چکیده: (13 مشاهده)
Background: A spinal cord injury affects 40 million people globally each year, with 2.1 to 130.7 million of those cases occurring in underdeveloped nations. Motor vehicle crashes, falls, gunshot wounds, knife wounds, and sports and leisure activities are the leading causes of spinal cord injuries. Serious impairment and a low quality of life are two of the main effects of SCI on society, with major emotional, financial, and social ramifications for both the patients and their families. In addition to major long-term medical consequences like spasticity, discomfort, pressure sores, and exhaustion, SCI can result in paralysis and sensory loss.
Objective: The objective of the study was to translate original SCI-SET into Urdu and assess psychometric properties.
Methods: Translation of Spinal cord injury patients’ spasticity evaluation tool into Urdu version was done using Cosmin guidelines. Sample sizes of 175 participants were recruited through the Rehabilitation centers in Lahore, Pakistan, General hospital, Lahore. Those participants who fulfilled the criteria were selected. After obtaining demographic data all the participants were asked to fill SCI-SETu and Functional independence measurement(FIM) questionnaire on first day and after 7 days.
Results: The tool demonstrates excellent internal consistency with a Cronbach’s alpha coefficient of 0.803, indicating high item coherence. It shows no floor or ceiling effects. Construct validity is supported by a significant Pearson correlation (r = 0.788, p < 0.01) with the Functional Independence Measure (FIM) among 175 participants. Additionally, the SCI-SETu shows good test-retest reliability, with an Intraclass Correlation Coefficient (ICC) of 0.801 (95% CI: 0.564 – 0.739), ensuring consistent results over time.
Objective: The objective of the study was to translate original SCI-SET into Urdu and assess psychometric properties.
Methods: Translation of Spinal cord injury patients’ spasticity evaluation tool into Urdu version was done using Cosmin guidelines. Sample sizes of 175 participants were recruited through the Rehabilitation centers in Lahore, Pakistan, General hospital, Lahore. Those participants who fulfilled the criteria were selected. After obtaining demographic data all the participants were asked to fill SCI-SETu and Functional independence measurement(FIM) questionnaire on first day and after 7 days.
Results: The tool demonstrates excellent internal consistency with a Cronbach’s alpha coefficient of 0.803, indicating high item coherence. It shows no floor or ceiling effects. Construct validity is supported by a significant Pearson correlation (r = 0.788, p < 0.01) with the Functional Independence Measure (FIM) among 175 participants. Additionally, the SCI-SETu shows good test-retest reliability, with an Intraclass Correlation Coefficient (ICC) of 0.801 (95% CI: 0.564 – 0.739), ensuring consistent results over time.