OR WAIT null SECS
© 2023 MJH Life Sciences™ and Pharmaceutical Executive. All rights reserved.
The FDA proposes to use the RWE Program to guide generation of data in support of approval for new indications or to help support post-approval study requirements.
At the end of 2018, the FDA released a draft framework for a new Real-World Evidence (RWE) Program. The FDA proposes to use the RWE Program to guide generation of data in support of approval for new indications or to help support post-approval study requirements. It is proposed to be used by both the FDA’s drug and biologic review programs. This whitepaper highlights the scope of this program, its opportunities, gaps, and implications for the pharmaceutical industry.
To understand the scope of this framework, it is important to understand the definition of Real-World Data (RWD) and Real-World Evidence RWE as defined by the FDA in the current draft framework:
Real World Data (RWD) refers to patient data that is collected through a variety of sources such as Electronic Health Records (EHRs), medical claims and billing data, data from product and disease registries, patient-generated data (includes in-home-use settings and mobile devices).
Real World Evidence (RWE) is clinical evidence obtained from the analysis of RWD that providing information about usage, risks, and benefits of a medical product derived from sources other than traditional randomized clinical trials.
The FDA’s RWE program will assess inclusion of RWD to support approval of new indications and to help to support or satisfy post-approval study requirements. The following may be included:
RWD can be used to supplement traditional clinical trial data and improve the efficiency of these trials. Trials within the RWE Program scope can be one of two types:
Hybrid: traditional clinical trial supplemented with RWD from EHR, medical claims, or pharmacy databases
Pragmatic: contains some elements which closely resemble routine clinical practice
The hybrid trial approach may include the use of RWD as a control arm in a traditional clinical trial. Observational studies are anticipated within the pragmatic approach. The FDA intends to use an existing guidance, the Pharmacoepidemiologic Guidance, to evaluate epidemiologic studies as applicable for hypothesis generating pragmatic studies.
The new draft framework leaves some significant gaps with regard to a defined approach that pharmaceutical manufacturers should take in their RWE trial design for regulatory approval. The guidelines do not yet completely define the RWE trial design approaches that are approvable, nor the regulatory submission process. The FDA is actively soliciting feedback (deadline: Feb 5, 2019) that will be used in the final RWE guidance.
The FDA has stated they will review on a case-by-case basis and will use three criteria for evaluation:
The last criterium forms a catch-22 as the current FDA regulatory requirements regarding RWE do not specifically outline use in regulatory approval. Several FDA regulations and guidance documents are available for the use of electronic data, eHealth records in clinical investigations, electronic informed consents Q&A’s that could potentially be used for the FDA RWE program. These include Electronic Source Data in Clinical Investigations and Use of Electronic Health Records in Clinical Investigations, among others. Per the draft guidance: “FDA has gained considerable experience assessing electronic health care data (e.g., EHRs, medical claims data, registries) through experience with the Sentinel System and other data systems.” The FDA will be using this experience to guide their perspective on data submissions within the RWE Program.
Pharmaceutical manufacturers must seek guidance from the FDA for each trial design proposed to ensure regulatory processes are met. With this draft framework publication, a number of areas are yet to be defined, according to the FDA. The FDA has stated the intention to updated and design guidance on how to include RWD to design both randomized and non-randomized hybrid clinical trials as well as observational studies. To achieve this, the FDA directly outlines in the draft guidance the factors that would need to be considered such as:
The FDA provided this draft framework with an 8-week solicitation period for suggestions and feedback. A mature form of the framework is expected in the future. The FDA states that the RWE Program “…will involve the establishment of demonstration projects, engagement with stakeholders intended to promote shared learning and consistency in applying the framework, and the development of guidance documents to assist sponsors interested in using RWE to support their work.” The RWE framework will also include data standards for collection, analysis, and submission of RWD. The need for RWE data may spur the need to develop a common data model (CDM) in order to work with RWD across different sources. The CDM would unify terminology, vocabularies, and coding schemes. It will be incumbent on pharmaceutical manufacturers and clinicians to remain actively involved in the development of the final FDA RWE guidance.
The FDA intends to review gaps in both the RWE Framework and in RWE data systems as well as the interoperability and provide strategies to address them. The following summarizes gaps currently identified by the FDA which may need to be addressed while framing guidance for the RWE program.
Interestingly, the RWE framework also opens the door for possible inclusion of data derived from outside the U.S. The continued evaluation and publication of data and systems gaps with strategic recommendations by the FDA will have to address how to support these issues and how to address HIPPA within RWE.
Pharma will have to consider the most efficient way to approach RWE generation for regulatory submission, given the case-by-case approach from the FDA. Additionally, companies will need to address the FDA’s stated concern that real world results would be cherry picked for positive and beneficial data. Some of the questions that the pharma industry should consider with regard to RWE evaluation include:
The RWE Program opens opportunities for more resource efficient approaches to follow-on indications. Increased definition by the FDA is needed to guide resource investment and trial design approaches to ensure efficient investment. Pharmaceutical manufacturers will likely need to evolve their internal structure and systems, including decision models related to RWE trial design and regulatory interaction to accommodate this new route of approval. We look forward to reviewing and understanding the updated guidance expected from the FDA in the future.
Beth Schurman is Partner at Herspiegel Consulting.