PREVENTION
NONE
Study Groups
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Bed Exit Detection On
prevention of fall by a true bed exit detection
bed exit detection
bed exit detection to avoid patients fall
Interventions
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bed exit detection
bed exit detection to avoid patients fall
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Philips Healthcare
INDUSTRY
Responsible Party
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Principal Investigators
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Christian P Subbe, MD
Role: PRINCIPAL_INVESTIGATOR
Ysbyty Gwynedd Hospital
Locations
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Ysbyty Gwynedd
Bangor, Wales, United Kingdom
Countries
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Other Identifiers
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YGB-PH-CS-BD-2018-02-18
Identifier Type: -
Identifier Source: org_study_id