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

Real-world evidence to support health technology assessment and payer decision making: is it now or never?

OBJECTIVES

The aim of this policy article is twofold: (i) to provide a summary and update of recent important policy developments, in particular relevant guidance on the use of real-world data/real-world evidence (RWD/RWE) by health technology assessment (HTA) bodies and (ii) to set out our policy recommendations on how the different elements of an "RWE framework" we have previously developed could support, further enhance and facilitate the use of RWE for HTA purposes and by HTA bodies and payers.

METHODS

We undertook a targeted review and analysis of recent important policy developments. The aim was to build on our recommendations from previous work on the "RWE Framework," and consider how the relevant tools from our Framework can further enhance and facilitate the use of RWE for HTA purposes and by HTA bodies/payers.

RESULTS

We provide eight conditions that we argue would, in combination, constitute the optimal use and acceptance of RWD/RWE for HTA. We believe that, should the eight conditions hold, RWD/RWE would enable more efficient access to medicines and healthcare technologies for patients.

CONCLUSIONS

High-quality, fit-for-purpose RWD/RWE can and should be used more frequently in HTA. Multi-stakeholder and cross-geography collaborative partnerships are needed to align on best practices to optimize the evidence that needs to be generated to satisfy all stakeholders' needs.

Public contributions to R&D of medical innovations: A framework for analysis

BACKGROUND AND OBJECTIVE

Article 57 of the proposed European Union (EU) Pharmaceutical Legislation (PL, Directive) will require market authorization applicants to publicly declare any direct financial support for R&D received from public authorities. Our research aims to identify the categories needed to capture direct or indirect public contributions to R&D, provide a framework for standardized reporting of public contributions, and reduce ambiguity in the interpretation of "direct" and "indirect" public contributions.

METHODS

An iterative mixed-methods approach is applied: a targeted literature review was conducted, complemented by interviews with representatives of different stakeholder groups to identify categories of public contributions to R&D, followed by searches for relevant data sources.

RESULTS

26 publications on primary data relevant to analyses of public contributions were identified, finding that between half of all drugs approved and >90 % of drug targets are associated with public sector institutions and/ or their spin-outs. Eight categories of public contributions to medical innovations were identified along the value chain (from basic research to post-market surveillance).

DISCUSSION AND CONCLUSION

The framework offers a structured and systematic approach for identifying data on public and philanthropic contributions to developing medical products (medicines and devices). This information is often not comprehensively documented. Therefore, aligned public policies enforcing transparent and standardized reporting in sufficient granularity on R&D investments and conditions are key.

Bridging Real-World Data Gaps: Connecting Dots Across 10 Asian Countries

The economic trend and the health care landscape are rapidly evolving across Asia. Effective real-world data (RWD) for regulatory and clinical decision-making is a crucial milestone associated with this evolution. This necessitates a critical evaluation of RWD generation within distinct nations for the use of various RWD warehouses in the generation of real-world evidence (RWE). In this article, we outline the RWD generation trends for 2 contrasting nation archetypes: "Solo Scholars"-nations with relatively self-sufficient RWD research systems-and "Global Collaborators"-countries largely reliant on international infrastructures for RWD generation. The key trends and patterns in RWD generation, country-specific insights into the predominant databases used in each country to produce RWE, and insights into the broader landscape of RWD database use across these countries are discussed. Conclusively, the data point out the heterogeneous nature of RWD generation practices across 10 different Asian nations and advocate for strategic enhancements in data harmonization. The evidence highlights the imperative for improved database integration and the establishment of standardized protocols and infrastructure for leveraging electronic medical records (EMR) in streamlining RWD acquisition. The clinical data analysis and reporting system of Hong Kong is an excellent example of a successful EMR system that showcases the capacity of integrated robust EMR platforms to consolidate and produce diverse RWE. This, in turn, can potentially reduce the necessity for reliance on numerous condition-specific local and global registries or limited and largely unavailable medical insurance or claims databases in most Asian nations. Linking health technology assessment processes with open data initiatives such as the Observational Medical Outcomes Partnership Common Data Model and the Observational Health Data Sciences and Informatics could enable the leveraging of global data resources to inform local decision-making. Advancing such initiatives is crucial for reinforcing health care frameworks in resource-limited settings and advancing toward cohesive, evidence-driven health care policy and improved patient outcomes in the region.

