Real world evidence (RWE) - a disruptive innovation or the quiet evolution of medical evidence generation?

F1000Res. 2018 Jan 25:7:111. doi: 10.12688/f1000research.13585.2. eCollection 2018.

Abstract

Stakeholders in healthcare are increasingly turning to real world evidence (RWE) to inform their decisions, alongside evidence from randomized controlled trials. RWE is generated by analysing data gathered from routine clinical practice, and can be used across the product lifecycle, providing insights into areas including disease epidemiology, treatment effectiveness and safety, and health economic value and impact. Recently, the US Food and Drug Administration and the European Medicines Agency have stated their ambition for greater use of RWE to support applications for new indications, and are now consulting with their stakeholders to formalize standards and expected methods for generating RWE. Pharmaceutical companies are responding to the increasing demands for RWE by developing standards and processes for each stage of the evidence generation pathway. Some conventions are already in place for assuring quality, whereas other processes are specific to the research question and data sources available. As evidence generation increasingly becomes a core role of medical affairs divisions in large pharmaceutical companies, standards of rigour will continue to evolve and improve. Senior pharmaceutical leaders can drive this change by making RWE a core element of their corporate strategy, providing top-level direction on how their respective companies should approach RWE for maximum quality. Here, we describe the current and future areas of RWE application within the pharmaceutical industry, necessary access to data to generate RWE, and the challenges in communicating RWE. Supporting and building on viewpoints from industry and publicly funded research, our perspective is that at each stage of RWE generation, quality will be critical to the impact that RWE has on healthcare decision-makers; not only where RWE is an established and evolving tool, but also in new areas that have the potential to disrupt and to improve drug development pathways.

Keywords: Drug Discovery methods; Drug Industry methods; Real world evidence.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Amyotrophic Lateral Sclerosis / prevention & control*
  • Databases, Factual
  • Decision Making*
  • Delivery of Health Care / organization & administration*
  • Drug Industry / standards*
  • Evidence-Based Medicine / organization & administration*
  • Health Care Sector / standards*
  • Humans
  • Pulmonary Disease, Chronic Obstructive / prevention & control*
  • Treatment Outcome

Grants and funding

Development of this manuscript was funded by AstraZeneca; writing was undertaken as part of an internal project by employees of AstraZeneca and Oxford PharmaGenesis.