REAL WORLD DATA
GEAR UP THE DRUG DEVELOPMENT PROCESS AND RECRITMENT WITH REAL WORLD DATA (RWD)
The use of real-world data is to enhance the clinical trial process and regulatory submissions is increasing worldwide. Both the regulators and pharma looking for real world evidence to help . understand the context of novel drugs and therapies. All these are having both clinical and economic impact.
Real-World Data (RWD) is defined as data which has been collected from a number of sources that are associated with outcomes from a diverse range of participants in a real-world setting. Analysis of RWD generates valuable insights which can improve interventional pathways and the clinical and economic impact on participants and the healthcare system.
Key sources of real world data include National registries, prescribing databases or electronic medical records.
POTENTIAL APPLICATIONS
Patient profiling and sizing (feasibility assessment)
Patient identification and recruitment
Protocol designs
Reduce size and complexity of trials
Synthetic control arm
STUDY DESIGN
Real-World Data can be used to identify participants with unmet clinical needs and a greater chance of benefitting from new therapy. This data may help refine the trial’s inclusion/exclusion criteria to improve the capture of target patients. RWD can help identify the best clinical trial sites and enable a more streamlined recruitment process and retention. These interventions can shorten the trial length while increasing the statistical power.
SITE SELECTION AND PATIENT RECRUITMENT
One of the earliest and most important decisions to be made before a clinical trial gets underway is selecting a site to conduct the trial.
Real-World Data can be useful in selecting a clinical trial site as Sponsors and Principal Investigators can access information including diagnosis codes, laboratory tests, and histologies to assess the number of participants that can be enrolled in each potential site and locations where clinical trials can be held.
Having access to a database of information about the patient population and studying observations made by physicians allows for patient populations to be analysed in potential clinical trial sites and to be matched based on their characteristics. Using Real-World Data in this process can assist in bringing a smaller number of participants into a work-up with an increased enrollment ratio.