Abstract
Background
A persistent challenge in implementation science is the gap between the pace and priorities of academic research and the needs of decision-makers. While traditional research emphasizes methodological rigor, policymakers often require timely, relevant, and stakeholder-engaged evidence to inform decisions.Methods
We conducted a real-time discrete choice experiment (DCE) with participants at an implementation science conference in Washington, D.C. during a 75-minute session on rapid implementation science. At the midpoint of the panel, the audience were invited to participate in a 10-minute DCE based on a vignette describing a hypothetical study on implementing a new vaccine facing public hesitancy. Choice sets included six attributes: rapidity of study, study design, primary outcome, level of community engagement, leadership, and costs. We used a mixed logit model to analyze preferences in real time and presented results back to the audience at the end of the session.Results
Ninety-four participants completed the DCE; all reported working in research and 83% reported working in program implementation. Respondents placed high value on timing of results, with strong preferences for receiving results in 6 months compared 12 months (β=-1.1, 95% CI: - 1.6- - 0.6; p Conclusions
This real-time DCE demonstrated that with adequate preparation, it is feasible-to generate robust, interpretable, and actionable results within an hour. Findings challenge the assumption that randomization is the highest priority in research design, highlighting instead the importance of outcome and community engagement. By aligning more closely with the values of decision-makers, rapid science approaches such as real-time DCEs may help bridge the research-policy gap.