Real-world evidence provides important information about the effects of medicines in routine clinical practice. To engender trust that evidence generated for regulatory purposes is sufficiently valid, transparency in the reasoning that underlies study design decisions is critical. Building on existing guidance and frameworks, we developed the Structured Preapproval and Postapproval Comparative study design framework to generate valid and transparent real-world Evidence (SPACE) as a process for identifying design elements and minimal criteria for feasibility and validity concerns, and for documenting decisions. Starting with an articulated research question, we identify key components of the randomized controlled trial needed to maximize validity, and pragmatic choices are considered when required. A causal diagram is used to justify the variables identified for confounding control, and key decisions, assumptions, and evidence are captured in a structured way. In this way, SPACE may improve dialogue and build trust among healthcare providers, patients, regulators, and researchers.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6771466PMC
http://dx.doi.org/10.1002/cpt.1480DOI Listing

Publication Analysis

Top Keywords

study design
12
real-world evidence
12
structured preapproval
8
preapproval postapproval
8
postapproval comparative
8
comparative study
8
design framework
8
framework generate
8
generate valid
8
valid transparent
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!