Prevention Insights, Department of Applied Health Science, Indiana University School of Public Health-Bloomington, USA.
American Institutes for Research (AIR), USA.
Eval Health Prof. 2024 Jun;47(2):167-177. doi: 10.1177/01632787231225653.
It is important to use evidence-based programs and practices (EBPs) to address major public health issues. However, those who use EBPs in real-world settings often require support in bridging the research-to-practice gap. In the US, one of the largest systems that provides such support is the Substance Abuse and Mental Health Services Administration's (SAMHSA's) Technology Transfer Center (TTC) Network. As part of a large external evaluation of the Network, this study examined how TTCs determine which EBPs to promote and how to promote them. Using semi-structured interviews and pre-testing, we developed a "Determinants of Technology Transfer" survey that was completed by 100% of TTCs in the Network. Because the study period overlapped with the onset of the COVID-19 pandemic, we also conducted a retrospective pre/post-pandemic comparison of determinants. TTCs reported relying on a broad group of factors when selecting EBPs to disseminate and the methods to do so. Stakeholder and target audience input and needs were consistently the most important determinant (both before and during COVID-19), while some other determinants fluctuated around the pandemic (e.g., public health mandates, instructions in the funding opportunity announcements). We discuss implications of the findings for technology transfer and frame the analyses in terms of the Interactive Systems Framework for Dissemination and Implementation.
使用基于证据的计划和实践(EBPs)来解决重大公共卫生问题非常重要。然而,那些在实际环境中使用 EBPs 的人通常需要支持来弥合研究与实践之间的差距。在美国,提供这种支持的最大系统之一是物质滥用和心理健康服务管理局(SAMHSA)的技术转让中心(TTC)网络。作为对该网络进行的大型外部评估的一部分,本研究探讨了 TTC 如何确定要推广哪些 EBPs 以及如何推广它们。我们使用半结构化访谈和预测试,开发了一种“技术转让决定因素”调查,该调查由网络中的所有 TTC 完成了 100%的回复。由于研究期间恰逢 COVID-19 大流行的开始,我们还对大流行前后的决定因素进行了回顾性的前后比较。TTC 报告在选择要传播的 EBP 时依赖于广泛的因素,以及这样做的方法。利益相关者和目标受众的投入和需求始终是最重要的决定因素(在 COVID-19 之前和期间都是如此),而其他一些决定因素在大流行期间有所波动(例如,公共卫生命令,资金机会公告中的说明)。我们讨论了这些发现对技术转让的影响,并根据传播和实施的交互系统框架来分析这些发现。