Designing RWE that drives access


By Prof. Dr Thomas Wilke, expert trainer of the Generating RWE for Optimising Market/Patient Access course.

 

Why one type of study is not enough


Real-world evidence (RWE) has become a critical component of market access, pricing, and clinical decision-making. Yet there is still a common misconception about how RWE is actually generated and used.

Many assume that a single, well-designed RWE study can answer all relevant questions. In reality, that is rarely the case.

Individual RWE studies are often built to answer one specific research question, focusing on a clearly defined primary outcome. However, decision-makers rarely rely on a single outcome when evaluating a therapy.

What matters is not just the study, but the overall evidence strategy.
 

One study, one question


Like clinical trials, RWE studies are designed around a primary objective.

This means:

  • A cost study focuses on healthcare resource use and cost
  • An effectiveness study focuses on clinical outcomes
  • An adherence study focuses on persistence and compliance

Trying to answer too many questions within a single study often leads to:

  • methodological weaknesses
  • unclear results
  • reduced credibility with regulators and HTA bodies

Well-designed RWE studies are focused, precise, and transparent in what they aim to demonstrate.
 

But decision-makers don’t think in single outcomes


While individual studies are narrow by design, stakeholders are not.

Different decision-makers require different types of evidence:

  • Regulators focus on benefit-risk
  • HTA bodies assess comparative effectiveness and cost-effectiveness
  • Payers look for real-world value and budget impact

No single outcome, and no single study, can satisfy all of these perspectives.
 

The full spectrum of RWE outcomes


Across RWE studies, a broad range of outcomes can be generated, including:

  • Epidemiology (incidence, prevalence)
  • Treatment patterns
  • Adherence and persistence
  • Healthcare resource use and costs
  • Soft clinical outcomes (e.g. biomarkers, surrogate endpoints)
  • Hard clinical outcomes (e.g. survival, major events)
  • Patient-reported outcomes (quality of life, symptoms)

Each of these answers a different type of question.
 

From single studies to evidence strategy


The real value of RWE emerges when these different outcomes are generated across a coordinated set of studies.

For example:

  • A treatment pattern study shows how patients are currently managed
  • A comparative effectiveness study demonstrates clinical benefit
  • A cost study quantifies economic impact
  • A patient-reported outcome study captures patient relevance

Individually, each study provides a partial answer. Together, they create a coherent and persuasive evidence base.
 

Why this matters for market access


Market access decisions are multi-dimensional.

To achieve reimbursement and adoption, companies must demonstrate:

  • clinical value
  • economic value
  • relevance to real-world populations
  • impact on patients’ lives

RWE plays a role across the entire product lifecycle, from early development to post-launch optimisation. This makes it essential to move beyond a “study-by-study” mindset.
 

Common mistake: letting data drive the question


A frequent pitfall in RWE is starting with available data rather than a clear strategic objective. 

This often results in:

  • studies that are easy to execute but hard to use
  • evidence that does not align with stakeholder needs
  • missed opportunities to support key decisions

Instead, the process should be reversed:

  1. Define the decision to support
  2. Identify the evidence required
  3. Design the appropriate RWE studies
     

The takeaway ✔️


RWE is not about running a single study; it is about building a structured evidence strategy where:

  • each study has a clear purpose
  • each outcome answers a specific question
  • all studies together support a broader value story

Companies that approach RWE this way are far better positioned to:

  • meet regulatory and HTA expectations
  • support pricing and reimbursement
  • demonstrate real-world value
     

Continue your learning from Thomas

If you’d like to learn more from Thomas, CELforPharma also offers a 1-day, hands-on course where you'll:

  • Understand the full spectrum of RWE study types and data sources
  • Learn how RWE can support payer, HTA, and access decision-making
  • Gain insight into study design and statistical considerations
  • Exchange experiences through expert-led discussions and practical examples

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