Moving knowledge into action for more effective practice, programmes and policy: protocol for a research programme on integrated knowledge translation
Moving knowledge into action for more effective practice, programmes and policy: protocol for a research programme on integrated knowledge translation
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DOI：
10.1186/s13012-017-0700-y
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发表时间：
2018-02-02
影响因子：
7.2
通讯作者：
McCutcheon, Chris
中科院分区：
文献类型：
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作者：
Graham, Ian D.;Kothari, Anita;McCutcheon, Chris
背景资料：开展卫生研究的期望是，它能增进知识，并最终转化为更好的卫生系统和人口健康。然而，研究结果往往陷入“知与行”的鸿沟：没有及时采取行动，或者根本不加以应用。集成知识翻译（IKT）是一种提高研究的相关性、适用性和影响力的方法。通过IKT，知识用户在整个研究过程中与研究人员合作，从确定研究问题开始。知识使用者代表那些能够利用研究结果来为他们的决定提供信息的人（例如临床医生、管理人员、决策者、病人/家属和其他人）。利益攸关方越来越感兴趣的想法，IKT产生更大和更快的社会影响。利益攸关方是所有对使用研究成果感兴趣，但不一定将其用于自己的决策的人（例如政府、资助者、研究人员、卫生系统管理人员和决策者、患者和临床医生）。虽然IKT被广泛接受，但支持它的实际研究是有限的，并且对于如何最好地进行和支持IKT存在不确定性。本文件提出了一项研究方案的议定书，以检验以下假设：在研究成果产生的各个阶段让研究成果的使用者参与，将导致（a）更好地欣赏和利用研究成果的能力;（B）产生更相关、更有用和更适用的研究成果，从而产生更大的影响;以及（c）研究结果更有可能影响政策、管理和临床决策的条件。该研究计划将采用跨学科、国际化、跨部门的方法，使用多种混合方法，以反映研究伙伴关系的复杂性和社会性。我们将使用正在进行的和未来的自然IKT实验作为多个案例来深入研究IKT，我们将利用团队与省级，国家和国际组织的现有关系。案例研究将是回顾性和前瞻性的，7年的资助期将使纵向研究成为可能。将对伙伴关系的启动、供资过程、研究生命周期以及项目后的成果/影响进行真实的研究。这些生活实验室还将允许测试策略，以提高IKT方法的效率和有效性。讨论：这是第一个跨学科的，系统的和程序化的研究IKT研究。该研究将为如何可靠有效地衡量合作研究伙伴关系及其影响提供科学证据。拟议的研究将为IKT建立科学基础，评估其与研究用途的关系，并确定进行IKT以实现最大影响的最佳做法和适当条件。它还将培训和指导下一代IKT研究人员。
Background: Health research is conducted with the expectation that it advances knowledge and eventually translates into improved health systems and population health. However, research findings are often caught in the know-do gap: they are not acted upon in a timely way or not applied at all. Integrated knowledge translation (IKT) is advanced as a way to increase the relevance, applicability and impact of research. With IKT, knowledge users work with researchers throughout the research process, starting with identification of the research question. Knowledge users represent those who would be able to use research results to inform their decisions (e.g. clinicians, managers, policy makers, patients/families and others). Stakeholders are increasingly interested in the idea that IKT generates greater and faster societal impact. Stakeholders are all those who are interested in the use of research results but may not necessarily use them for their own decision-making (e.g. governments, funders, researchers, health system managers and policy makers, patients and clinicians). Although IKT is broadly accepted, the actual research supporting it is limited and there is uncertainty about how best to conduct and support IKT. This paper presents a protocol for a programme of research testing the assumption that engaging the users of research in phases of its production leads to (a) greater appreciation of and capacity to use research; (b) the production of more relevant, useful and applicable research that results in greater impact; and (c) conditions under which it is more likely that research results will influence policy, managerial and clinical decision-making.Methods: The research programme will adopt an interdisciplinary, international, cross-sector approach, using multiple and mixed methods to reflect the complex and social nature of research partnerships. We will use ongoing and future natural IKT experiments as multiple cases to study IKT in depth, and we will take advantage of the team's existing relationships with provincial, national and international organizations. Case studies will be retrospective and prospective, and the 7-year grant period will enable longitudinal studies. The initiation of partnerships, funding processes, the research lifecycle and then outcomes/impacts post project will be studied in real time. These living laboratories will also allow testing of strategies to improve the efficiency and effectiveness of the IKT approach.Discussion: This is the first interdisciplinary, systematic and programmatic research study on IKT. The research will provide scientific evidence on how to reliably and validly measure collaborative research partnerships and their impacts. The proposed research will build the science base for IKT, assess its relationship with research use and identify best practices and appropriate conditions for conducting IKT to achieve the greatest impact. It will also train and mentor the next generation of IKT researchers.