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Real-world data and evidence in health technology assessment: When are they complementary, substitutes, or the only sources of data compared to clinical trials? | LitMetric

AI Article Synopsis

  • - The significance of real-world data (RWD) in health technology assessments is increasing, as advancements in connected devices and data collection methods allow for better insights into treatment effects, potentially surpassing traditional clinical trial data in relevance.
  • - A round table of experts aimed to clarify the current role of RWD by identifying its main purposes, evaluation timing, and the stakeholders involved in RWD studies.
  • - The discussion concluded with six recommendations to enhance the application of RWD in health technology assessment and decision-making processes.

Article Abstract

Within the life-cycle assessment of health technologies, real-world data (RWD) have until now been of secondary importance to clinical trial data. The availability of massive, better quality RWD, particularly with the emergence of connected devices, the improvement of methods for characterizing populations, make it possible to have a better insight into the effects of treatment, sometimes on a national scale the importance of RWD is likely to progress in the eyes of health technology assessors, going from being traditionally complementary to possibly replacing clinical trial data. This is the fundamental question that the round table, involving experts from the academic and/or hospital, institutional, and industrial worlds, set out to answer. This work served first to establish the current role of RWD in health technology assessment, by distinguishing the main purposes of RWD, the timing of the evaluation in relation to the life cycle of the technology, and then according to the party commissioning or receiving the outcomes of RWD-based studies. Secondly, the round table proposed six general recommendations for more intensive and decisive use of RWD in the assessment and decision-making process.

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Source
http://dx.doi.org/10.1016/j.therap.2022.11.001DOI Listing

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