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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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[Real-world evidence vs EBM: what does real-world data add?]

Authors: Franchi M.; Corrao G.;

[Real-world evidence vs EBM: what does real-world data add?]

Abstract

Although randomized clinical trials (RCTs) offer the highest level of scientific evidence, they are unable to evaluate the impact of treatments in the routine clinical practice. The heterogeneity of socio-demographic and clinical characteristics of patients, as well as the complexity of treatments, explain the gap between the effect observed in RCTs and its impact in the real-world setting. As compared to conventional trials, pragmatic RCTs are conducted in a setting as similar as possible to that of clinical practice, but they are not always able to narrow this gap. For this reasons, methods aimed to produce evidence on the impact of healthcare pathways in the real-world (i.e., real-world evidence) are of growing interest. In particular, those based on the Electronic Healthcare Utilization (EHU), including administrative databases on the healthcare services provided to beneficiaries of the National Health System, are receiving increasing consideration from both the scientific community and healthcare decision-makers. In this article, we described characteristics and research areas where EHU databases may be particularly useful, along with strengths and limits of this approach. In conclusion, EHU data should not replace RCTs, but they represent a powerful tool for integrating RCTs and for supporting healthcare decision-makers.

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Italy
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Keywords

Real-world data; Real-world evidence;, Databases, Factual, Humans, Delivery of Health Care, Randomized Controlled Trials as Topic

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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