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

Status

Completed

Conditions

Intervention / Treatment

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

    • Massachusetts
      • Boston, Massachusetts, United States, 02120
        • Brigham and Women's Hospital

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
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/).
All participants will wear a device configured to detect falls.
Other Names:
  • ActivePERS

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
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
2 years

Secondary Outcome Measures

Outcome Measure
Time Frame
Near falls as measured by patient self report
Time Frame: 2 years
2 years

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.

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