Review of drug utilization research based on real-world data / 药学实践与服务

ABSTRACT

In recent years, the rapid development of medical information technology has made it critical to analyze large-scale diagnosis and therapeutic data and extract rules based on real medical environment. This has become an essential approach for marketing evaluation and regulatory decision-making of drugs and devices both domestically and internationally. Real world study （RWS）, as a novel methodology for clinical evaluation of drugs in the field of drug utilization research （DUR）, have presented opportunities and challenges for observational studies in assessing actual efficacy or effectiveness. However, despite being a popular methodological approach among scholars in the field, there are still limitations and deficiencies when analyzing population medication characteristics in RWS. Systematic evaluation research methods have not yet been established, leading to inadequate generation of real-world evidence （RWE）. The research design, methodological pathways, evaluation indicators, confounding factors, and bias management involved in DUR based on real-world data （RWD） were reviewed in this artical with the intention of providing guidance for further exploration into DUR.