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使用交互式语音应答技术进行汉密尔顿抑郁量表评定。

Administration of the Hamilton Depression Rating Scale using interactive voice response technology.

作者信息

Mundt J C, Kobak K A, Taylor L V, Mantle J M, Jefferson J W, Katzelnick D J, Greist J H

机构信息

Dean Foundation for Health, Research, and Education, Middleton, WI 53562, USA.

出版信息

MD Comput. 1998 Jan-Feb;15(1):31-9.

PMID:9458661
Abstract

We compared the reliability and equivalence of scores on the Hamilton rating scale for depression obtained by an interactive voice response (IVR) system and by human raters among 367 subjects 18 to 79 years old. Structured clinical interviews indicated that 93 of these subjects met the DSM-IV criteria for current major depression. We also examined short forms using the IVR data. The results obtained with the long (17-item) IVR interview correlated with those of the face-to-face interview, as did the results of the short (six- and eight-item) IVR interviews. In a random sample of 264 subjects, linear transformations of IVR results produced scores equivalent to clinical scores in the validation sample. We conclude that computerized assessment of the severity of depression by touch-tone telephone presents expanded opportunities for outcome research.

摘要

我们比较了交互式语音应答(IVR)系统和人工评分者在367名18至79岁受试者中获得的汉密尔顿抑郁评定量表评分的可靠性和等效性。结构化临床访谈表明,这些受试者中有93人符合当前重度抑郁症的DSM-IV标准。我们还使用IVR数据检查了简表。长版(17项)IVR访谈的结果与面对面访谈的结果相关,短版(6项和8项)IVR访谈的结果也是如此。在264名受试者的随机样本中,IVR结果的线性转换产生的分数与验证样本中的临床分数相当。我们得出结论,通过按键式电话对抑郁症严重程度进行计算机化评估为结局研究提供了更多机会。

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