4.6 Article

Data Governance for Real-World Data Management: A Proposal for a Checklist to Support Decision Making

Journal

VALUE IN HEALTH
Volume 26, Issue 4, Pages 32-42

Publisher

ELSEVIER SCIENCE INC

Keywords

data governance; real-world data; real-world evidence

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The study aims to propose international standards for evaluating the acceptability of RWD governance practices. A checklist covering topics such as data privacy and security, data management and linkage, data access management, and the generation and use of RWE was created through literature review and Delphi panel discussions. Experts demonstrated consensus and importance ratings for the statements in each topic. A refined checklist was suggested to ensure the quality and integrity of RWD/RWE governance.
Objectives: Real-world data (RWD) and real-world evidence (RWE) can provide extensive information on healthcare for use in health technology assessment and decision making. Nevertheless, there is a lack of consensus surrounding the appropriate data governance (DG) practices for RWD/RWE. Data sharing is also a large concern, especially considering evolving data protection regulations. Our objective is to propose recommendations for international standards of evaluating the acceptability of RWD governance practices. Methods: After reviewing the literature, we created a checklist targeting DG practices for RWD/RWE. We then carried out a 3-round Delphi panel, including European policy makers, health technology assessment experts, and hospital managers. The consensus for each statement was measured and the checklist adjusted accordingly. Results: The literature review identified the main topics regarding RWD/RWE DG practices: data privacy and security, data management and linkage, data access management, and the generation and use of RWE. Members of the Delphi panel (21 experts/25 invited) were presented a total of 24 statements related to each of the topics. Experts demonstrated a progressive level of consensus and importance ratings in all topics and to most statements. We suggest a refined checklist in which the statements rated less important or with less consensus have been removed. Conclusions: This study suggests how the DG of RWD/RWE could be qualitatively evaluated. We propose checklists that could be used by all RWD/RWE users to help ensure the quality and integrity of RWD/RWE governance and complement data protection law.

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