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BiotechNewsBest Practices for COA Selection: Building a Stronger Foundation for Clinical Trials
Best Practices for COA Selection: Building a Stronger Foundation for Clinical Trials
BioTech

Best Practices for COA Selection: Building a Stronger Foundation for Clinical Trials

•January 12, 2026
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BioPharma Dive
BioPharma Dive•Jan 12, 2026

Companies Mentioned

Pearson

Pearson

PSO

Why It Matters

Effective COA selection shortens timelines, safeguards regulatory compliance, and improves the credibility of trial outcomes, directly affecting sponsor ROI and patient access to therapies.

Key Takeaways

  • •91% researchers want deeper COA selection knowledge
  • •Licensing delays affect 65% of studies
  • •Early COA planning improves regulatory alignment
  • •Partnering reduces re‑work and boosts data integrity
  • •Global trials need translation and rater training foresight

Pulse Analysis

The landscape of clinical outcome assessments has shifted from a checklist item to a strategic asset that can make or break a study. Regulatory agencies now scrutinize endpoint justification, psychometric validation, and real‑world applicability, while sponsors increasingly rely on electronic COA (eCOA) platforms to capture data across dispersed sites. This heightened focus demands that COAs be scientifically aligned, culturally adaptable, and technically robust before a protocol is locked, setting a higher bar for trial design teams.

Operational friction often stems from three interconnected domains: licensing, translation, and rater training. Pearson Research found that 65% of investigators encounter slow licensing turn‑arounds, while 64% struggle with high‑quality translations and 52% lack centralized rater‑training oversight. These bottlenecks cascade into delayed site activation, increased costs, and compromised data quality, especially in multinational or rare‑disease studies where consistency is paramount. Vendor coordination challenges and unclear copyright ownership further amplify risk, underscoring the need for a unified workflow.

The remedy lies in proactive planning and smarter partnerships. Embedding COA selection at the protocol‑development stage enables early feasibility checks, clearer licensing negotiations, and pre‑emptive translation planning, cutting downstream re‑work. Collaborating with specialist providers that offer validated tools, expert endpoint consultation, and integrated licensing‑translation services creates a seamless execution pipeline. Sponsors that adopt this early‑partner model report faster approvals, higher data integrity, and stronger regulatory dossiers, ultimately accelerating patient access to innovative therapies.

Best practices for COA selection: Building a stronger foundation for clinical trials

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