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Sensable®Care System: Establishing a Communications System for Patient Fall Reduction

A Phase One Feasibility Study of the Sensable®Care System: Establishing a Communications System for Patient Fall Reduction

Status
Completed
Phases
Early Phase 1
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03876496
Enrollment
71
Registered
2019-03-15
Start date
2017-09-24
Completion date
2017-12-07
Last updated
2019-03-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Fall From Bed

Keywords

fall prevention, bed fall, acute care, patient safety, patient monitoring, health technology assessment, sensor devices and platforms, nursing

Brief summary

The purpose of this study is to test the effectiveness, safety and side effects of Sensable®Care System for inpatients. The Sensable®Care System uses pressure sensors and computer software to sense how patients are positioned on the bed in order to reduce bed falls. The Sensable®Care System Mattress has sensors embedded in them, which will be monitored by the nurses in your unit. This study has three specific aims: 1. To assess the comfort of the system when used with hospitalized patients; 2. To observe how the system can be integrated into nurses' and hospital staff's regular workflow to help to modify and improve the system. 3. To analyze data from nursing response to alerts generated from hospitalized patients to improve alert system performance.

Interventions

The Sensable®Care Mattress has sensors embedded in it. Sensable®Care System is able to identify if the subject is stirring in bed, sitting up from the bed, attempting to leave the bed, or being out of the bed. If the subject is found to be in any of these four scenarios, four different types of alerts/notifications will warn clinicians: Stirring Notification, Sitting Up Notification, Bed Leaving Alert, Out of Bed Alert, will be generated by Sensable®Care System respectively. Once these four alerts/notifications are generated, designated attending nurses or caregivers equipped with a mobile app will receive audible, vibratory, and/or visual alerts from the Dashboard with subject's room number and type of alert displayed mobile app. Thus, interventions/assistance can be carried out presumably early. Harm to patient safety may be prevented.

Sponsors

Kaiser Permanente
CollaboratorOTHER
MedicusTek USA Corporation
Lead SponsorINDUSTRY

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
PREVENTION
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Gender: male or female * Age: 18 years and older * Racial and ethnic origin: all ethnic groups * Hospital status: admitted in-patient or a patient under observation * Expected hospital length of stay: minimum of 23 hours * Willingness to participate in the study * Moderate to High fall risk scoring a 2 or greater on the Mobility or Mental/LOC/Awareness status sections of the Hester Davis Fall Risk Assessment.

Exclusion criteria

* Declined to participate * Patients less than 18 years old * Patients who have been identified as a low fall risk or moderate fall risk with score less than 2 on the Mobility or Mental/ LOC/Awareness status sections of the Hester Davis Fall Risk Assessment * Women who are documented as pregnant during the study period * Patients who are medically unstable; as per the discretion of the primary nurse * Patients who are actively in the dying process, at the discretion of the primary nurse

Design outcomes

Primary

MeasureTime frameDescription
% of Nursing Staff Who Want to Use the System Following the Trialfocus group at week 8 within the 13 week study periodAcceptance of SensableCare System after Trial Period

Secondary

MeasureTime frameDescription
Rate of Bed Falls Decreased Over Study Periodthrough the 13 week study periodWhether bed falls had decreased over the study period compared to before the start of the trial

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026