Proceed with Caution When Using Real World Data and Real World Evidence.
- Author:
Hun Sung KIM
1
;
Ju Han KIM
Author Information
- Publication Type:Randomized Controlled Trial ; Brief Communication
- Keywords: Real World Data; Real World Evidence; Electronic Medical Record; Randomized Control Trial; Clinical Research; Cohort Study
- MeSH: Bias (Epidemiology); Cohort Studies; Data Accuracy; Electronic Health Records; Sample Size
- From:Journal of Korean Medical Science 2019;34(4):e28-
- CountryRepublic of Korea
- Language:English
- Abstract: Clinical studies can be conducted to gather real world evidence (RWE) not available from randomized controlled trials, providing new information and knowledge. Although the concept of RWE emerged relatively recently, numerous clinical studies are utilizing it. However, many researchers are engaging in trial and error that may not overcome the various biases that occur in electronic medical record (EMR)-based RWE studies. While RWE can reflect the real world, there are still limitations to its acceptance. There are many hurdles in using RWE and solutions must be explored. Results based on RWE may be overestimated and it can be difficult to derive good quality results. This paper discusses data quality management, direct chart review, sample size, study design, and the interpretation of EMR-based RWE. More specifically, this paper shares the experience of the various hurdles that occur when conducting RWE studies and discusses the easy-to-false errors. RWE is still in the developmental stage and numerous aspects of RWE use remain unclear. Nonetheless, despite its many limitations, increasing use of RWE is still anticipated. This will require continued experience and effort in using RWE, as well as upgrading RWE research through the accumulation of information on such experiences and efforts.
