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Remote Digital Health Intervention to Improve Balance and Reduce Fall Risk

NCT05022589 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 23

Last updated 2024-05-10

No results posted yet for this study

Summary

The goal of this project is to further develop and evaluate a computerized cognitive-training program designed to extend older adults' functional independence and reduce accidental falls (i.e., reduce factors that contribute to fall risk; including cognitive abilities/executive functions). This intervention may benefit a large population of vulnerable older adults with elevated fall risk and lack of long-term viable treatment options.

Conditions

  • Fall

Interventions

OTHER

Computerized Plasticity-Based Adaptive Cognitive Training

Computerized plasticity-based adaptive cognitive training requiring a total maximum of 50 treatment sessions, 5 sessions per week, \~30 minutes per session.

Sponsors & Collaborators

  • Posit Science Corporation

    lead INDUSTRY

Principal Investigators

  • Thomas Van Vleet, PhD · Posit Science Corporation

Study Design

Allocation
NA
Purpose
TREATMENT
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-08-09
Primary Completion
2024-04-19
Completion
2024-04-19

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05022589 on ClinicalTrials.gov