4th-Hurdle’s team of researchers extract relevant real-world data from existing healthcare information sources and analyze it to provide clear descriptions of treatment patterns, resource use and costs associated with the disease and its treatment, and insight into the factors that determine outcomes. With a team consisting of health economists, epidemiologists, biostatisticians and clinicians, we are able to conduct a range of studies to:

  • Understand the natural history of disease (e.g., incidence, prevalence)
  • Determine the unmet need by evaluating the burden or cost of illness
  • Quantify product-specific or comparative safety, effectiveness, adherence and other outcomes
    • Support post-marketing assessment and commitments
    • Define need and scope of risk assessment / management
    • Identify and quantify the patient population of interest and risk factors for adverse events
    • Evaluate appropriateness of drug utilization
  • Understand treatment patterns and their effects on patient, clinical and economic outcomes
  • Examine how the definition of an event or condition may have affected key metrics, such as prevalence and incidence
  • Provide estimates for inputs used in health economic evaluations

4th-Hurdle does not limit its analyses to a proprietary database. Instead, we are able to work with nearly any dataset. Our researchers critically assess the available databases to identify those that will yield the best information for your needs. We have a deep understanding of, and experience with, data sources across 20+ countries. This includes the major databases across North America and Europe, and we engage other data providers around the world as needed (e.g., Brazil, Japan, Korea, China, Australia, Taiwan).

We understand and are able to analyze large claims databases and electronic medical records as well as combinations of these and other data sources. When retrospective data are not enough, we can supplement them with prospective data collection. When it’s time to communicate the findings, Evidera excels in the development of audience-appropriate dissemination materials for decision makers, scientists, clinicians and consumers.


Database Analytics

Identify, analyze and understand treatment patterns, natural history of disease, risk of clinical outcomes and risk factors.

Real-World Data Identification

Identify the best data sources to address research questions and develop a real-world data strategy.

Advanced Statistical Modeling and Predictive Analytics

Go beyond the surface of data to see important patterns and associations.

Post Hoc and Exploratory Analytics of Trial and Observational Data

Closely examine the product’s trial or observational data to unlock hidden value.

Coding Algorithm Development

Determine and optimize definitions of key clinical variables and outcomes for database studies to ensure quality definitions for those events.

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