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开发并基于社区验证了 8 个项目库,以评估心理健康。

Development and community-based validation of eight item banks to assess mental health.

机构信息

Centre for Mental Health Research, Research School of Population Health, The Australian National University, Canberra, Australia.

NHMRC Centre of Research Excellence in Mental Health and Substance Use, University of New South Wales, Sydney, Australia.

出版信息

Psychiatry Res. 2016 Sep 30;243:453-62. doi: 10.1016/j.psychres.2016.07.011. Epub 2016 Jul 5.

DOI:10.1016/j.psychres.2016.07.011
PMID:27500552
Abstract

There is a need for precise but brief screening of mental health problems in a range of settings. The development of item banks to assess depression and anxiety has resulted in new adaptive and static screeners that accurately assess severity of symptoms. However, expansion to a wider array of mental health problems is required. The current study developed item banks for eight mental health problems: social anxiety disorder, panic disorder, post-traumatic stress disorder, obsessive-compulsive disorder, adult attention-deficit hyperactivity disorder, drug use, psychosis and suicidality. The item banks were calibrated in a population-based Australian adult sample (N=3175) by administering large item pools (45-75 items) and excluding items on the basis of local dependence or measurement non-invariance. Item Response Theory parameters were estimated for each item bank using a two-parameter graded response model. Each bank consisted of 19-47 items, demonstrating excellent fit and precision across a range of -1 to 3 standard deviations from the mean. No previous study has developed such a broad range of mental health item banks. The calibrated item banks will form the basis of a new system of static and adaptive measures to screen for a broad array of mental health problems in the community.

摘要

在各种环境中,都需要对心理健康问题进行精确但简洁的筛查。为了评估抑郁和焦虑,人们开发了项目库,这促成了新的适应性和静态筛查工具,可以准确评估症状的严重程度。但是,还需要进一步扩展到更广泛的心理健康问题。本研究开发了针对八种心理健康问题的项目库:社交焦虑障碍、恐慌症、创伤后应激障碍、强迫症、成人注意缺陷多动障碍、药物使用、精神病和自杀倾向。通过对基于人群的澳大利亚成年样本(N=3175)进行大型项目池(45-75 项)的测试,以及根据本地依赖或测量不变性排除项目,对项目库进行了校准。使用双参数等级反应模型对每个项目库的项目反应理论参数进行了估计。每个项目库由 19-47 个项目组成,在距平均值-1 到 3 个标准差的范围内,具有极好的拟合度和精度。以前没有研究开发过如此广泛的心理健康项目库。经过校准的项目库将成为一种新的静态和自适应测量系统的基础,用于在社区中筛查广泛的心理健康问题。

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