학술논문
RWE Framework: An Interactive Visual Tool to Support a Real-World Evidence Study Design
Original Research Article
real-world evidence
Original Research Article
real-world evidence
Document Type
Report
Source
Drugs - Real World Outcomes. December 2019, Vol. 6 Issue 4, p193, 11 p.
Subject
Language
English
ISSN
2199-1154
Abstract
Author(s): Andrew D. Xia [sup.1] , Caroline P. Schaefer [sup.2] , Agota Szende [sup.3] , Elke Jahn [sup.4] , Matthew J. Hirst [sup.1] Author Affiliations: (1) Mundibiopharma Limited, , Cambridge, [...]
Objectives Real-world evidence (RWE) is essential for the development of pharmaceutical and medical technologies and informs treatment-related decisions by regulatory agencies, payers, healthcare providers, and patients. Given that planning RWE studies present diverse challenges, we developed the RWE Framework, a concise, visual, interactive tool designed to align multidisciplinary stakeholders toward common goals and encourage a methodical approach to RWE study planning. Methods A search of published literature and internet-based resources was performed to identify guidance on RWE study planning with decision and/or visual aids. A conceptual framework for a study design tool was developed based on best practices for RWE studies, enhanced with an infographic design, and refined by multidisciplinary input from RWE researchers. Results The searches confirmed an unmet need for a concise tool to support a broad range of RWE study designs: only two sources with decision/visual aids were identified. The novel RWE Framework comprises sequential decision steps with instructions to guide users through consideration of research objectives, product approval status, study setting, outcomes of interest, data availability in routine practice, need for primary data collection and/or randomization, study type and methodology, and applicable regulatory standards. Pilot testing using case studies of pharmaceutical assets demonstrated the utility of RWE Framework and applicability for use in team environments. Conclusions The RWE Framework is a novel, concise, visual, and interactive tool to inform RWE study planning. It addresses a broad range of real-world study types and research objectives and was found to enhance RWE decision-making by multidisciplinary teams. Further validation is warranted.
Objectives Real-world evidence (RWE) is essential for the development of pharmaceutical and medical technologies and informs treatment-related decisions by regulatory agencies, payers, healthcare providers, and patients. Given that planning RWE studies present diverse challenges, we developed the RWE Framework, a concise, visual, interactive tool designed to align multidisciplinary stakeholders toward common goals and encourage a methodical approach to RWE study planning. Methods A search of published literature and internet-based resources was performed to identify guidance on RWE study planning with decision and/or visual aids. A conceptual framework for a study design tool was developed based on best practices for RWE studies, enhanced with an infographic design, and refined by multidisciplinary input from RWE researchers. Results The searches confirmed an unmet need for a concise tool to support a broad range of RWE study designs: only two sources with decision/visual aids were identified. The novel RWE Framework comprises sequential decision steps with instructions to guide users through consideration of research objectives, product approval status, study setting, outcomes of interest, data availability in routine practice, need for primary data collection and/or randomization, study type and methodology, and applicable regulatory standards. Pilot testing using case studies of pharmaceutical assets demonstrated the utility of RWE Framework and applicability for use in team environments. Conclusions The RWE Framework is a novel, concise, visual, and interactive tool to inform RWE study planning. It addresses a broad range of real-world study types and research objectives and was found to enhance RWE decision-making by multidisciplinary teams. Further validation is warranted.