Appendix w — Pragmatic vs Explanatory Trials: A Quantitative Analysis

Published

February 27, 2025

Pragmatic vs Explanatory Trials: A Quantitative Analysis

What are Pragmatic Trials?

Pragmatic trials are designed to test interventions in real-world conditions, focusing on:

  • Real-world effectiveness rather than controlled efficacy
  • Broad patient populations with minimal exclusion criteria
  • Routine clinical settings rather than specialized research environments
  • Practical outcomes that matter to patients and clinicians
  • Rapid implementation of findings into clinical practice

Key Differences at a Glance

Metric Pragmatic Trials (e.g., RECOVERY) Traditional Explanatory Trials
Cost per Trial Lower due to existing infrastructure $48-225 million
Time to Results Weeks to months 5-7 years average
Participants Large (e.g., 47,000+ in RECOVERY) Typically 500-3000
Implementation Speed Hours to days Months to years
Patient Population Diverse, real-world Highly selected
Setting Routine clinical practice Specialized research centers
Generalizability High Limited

Cost Analysis

Traditional Explanatory Trials

  • Average phase costs (source):
    • Phase 1: $4 million
    • Phase 2: $13 million
    • Phase 3: $20 million
  • Per-patient costs vary by therapeutic area:

Pragmatic Trials (RECOVERY Example)

Speed and Efficiency

RECOVERY Trial Metrics

Traditional Trial Metrics

Clinical Impact

RECOVERY Trial

Traditional Trials

Advantages of Pragmatic Trials

  1. Better Generalizability

    • Results apply to broader patient populations
    • Findings directly relevant to routine clinical practice
    • Higher external validity
  2. Resource Efficiency

    • Uses existing healthcare infrastructure
    • Lower per-patient costs
    • Faster recruitment and completion
  3. Implementation Speed

    • Rapid translation to clinical practice
    • Immediate real-world validation
    • Reduced lag between evidence and practice
  4. Statistical Power

    • Larger sample sizes possible
    • More diverse patient populations
    • Better representation of real-world outcomes