Encouraging Pharmacist Referrals for Evidence-Based Statin Initiation: Two Cluster Randomized Clinical Trials.
Summary
Across two pragmatic cluster RCTs (n=1412 and n=1950), a visit-based interruptive EHR alert did not significantly increase statin prescribing versus usual care, whereas an asynchronous semiautomated pharmacist referral strategy increased prescribing by 16.4 percentage points (31.6% vs 15.2%). This scalable workflow leverages pharmacists to close preventive care gaps in high-risk patients.
Key Findings
- Visit-based interruptive EHR alerts did not significantly increase statin prescribing compared with usual care (15.6% vs 11.6%).
- Semiautomated pharmacist referral increased statin prescribing by 16.4 percentage points versus usual care (31.6% vs 15.2%).
- Trials enrolled 1412 and 1950 patients across 12 practices with mean 10-year ASCVD risk 17.9%.
Clinical Implications
Health systems should consider implementing asynchronous semiautomated pharmacist referrals for lipid management to increase appropriate statin prescribing in high-risk patients, rather than relying on interruptive alerts.
Why It Matters
Pragmatic, system-level randomization demonstrates an immediately implementable strategy to increase evidence-based statin use, a cornerstone of cardiovascular prevention.
Limitations
- Single health system; generalizability may be limited
- Outcome focused on prescribing, not downstream clinical events
Future Directions
Evaluate long-term adherence and clinical outcomes, and test scalability across diverse health systems and payers.
Study Information
- Study Type
- RCT
- Research Domain
- Prevention
- Evidence Level
- I - Cluster randomized trials provide high-quality evidence for implementation interventions.
- Study Design
- OTHER