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Related Experiment Video

Updated: Jun 29, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

Matching Clinical Profiles With Interventions to Optimize Daily Stepping in People With Stroke.

Kiersten M McCartney^1,2, Ryan T Pohlig³, Allison E Miller⁴

¹Department of Physical Therapy, University of Delaware, Newark, DE 19713, United States.

Physical Therapy

|May 13, 2025

Summary

Personalizing rehabilitation is key for stroke survivors to increase daily steps. Different patient profiles respond best to specific interventions like high-intensity treadmill training or behavioral programs.

Keywords:

High-Intensity Gait Physical Activity Step-Activity Monitoring Stroke Walking

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Last Updated: Jun 29, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

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Published on: January 15, 2017

Computerized Adaptive Testing System of Functional Assessment of Stroke

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

Motor Dual-Tasks for Gait Analysis and Evaluation in Post-Stroke Patients

Motor Dual-Tasks for Gait Analysis and Evaluation in Post-Stroke Patients

Published on: March 11, 2021

Area of Science:

Neurorehabilitation
Stroke Recovery
Physical Therapy

Background:

Optimizing daily step activity is crucial for functional recovery after stroke.
Individualized interventions are needed to maximize benefits for people with chronic stroke.

Purpose of the Study:

To classify individuals with chronic stroke into distinct clinical profiles.
To determine if these profiles benefit more from specific interventions (high-intensity treadmill training, behavioral intervention, or combined) for improving daily step activity.

Main Methods:

Secondary analysis of a randomized controlled trial involving 190 participants.
Participants were randomized into high-intensity treadmill training (FAST), a step-activity behavioral intervention (SAM), or a combined (FAST+SAM) group.
Latent class analysis identified profiles based on walking speed, endurance, balance self-efficacy, cognition, and area deprivation.

Main Results:

Three distinct clinical profiles of stroke survivors were identified.
Profile 1 (lowest walking capacity) showed greatest step increase with SAM or FAST+SAM.
Profile 2 (intermediate capacity) improved most with SAM.
Profile 3 (highest capacity) benefited most from FAST+SAM.

Conclusions:

Stroke survivors exhibit distinct profiles requiring tailored interventions to enhance step activity.
Clinicians can utilize baseline measures to select the most effective intervention for individual patients.