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Traumatic Brain Injury and Cerebral Vascular Accident: Application of Rasch Analysis to Examine Differences in Disability and Outcome in Post-Hospital Rehabilitation

机译:颅脑外伤和脑血管意外:Rasch分析在医院康复后检查残疾和结果差异方面的应用

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The purpose of this study was to demonstrate an application of Rasch analysis to identify differences in disability profiles resulting from traumatic brain injury (TBI) and cerebral vascular accident (CVA) and to examine outcome differences between the two groups following post-hospital residential rehabilitation. Participant data w ere collected from 32 facilities in 16 states. From 2990 neurologically impaired individuals with consecutive admissions from 2011 through 2017, 874 met inclusion criteria: TBI (n = 687) or CVA (n = 187), 18 years or older, minimum length of stay of one month, and maximum chronicity of 1 year. Participants were evaluated at admission and discharge on the Mayo Portland Adaptability Inventory - Version 4 (MPAI-4). Rasch analysis was performed to establish item reliability, construct validity and item difficulty. A Repeated Measures Multivariate Analysis of Covariance (RM MANCOVA) determined group differences and improvement from admission and discharge. Rasch Analysis demonstrated satisfactory construct validity and internal consistency (Person reliability > 0 .90, Item reliability > 0 .98 for admission and discharge MPAI-4s). Both groups showed significant improvement on the MPAI-4 (p < 0 .0005). The TBI group was more impaired on the adjustment scale at both admission and discharge (p < 0 .001). Rasch analysis identified two distinct impairment patterns. CVA participants exhibited deficits characteristic of focal impairment while the TBI group presented with deficits reflective of diffuse impairment. Rehabilitation was shown to be beneficial in reducing disability following neurologic injury in both groups. Importantly, Rasch Analysis accurately produced unique disability profiles that differentiated the treatment groups. This unique statistical technique offers a promising prescriptive hierarchical model for guiding neurological rehabilitation treatment.
机译:这项研究的目的是证明Rasch分析的应用,以鉴定由颅脑外伤(TBI)和脑血管意外(CVA)导致的残疾状况差异,并检查两组在院后居住区康复后的结果差异。参与者数据来自16个州的32个设施。从2011年至2017年连续入院的2990名神经系统障碍人士中,有874名符合纳入标准:TBI(n = 687)或CVA(n = 187),年龄18岁或以上,最小住院时间为一个月,最大慢性病为1年。在入场和出场时根据《梅奥波特兰适应性清单-版本4(MPAI-4)》对参与者进行评估。进行Rasch分析以建立项目可靠性,构造效度和项目难度。协方差的重复测量多元分析(RM MANCOVA)确定了组差异以及入院和出院的改善。 Rasch分析证明了令人满意的构建效度和内部一致性(对于MPAI-4的入库和出库,人员可靠性> 0 .90,项目可靠性> 0 .98)。两组均显示出MPAI-4的显着改善(p <0.0005)。 TBI组在入院和出院时的调整量表上都受到更大的损害(p <0.001)。 Rasch分析确定了两种不同的损伤模式。 CVA参与者表现出局灶性损害的缺陷特征,而TBI组表现出弥散性损害的缺陷。两组均显示康复对减少神经损伤后的残疾有益。重要的是,Rasch Analysis准确地产生了独特的残疾状况,从而使治疗组有所区别。这种独特的统计技术为指导神经康复治疗提供了有希望的规范性分层模型。

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