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Predicting Recovery and Setting Appropriate Upper Extremity Goals Post-Stroke

presented by Dorian Rose, PT, PhD

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Satisfactory completion requirements: All disciplines must complete learning assessments to be awarded credit, no minimum score required unless otherwise specified within the course.

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This course is part of our NCS Prep-Program. Learn more about the full prep-program here: MedBridge NCS Prep-Program.

While regaining walking ability following stroke is common, functional recovery of the upper extremity presents a more frequent challenge for those with post-stroke hemiparesis. Residual UE impairment in 70% to 80% of our clients leads to difficulties in ADLs and engagement in community life. The degree of arm recovery varies widely and clinicians need to be equipped to educate their patients and caregivers regarding prognosis and the underlying mechanisms of the heterogeneity observed in recovery of the upper extremity. This course will provide tools for clinicians to make evidence-based predictions of arm recovery for best utilization of treatment resources and goal-setting.

Meet Your Instructor

Dorian Rose, PT, PhD

Dorian Rose, PhD, PT holds a dual appointment as a Research Assistant Professor in the Department of Physical Therapy at the University of Florida and a Research Health Scientist at the Malcom Randall VA Medical Center in Gainesville, FL. Dr. Rose's interests as a researcher, educator, and clinician are in adult neurorehabilitation. In addition to…

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Chapters & Learning Objectives

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1. Underlying Challenges in Upper Extremity Recovery Post-Stroke

This chapter will present the anatomical, biomechanical and patient-centered challenges that therapists are faced with when setting goals and designing rehabilitation interventions for the upper extremity.

2. Using Evidence-Based Prediction Models to Tailor Upper Extremity Rehabilitation Goals

This chapter will present an evidence-based algorithm therapists can use to predict upper extremity recovery, establish an appropriate treatment plan and set appropriate goals. The algorithm will be applied to case examples along the recovery continuum.

3. Using Evidence-Based Prediction Models to Drive Upper Extremity Intervention

This chapter will introduce an algorithm that can be used to design appropriate interventions for patients across the recovery continuum. Examples of intervention options will be provided.

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