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缩短 PHQ-9:利用随机删减作为构建超短筛查工具的原理验证研究。

Shortening the PHQ-9: a proof-of-principle study of utilizing Stochastic Curtailment as a method for constructing ultrashort screening instruments.

机构信息

Department of Clinical Psychology and Department of Methods, Faculty of Psychology and Education, VU University, Amsterdam, the Netherlands.

Tufts Clinical and Translational Science Institute, Tufts University and Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, USA.

出版信息

Gen Hosp Psychiatry. 2015 Sep-Oct;37(5):464-9. doi: 10.1016/j.genhosppsych.2015.04.011. Epub 2015 May 14.

Abstract

OBJECTIVE

In primary care, screening instruments for mental health should be ultrashort to allow for routine usage. In this paper, Stochastic Curtailment is introduced as a method for constructing ultrashort screeners.

METHOD

In a post hoc diagnostic accuracy study using the item scores on the Patient Health Questionnaire depression module (PHQ-9) of a large sample (N=20, 685), Stochastic Curtailment was compared with two existing ultrashort versions of PHQ-9. The first was PHQ-2 (which includes the first two items of PHQ-9), and the second was a 'two-step' method (only if the PHQ-2 screened positive were all nine PHQ items administered). For PHQ-2 and two-step, both cut scores 2 and 3 were evaluated.

RESULTS

PHQ-2 showed the lowest and Stochastic Curtailment the highest diagnostic accuracy with reference to the classifications based on the full PHQ-9. To do so, Stochastic Curtailment used 3.08 items on average (S.D.=1.98), which was slightly less than two-step (M=3.18, S.D.=2.62) under its most accurate cut score (≥2).

CONCLUSIONS

It was concluded that Stochastic Curtailment is a promising method for constructing ultrashort screeners.

摘要

目的

在初级保健中,用于心理健康的筛查工具应该非常简短,以便于常规使用。本文介绍了随机截断法作为构建超短筛查工具的一种方法。

方法

在一项基于大样本(N=20,685)的患者健康问卷抑郁模块(PHQ-9)项目得分的事后诊断准确性研究中,随机截断法与 PHQ-9 的两种现有超短版本进行了比较。第一种是 PHQ-2(包含 PHQ-9 的前两个项目),第二种是“两步法”(只有当 PHQ-2 筛查阳性时才会进行所有九个 PHQ 项目的测试)。对于 PHQ-2 和两步法,都评估了截距分数 2 和 3。

结果

PHQ-2 的诊断准确性最低,而随机截断法最高,参考基于完整 PHQ-9 的分类。为了做到这一点,随机截断法平均使用了 3.08 个项目(标准差=1.98),略低于两步法(最准确的截断分数(≥2)时,平均值为 3.18,标准差为 2.62)。

结论

结论是随机截断法是构建超短筛查工具的一种很有前途的方法。

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