Computerized Adaptive Testing - Depression Inventory

描述（由申请人提供）：本研究的目的是开发和评估评估抑郁症的计算机化自适应测试程序和算法。在最初的研究中，我们证明了项目反应理论（IRT）和计算机化自适应测试（CAT）在开发和管理大型（626项）心理健康评定量表中的可行性。使用626个情绪和焦虑障碍症状条目的题库，我们发现(a)题库中的大多数条目（90%）可以区分高低程度的情绪障碍，(b)双因素IRT模型在解释症状域内项目的聚类方面做得很好，(c)平均而言，CAT测试的管理导致给个体受试者的项目数量减少95%（626个项目中有24个使用模拟CAT测试，31个项目用于实时CAT测试），并且(d)基于CAT的损害评级与基于所有626个项目的得分之间的相关性为r=0.93。基于这些非常令人鼓舞的初步结果，这项竞争性更新建议使用IRT和CAT来开发CAT抑郁量表（CAT- di）。更新的具体目标是(1)通过从大约100个现有的抑郁症量表和以前确定为PROMIS网络一部分的抑郁症项目中收集项目来创建抑郁症题库，(2)使用各种IRT模型（一维，双因素，多维）校准抑郁症题库，使用平衡不完全块（BIB）设计，对800名抑郁症患者和200名非抑郁症对照组进行管理。(3)获得300名受试者（200名抑郁，100名非抑郁）的新样本，该样本取库中所有项目，进行模拟CAT，并优化CAT的调优参数；(4)获得300名受试者（200名抑郁，100名非抑郁）的新样本进行实时CAT测试；(5)将最终的CAT-DI应用于社区样本的700名患者（约200名符合重性抑郁症- MOD标准的患者），以测试有效性（有和没有MOD的患者的损伤估计比较），预测MOD，并建立患者筛查的规范范围；(6)对来自行为健康诊所的患者进行20次认知访谈，这些患者将CAT-DI作为定性研究方法进行beta测试。

DESCRIPTION (provided by applicant): The aim of this investigation is to develop and evaluate computerized adaptive testing programs and algorithms for the assessment of depression. In the original study we demonstrated the feasibility of item response theory (IRT), and computerized adaptive testing (CAT) in the development and administration of a large (626 item) mental health rating scale. Using an item bank of 626 mood and anxiety disorder symptom items, we found that (a) the majority of the items in the item bank (90%) were discriminating of high and low levels of mood disorders, (b) the bi-factor IRT model did an excellent job of accounting for the clustering of items within symptom domains, (c) on average, CAT administration of the test resulted in a 95% reduction in the number of items administered to an individual subject (24 out of 626 items using simulated CAT and 31 items for live CAT testing), and (d) the correlation between the CAT based impairment rating and the score based on all 626 items was r=0.93. Based on these very encouraging preliminary results, this competitive renewal proposes to use IRT and CAT to develop a CAT Depression Inventory (CAT-DI). The specific objectives of the renewal are (1) create a depression item bank by collecting items from a review of approximately 100 existing depression scales and depression items previously identified as a part of the PROMIS network, (2) calibrate the depression item bank using a variety of IRT models (unidimensional, bi-factor, multidimensional) using a balanced incomplete blocks (BIB) design administered to 800 depressed patients and 200 non-depressed controls, (3) obtain a new sample of 300 subjects (200 depressed, 100 non-depressed) that take all of the items in the bank, perform a simulated CAT, and optimize the tuning parameters of the CAT, (4) obtain a new sample 300 subjects (200 depressed, 100 non- depressed) for live CAT testing, (5) apply the final CAT-DI to a community sample of 700 patients (approximately 200 meeting criteria for major depressive disorder - MOD) to test validity (comparison of impairment estimates in patients with and without MOD), predicting MOD, and establishing normative ranges for patient screening, and (6) conduct 20 cognitive interviews of patients from a behavioral health clinic who have taken the CAT-DI as a qualitative research approach to beta-testing of the instrument.