Stroke Impact Scale 3.0 and the Stroke-Specific Quality of Life Scale (original) (raw)
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Development of a Stroke-Specific Quality of Life Scale
Stroke, 1999
Background and Purpose —Clinical stroke trials are increasingly measuring patient-centered outcomes such as functional status and health-related quality of life (HRQOL). No stroke-specific HRQOL measure is currently available. This study presents the initial development of a valid, reliable, and responsive stroke-specific quality of life (SS-QOL) measure, for use in stroke trials. Methods —Domains and items for the SS-QOL were developed from patient interviews. The SS-QOL, Short Form 36, Beck Depression Inventory, National Institutes of Health Stroke Scale, and Barthel Index were administered to patients 1 and 3 months after ischemic stroke. Items were eliminated with the use of standard psychometric criteria. Construct validity was assessed by comparing domain scores with similar domains of established measures. Domain responsiveness was assessed with standardized effect sizes . Results —All 12 domains of the SS-QOL were unidimensional. In the final 49-item scale, all domains demon...
Psychometric comparisons of the Stroke Impact Scale 3.0 and Stroke-Specific Quality of Life Scale
Quality of Life Research, 2010
Purpose This study compared the responsiveness and criterion-related validity of the Stroke Impact Scale (SIS) and Stroke-Specific Quality of Life Scale (SS-QOL) for patients after stroke rehabilitation. Methods The SIS and SS-QOL, along with five criterion measures-the Fugl-Meyer Assessment, the Motor Activity Log, the Functional Independence Measure, the Frenchay Activities Index, and the Nottingham Extended Activities of Daily Living Scale-were administered to 74 patients with stroke before and after a 3-week intervention. Responsiveness was examined using the Wilcoxon signed rank test and standardized response mean (SRM). Criterion-related validity was investigated using the Spearman correlation coefficient (q). Results Whereas the SS-QOL subscales were nonresponsive to changes, the SIS hand function showed medium responsiveness (SRM = .52, Wilcoxon Z = 4.24, P \ .05). Responsiveness of the SIS total also was significantly larger than that of the SS-QOL total (SRM difference, .36; 95% confidence interval, .02-.71). Criterion validity of the SIS hand function was good (q = .51-.68; P \ .01), but that of the SS-QOL was only fair (q = .25-.31; P \ .05). Conclusion Because the SIS had better overall responsiveness and the SIS hand function showed medium responsiveness and good criterion validity, the SIS appears to be more suited for assessing changes after stroke rehabilitation.
Journal of Rehabilitation Medicine, 2012
Objective: To examine the measurement properties of a short version of the Stroke-Specific Quality of Life Scale (SS-QoL-12). Design: Self-report survey of patients with mild to moderate upper extremity dysfunction. Patients: A total of 126 patients provided 252 observations before and after treatment. Methods: The construct validity and reliability was examined using the Rasch model; the concurrent and predictive validity was estimated using Spearman's rank correlation coefficients. Paired t-test and the standardized response mean (SRM) were performed to estimate the responsiveness of the SS-QoL-12.
Development and validation of a short version of the Stroke Specific Quality of Life Scale
Journal of Neurology, Neurosurgery, and Psychiatry, 2010
Background and purpose The Stroke-Specific Quality of Life scale (SS-QoL) is a well-validated measure of Healthrelated Quality of Life in patients with stroke, but, with 49 items, its length is a disadvantage. Our purpose was to develop and test a short version of the SS-QoL. Methods Secondary analyses of 3 different studies. We developed the short version using data from 141 patients with aneurysmal subarachnoid haemorrhage (SAH) and tested it on data from independent samples of 97 patients with SAH and 105 patients with ischemic stroke or intracerebral hemorrhage. We selected the item with the highest item-domain correlation from each of the SS-QoL domains to obtain a 12-item SS-QoL (SS-QoL-12) with a total score and physical and psychosocial sub-scores. Criterion validity of the SS-QoL-12 scores was tested in each sample with the original SS-QoL as reference. Results All three scores of the SS-QoL-12 showed good internal consistency (Cronbach's alpha 0.78-0.89). The SS-Qol-12 scores predicted 88-95% of the variance of the original SS-QoL. Mean differences between the SS-QoL-12 and the SS-QoL and their 95% confidence intervals were generally within 0.1 point on a 1-5 scale. The limits of agreement were generally within 0.4 point. Conclusion The SS-QoL-12 has good criterion validity for all subsets of stroke. Because it consists of only 12 questions, this short form will be easy to use in research and clinical settings.
Measuring quality of life in a way that is meaningful to stroke patients
Neurology, 1999
Objective: To identify predictors of poststroke quality of life. Background: Health-related quality of life (HRQOL) measures assess the impact of disease on the physical, emotional, and social aspects of patients' lives. Although HRQOL measures are used increasingly, factors associated with HRQOL poststroke and the ability of stroke-specific versus generic HRQOL measures to predict patient-reported HRQOL are not well known.
