Component-Based Evaluation of Complex Interventions with Network Meta-Analysis

有几个组成部分的复杂干预措施需要进行临床和卫生保健研究。迫切需要新的统计方法来评估这类干预措施，以便能够评估单一组成部分的效力并设计最有效的干预措施。该项目的目标是为复杂干预措施的以组成部分为基础的评价制定一个总体框架。将在系统的文献分析的基础上确定一个概念框架，以确定基于组成部分的评价的应用领域、可能性和局限性。随后，将制定一个统计框架，该框架强烈地涉及到所谓的网络荟萃分析的发展。这一框架将在一项评估慢性抑郁症患者心理治疗干预效果的研究的重新分析中得到检验。该项目预计将大大扩大卫生服务研究和复杂干预措施评估的方法学范畴。

Complex interventions with several components are subject to clinical and health care research. New statistical methods to evaluate such interventions are urgently needed in order to be able to assess the efficacy of single components and design the most effective intervention. The objective of this project is to develop a general framework for the component-based evaluation of complex interventions. A conceptual framework will be defined on the basis of a systematic literature analysis in order to determine application areas, possibilities, and limits of a component-based evaluation. Subsequently, a statistical framework will be formulated which refers strongly to the development of the so-called network meta-analysis. This framework will be tested in the re-analysis of a study assessing the efficacy of psychotherapeutic interventions for chronically depressed patients. This project is expected to substantially enlarge the methodological repertoire of health services research and the evaluation of complex interventions.