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Priorities, Approaches, and Performance for Outpatient Antithrombotic Stewardship: The ADAPT Project
Joint Commission Journal on Quality and Patient Safety
|August 14, 2026
Summary
Outpatient antithrombotic (AT) stewardship shows significant variability in care process monitoring and system-level tracking. Improving data automation and operational support is crucial for reliable measurement of AT safety and effectiveness.
Area of Science:
- Pharmacology
- Health Services Research
- Quality Improvement
Background:
- Antithrombotic (AT) agents are essential but linked to preventable adverse events.
- Outpatient AT stewardship lacks standardized measurement infrastructure compared to antimicrobial stewardship.
- Characterizing outpatient practices and identifying gaps in monitoring and tracking is needed for quality improvement.
Purpose of the Study:
- To characterize current outpatient antithrombotic stewardship practices across five care process priorities (CPPs).
- To examine the gaps between clinical monitoring and system-level tracking in outpatient settings.
- To inform future quality measurement and benchmarking initiatives in AT stewardship.
Main Methods:
- A sequential explanatory mixed methods evaluation was conducted.
- A national cross-sectional survey assessed clinical monitoring and system-level tracking for CPPs.
- Semistructured interviews explored operational aspects, facilitators, and barriers.
Main Results:
- Monitoring of CPPs was common, but system-level tracking was less prevalent and varied by CPP and setting.
- Protocols were often in place, but routine adherence tracking was rare.
- US Department of Veterans Affairs (VA) sites showed higher systemwide tracking, particularly for warfarin time in therapeutic range (TTR), compared to non-VA sites.
Conclusions:
- Outpatient AT stewardship exhibits high variability and a significant gap between monitoring and population-level tracking.
- Transitioning from monitoring to tracking is essential for developing quality measures and benchmarking.
- Priorities for advancement include governance, data automation, and operational support for scalable measurement.
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