Towards a methodology for cluster searching to provide conceptual and contextual "richness" for systematic reviews of complex interventions: case study (CLUSTER).

Towards a methodology for cluster searching to provide conceptual and contextual "richness" for systematic reviews of complex interventions: case study (CLUSTER).
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DOI:
10.1186/1471-2288-13-118
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发表时间:
2013-09-28
影响因子:
4
通讯作者:
Wilkins E
Wilkins E
中科院分区:
医学3区
文献类型:
--
作者:
Booth A;Harris J;Croot E;Springett J;Campbell F;Wilkins E

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可以利用系统评价方法来帮助研究人员理解和解释复杂的干预措施如何发挥作用。通常,在审查复杂的干预措施时,审查小组将寻求了解支持干预措施的理论以及该干预措施的具体背景。研究项目的单个已发布报告通常不包含所需的详细程度。审查小组可能会发现检查“研究集群”更有用;一组相关论文,探索和解释单个项目的各种特征,从而提供与理论和/或背景相关的必要细节。我们试图从单个案例研究回顾中对识别一组相关研究报告所需的技术进行初步调查,记录这些方法的成果,并概述聚类搜索的系统方法。在对社区参与的系统审查中,我们确定了一个相关项目——男同性恋特别工作组。从单个“关键珍珠引文”中,我们进行了一系列相关搜索,以找到上下文或理论上相似的文档。我们追踪引文,追踪主要作者,确定未发表的材料,搜索谷歌学术,追踪理论,对早期例子进行祖先搜索,并追踪相关项目(体现在集群助记符中)。我们的结构化、形式化的聚类搜索程序识别出有用的报告,这些报告通常不会从书目数据库的基于主题的搜索中识别出来。随后发现先前被初步筛选拒绝的项目可以帮助我们理解基础理论(例如创新扩散理论)、背景或两者。相关材料包括书籍章节、基于网络的过程评估以及具有共同祖先的项目的同行评审报告。我们利用这些报告来了解干预的背景,并探讨其相对缺乏成功的原因。其他数据帮助我们挑战对目标人群同质性的简单化假设。单个案例研究表明聚类搜索的潜在效用,特别是对于依赖于上下文理解的评论,例如现实主义综合。该方法透明、明确且可重复。没有理由相信聚类搜索不能推广到其他评论主题。进一步的研究应该检验该方法除了提高产量之外对最终合成和解释的贡献,可能通过利用定性敏感性分析。
Systematic review methodologies can be harnessed to help researchers to understand and explain how complex interventions may work. Typically, when reviewing complex interventions, a review team will seek to understand the theories that underpin an intervention and the specific context for that intervention. A single published report from a research project does not typically contain this required level of detail. A review team may find it more useful to examine a “study cluster”; a group of related papers that explore and explain various features of a single project and thus supply necessary detail relating to theory and/or context. We sought to conduct a preliminary investigation, from a single case study review, of techniques required to identify a cluster of related research reports, to document the yield from such methods, and to outline a systematic methodology for cluster searching. In a systematic review of community engagement we identified a relevant project – the Gay Men’s Task Force. From a single “key pearl citation” we conducted a series of related searches to find contextually or theoretically proximate documents. We followed up Citations, traced Lead authors, identified Unpublished materials, searched Google Scholar, tracked Theories, undertook ancestry searching for Early examples and followed up Related projects (embodied in the CLUSTER mnemonic). Our structured, formalised procedure for cluster searching identified useful reports that are not typically identified from topic-based searches on bibliographic databases. Items previously rejected by an initial sift were subsequently found to inform our understanding of underpinning theory (for example Diffusion of Innovations Theory), context or both. Relevant material included book chapters, a Web-based process evaluation, and peer reviewed reports of projects sharing a common ancestry. We used these reports to understand the context for the intervention and to explore explanations for its relative lack of success. Additional data helped us to challenge simplistic assumptions on the homogeneity of the target population. A single case study suggests the potential utility of cluster searching, particularly for reviews that depend on an understanding of context, e.g. realist synthesis. The methodology is transparent, explicit and reproducible. There is no reason to believe that cluster searching is not generalizable to other review topics. Further research should examine the contribution of the methodology beyond improved yield, to the final synthesis and interpretation, possibly by utilizing qualitative sensitivity analysis.
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