A review of stakeholder recommendations for defining fit-for-purpose real-world evidence algorithms

The credibility and value of real-world evidence (RWE) are either supported or undermined by the algorithms (i.e., operational definitions) used. We conducted a targeted evidence review of key RWE decision makers' published recommendations on RWE algorithms through April 2021. Stakeholders were...

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Veröffentlicht in:Journal of comparative effectiveness research 2022-05, Vol.11 (7), p.499-511
Hauptverfasser: Beyrer, Julie, Abedtash, Hamed, Hornbuckle, Kenneth, Murray, James F
Format: Artikel
Sprache:eng
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Zusammenfassung:The credibility and value of real-world evidence (RWE) are either supported or undermined by the algorithms (i.e., operational definitions) used. We conducted a targeted evidence review of key RWE decision makers' published recommendations on RWE algorithms through April 2021. Stakeholders were regulatory bodies, other governmental agencies and payer organizations. Our review identified recommended criteria: relevance, validity, reliability, responsiveness, transparency and replicability, safety, feasibility and quality process. Stakeholders routinely recommended accuracy measures, subgroups evaluation and specific considerations for assessing exposures and covariates and the underlying real-world data (RWD) quality. The importance of stakeholder guidance on fit-for-purpose RWE algorithms is growing. We highlight gaps that future guidance and stakeholder recommendations could address.
ISSN:2042-6305
2042-6313
DOI:10.2217/cer-2022-0006