A manic-depressive symptom self-report in optical scanable format
A manic-depressive symptom self-report in optical scanable format
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DOI：
10.1034/j.1399-5618.2003.00043.x
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发表时间：
2003-10-01
影响因子：
5.4
通讯作者：
Bauer, MS
中科院分区：
文献类型：
--
作者：
Glick, HA;McBride, L;Bauer, MS
简介：内部状态量表（ISS）是一种自我报告工具，可以同时评估躁狂抑郁症患者的躁狂和抑郁症状。先前的工作表明，分量表与临床医生对躁狂和抑郁的评分高度相关，并提供识别处于躁狂/轻躁狂、混合、抑郁和情绪正常状态的个体的判别功能。 ISS 的一个缺点是其项目是以视觉模拟量表 (VAS) 格式开发的，这种评分方式需要大量劳动，特别是在重复（例如每天）管理时。基于 Likert 的格式可以实现快速、简单的光学扫描，从而可以自动进行评分。 方法：为了比较 Likert 与 VAS 格式的区分属性，我们重新分析了之前收集的数据并收集了新数据：(a) 通过将分数折叠成 20 个然后是 10 个基于 Likert 的分箱来重新分析来自先前四中心研究的 86 名受试者的基于 VAS 的 ISS 分数，以评估折叠分数造成的精度损失，以及 (b)另外 24 名受试者接受了 VAS 和 Likert 格式的 ISS，以评估由于仪器完成因素导致的精度损失。结果：两种格式的判别能力，包括 kappas 和接收器操作员特征曲线，没有变化。各种格式的受试者内可靠性一致较高。结论：可以使用基于 Likert 的 ISS 评分而不会损失精度，从而使 ISS 的自动评分变得可行。这种格式对于需要处理大量国际空间站的研究特别有用，例如那些长期收集频繁评级的研究和/或利用大样本的研究。
Introduction: The Internal State Scale (ISS) is a self-report instrument that allows the simultaneous assessment of both manic and depressive symptoms in individuals with manic-depressive disorder. Prior work indicates that subscales are highly correlated with clinician ratings of mania and depression and provide a discriminant function that identifies individuals in manic/hypomanic, mixed, depressed, and euthymic mood states. A drawback to the ISS is that its items were developed in the visual analogue scale (VAS) format which is labor-intensive to score, particularly with repeat (e.g. daily) administration. A Likert-based format would allow quick and easy optical scanning for which scoring could be automated.Methods: To compare discriminating properties in Likert versus VAS format we re-analyzed previously collected data and collected new data: (a) VAS-based ISS scores from 86 subjects from a prior four-site study were re-analyzed by collapsing scores into 20 and then 10 Likert-based bins to assess loss of precision from collapsing scores, and (b) 24 additional subjects were administered the ISS in VAS and Likert formats to assess loss of precision due to instrument completion factors.Results: Discriminant ability, including kappas and receiver operator characteristic curves, were unchanged across the two formats. Within-subjects reliability was uniformally high across formats.Conclusions: Likert-based scoring of the ISS can be used without loss of precision, thus making automated scoring of the ISS feasible. This format will be particularly useful for studies that require processing of large numbers of ISSs, such as those that collect frequent ratings over long periods of time and/or those that utilize large samples.