论文标题

querateizaçãodasescalas nessca e sara sara fitelizando a teoria da resposta ao ao naavaliaçãodocommentimento peladoençadoençadoençade Machado-Joseph

Equalização das escalas NESSCA e SARA utilizando a Teoria da Resposta ao Item na avaliação do comprometimento pela doença de Machado-Joseph

论文作者

Utpott, Nicole Machado, Leotti, Vanessa Bielefeldt, Jardim, Laura Bannach

论文摘要

背景:等级是一种统计技术,用于在不同尺度之间建立等价关系。它的用途在教育评估中很受欢迎,但是在健康领域,措施尺度是整合临床实践的工具。通过使用不同的量表,很难比较诸如NESSCA和SARA量表等科学结果,这是评估对Machado-Joseph病(SCA3/MJD)承诺的工具。目的:使用项目响应理论(IRT)方法在评估SCA3/MJD承诺时,探索规模等同的方法并通过NESSCA和SARA量表来证明其应用。方法:数据来自227名来自Porto Alegre医院的患者,他们对NESSCA和/或SARA量表有完全措施。使用的等同设计是具有共同项目的非等效组,并具有单独的校准。估计参数的IRT模型是Nessca和Sara的广义部分信用。使用平均/平均值/平均/Sigma,Haebara和Stokinglord方法进行线性转换,并应用真实分数的方程式以获得量表分数之间的估计关系。结果:通过平均/Sigma方法,由SARA估计的NESSCA得分和观察到的NESSCA得分之间的差异显示为0.82点。这是测试中线性转化的最佳方法。结论:这项研究扩大了在IRT方法下等于健康结果的量表的使用,并在Nessca和Sara分数之间建立了等效关系,从而使患者与科学结果之间的比较可行。

Background: Scale equating is a statistical technique used to establish equivalence relations between different scales. Its use is quite popular in educational evaluation, however, unusual in the health area, where scales of measures are tools that integrate clinical practice. With the use of different scales, there is a difficulty in comparing scientific results, such as NESSCA and SARA scales, tools for assessing the commitment to Machado-Joseph disease (SCA3/MJD). Objective: Explore the method of scale equating and demonstrate its application through NESSCA and SARA scales, using the Item Response Theory (IRT) approach in assessing SCA3/MJD commitment. Methods: Data came from 227 patients from the Hospital de Clínicas de Porto Alegre with SCA3/MJD who have complete measures for NESSCA and/or SARA scales. The equating design used is that of non-equivalent groups with common items, with separate calibration. The IRT model used in the estimation of the parameters was the generalized partial credit, for NESSCA and SARA. The linear transformation was performed using the Mean/Mean, Mean/Sigma, Haebara and StokingLord methods and the equation of the true score was applied to obtain an estimated relationship between the scores of the scales. Results: Difference between NESSCA score estimated by SARA and observed NESSCA score has shown median of 0.82 points, by Mean/Sigma method. This was the best method of linear transformation among the tested. Conclusions: This study extended the use of scale equating under IRT approach to health outcomes and established an equivalence relationship between NESSCA and SARA scores, making the comparison between patients and scientific results feasible.

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