Modifying MET for use with ASI data

修改 MET 以与 ASI 数据一起使用

• 批准号: 6665461
• 负责人: DOUGLAS MICHAEL ZIEDONIS
• 金额: $ 23.33万
• 依托单位: UNIV OF MED/DENT NJ-R W JOHNSON MED SCH
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-25 至 2006-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6665461
• 关键词: behavior therapy; behavioral /social science research tag; clinical research; community; computer program /software; computer system design /evaluation; counseling; drug abuse therapy; drug addiction; human subject; human therapy evaluation; motivation; patient oriented research; substance abuse related behavior

DESCRIPTION (provided by applicant): Although Motivational Enhancement Therapy (MET) has emerged as one of the cornerstones of addiction psychosocial treatments, this approach is rarely used by community-based, addiction clinicians. A major barrier to using MET is the fact that the Personalized Feedback component of MET is not community-friendly. Current MET Feedback tools can be complex and require the use of multiple research instruments not used by clinicians, are available only for a single drug problem, and lack normative feedback for drug abuse. We will address these three problems in the First phase of this NIDA Stage I a/b therapy development grant by developing and pilot testing a computer-assisted MET (C-MET) intervention. C-MET will provide clinicians with Personalized Feedback for multiple-drug problems, be based on data from the Addiction Severity Index (ASI), and provide normative data for specific drug problems based on a large ASI database. C-MET is designed for the common community-based clinical problem of poly-drug abuse. Because MET is believed to contain two active ingredients (Personalized Feedback and Motivational Interviewing), a simplified Personalized Feedback (PF) only approach will also be developed and piloted to teach clinicians how to deliver Personalized Feedback alone without MI. In the Second phase of this grant (Stage lb phase) we will then compare the relative efficacy of our C-MET and PF approaches by comparing 4 weeks of C-MET vs. PF vs. Individual Drug Counseling (IDC). This will also serve as a dismantling study that disentangles the effects of Feedback and MI, as well as an opportunity to assess our products, the feasibility of training clinicians in this new approach and its relative effectiveness. Overall this study will facilitate the integration of MET into the community by addressing poly-drug abuse, simplifying MET with computerized Feedback Reports, and assessing whether Personalized Feedback alone can adequately enhance patient engagement and retention without the extensive training requirements for clinicians to adhere and be competent in MI.

描述（由申请人提供）： 虽然动机增强疗法（MET）已成为成瘾心理社会治疗的基石之一，但这种方法很少被社区成瘾临床医生使用。使用MET的一个主要障碍是MET的个性化反馈组件对社区不友好。目前的MET反馈工具可能很复杂，需要使用临床医生不使用的多种研究工具，仅适用于单一药物问题，并且缺乏药物滥用的规范反馈。我们将在NIDA第一阶段a/B治疗开发补助金的第一阶段通过开发和试点测试计算机辅助MET（C-MET）干预来解决这三个问题。C-MET将为临床医生提供多种药物问题的个性化反馈，基于成瘾严重程度指数（ASI）的数据，并基于大型ASI数据库为特定药物问题提供规范性数据。C-MET是针对社区常见的多种药物滥用临床问题而设计的。由于MET被认为包含两种有效成分（个性化反馈和动机性访谈），因此还将开发并试行一种简化的仅个性化反馈（PF）方法，以指导临床医生如何在没有MI的情况下单独提供个性化反馈。在该资助的第二阶段（阶段Ib阶段），我们将通过比较4周的C-MET与PF与个体药物咨询（IDC）来比较我们的C-MET和PF方法的相对功效。这也将作为一个拆解研究，解开反馈和MI的影响，以及一个机会来评估我们的产品，培训临床医生在这种新方法的可行性及其相对有效性。总体而言，本研究将通过解决多种药物滥用问题、使用计算机化反馈报告简化MET以及评估单独的个性化反馈是否能够充分提高患者参与度和保留率，而无需对临床医生进行广泛的培训要求，以使其能够坚持并胜任MI，从而促进MET融入社区。