Background: The Stroke Self-Efficacy Questionnaire (SSEQ) measures the self-confidence of the individual in functional activities after a stroke. The SSEQ is a self-report scale with 13 items that assess self-efficacy after a stroke in several functional domains.
Objective: The purpose was to translate the Stroke Self-Efficacy Questionnaire into Urdu Language and to find out the validity and reliability of Urdu SSEQ among stroke patients.
Methods: The cross-cultural validation study design was used. Following COSMIN guidelines, forward and backward translation protocols were adopted. After pilot testing on 10 stroke patients, the final Urdu version was drafted. A sample of 110 stroke patients was used to evaluate the validity and reliability of the SSEQ-U. Content and Concurrent validity were determined. The intraclass correlation coefficient and Cronbach's alpha were used to measure internal consistency and test-retest reliability. Data analysis was performed using SPSS 25.
Results: The final version was drafted after application on 10 stroke patients. Content validity was analyzed by a content validity index ranging from 0.87 to 1. The internal consistency was calculated by Cronbach's alpha (α > 0.80). Test-retest reliability was determined by the Intra-class correlation coefficient (ICC=0.956). Concurrent validity was determined by correlations with other scales by using the Spearman correlation coefficient; moderate to strong correlations (positive and negative) were found with the Functional Independence Measure (r = 0.76), Beck Depression Inventory (r=-0.54), Short Form of 12-item Scale (r = 0.68) and Fall Efficacy Scale (r = 0.82) with p < 0.05.
Conclusion: The Urdu version was linguistically acceptable and accurate for stroke survivors for determining self-efficacy. It showed good content and concurrent validity, internal consistency and test-retest reliability.
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http://dx.doi.org/10.1186/s12883-024-03704-1 | DOI Listing |
Nurs Health Sci
March 2025
Department of Neurology, The Third People's Hospital of Cheng Du, Chengdu, China.
To explore the level and influencing factors of caregivers' benefit finding in stroke patients from both the patient and caregiver perspectives. The growing number of stroke patients with physical impairments has presented significant challenges for caregivers. Benefit finding refers to the positive experience caregivers derive from their caregiving roles, which can help mitigate the adverse effects on their mental health.
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January 2025
Rehabilitation Research Program, Centre for Aging SMART at Vancouver Coastal Health, Vancouver, British Columbia, Canada.
J Rehabil Med
January 2025
Monash Epworth Rehabilitation Research Centre, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia; Epworth Healthcare, Melbourne, VIC, Australia.
Objective: Evaluate efficacy of cognitive behavioural therapy for sleep and fatigue adapted for brain injury relative to health education control in alleviating sleep disturbance and fatigue after acquired brain injury.
Design: Parallel groups randomized controlled trial.
Subjects: 126 community dwelling adults with stroke or traumatic brain injury.
BMJ Open
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Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology & Guangzhou Municipal Key Laboratory of Mechanistic and Translational Obesity Research, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
Introduction: Individuals with pre-diabetes are at high risk for developing type 2 diabetes mellitus (T2DM), which makes them prone to serious complications such as stroke, kidney failure, blindness and lower-limb amputation. Pre-diabetes can be reversed, and lifestyle modification is considered the best intervention method for diabetes prevention. However, it is difficult for individuals with pre-diabetes to maintain a long-term modified healthy lifestyle owing to psychological burnout in daily management over time due to poor adherence.
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January 2025
Chandra Department of Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin 78712 TX, United States of America.
Non-invasive electroencephalograms (EEG)-based brain-computer interfaces (BCIs) play a crucial role in a diverse range of applications, including motor rehabilitation, assistive and communication technologies, holding potential promise to benefit users across various clinical spectrums. Effective integration of these applications into daily life requires systems that provide stable and reliable BCI control for extended periods. Our prior research introduced the AIRTrode, a self-adhesive (A), injectable (I), and room-temperature (RT) spontaneously-crosslinked hydrogel electrode (AIRTrode).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!