# Accelerating the Adoption of Best Practice Research in Resuscitation Through Implementation Science: Identifying Gaps and Pathways

## TL;DR

This paper explores how to speed up the use of proven resuscitation practices in healthcare by using implementation science to address real-world barriers.

## Contribution

The paper introduces a comprehensive outcomes framework and a decision-oriented table for pilot testing to guide the adoption of resuscitation protocols.

## Key findings

- The KTA framework is applied to resuscitation to identify and address barriers like dispatcher workload and resource constraints.
- A detailed outcomes framework is introduced, covering implementation, system, and patient-level metrics.
- Case examples demonstrate practical applications, such as DA-CPR and real-time feedback devices.

## Abstract

Translation of evidence-based resuscitation practices into clinical settings remains slow and inconsistent, a gap that significantly impacts survival and neurological outcomes. Implementation science offers a structured approach to accelerate adoption by identifying context-specific barriers—such as dispatcher workload, team choreography, and resource constraints—and tailoring strategies to overcome them. This paper applies the Knowledge-to-Action (KTA) framework to resuscitation, emphasizing stakeholder engagement, iterative monitoring, and sustainability. We provide detailed guidance across key resuscitation settings, including dispatch-assisted cardiopulmonary resuscitation (DA-CPR), in-hospital code teams, and emergency medical services (EMS). The manuscript introduces a comprehensive outcomes framework encompassing implementation, service/system, and patient-level metrics, and illustrates practical application through case examples such as DA-CPR and real-time feedback devices. To enhance scientific utility, we also present a decision-oriented table for pilot testing, offering healthcare institutions a roadmap for sustainable integration of evidence-based resuscitation protocols.