Development of an abbreviated schizophrenia Quality of Life Sale using a new method
Development of an abbreviated schizophrenia Quality of Life Sale using a new method
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DOI：
10.1038/sj.npp.1300093
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发表时间：
2003-04-01
影响因子：
7.6
通讯作者：
Gur, RE
中科院分区：
文献类型：
--
作者：
Bilker, WB;Brensinger, C;Gur, RE
该研究的目的是开发和应用预测模型方法，以减少为产生总汇总分数的量表收集的项目数量。采用统计学建模方法，对198例精神分裂症患者的21项生活质量量表（QLS）进行了评估。另外两个数据集用于模型验证：模型构建中使用的约1年后接受QLS给药的101例患者子集和37例患者的新样本。仅使用7个QLS项目作为预测因子，预测和真实QLS总数之间的相关性为0.9831。应用基于这七个QLS项目的模型，来自第一和第二验证数据集的相关性分别为0.9791和0.9637，该研究表明，QLS的一小部分项目以高精度预测整个21项量表。两个验证样品证实了这一发现。这减少了与秤管理相关的工作，并且可能增加对重要功能域的评估。这些模型可以指导其他评级工具中的项目缩减工作。
The goal of the study was to develop and apply a predictive model approach to reduce the number of items collected for scales that yield a total summary score. A parsimonious subset of items frorn the 21-item Quality of Life Scale (QLS) that can accurately predict the total scale score was sought and evaluated in 198 patients with schizophrenia, using a statistical modeling approach. Two additional data sets were used for model validation: the subset of 101 patients used in the model construction who had the QLS administered approximately 1 year later and a new sample of 37 patients. Using only seven QLS items as predictors, the correlation was 0.9831 between the predicted and true QLS totals. Applying the model based for these seven QLS items, the correlations from the first and second validation data sets were 0.9791 and 0.9637, respectively, The study demonstrates that a small subset of items of the QLS predicts the entire 21-item scale with high accuracy. Two validation samples have confirmed the finding. This reduces the effort associated with scale administration and is likely to increase the assessment of an important functional domain. Such models can guide efforts for item reduction in other rating instruments.