Ahrens A, Skarada D, Wallace M, Cheung J Y, Neely J G
Department of Otolaryngology--Head and Neck Surgery, Washington University School of Medicine, St. Louis, Missouri, 63110, USA.
Am J Otol. 1999 Sep;20(5):667-71.
The senior authors developed a computer-assisted rapid, simultaneous comparison system for nine international grading scales for facial paralysis. The purpose of this study is to present the system and to compare the agreement of hand-performed House-Brackmann and Sunnybrook scales, two frequently used scales herein taken as the concurrent criterion test standards, with those like scales done simultaneously in the computed system.
The study design was a prospective concurrent criterion validity study. Test-retest reliability and interobserver agreement were assessed using the kappa statistic (k) for ordinal data and the intraclass correlation coefficient (ICC) for semidimensional data.
The study was conducted at a university practice.
Ten consecutive consenting subjects with varying degrees of facial paralysis were studied.
Each subject was measured, in random order, twice by each method by each of two independent observers.
House-Brackmann score, Sunnybrook score, and like-scale scores done simultaneously in the computed system were measured.
Agreement between the computed system and hand-performed criterion standards was equal to each scale compared against itself; for the House-Brackmann, agreement was moderate (k = 0.554); for the Sunnybrook, agreement was excellent (ICC = 0.976).
The computed system has the advantage of allowing an examiner to view a rapid, simultaneous display of multiple grading scale scores at a keystroke from one clinical assessment input, obviating the labor of repeating measures by hand.
资深作者开发了一种计算机辅助的快速同步比较系统,用于对九种面瘫国际分级量表进行比较。本研究的目的是介绍该系统,并比较手工操作的House - Brackmann量表和Sunnybrook量表(本文将这两种常用量表作为并行标准测试标准)与在计算机系统中同时进行的类似量表的一致性。
研究设计为前瞻性并行标准效度研究。使用用于有序数据的kappa统计量(k)和用于半维度数据的组内相关系数(ICC)评估重测信度和观察者间一致性。
研究在大学诊所进行。
对10名连续同意参与的不同程度面瘫患者进行了研究。
两名独立观察者分别对每个受试者采用每种方法按随机顺序测量两次。
测量House - Brackmann评分、Sunnybrook评分以及在计算机系统中同时进行的类似量表评分。
计算机系统与手工操作的标准之间的一致性与每个量表自身比较时相同;对于House - Brackmann量表,一致性为中等(k = 0.554);对于Sunnybrook量表,一致性极佳(ICC = 0.976)。
该计算机系统的优势在于,检查者通过一次临床评估输入按键操作,就能快速同步查看多个分级量表分数,无需手动重复测量。