Quality of Life Research, 2009
Purpose To link the concepts underlying the Stroke-Specific Quality of Life (SS-QOL) scale with those of the International Classification of Functioning, Disability, and Health (ICF), which are two different perspectives to consider functioning and health. This will facilitate the understanding of the relationships between the SS-QOL and the ICF. One of the purposes of the ICF is to be used as a common terminology and a clinical problem-solving tool in clinical and research settings. The ICF concept of functioning can also serve as the basis for the operationalization of the health-related quality of life. Thus, efforts should be made to allow the concurrent use of the ICF and health measurements in both clinical and research settings. Methods Linking of the SS-QOL concepts with the ICF categories was carried out by two independently trained health care professionals who applied the standardized eight linking rules that were specifically developed and updated for this purpose. The degree of agreement between the health care professionals was determined by kappa coefficients.
Authorea, 2020
Rationale, aims, and objectives: The study was to compare the Turkish version of the (Stroke Specific Quality of Life Scales) SSQOL and the SF-36 scales used to determine The Health-Related Quality of Life (HRQOL) of stroke patients, to evaluate the effectiveness of both scales and to determine whether these two scales differ according to sociodemographic characteristics in stroke patients. HRQOL measurements, are commonly used to quantify disease burden, to evaluate treatment method, and to facilitate benchmarking. Descriptive and methodological design. Method: This study was conducted with 205 patients who were hospitalized with the diagnosis of stroke, and followed up for at least 48 hours in a neurology department of a hospital in Istanbul. The data of the study were collected using a form including 18 questions related to sociodemographic characteristics of the patients and the disease, SF-36 and SSQOL Scales. In the analysis of data; in addition to descriptive statistical methods, Kruskal- Wallis test, Mann Whitney U test, Sperman’s correlation analysis were used. Significance was evaluated at p <0.05. Approval of the institutional ethics committee was obtained. Results: The mean age of the study group was 65.23 ± 13.64 years, and consisted of primary school graduates (46.6%), married (75%), and unemployed (84.9%) patients. It was observed that mean scores of SF-36 and SSQOL subdimensions - apart from mental health-mood subdimensions- were higher than those of SSQOL, and both scales have higher internal consiistencies ranging between: 0.74- 0.97 for SSQOL, and 0.59-0.95 for SF-36. Besides, there was a positive, and statistically significant correlation between dimensions of the scales (p <0.05), while, moderate correlation existed between similar subdimensions (r= 0.042-0.59). Conclusions: Both scales can be used to evaluate the quality of life of acute stroke patients. However, SSQOL is recommended as a priority for acute stroke patients.
Psychometric Evaluation of the Stroke Impact Scale 3.0
The Journal of Cardiovascular Nursing, 2014
Background: The Stroke Impact Scale 3.0 (SIS 3.0) is widely used to measure quality of life in stroke survivors; however, previous studies have not tested the original 8-factor structure of the scale. In addition, previous studies have shown floor and ceiling effect and weak reliability within the scale. Objective: The aim of this study was to evaluate the psychometric characteristics of the SIS 3.0, including its construct validity (factorial structure, concurrent and contrasting group validity), floor and ceiling effect, and reliability. Method: A cross-sectional design was used to study 392 stroke survivors enrolled in 16 rehabilitation facilities across Italy. Factorial structure of the SIS 3.0 was tested with confirmatory factor analysis. Concurrent and contrasting group validities were evaluated with other scales measuring functional capacities, neurological functions, cognition, anxiety, depression, and generic quality of life. Floor and ceiling effects were evaluated by determining the percentages of patients with the minimum and the maximum score at SIS 3.0. Reliability was determined by Cronbach's ! and test-retest. Results: Participants were 71 years old on average (SD, 11 years); 55% were men. Confirmatory factor analysis revealed a new 4-factor structure that fitted the data better than the original 8-factor structure did. Concurrent and contrasting group validity of the new 4-factor structure was supportive and no floor and ceiling effects were found. Internal consistency and test-retest reliability ranged between 0.79 and 0.98. Conclusion: The new factorial structure of the SIS 3.0 with 4 factors showed better psychometric properties than the original 8-factor structure did. This evidence supports further use of the SIS 3.0 in clinical practice and research.
Quality of Life Measurement After Stroke
Stroke, 2002
Background and Purpose — The Medical Outcomes Study 36-item Short-Form Health Survey (SF-36) is widely used to measure health status after stroke. However, a fundamental assumption for its valid use after stroke has not been comprehensively tested: is it legitimate to generate scores for 8 scales and 2 summary measures using the standard algorithms? We tested this assumption. Methods — SF-36 data from 177 people after stroke were examined (71% male; mean age, 62). We tested 6 scaling criteria to determine the legitimacy of generating the 8 SF-36 scale scores using Likert’s method of summed ratings, and we tested 2 scaling criteria to determine the appropriateness of the standard SF-36 algorithms for weighting and combining scale scores to generate 2 summary measures (physical and mental). Results — Scaling assumptions were fully satisfied for 6 of the 8 scales, but 3 of these 6 scales had notable floor and/or ceiling effects. Assumptions for generating 2 SF-36 summary measures were ...