38  Key CRA Metrics

38.1 Core Operational Metrics

Metric What It Tells You
Query rate Data quality burden
SDV completion % Monitoring compliance
Enrollment rate Site performance
Screen failure rate Eligibility issues
Protocol deviations Process failures
SAE rate Safety signal volume
Data entry lag Timeliness risk

38.2 CRA Insight

Metrics are not performance scores. They are risk indicators.

38.3 How to Use These Metrics (Signal → Action)

These metrics should trigger structured follow-up, not isolated reactions. Use them to determine whether a concern is:

  • site-specific (one site deviating), or
  • systemic (trend across sites or over time).

When a metric shifts, interpret it as:

Operational Signal → Risk Interpretation → Next Action

38.4 Metric Interpretation and Typical Actions

Metric Operational Signal Potential Risk Typical Next Action / Escalation
Query rate Increased data clarification burden Data quality risk; monitoring burden Review query drivers; coordinate with DM; focus monitoring on recurring fields
SDV completion % Visit backlog or incomplete verification Oversight and inspection risk Reprioritize SDV to critical data; escalate resourcing constraints to CTM/PM
Enrollment rate Enrollment below forecast Timeline risk Confirm screening workflow; escalate persistent underperformance; consider mitigation plan (additional sites, recruitment support)
Screen failure rate Eligibility mismatch or pre-screening gaps Inefficient enrollment; feasibility risk Review criteria interpretation; retrain on eligibility; improve pre-screening workflow
Protocol deviations Process inconsistency Quality risk; endpoint validity risk Trend deviations; determine root cause; escalate systemic patterns for CAPA consideration
SAE rate Increased safety event volume Potential safety signal Verify documentation/reporting timeliness; coordinate with safety for trend review
Data entry lag Delayed data availability Downstream delays (queries, DBL) Reinforce entry expectations; prioritize time-critical forms; escalate persistent lag

38.5 Leading vs Lagging Indicators

Type Meaning Examples
Leading indicator Predicts future issues Increasing query aging, growing data entry lag, declining SDV completion
Lagging indicator Confirms issues already occurred Missed visits, missed milestones, inspection findings

Prioritize leading indicators to prevent downstream failures.