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首页> 外文期刊>Quality of life research: An international journal of quality of life aspects of treatment, care and rehabilitation >Mapping scores from the Strengths and Difficulties Questionnaire (SDQ) to preference-based utility values
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Mapping scores from the Strengths and Difficulties Questionnaire (SDQ) to preference-based utility values

机译:将优势和困难问卷(SDQ)的得分映射到基于偏好的效用值

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Purpose Quality of life mapping methods such as "Transfer to Utility" can be used to translate scores on disease-specific measures to utility values, when traditional utility measurement methods (e.g. standard gamble, time trade-off, preference-based multi-attribute instruments) have not been used. The aim of this study was to generate preliminary ordinary least squares (OLS) regression-based algorithms to transform scores from the Strengths and Difficulties Questionnaires (SDQ), a widely used measure of mental health in children and adolescents, to utility values obtained using the preference-based Child Health Utility (CHU9D) instrument. Methods Two hundred caregivers of children receiving community mental health services completed the SDQ and CHU9D during a telephone interview. Two OLS regressions were run with the CHU9D utility value as the dependent variable and SDQ subscales as predictors. Resulting algorithms were validated by comparing predicted and observed group mean utility values in randomly selected subsamples.
机译:目的当传统的效用度量方法(例如标准赌博,时间权衡,基于偏好的多属性工具)时,可以使用诸如“转移到效用”之类的生活质量映射方法将特定疾病的评分转换为效用值。 )尚未使用。这项研究的目的是生成基于初步普通最小二乘(OLS)回归的算法,以将优势和困难问卷(SDQ)(一种广泛用于儿童和青少年心理健康的衡量指标)的得分转换为使用基于偏好的儿童健康实用程序(CHU9D)仪器。方法在电话采访中,接受社区精神卫生服务的200名儿童的照护者完成了SDQ和CHU9D。运行了两个OLS回归,其中CHU9D效用值作为因变量,SDQ子量表作为预测变量。通过比较随机选择的子样本中的预测值和观察到的组平均效用值来验证所得算法。

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