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Updated: Apr 25, 2026

Motor Dual-Tasks for Gait Analysis and Evaluation in Post-Stroke Patients
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Factors describing community ambulation after stroke: a mixed-methods study.

Ruth Barclay1, Jacquie Ripat2, Nancy Mayo3

  • 1Department of Physical Therapy, University of Manitoba, Winnipeg, Manitoba, Canada ruth.barclay@med.umanitoba.ca.

Clinical Rehabilitation
|August 31, 2014
PubMed
Summary

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A new model visualizes community ambulation after stroke, incorporating gait speed, health perceptions, and depression. This model helps physiotherapists set client-centered ambulation goals.

Area of Science:

  • Rehabilitation Medicine
  • Neurology
  • Public Health

Background:

  • Community ambulation is crucial for post-stroke recovery and quality of life.
  • Existing models may not fully capture the multifaceted nature of community ambulation for individuals with stroke.
  • Understanding the factors influencing community ambulation is essential for effective rehabilitation strategies.

Purpose of the Study:

  • To develop and validate a comprehensive model of community ambulation after stroke.
  • To integrate quantitative data, individual experiences, and existing literature into a cohesive model.
  • To provide a visual representation of the relationships between key factors affecting community ambulation.

Main Methods:

  • A mixed-methods approach combining quantitative data analysis (structural equation modeling) and qualitative focus groups.
Keywords:
Community ambulationparticipationstroke

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  • Utilized data from 227 community-dwelling individuals post-stroke for model development.
  • Verified and refined the model through focus groups with 11 individuals with stroke.
  • Main Results:

    • The developed model demonstrated good fit, identifying ambulation, gait speed, and health perceptions as key latent variables.
    • Depression was identified as a significant component influencing community ambulation.
    • Participants confirmed the model and highlighted the importance of endurance and environmental factors, alongside cognitive strategies like self-awareness.

    Conclusions:

    • A validated model for community ambulation after stroke has been successfully developed.
    • The model highlights the interplay of physical, psychological, and environmental factors.
    • This model can guide physiotherapists in establishing collaborative and individualized community ambulation goals for clients.