Finding ways to improve participation of communities of color in lung cancer clinical trials
The Study
STRIDES was started to discover strategies to improve participation of communities of color in lung cancer clinical trials. The study will focus on obtaining better understanding of the barriers to clinical trial participation among Black patients in Alabama, Tennessee, and Georgia. Initially, the project will survey and interview different people who play a role in the clinical trial process, from patients to doctors, to find out what items contribute to decreased clinical trial participation among Black patients in th
CHSR receives NIH funding to implementation a clinical risk prediction tool
Sunil Kripalani, MD, MSc is part of a multiple-PI team, including Alan Storrow, MD and Dandan Liu, PhD, that was awarded a four-year R01 grant from NIH/NHLBI titled "Tailored dissemination and implementation of emergency care clinical decision support to improve emergency department disposition". The study team aims to implement a prediction tool (STRATIFY) in the EHR that identifies ED patients with acute heart failure that may be safe to discharge.
STAR Clinical Trials Network Program Renewed
Russell Rothman, MD, MPP and colleagues received funding approval for the The Stakeholders, Technology and Researchers Clinical Research Network (STAR CRN), supporting the next phase of the National Patient-Centered Clinical Research Network (PCORnet). The objective of this CRN is to support projects in comparative effectiveness research, pragmatic clinical trials, and other research areas
Tailored dissemination and implementation of emergency care clinical decision support to improve emergency department disposition
NIH Reporter Link
Over 80% of emergency department (ED) patients with acute heart failure (AHF) are admitted to the hospital, with only 10% at high-risk for in-hospital events. We developed and validated a prediction rule (STRATIFY) that identifies ED patients with AHF that may be safe to discharge. If successfully implemented, it will save substantial resources without sacrificing patient outcomes and help institutions achieve goals for accountable care.
