Assessing Real-World Data Quality: The Application of Patient Registry Quality Criteria to Real-World Data and Real-World Evidence

Abstract

The use of real-world data and real-world evidence to inform health care decisions is increasing. Yet, the variable quality of these data and the lack of widely-accepted criteria by which to assess quality create uncertainty about how and when to use these data and the associated evidence in decision making. Patient registries are an important source of real-world data and real-world evidence. The good practices and evaluation criteria developed for patient registries are highly relevant to real-world data and real-world evidence and offer a foundation for a unified set of quality criteria that can be applied across sources of real-world data and real-world evidence intended for use in medical product evaluation.