251. RASCH analysis for the recovery process for patients of persistent vegetative state using the National Agency for automotive safety and victims’ aid (NASVA) score.
- Author
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Takano, E., Kondo, I., Shinoda, J., Nagamine, Y., Honda, C., Sato, K., and Teranishi, T.
- Subjects
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ACTIVE recovery , *PERSISTENT vegetative state , *RASCH models , *THERAPEUTICS - Abstract
Introduction/Background The purpose of this study was to analyze NASVA scores using Rasch analysis, and to create a difficulty map of NASVA score to predict the recovery process for persistent vegetative state, and to improve the fitness of the sub-items of NASVA score. Material and method Participants were 114 inpatients (mean age, 37.4 ± 20.4 years) who had been diagnosed with persistent vegetative state after a traffic accident. Rasch analysis was performed by an application named “winsteps”. This application produces a score table, an item measure of the sub-items containing an information-weighted mean square fit statistics (infit) and an outlier-sensitive mean square fit statistics (outfit) of the sub-items. First, I replaced NASVA score with the binary score. Rasch analysis provided a scaled score corresponding to the binary score. The raw score was the sum of the binary score of the sub-item. Then, I made the difficulty map using the scaled score that was calculated in winsteps as the item measure. Furthermore, I analyzed the fitness of the sub-items for the recovery process for persistent vegetative state using their infit and outfit. Here, I set 1.5 or more as misfits for infit or outfit of sub-items. Results In the results of the fitness analysis, nine sub-items were identified as misfits: one motor function, three feeding functions, one excretory function, one cognitive function, and three articulatory and utterance functions. Conclusion Nine misfit sub-items had room for interpretation depending on the insufficient of the items description. Therefore, it was suggested that we improve the scale by removing sub-items from the NASVA score, or creating an interpretation manual. On the other hands, by making use of the difficulty map of NASVA score, the medical staff might be able to decide on the proper goals of rehabilitation and care according to the recovery process of the patient. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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