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We conducted a scoping review of peer-reviewed literature to describe the nature and extent of reporting on the involvement of stakeholders in early-stage translational research.
Methods and results:
We conducted two literature searches in six databases, screened records and full-text articles, and abstracted and analyzed data from included publications. The literature searches yielded unduplicated 2,894 records. After screening, 13 articles were included.
Findings:
Our review of the literature yielded rare reports of engagement in early-stage translational research. Half of included articles reported on engagement with patients, clinicians, and researchers while fewer that one in three reported on engagement with policymakers, industry, and insurers. One in four reported engagement in the publication’s acknowledgments but not in the main text. More than half drew unmeasured conclusions about the outcomes of engagement.
Interpretation:
Our definition of early-stage translation pointed to a specific set of peer-reviewed research; our findings indicate a reporting gap and not necessarily a gap in practice. By addressing four themes–developing a shared language, identifying frameworks and principles, creating a repository of resources, and establishing a research agenda, research leaders can develop new insights about how to engage communities in early-stage translational research.
The Clinical and Translational Science Awards (CTSA) Consortium, a network of academic health care institutions with CTSA hubs, is charged with improving the national clinical and translational research enterprise. The CTSA Consortium and the NIH National Center for Advancing Translational Sciences implemented the Common Metrics Initiative comprised of standardized metrics and a shared performance improvement framework. This article summarizes hubs’ perspectives on its value during the initial implementation.
Methods:
The value was assessed across 58 hubs. Survey items assessed change in perceived ability to manage performance and advance clinical and translational science. Semi-structured interviews elicited hubs’ perspectives on meaningfulness and value-added of the Common Metrics Initiative and hubs’ recommendations.
Results:
Hubs considered their abilities to manage performance to have improved, but there was no change in perceived ability to advance clinical and translational science. The initiative added value by providing a formal structured process, enabling strategic conversations, facilitating improvements in processes, providing an external impetus for improvement, and providing justification for funds invested. Hubs were concerned about the usefulness of the metrics chosen and whether the value-added was sufficient relative to the effort required. Hubs recommended useful benchmarking, disseminating best practices and promoting peer-to-peer learning, and expanding the use of data to inform the initiative.
Conclusions:
Implementing Common Metrics and a performance improvement framework yielded concrete short-term benefits, but concerns about usefulness remained, particularly considering the effort required. The Common Metrics Initiative should focus on facilitating cross-hub collaboration around metrics that address high-priority impact areas for individual hubs and the Consortium.
The Clinical and Translational Science Awards (CTSA) Consortium, about 60 National Institutes of Health (NIH)-supported CTSA hubs at academic health care institutions nationwide, is charged with improving the clinical and translational research enterprise. Together with the NIH National Center for Advancing Translational Sciences (NCATS), the Consortium implemented Common Metrics and a shared performance improvement framework.
Methods:
Initial implementation across hubs was assessed using quantitative and qualitative methods over a 19-month period. The primary outcome was implementation of three Common Metrics and the performance improvement framework. Challenges and facilitators were elicited.
Results:
Among 59 hubs with data, all began implementing Common Metrics, but about one-third had completed all activities for three metrics within the study period. The vast majority of hubs computed metric results and undertook activities to understand performance. Differences in completion appeared in developing and carrying out performance improvement plans. Seven key factors affected progress: hub size and resources, hub prior experience with performance management, alignment of local context with needs of the Common Metrics implementation, hub authority in the local institutional structure, hub engagement (including CTSA Principal Investigator involvement), stakeholder engagement, and attending training and coaching.
Conclusions:
Implementing Common Metrics and performance improvement in a large network of research-focused organizations proved feasible but required substantial time and resources. Considerable heterogeneity across hubs in data systems, existing processes and personnel, organizational structures, and local priorities of home institutions created disparate experiences across hubs. Future metric-based performance management initiatives across heterogeneous local contexts should anticipate and account for these types of differences.
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