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Treadmill training +Transfer package (TT+TP) for Stroke

N/A

Waitlist Available

Research Sponsored by University of Alabama at Birmingham

Eligibility Criteria Checklist

Specific guidelines that determine who can or cannot participate in a clinical trial

Must have

Be older than 18 years old

Timeline

Screening 3 weeks

Treatment Varies

Follow Up through study completion, an average of 8 months to investigate long-term changes from baseline to 6 months follow up assessment.

Awards & highlights

Study Summary

This trial will explore the effect of combining a group of behavioral strategies called Transfer Package with robotic gait training to improve walking and balance skills after stroke.

Eligible Conditions

Stroke
Hemiplegic Gait
Behavioral Mechanisms

Timeline

Screening ~ 3 weeks3 visits

Treatment ~ Varies

Follow Up ~ through study completion, an average of 8 months to investigate long-term changes from baseline to 6 months follow up assessment.

Screening ~ 3 weeks

Treatment ~ Varies

Follow Up ~through study completion, an average of 8 months to investigate long-term changes from baseline to 6 months follow up assessment.

This trial's timeline: 3 weeks for screening, Varies for treatment, and through study completion, an average of 8 months to investigate long-term changes from baseline to 6 months follow up assessment. for reporting.

Treatment Details

Study Objectives

Outcome measures can provide a clearer picture of what you can expect from a treatment.

Primary outcome measures

10 meters walk test - Walking speed assessment

Berg Balance Scale - Balance assessment

Lower Extremity Motor Activity Log - real world use of the effected Lower extremity

Secondary outcome measures

5-times-sit-to-stand - functional strength assessment

6-minutes walking test - energy expenditure assessment.

Fear of Falling Avoidance Questionnaire - avoidance behavior assessment

Trial Design

2Treatment groups

Experimental Treatment

Active Control

Group I: Treadmill training +Transfer package (TT+TP)Experimental Treatment1 Intervention

The TT+TP group will receive 24 sessions (3x week for 8 weeks) of robotic treadmill gait training in a robotic device called KineAssist. In combination with the gait training, participants in this group will also receive a group of behavioral strategies called the "Transfer Package" (TP). Each intervention session will last 1.5h, 1h for the gait training and 30 minutes dedicated for the transfer package. Participants will be assessed pre-, post-intervention, 3 and 6 months after the end of the intervention. Also, participants will be interviewed to investigate their perceptions about each element of the intervention, benefits, side effects and suggestion for change.

Group II: Treadmill training (TT)Active Control1 Intervention

The TT group will receive 24 sessions (3x week for 8 weeks) of robotic treadmill gait training in a robotic device called KineAssist. Participants will be assessed pre-, post-intervention, 3 and 6 months after the end of the intervention. Also, participants will be interviewed to investigate their perceptions about each element of the intervention, benefits, side effects and suggestion for change.

Treatment

First Studied

Drug Approval Stage

How many patients have taken this drug

Treadmill training + transfer package (TT+TP)

2020

N/A

~20

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Find a Location

Who is running the clinical trial?

University of Alabama at BirminghamLead Sponsor

1,580 Previous Clinical Trials

2,275,976 Total Patients Enrolled

36 Trials studying Stroke

87,365 Patients Enrolled for Stroke

Frequently Asked Questions

These questions and answers are submitted by anonymous patients, and have not been verified by our internal team.

Is there still an opportunity to partake in the trial at this time?

"According to the clinicaltrials.gov website, this trial is no longer actively recruiting participants; it has been posted since October 15th 2020 and last updated on September 13th 2022. However, there are currently 1,088 other trials searching for candidates at present."

Answered by AI