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Published on: February 19, 2021
DECISION-MAKING ALIGNED WITH RAPID-CYCLE EVALUATION IN HEALTH CARE
Sebastian Schneeweiss1, William H Shrank2, Michael Ruhl3
1Division of Pharmacoepidemiology and Pharmacoeconomics,Department of Medicine,Brigham and Women's Hospital and Harvard Medical Schoolschneeweiss@post.harvard.edu.
Rapid-cycle evaluation (RCE) uses real-time data to inform decisions on health technologies. The RAPID framework synchronizes decision-making with RCE stages, optimizing program adoption and impact.
Area of Science:
- Health Services Research
- Health Technology Assessment
- Evidence-Based Practice
Background:
- Real-time electronic healthcare data enables rapid-cycle evaluation (RCE) of health technologies and programs.
- Aligning decision-making with RCE stages optimizes the utility and impact of rapid results.
- Informed adoption decisions require considering program effect size alongside costs, sustainability, and adoption likelihood.
Purpose of the Study:
- To align decision-making processes with rapid-cycle evaluation (RCE) stages.
- To optimize the usefulness and impact of rapid results from RCE.
- To provide guidelines for evidence thresholds in incremental decision-making.
Main Methods:
- Examined past use of scientific evidence for complex interventions using case studies and drug safety monitoring.
- Clarified how RCE influences policy decisions.
- Developed the RAPID framework to synchronize decision-maker activities with RCE stages.
Main Results:
- RCE provides early effectiveness evidence, supporting a stepped decision-making approach with regularly updated information.
- RCE facilitates identification of trends in adjusted effect size and allows for midstream program or evaluation adaptation.
- The 5-step RAPID approach, using accumulating evidence, can enhance policymakers' confidence in expedited decisions.
Conclusions:
- Rapid-cycle evaluation enables a step-wise approach to health technology assessment (HTA) decision-making.
- Gradually emerging evidence from RCE reduces delays common with traditional one-time evaluations.
- This approach optimizes HTA decision-making by integrating evidence as it becomes available.
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