title: Creating and using real-world evidence to answer questions about clinical effectiveness.
abstract: New forms of evidence are needed to complement evidence generated from randomised controlled trials (RCTs). Real-World Evidence (RWE) is a potential new form of evidence, but remains undefined. This paper sets to fill that gap by defining RWE as the output from a rigorous research process which: (1) includes a clear a priori statement of a hypothesis to be tested or research question to be answered; (2) defines the data sources that will be used and critically appraises their strengths and weaknesses; and (3) applies appropriate methods, including advanced analytics. These elements should be set out in advance of the study commencing, ideally in a published protocol.The strengths of RWE studies are that they are more inclusive than RCTs and can enable an evidence base to be developed around real-world effectiveness and to start to address the complications of managing other real-world problems such as multimorbidity. Computerised medical record systems and big data provide a rich source of data for RWE studies. However, guidance is needed to help assess the rigour of RWE studies so that the strength of recommendations based on their output can be determined. Additionally, RWE advanced analytics methods need better categorisation and validation.We predict that the core role of RCTs will shift towards assessing safety and achieving regulatory compliance. RWE studies, notwithstanding their limitations, may become established as the best vehicle to assess efficacy.
authors.affiliation: University of Surrey, Guildford, UK. EditorIPC@gmail.com.
authors.forename: Simon
authors.initials: S
authors.lastname: de Lusignan
authors.forename: Laura
authors.initials: L
authors.lastname: Crawford
authors.forename: Neil
authors.initials: N
authors.lastname: Munro
mesh_terms: D004812:Epidemiologic Methods; D055317:Evidence-Based Practice / Q000458:organization & administration*; D006801:Humans; D016347:Medical Records Systems, Computerized / Q000458:organization & administration*; D012107:Research Design