Ethnoracial Disparity in Hospital Survival following Transjugular Intrahepatic Portosystemic Shunt Creation for Acute Variceal Bleeding in the United States

Health Services Research: A Review for the Interventional Radiologist

Health services research (HSR) is a multidisciplinary field which studies access to drivers of health care service utilization, the quality and cost of services, and their outcomes on groups of patients. Since its foundations in the 1960s, there has been a large focus on HSR and using large data sets to study real-world care. Because interventional radiology (IR) is a dynamic field with foundations in innovation, research often focuses on small-scale projects. This review will discuss HSR including data sources, focus areas, methodologies, limitations, and opportunities for future directions in IR.

Healthcare Disparities in Interventional Radiology

Racial, ethnic, and sex-based healthcare disparities have been documented for the past several decades. Nonetheless, disparities remain firmly entrenched in our care delivery systems, with multiple contributing factors, including patient interactions with care providers, systemic barriers to access, and socioeconomic determinants of health. Interventional radiology is also subject to these drivers of health inequity. In this review, documented disparities for the most common conditions being addressed by interventional radiologists are summarized; their magnitude is quantified where relevant, and underlying drivers are identified. Specific examples are provided to illustrate how medical, cultural, and socioeconomic factors interact to produce unequal outcomes. By outlining known disparities and common contributors, this review aims to motivate future efforts to mitigate them.

A Practical Guide to Use of Publicly Available Data Sets for Observational Research in Interventional Radiology

Observational data research studying access, utilization, cost, and outcomes of image-guided interventions using publicly available "big data" sets is growing in the interventional radiology (IR) literature. Publicly available data sets offer insight into real-world care and represent an important pillar of IR research moving forward. They offer insights into how IR procedures are being used nationally and whether they are working as intended. On the other hand, large data sources are aggregated using complex sampling frames, and their strengths and weaknesses only become apparent after extensive use. Unintentional misuse of large data sets can result in misleading or sometimes erroneous conclusions. This review introduces the most commonly used databases relevant to IR research, highlights their strengths and limitations, and provides recommendations for use. In addition, it summarizes methodologic best practices pertinent to all data sets for planning and executing scientifically rigorous and clinically relevant observational research.