NCT02655796

Brief Summary

This study evaluates the screening accuracy of a device (OAK) in assessing fall risk in the elderly, compared to the assessment provided by the Algorithm for Fall Risk Assessment of the Centers for Disease Control and Prevention (CDC). The OAK device is a technologic system, based on virtual reality. It allows to quickly perform a fall risk assessment integrating clinical indexes of the Brief-BESTest (The Balance Evaluation System Test), and kinematic and posturgraphic indexes. The participants interact with the OAK device through simple exercises, then the device provides an assessment of their functional mobility, equilibrium and postural reactions.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
184

participants targeted

Target at P75+ for phase_2

Timeline
Completed

Started Nov 2015

Shorter than P25 for phase_2

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

November 1, 2015

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

January 12, 2016

Completed
2 days until next milestone

First Posted

Study publicly available on registry

January 14, 2016

Completed
11 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2016

Completed
5 months until next milestone

Study Completion

Last participant's last visit for all outcomes

May 1, 2017

Completed
Last Updated

June 29, 2017

Status Verified

February 1, 2017

Enrollment Period

1.1 years

First QC Date

January 12, 2016

Last Update Submit

June 28, 2017

Conditions

Keywords

Accidental FallsRisk AssessmentFrail Elderly

Outcome Measures

Primary Outcomes (2)

  • OAK failures in the fall risk assessment

    Proportion of participants for which the OAK device is not able to provide a fall risk assessment

    Baseline

  • OAK sensitivity in the fall risk assessment

    Proportion of participants assessed by the OAK device as moderate/high risk of falling among those at moderate/high risk according to the CDC Algorithm for Fall Risk Assessment

    Baseline

Secondary Outcomes (3)

  • Adverse events

    Baseline

  • Serious adverse events

    Baseline

  • Rate of falls

    During the previous 6 months

Study Arms (2)

Moderate/High Risk

EXPERIMENTAL

Participants assessed as moderate/high risk of falling according to the CDC Algorithm for Fall Risk Assessment

Device: OAK

Low Risk

EXPERIMENTAL

Participants assessed as low risk of falling according to the CDC Algorithm for Fall Risk Assessment

Device: OAK

Interventions

OAKDEVICE

The OAK device evaluates the fall risk through exercises assessing mobility, equilibrium and postural reaction.

Low RiskModerate/High Risk

Eligibility Criteria

Age65 Years - 80 Years
Sexall
Healthy VolunteersYes
Age GroupsOlder Adult (65+)

You may qualify if:

  • Able to walk without walking aids.
  • Signed informed consent.

You may not qualify if:

  • Neurological, musculoskeletal and orthopaedic disorders limiting mobility function and equilibrium. Psychiatric disorders. Any other medical condition limiting mobility function, as diabetes, obesity, serious ocular disorders (e.g. glaucoma), vestibular disorders (e.g. labyrinthitis) and proprioceptive disorders (e.g. ataxia).
  • Pacemaker.
  • Surgical interventions for orthopaedic disorders (e.g. knee or hip prosthesis) during the previous 6 months.
  • Drug intake altering coordination and equilibrium (e.g. anti-epileptic, sedative-hypnotic drugs).
  • Pregnancy.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

IRCCS Galeazzi Orthopedic Hospital

Milan, 20161, Italy

Location

Related Publications (1)

  • Castellini G, Gianola S, Stucovitz E, Tramacere I, Banfi G, Moja L. Diagnostic test accuracy of an automated device as a screening tool for fall risk assessment in community-residing elderly: A STARD compliant study. Medicine (Baltimore). 2019 Sep;98(39):e17105. doi: 10.1097/MD.0000000000017105.

MeSH Terms

Conditions

Gait Disorders, Neurologic

Condition Hierarchy (Ancestors)

Neurologic ManifestationsNervous System DiseasesSigns and SymptomsPathological Conditions, Signs and Symptoms

Study Officials

  • Giuseppe Banfi, MD

    banfi.giuseppe@fondazionesanraffaele.it

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
phase 2
Allocation
NON RANDOMIZED
Masking
NONE
Purpose
SCREENING
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

January 12, 2016

First Posted

January 14, 2016

Study Start

November 1, 2015

Primary Completion

December 1, 2016

Study Completion

May 1, 2017

Last Updated

June 29, 2017

Record last verified: 2017-02

Locations