- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02835248
A Novel System to Detect Falls in Real-life Conditions
July 23, 2018 updated by: BioSensics
Medical alert devices with automatic fall detection functionality use accelerometry to detect a fall and can signal for help if the wearer forgets to, or is incapable of, pressing the alert button.
This can save lives and prevent complications associated with long periods of time spent on the floor after a fall.
In this project, the sensitivity and false alarm rate of a commercially available medical alert device will be tested in a population of 200 community-dwelling older adults.
Study Overview
Study Type
Observational
Enrollment (Anticipated)
200
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Massachusetts
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Boston, Massachusetts, United States, 02120
- Brigham and Women's Hospital
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
75 years and older (Older Adult)
Accepts Healthy Volunteers
Yes
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
Older adult study participants will be recruited from the cohort of participants in the STRIDE Study at the Boston trial site (http://www.stride-study.org/).
Description
Inclusion Criteria:
- Enrolled in the STRIDE Study at the Boston trial site (http://www.stride-study.org/).
Exclusion Criteria:
- Uses a medical alert device
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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Primary
Older adult study participants will be recruited from the cohort of participants in the STRIDE Study at the Boston trial site (http://www.stride-study.org/).
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All participants will wear a device configured to detect falls.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
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The sensitivity and specificity of ActivePERS fall detection algorithms will be measured by comparing the occurence of falls detected by the wearable device to study participant self reported falls
Time Frame: 2 years
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2 years
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Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
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Near falls as measured by patient self report
Time Frame: 2 years
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2 years
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Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Shalendar Bhasin, MD, Brigham and Women's Hospital
- Principal Investigator: Joseph T Gwin, PhD, BioSensics
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start
September 1, 2015
Primary Completion (Actual)
May 1, 2018
Study Completion (Actual)
May 1, 2018
Study Registration Dates
First Submitted
July 8, 2016
First Submitted That Met QC Criteria
July 13, 2016
First Posted (Estimate)
July 18, 2016
Study Record Updates
Last Update Posted (Actual)
July 24, 2018
Last Update Submitted That Met QC Criteria
July 23, 2018
Last Verified
July 1, 2018
More Information
Terms related to this study
Other Study ID Numbers
- 15-0930-01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Falls
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National University, SingaporeRecruitingFalls Prevention | Falls RiskSingapore
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The Hospital District of SatakuntaCompleted
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Aga Khan UniversityFogarty International Center of the National Institute of HealthActive, not recruitingFalls Injury | Falls | Accidental Falls | Mobility Difficulty | Mobility and Independence | Aged 60 Years or OlderPakistan
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University Hospital, Basel, SwitzerlandCompletedAccidental Falls | Underlying Disease of FallsSwitzerland, Germany
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Peking UniversityActive, not recruitingFalls Injury | Falls | Fall PreventionChina
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Brigham and Women's HospitalNational Institutes of Health (NIH); National Institute on Aging (NIA)CompletedFall Injury | Falls | Exercise Self-Efficacy | Falls Self-EfficacyUnited States
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VA Office of Research and DevelopmentNot yet recruiting
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VA Office of Research and DevelopmentActive, not recruiting
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Brookside Research & Development CompanyNational Institute on Aging (NIA)Active, not recruiting
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University of British ColumbiaCanadian Institutes of Health Research (CIHR)Completed
Clinical Trials on Fall Detection
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Fooyin UniversityCompleted
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Geriatrische Klinik St. GallenRecruitingDementia | Frailty Syndrome | Delirium in Old Age | Incontinence, Urinary | Incontinence Bowel | Fall in Nursing HomeSwitzerland
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The First Hospital of Hebei Medical UniversityCompleted
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Betul Esra CevikCompletedAccidental Fall | Fall Prevention | Fall Risk FactorsTurkey (Türkiye)
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Portland VA Medical CenterOregon Health and Science UniversityCompletedMultiple SclerosisUnited States
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Karolinska InstitutetThe Swedish Research Council; ForteCompletedMultiple SclerosisSweden
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New York UniversityCompleted
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New York UniversityCompletedHealthy Aging | Accidental Fall | Injury PreventionUnited States
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Blue Marble Rehab IncNational Institute on Aging (NIA); Partners In Care FoundationCompleted