Ensuring Prevention Science Research is Synthesis-Ready for Immediate and Lasting Scientific Impact.
Ensuring Prevention Science Research is Synthesis-Ready for Immediate and Lasting Scientific Impact.
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确保预防科学研究是综合性的--为立即和持久的科学影响做好准备。
DOI：
10.1007/s11121-021-01279-8
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发表时间：
2022-07
期刊：
影响因子：
--
通讯作者：
McGuinness LA
中科院分区：
文献类型：
--
作者：
Hennessy EA;Acabchuk RL;Arnold PA;Dunn AG;Foo YZ;Johnson BT;Geange SR;Haddaway NR;Nakagawa S;Mapanga W;Mengersen K;Page MJ;Sánchez-Tójar A;Welch V;McGuinness LA
在寻求告知和改进预防工作和政策时，重要的是能够有力地综合所有现有证据。但是，证据来源往往是大量和异构的，因此，只有通过系统和全面的证据综合，才能理解什么是有效的，对谁有效，在什么情况下有效。许多障碍阻碍了全面的证据合成，导致干预有效性的可推广性不确定，包括：不准确的标题/摘要/关键词术语（阻碍文献检索工作）；研究方法报告不明确（导致对研究严谨性的不准确评估）；参与者的特征、结果和关键变量报告不佳（阻碍了总体效果的计算或效果修饰符的检查）。为了解决这些问题，并通过纳入证据综合来提高初级研究的覆盖面，我们提供了一套实用指南，以帮助预防科学家准备准备合成研究。我们以最近的一项正念试验作为实证例子，为讨论奠定基础，并展示了确保：(1)初步研究是可发现的；(2)具备合成所需的数据类型；(3)这些数据很容易综合。我们强调了一些可以帮助作者完成这些工作的工具和实践，例如使用数据驱动的方法来制作标题、摘要和关键字，或者通过为每个项目创建存储库来托管所有与研究相关的数据文件。我们还为标准化数据设计和公共存档提供逐步指导和软件建议，以促进合成就绪的研究。
When seeking to inform and improve prevention efforts and policy, it is important to be able to robustly synthesize all available evidence. But evidence sources are often large and heterogeneous, so understanding of what works, for whom, and in what contexts, can only be achieved through a systematic and comprehensive synthesis of evidence. Many barriers impede comprehensive evidence synthesis, which leads to uncertainty about the generalizability of intervention effectiveness, including: inaccurate titles/abstracts/keywords terminology (hampering literature search efforts); ambiguous reporting of study methods (resulting in inaccurate assessments of study rigor); and poorly reported participant characteristics, outcomes, and key variables (obstructing the calculation of an overall effect or the examination of effect modifiers). To address these issues and improve the reach of primary studies through their inclusion in evidence syntheses, we provide a set of practical guidelines to help prevention scientists prepare synthesis-ready research. We use a recent mindfulness trial as an empirical example to ground the discussion and demonstrate ways to ensure: (1) primary studies are discoverable; (2) the types of data needed for synthesis are present; and (3) these data are readily synthesizable. We highlight several tools and practices that can aid authors in these efforts, such as using a data-driven approach for crafting titles, abstracts, and keywords or by creating a repository for each project to host all study-related data files. We also provide step-by-step guidance and software suggestions for standardizing data design and public archiving to facilitate synthesis-ready research.
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影响因子：
2.5
作者：
Grant S;Mayo-Wilson E;Montgomery P;Macdonald G;Michie S;Hopewell S;Moher D;, on behalf of the CONSORT-SPI Group
通讯作者：
, on behalf of the CONSORT-SPI Group
影响因子：
12.6
作者：
Frankenhuis, Willem E.;Nettle, Daniel
通讯作者：
Nettle, Daniel
影响因子：
2.9
作者：
Borah R;Brown AW;Capers PL;Kaiser KA
通讯作者：
Kaiser KA
影响因子：
3.7
作者：
Christensen, Garret;Dafoe, Allan;Rose, Andrew K.
通讯作者：
Rose, Andrew K.
影响因子：
19
作者：
Abbott, Sam;Christensen, Hannah;Brooks-Pollock, Ellen
通讯作者：
Brooks-Pollock, Ellen