权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Technical, Relational, & Conditional Process Models of MI Efficacy: Meta-Analysis

技术性、关系性、

基本信息

批准号：
9020920
负责人：
Molly Magill
金额：
$ 19.15万
依托单位：
BROWN UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-03-01 至 2018-02-28
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9020920
关键词：
Accounting Address Affect Alcohol consumption Area Behavior Behavior Therapy Behavioral Client Clinical Code Data Data Correlations Data Set Databases Effectiveness Empathy Evidence based intervention Future Guidelines Health Individual Intervention Knowledge Lead Measurement Measures Mediation Meta-Analysis Methods Modeling Motivation National Institute on Alcohol Abuse and Alcoholism Outcome Outcome Study Outcomes Research Pathway interactions Process Psychometrics Public Health Publishing Readiness Research Resistance Review Literature Rosa Sampling Sampling Studies Sea Series Testing Theoretical model Therapeutic Time Treatment Efficacy Work addiction alcohol abuse therapy alcohol use disorder base behavior change evidence base follow-up interest motivational enhancement therapy motivational processes skills theories treatment responders

项目摘要

DESCRIPTION (provided by applicant): This R21 application responds to PAR-14-053. Research examining the theoretical models proposed by treatment developers is a valuable approach to enhancing the impact of existing evidence-based behavioral addictions treatments (Magill & Longabuagh, 2013). The intent is to empirically-derive the causal processes that are responsible for treatment benefit, and the result is identification of: 1) key therapeutic behavior, 2) skill proficiency thresholds, 3) key proximal client outcomes, and 4) the conditions under which these principles are most operative (i.e., conditional process models). Motivational interviewing (MI) is arguably the most important behavioral treatment upon which to conduct this kind of research. Recently, Magill and colleagues (Magill et al., 2013; MS under revise/resubmission) conducted a meta-analysis of studies testing specific pathways of the Technical Model of MI Efficacy as proposed by Miller and Rose (2009). While this research contributes to an emerging picture of how MI affects behavior change, an additional, more comprehensive meta-analytic study is needed to test the full theoretical framework, to identify conclusively which causal pathways have support, under what conditions, and which, if any, require major theoretical revision. The proposed project will address this aim not only with a larger sample of primary studies, but also with a database comprised of raw, rather than published and available, data. The Project will first compile a comprehensive dataset of bivariate correlations for fulfillment of all scientific aims. Next, it will test the Technical, Relational, nd a series of conditional process models (e.g., by client and treatment implementation factors) of MI efficacy at an aggregate, meta-analytic level. Finally, this large-scale, primary study dataset wil enable an exploratory, psychometric assessment of observationally-rated, within-session summary scores as well as individual therapist and client behavior codes. The breadth of findings from this study will inform the following three key areas of the MI evidence base: a) clinical guidelines for MI implementation, b) knowledge on MI causal theory, and c) empirically-derived measurement guidelines for future MI process research.

描述（由申请人提供）：此 R21 申请响应 PAR-14-053。对治疗开发者提出的理论模型进行研究是增强现有循证行为成瘾治疗影响的一种有价值的方法（Magill & Longabuagh，2013）。目的是根据经验推导导致治疗益处的因果过程，结果是确定：1）关键治疗行为，2）技能熟练程度阈值，3）关键的近端客户结果，4）这些原则最有效的条件（即条件过程模型）。动机访谈（MI）可以说是进行此类研究的最重要的行为治疗方法。最近，Magill 及其同事（Magill 等人，2013 年；MS 正在修订/重新提交）对测试 MI 功效技术模型特定途径的研究进行了荟萃分析，如 Miller 和 Rose（2009 年）提出的那样。虽然这项研究有助于人们对 MI 如何影响行为改变有了新的了解，但还需要进行一项额外的、更全面的荟萃分析研究来测试完整的理论框架，以最终确定哪些因果路径在什么条件下得到支持，以及哪些因果路径（如果有的话）需要重大理论修正。拟议的项目不仅将通过更大的初步研究样本来实现这一目标，而且还将通过一个由原始数据（而不是已发布的和可用的数据）组成的数据库来实现这一目标。该项目将首先编译一个全面的双变量相关性数据集，以实现所有科学目标。接下来，它将在聚合、荟萃分析水平上测试 MI 疗效的技术、关系和一系列条件过程模型（例如，通过客户和治疗实施因素）。最后，这个大规模的主要研究数据集将能够对观察评级、疗程内总结分数以及个体治疗师和客户行为准则进行探索性心理测量评估。这项研究的广泛发现将为 MI 证据基础的以下三个关键领域提供信息：a）MI 实施的临床指南，b）MI 因果理论知识，以及 c）未来 MI 过程研究的经验得出的测量指南。