Affiliation:
1. Department of Value, Evidence, and Outcomes (VEO) & Global Patient Safety, Eli Lilly & Company, Indianapolis, IN 46285, USA
Abstract
Aim:
The credibility and value of real-world evidence (RWE) are either supported or undermined by the algorithms (i.e., operational definitions) used.
Methods:
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.
Results:
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.
Conclusion:
The importance of stakeholder guidance on fit-for-purpose RWE algorithms is growing. We highlight gaps that future guidance and stakeholder recommendations could address.
Publisher
Becaris Publishing Limited
Reference67 articles.
1. Good practices for real-world data studies of treatment and/or comparative effectiveness: recommendations from the joint ISPOR-ISPE Special Task Force on real-world evidence in health care decision making;Berger ML;Value Health,2017
2. Reporting to improve reproducibility and facilitate validity assessment for healthcare database studies V1.0;Wang SV;Value Health,2017
3. Daniel G Silcox C Bryan J McClellan M Romine M Frank K. Characterizing RWD quality and relevancy for regulatory purposes. Duke-Margolis Center for Health Policy Washington DC USA (2018) (Accessed 8 May 2021). https://healthpolicy.duke.edu/sites/default/files/2020-03/characterizing_rwd.pdf
4. Mahendraratnam N Eckert J Mercon K Understanding the need for non-interventional studies using secondary data to generate real-world evidence for regulatory decision making and demonstrating their credibility (2019) (Accessed 8 May 2021). https://healthpolicy.duke.edu/publications/understanding-need-non-interventional-studies-using-secondary-data-generate-real-world
5. Mahendraratnam N Silcox C Mercon K Determining real-world data's fitness for use and the role of reliability (2019) (Accessed 8 May 2021). https://healthpolicy.duke.edu/publications/determining-real-world-datas-fitness-use-and-role-reliability
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献