Department of Clinical Neuroscience and Rehabilitation, Institute of Neuroscience and Physiology Rehabilitation Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden -
Department of Physiotherapy, NU-Hospital Group, Trollhättan/Uddevalla, Sweden.
Eur J Phys Rehabil Med. 2017 Dec;53(6):848-855. doi: 10.23736/S1973-9087.17.04607-X. Epub 2017 May 12.
A previous small-sample (N.=150) Rasch analysis of the Swedish modified version of the Postural Assessment Scale for Stroke Patients (SwePASS) suggested problems regarding response categories and redundant items that need confirmation in larger samples with more severe strokes.
The aim of this study was to evaluate the measurement properties of the SwePASS in patients with acute stroke.
A multicenter, cross-sectional study.
Two stroke units in Western Sweden.
The study cohort included 250 consecutive inpatients undergoing rehabilitation after acute stroke.
The SwePASS assessments were performed once within the first four days after admission to the stroke units. The data were analyzed according to the Rasch measurement model regarding targeting, model fit, reliability, response category function, local dependence and differential item functioning.
Postural control of 250 patients (median age, 76.5 years) was assessed with the SwePASS within median of two days after admission to the stroke units. The SwePASS covered a continuum of different levels of postural control, but had suboptimal targeting with insufficient representation of lower and higher levels of postural control. The reliability was high, the item fit statistics were generally acceptable and there was no differential item functioning by sex, age and stroke localization. However, response categories did not function as expected for four of the 12 SwePASS items and five items exhibited local dependency.
The SwePASS exhibited several promising measurement properties. To improve the scale, poor targeting, illogical response categories and local dependency should be addressed.
The SwePASS provides valuable clinical information regarding postural control in the acute phase after stroke.
之前对瑞典版脑卒中患者姿势评估量表(SwePASS)的小规模样本(N=150)进行的 Rasch 分析表明,该量表在反应类别和冗余项目方面存在问题,需要在更大样本和更严重的脑卒中患者中进行验证。
本研究旨在评估 SwePASS 在急性脑卒中患者中的测量性能。
多中心、横断面研究。
瑞典西部的 2 个脑卒中病房。
研究队列包括 250 例连续接受急性脑卒中康复治疗的住院患者。
SwePASS 评估在患者入院后前 4 天内进行一次。数据分析根据 Rasch 测量模型进行,包括目标定位、模型拟合、可靠性、反应类别功能、局部依赖和差异项目功能。
250 例患者(中位年龄 76.5 岁)在脑卒中病房入院后中位 2 天内接受了 SwePASS 评估。SwePASS 涵盖了不同水平的姿势控制范围,但目标定位不理想,对较低和较高水平的姿势控制代表性不足。可靠性高,项目拟合统计数据总体上可接受,且不存在因性别、年龄和脑卒中定位而导致的差异项目功能。然而,12 个 SwePASS 项目中的 4 个项目的反应类别功能不符合预期,5 个项目存在局部依赖。
SwePASS 具有多项有前景的测量特性。为了改进该量表,应解决目标定位不佳、逻辑不合理的反应类别和局部依赖问题。
SwePASS 在脑卒中后急性期提供了有关姿势控制的有价值的临床信息。