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.

  • [Show abstract] [Hide abstract]
    ABSTRACT: This study assessed the 38-item Perceived Benefits Scale (PBS) by examining whether the items constructed a single latent trait and formed an interval scale. This would justify its use to measure the advantages of benefit-finding brought to patients with different cancers from participation in community-based cancer support groups. A total of 300 patients were randomly recruited from a 1300-bed medical centre in Taiwan. The Rasch rating scale model was used to examine the model-data fit. Differential item functioning (DIF) analysis was conducted to verify construct equivalence across groups. Comparisons were made among demographic characteristics for various types of patient support groups. Of the 38 items on the PBS, 28 were applicable to cancer patients and were divided into two distinct unidimensional domains; both met the Rasch model's expectation to constitute a single construct. DIF was found between types of cancer patients, but not between genders. Positive changes following adversity were statistically significantly associated with and ascribed to the duration of patient attendance in community-based cancer support groups. The two domains verified by Rasch analysis can be used through Rasch-transformed measures to make further statistical inference when comparing positive changes following adversity within and between cancer groups. The psychometric properties of the PBS verified by Rasch modeling fit to the unidimensionality, but need a huge sample size to support its validity and reliability in future studies. Nonetheless, we should be cautious to make comparisons among types of cancer patients due to DIF exhibited in scale.
    Psycho-Oncology 01/2011; 20(1):98-105. DOI:10.1002/pon.1713 · 4.04 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: The purpose of this study was to validate an item bank of questions associated with activities of daily living (ADL), using graded item response theory (G-IRT), in a sample of community-dwelling survivors of a stroke. The study sample consisted of 364 community-dwelling individuals who reported a recent history of stroke. Sixteen line items from the 1999-2000 National Health and Nutrition Examination Surveys (NHANES) survey were analyzed using factor analysis, internal analyses of consistency, and G-IRT. The 16 line items demonstrated unidimensionality and were internally reliable. Thirteen line items demonstrated good discrimination and suitable thresholds. The majority of items exhibited appropriate sensitivity across the entire spectrum of functional severity indicating that these items closely reflected the relationship of decreased function with increased severity of illness. Each of the 13 items is scale independent, is valid for measurement of functional impairment, and may be applicable for use in a scale for assessment of functional change in community-dwelling stroke survivors.
    Journal of Geriatric Physical Therapy 02/2006; 29(3):107-14. DOI:10.1519/00139143-200612000-00005 · 1.26 Impact Factor
  • 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