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Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
Published on: May 31, 2011
E-SCOPE: A Strategic Approach to Identify and Accelerate Implementation of Evidence-based Best Practices
Shayna L Henry1, Yasmina Mohan1, Joel L Whittaker1
1Evidence-Based Medicine Services Unit, Department of Clinical Analysis, Kaiser Permanente Southern California.
Background:
More than 50,000 randomized controlled trials and 8000 systematic reviews are anticipated to be published annually in the coming years. This huge volume of published findings makes it challenging for health care delivery systems to review new evidence, prioritize health care practices that warrant implementation, and implement best practices.
Objective:
The objective of this study was to describe the Kaiser Permanente Southern California E-SCOPE (Evidence Scanning for Clinical, Operational, and Practice Efficiencies) program, a systematic method to accelerate the implementation of evidence-based practices in clinical care settings.
Methods:
E-SCOPE uses a strategic evidence search algorithm to conduct proactive literature searches to identify high-quality studies of interventions that yield improved health outcomes, quality and/or efficiency of care delivery, or cost savings. Each quarterly search yields 500-1000 abstracts; about 5%-10% of studies are selected each quarter for consideration for implementation. These studies are presented to clinical and operational leaders and other stakeholders to make the final determination regarding the implementation of the practice; E-SCOPE staff work closely with stakeholders to develop an implementation plan, identify practice owners, and ensure sustainability.
Results:
The time from study publication to implementation using the E-SCOPE process ranges from 4 to 36 months, with an average of ∼16 months. Four examples of E-SCOPE implementation efforts, including new deployment, scale-up/spread, deimplementation, and operational efforts, are described.
Conclusion:
A single, centralized program for the proactive identification of the most up-to-date, evidence-based best practices and facilitated implementation can efficiently and effectively promote continuous learning and implementation in a learning health care system.
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