Expert survey on real-world data utilization and real-world evidence generation for regulatory decision-making in drug lifecycle in Korea

As the importance of utilizing real-world data (RWD)/real-world evidence (RWE) for supporting regulatory scientific decision-making continues to grow, experiences and inputs from experts become crucial for developing a systematic and practice-oriented plan for the use of fit-for-purpose RWD/RWE. This study aimed to survey relevant experts from government agencies, industries, and academia to identify prerequisites for the drug life cycle in Korea. The questionnaire comprised the following: (A) the definition and categories of RWD/RWE, (B) the suitability and feasibility of using RWD/RWE at each authorization stage by the types of RWD, and (C) the challenges and solutions for the use of RWD/RWE. A total of 46 respondents completed the online survey, with 89.1% of them having prior experience with RWD/RWE usage. A majority of respondents agreed that RWD can be obtained from various sources. Among these sources, the registry was the most suitable source. It is suitable to compensate for the limitations of randomized control trials and ensure quality in data collection. Though there was consensus among the respondents for the use of RWD/RWE in post-marketing surveillance, the use of such data in new drug application (NDA) was disagreeable. Respondents considered it necessary to write a protocol in advance for RWD collection and RWE generation, for all RWD types. In conclusion, this study examined the perceptions of experts for RWD/RWE use at each approval stage of drugs. The results suggest that guidelines for the fit-for-purpose use of RWD/RWE should be developed via careful deliberation among experts in the future.

The Real-World Evidence Workstream in EUreccA 2025: How the Task Was Addressed

This is one of a series of articles that consider the barriers to optimal use of real-world evidence (RWE) in health technology assessment (HTA) as well as ways to overcome them. The work was carried out as part of EUreccA 2025 (European Initiative for New Reimbursement and Access Approaches 2025), in particular with the RWE workstream embodied within that collaboration. The starting premises of this workstream were as follows: (1) the acceptance of RWE by HTA agencies and payers in the assessment of drugs is suboptimal and variable between jurisdictions, and (2) if that were not the case, the path of new pharmaceuticals to patients could be quicker and less expensive. Elsewhere in this issue we set out the conclusions we had reached in the EUreccA RWE workstream. In this article, we set out the methodology used to conduct the totality of the EureccA 2025 RWE workstream effort, which led us to those conclusions. The main results, strengths, and limitations of the individual parts are discussed further in separate articles in this supplement. Through scoping work, we generated 4 key topics within which to identify and address the barriers to optimal RWE use in HTA. Through pragmatic literature searches, stakeholder engagement, and case studies, we suggest ways in which the problems identified may be addressed as a contribution to progress in this area.

Structure and Content of a Taxonomy to Support the Use of Real-World Evidence by Health Technology Assessment Practitioners and Healthcare Decision Makers

This is one of a series of articles that consider the barriers to optimal use of real-world evidence (RWE) in health technology assessment and how to overcome them. The work was performed as part of EUreccA 2025, in particular with the RWE workstream embodied within that collaboration. Elsewhere in this issue we described the reasoning and process that led us to develop practical tools to support RWE use, including this taxonomy and explained the methods used to do so. The taxonomy classifies questions that are typically addressed using real-world data in health technology assessment and the data sources typically used to address these questions. In this article, we describe the taxonomy itself. For as many of the pairings as possible, we have provided links to advice and methods on how to address the associated question using those data. We have also provided links to examples of RWE use in practical decision making to answer the questions posed. Our work is not complete, but we believe it is sufficient to demonstrate the value of such a taxonomy and information source if it is completed and curated as a "wiki" by the community that would use it.