Reliability and Validity of Modified Postural Assessment Scale for Stroke Patients and the Application of This Scale on Early Detection of Patients With Stroke at High Risk of Falls
Recruitment status was Recruiting
The purposes of this study are to investigate the reliability and validity of the modified Postural Assessment Scale for Stroke Patients (mPASS) and its applications in early detection of fall-prone patients.
The intraclass correlation coefficient will be used to examine the intra-rater reliability, inter-rater reliability, and the Cronbach’s alpha will be used to examine the internal consistency of the 16 items of mPASS.
|Study Design:||Observational Model: Defined Population
Primary Purpose: Screening
Time Perspective: Longitudinal
|Official Title:||Reliability and Validity of Modified Postural Assessment Scale for Stroke Patients and the Application of This Scale on Early Detection of Patients With Stroke at High Risk of Falls|
|Study Start Date:||January 2005|
|Estimated Study Completion Date:||December 2005|
Due to the impaired balance function, patients with stroke show high incidence of falls. Impaired postural stability has been shown as one of the primary risk factors of falls in these patients. Research has shown that patients who have moderate level of mobility and stability are more likely to fall than those who have very good or very poor mobility and stability. Therefore, there is an urgent need for physical therapists, who are used to play an important role in improving balance function of patients with stroke, to be able to early detect stroke patients who are at high risk of falls, and to implement fall prevention training and education on these patients. However, to date, there is not any clinical assessment scale that can be used for early detection of fall-prone stroke patients.
|Contact: Wen-Shing Huang, PT||+886-2-23123456 ext firstname.lastname@example.org|
|National Taiwan University Hospital||Recruiting|
|Taipei, Taiwan, 100|
|Contact: Wen-Shing Huang, PT +886-2-23123456 ext 6762 Email: email@example.com|
|Principal Investigator:||Chein-Wei Chang, MD||National Taiwan University Hospital|