Exploring Emulated Clinical Trials: Bridging the Gap Between RCTs and Real-World Evidence

Randomized clinical trials (RCTs) represent the most rigorous and robust research method for determining whether a cause–effect relation exists between an intervention and an outcome. However, RCTs are costly, slow, and often impractical to generate evidence for many important research questions.   In the evolving landscape of healthcare research, the concept of emulated clinical trials… Continue reading Exploring Emulated Clinical Trials: Bridging the Gap Between RCTs and Real-World Evidence

Misleading Notions of "Regulatory-Grade" Data in Real-World Evidence Research

The concept of “regulatory-grade” data it has been used to describe data that meets the requirements necessary for regulatory decision-making in real world evidence (RWE) research. This term suggests that the data is of high quality, reliability, and integrity, suitable for supporting regulatory submissions and decisions regarding the safety, efficacy, and quality of medical products.… Continue reading Misleading Notions of "Regulatory-Grade" Data in Real-World Evidence Research

Exploring Social Determinants of Health and Their Significance in Real-World Evidence Research

In public health, the concept of social determinants of health (SDOH) has gained significant attention as a key factor influencing individual and community well-being. Unlike the more traditional focus on medical care and genetic factors, SDOH encompasses the broader socio-economic conditions that affect health outcomes. This post explores the various aspects of SDOH, their impact,… Continue reading Exploring Social Determinants of Health and Their Significance in Real-World Evidence Research

Understanding Fit-for-Purpose in Real-World Data Research

Fit-for-purpose refers to data that is appropriately suited to meet the specific objectives and requirements of a research study. It emphasizes the need for data to be not only available but also relevant, reliable, and capable of answering the research questions accurately and efficiently. Key Characteristics of Fit-for-Purpose Data 1. Relevance: The data must be… Continue reading Understanding Fit-for-Purpose in Real-World Data Research

Is the Rise of E-Patients Transforming Real-World Evidence?

The landscape of healthcare is evolving and the advancement of technology has transformed significantly the role of patients. In the era of digital health and with the advent of electronic health records (EHRs), wearable devices, health apps, and online patient communities, individuals are more empowered and engaged in their healthcare than ever before. These empowered… Continue reading Is the Rise of E-Patients Transforming Real-World Evidence?