Modifying MET for use with ASI data

修改 MET 以与 ASI 数据一起使用

• 批准号: 6785951
• 负责人: DOUGLAS MICHAEL ZIEDONIS
• 金额: $ 23.61万
• 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/6785951
• 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）：尽管动机增强疗法（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，需要使用临床医生未使用的多种研究仪器，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 I 期 a/b 治疗开发资助的第一阶段通过开发和试点测试计算机辅助 MET (C-MET) 干预措施来解决这三个问题。 C-MET 将为临床医生提供针对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 数据库提供特定药物问题的规范数据。 C-MET 专为解决基于社区的多种药物滥用的常见临床问题而设计。由于 MET 被认为包含两种活性成分（个性化反馈和动机访谈），因此还将开发和试点一种简化的仅个性化反馈 (PF) 方法，以教导临床医生如何在没有 MI 的情况下单独提供个性化反馈。在本次资助的第二阶段（第 lb 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 C-MET 和 PF 方法的相对功效。这也将作为一项拆解研究，阐明反馈和 MI 的影响，以及评估我们的产品、培训临床医生这种新方法的可行性及其相对有效性的机会。总体而言，这项研究将通过解决多种药物滥用问题、通过计算机化反馈报告简化 MET 以及评估仅个性化反馈是否可以充分提高患者的参与度和保留率，而无需对临床医生进行广泛的培训来坚持和胜任 MI，从而促进 MET 融入社区。