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Published on: May 16, 2025
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Development, Reliability and Validity of Engagement in Exercise Rehabilitation Scale for Patients with Stroke
Hu Jiang1,2, Xiaoxuan Wang1, Wenna Wang1
1School of Nursing and Health, Zhengzhou University, Zhengzhou 450001, China.
Nursing Reports (Pavia, Italy)
|August 27, 2025
Summary
A new scale measures patient engagement in exercise rehabilitation after stroke. This validated tool, the Engagement in Exercise Rehabilitation Scale, aids recovery monitoring in home and community settings.
Area of Science:
- Rehabilitation Medicine
- Psychometrics
- Neuroscience
Background:
- Exercise rehabilitation is vital for stroke recovery, especially during home or community reintegration.
- A gap exists in self-reported measures for assessing patient engagement in stroke exercise rehabilitation.
- This study addresses the need for a validated scale to quantify patient engagement.
Purpose of the Study:
- To develop and validate the psychometric properties of the Engagement in Exercise Rehabilitation Scale (EERS) for stroke patients.
- To create a reliable and valid tool for measuring patient engagement in post-stroke exercise.
- To assess patients' perceptions, attitudes, and behaviors related to exercise rehabilitation.
Main Methods:
- Item pool generation through literature review and patient interviews.
- Expert consultation and cognitive interviews for item refinement.
- Psychometric testing (validity, reliability) on 260 stroke patients.
Main Results:
- The final 20-item Engagement in Exercise Rehabilitation Scale demonstrated strong content validity (CVI=0.976).
- Exploratory factor analysis confirmed a unidimensional structure with 79.3% variance explained.
- Excellent reliability was found: test-retest (0.879), split-half (0.980), and Cronbach's α (0.986).
Conclusions:
- The Engagement in Exercise Rehabilitation Scale is a reliable and valid instrument for stroke patients.
- This scale can effectively measure patient engagement in exercise rehabilitation.
- Further multi-center validation studies are recommended for broader generalizability.

