Measurement of Recovery from Drug Addiction LC

项目总结/摘要 随着人们日益认识到吸毒成瘾的长期复发性质， 旨在促进以康复为导向的护理系统的重新设计和发展，以支持持续的 复苏显然需要开发一种全面的衡量工具， 复苏的多维性。同时，认识到项目反应理论的巨大优势， (IRT)在行为研究界迅速发展本项目的目标是使用IRT 帮助开发、评估和提供恢复措施的初始有效性证据。为了实现这一目标， 我们将对国家药物滥用治疗结果研究中收集的数据进行二次分析 (i.e.,包括成人患者的DATOS和包括青少年患者的DATOS-A）， 一整套与复苏有关的措施。该项目围绕三个具体目标展开。我们 将应用IRT方法筛选和识别可以增强恢复测量的潜在项目 从DATOS的现有措施库中（目标1）。我们将调查潜在的测量非- 在按性别或年龄定义的亚组中，开发的恢复量表具有不变性（目标2）。我们还将 通过纵向数据分析获得开发的恢复量表的初步有效性证据（目标3）。的 最先进的IRT方法的应用将导致心理测量学上的恢复措施， 健全，形成一个坚实的基础，可以不断改进。此外，项目反应理论的应用 解决成瘾研究中的测量问题不仅是实质性的创新，而且会导致 方法学进步的重大机会也是如此。综上所述，我们认为， 这项研究有可能为药物成瘾研究、治疗和 评价，并在行为测量IRT方法。

Project Summary/Abstract With an increased recognition of the chronic relapsing nature of drug addiction, national efforts are being made to foster the redesign and development of recovery-oriented system of care in order to support sustained recovery. There is a clear need to develop a comprehensive measurement tool that captures the multidimensionality of recovery. Meanwhile, awareness of the enormous advantages of Item Response Theory (IRT) is growing rapidly in the behavioral research community. The goal of this proposed project is to use IRT to help develop, evaluate, and provide initial validity evidence for a measure of recovery. To achieve this goal, we will conduct secondary analyses on data collected in the national Drug Abuse Treatment Outcome Studies (i.e., DATOS that includes adult patients, and DATOS-A that includes adolescent patients) which contain a comprehensive set of measures pertinent to recovery. The project is organized around three specific aims. We will apply IRT methods to screen and identify potential items that can enhance the measurement of recovery from the existing pool of measures in DATOS (Aim 1). We will investigate potential measurement non- invariance in the developed recovery scale across subgroups defined by gender or age (Aim 2). We will also obtain initial validity evidence of the developed recovery scale via longitudinal data analysis (Aim 3). The application of the state-of-the-art IRT methodology will lead to a recovery measure that is psychometrically sound, forming a solid foundation that can be continuously improved upon. In addition, the application of IRT to solve measurement problems in addiction research is not only substantively innovative, but would lead to significant opportunities for methodological advancements as well. Taken together, we believe the proposed study has the potential for making significant unique contributions to drug addiction research, treatment and evaluation, and to the IRT methodology in behavioral measurement.