A logic model for community engagement within the Clinical and Translational Science Awards consortium: can we measure what we model?
A logic model for community engagement within the Clinical and Translational Science Awards consortium: can we measure what we model?
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DOI：
10.1097/acm.0b013e31829b54ae
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发表时间：
2013-10
期刊：
影响因子：
--
通讯作者：
Wallerstein N
中科院分区：
文献类型：
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作者：
Eder MM;Carter-Edwards L;Hurd TC;Rumala BB;Wallerstein N
临床翻译科学奖（CTSA）倡议呼吁学术健康中心围绕最终在公共卫生方面衡量的临床研究关系参与社区。在一些涉及大学促进公共利益的责任的举措中，一个小型的CTSA设计了一个社区参与（CE）的逻辑模型，在大学社区基础设施内组织共同活动，以促进社区参与研究。虽然该模型侧重于机构CE投入的范围，但它故意不包括评估社区参与如何影响研究实施和成果的方法。相反，随着社区和个人开始转变为新的研究角色，本文强调通过特定的关系类型研究社区参与，并评估扩大的研究团队如何为翻译科学的全方位做出贡献。作者提出了一个类型学，包括三种关系类型的参与，合作和共享的领导，调查社区学术贡献的新CTSA研究范式提供了一个基础。这种类型将注意力从具体的社区学术活动转移，而是鼓励通过协同作用和信任等变量来衡量关系的强度。CE关系的合作研究将有助于理解CTSA基础设施的发展，以支持转化研究及其目标，这在逻辑模型中表示：更好的科学，更好的答案，更好的人口健康。
The Clinical Translation Science Award (CTSA) initiative calls upon academic health centers to engage communities around a clinical research relationship measured ultimately in terms of public health. Among a few initiatives involving university accountability for advancing public interests, a small CTSA workgroup devised a community engagement (CE) logic model that organizes common activities within a university-community infrastructure to facilitate community engagement in research. While the model focuses on the range of institutional CE inputs, it purposefully does not include an approach for assessing how community engagement influences research implementation and outcomes. Rather, with communities and individuals beginning to transition into new research roles, this article emphasizes studying community engagement through specific relationship types and assessing how expanded research teams contribute to the full spectrum of translational science. The authors propose a typology consisting of three relationship types—engagement, collaboration and shared leadership—to provide a foundation for investigating community–academic contributions to the new CTSA research paradigm. The typology shifts attention from specific community–academic activities and, instead, encourages analyses focused on measuring the strength of relationships through variables like synergy and trust. The collaborative study of CE relationships will inform an understanding of CTSA infrastructure development in support of translational research and its goal, which is expressed in the logic model: better science, better answers, better population health.