A Rasch analysis of a self-perceived change in quality of life scale in patients with mild stroke.

Faculty of Physical Therapy, College of Health Science, Kaohsiung Medical University, Taiwan.
Quality of Life Research (Impact Factor: 2.86). 01/2006; 14(10):2259-63. DOI: 10.1007/s11136-005-8117-5
Source: PubMed

ABSTRACT A Rasch analysis was used to assess the unidimensionality and appropriateness of the scoring level of a 13-item self-perceived change in quality of life scale (CQOL) for stroke patients. A total of 158 patients with mild stroke completed the CQOL themselves at home. The results showed that a unidimensional CQOL can be created by deleting the three items related to speaking, vision, and thinking. The 4 scoring categories of the shortened scale were deemed appropriate from the analysis. These results provide preliminary evidence of the 10-item CQOL in assessing self-perceived change in quality of life in stroke patients. Further studies are needed to examine the test-retest reliability, criterion validity, and responsiveness of the 10-item CQOL in stroke patients.


Available from: Ching-Fan Sheu, May 25, 2015
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Somatosensory discrimination of unseen objects relies on processing of proprioceptive and tactile information to detect spatial features, such as shape or length, as acquired by exploratory finger movements. This ability can be impaired after stroke, because of somatosensory-motor deficits. Passive somatosensory discrimination tasks are therefore used in therapy to improve motor function. Whereas the neural correlates of active discrimination have been addressed repeatedly, little is known about the neural networks activated during passive discrimination of somatosensory information. In the present study, we applied functional magnetic resonance imaging (fMRI) while the right index finger of ten healthy subjects was passively moved along various shapes and lengths by an fMRI compatible robot.Comparing discriminating versus non-discriminating passive movements, we identified a bilateral parieto-frontal network, including the precuneus, superior parietal gyrus, rostral intraparietal sulcus, and supramarginal gyrus as well as the supplementary motor area (SMA), dorsal premotor (PMd), and ventral premotor (PMv) areas. Additionally, we compared the discrimination of different spatial features, i.e., discrimination of length versus familiar (rectangles or triangles) and unfamiliar geometric shapes (arbitrary quadrilaterals). Length discrimination activated mainly medially located superior parietal and PMd circuits whereas discrimination of familiar geometric shapes activated more laterally located inferior parietal and PMv regions. These differential parieto-frontal circuits provide new insights into the neural basis of extracting spatial features from somatosensory input and suggest that different passive discrimination tasks could be used for lesion-specific training following stroke.
    NeuroImage 07/2005; 26(2):441-453. DOI:10.1016/j.neuroimage.2005.01.058 · 6.13 Impact Factor
  • Methods in cell biology 01/1995; 47:9-12. DOI:10.1016/S0091-679X(08)60783-9 · 1.44 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Purpose:  Many questionnaires for the measurement of visual impairment exist. One, the Houston Vision Assessment Test (HVAT), takes a different approach: the patient is asked to rate overall impairment and the proportion attributed to vision, then through multiplication the visual and non-visual (physical) impairments are calculated. The purpose of this study was to determine whether the scores derived from this approach can be considered to be measures.Methods:  The participants were 193 cataract patients awaiting surgery (mean age 74.1 ± 9.8 years, 54 per cent female and 53.6 per cent were awaiting first eye surgery), who self-administered the HVAT, which consists of 10 questions, whereby impairment on each activity and the proportion attributable to vision is rated. Therefore, total, visual and physical impairments are calculated. For each question, multiplying the impairment (five response categories) by the proportion due to eyesight (five categories) gives 10 possible levels of visual impairment. Assessment of the multiplicative rating scales included frequency of category use and hierarchical ordering of response categories using category thresholds. Summary statistics of Rasch analysis were generated for the rating scale and overall questionnaire performance.Results:  In the multiplicative scale, higher response categories were under-utilised and thresholds were disordered, indicating that the categories did not function as intended. Some of the dysfunction arose from disordered thresholds in the ‘proportion due to eyesight scale’, but repairing this gave little improvement to the multiplicative scale. The ill-defined nature of the disordered categories precluded further repair by combining categories. Measurement precision, as indicated by person separation reliability, was poor (0.70).Conclusion:  Rasch analysis demonstrated that the categories of the multiplied rating scale of the HVAT were not ordered, as the user would expect; this precludes measurement. This provides evidence against the use of multiplicative rating scales in quality-of-life questionnaires. It would be better to use a single rating scale for each construct of interest.
    Clinical and Experimental Optometry 12/2010; 94(1):52 - 62. DOI:10.1111/j.1444-0938.2010.00554.x · 1.26 Impact Factor