Upping the Migraine Intelligence Quotient: RWD sheds light on prevalence rates, providers and treatment variation
This white paper presents findings from the PurpleLab Migraine Study, which leverages real-world data to analyze migraine prevalence, treatment variations, and provider insights. The study examines data from approximately 10 million Americans diagnosed with migraines, focusing on patient demographics, treatment pathways, and healthcare provider specialties. Key findings include the high prevalence of migraines among females aged 18-54, racial and ethnic disparities in treatment, and the significant role of specialized providers like psychiatrists and neurologists in managing migraine care. It highlights the importance of tailored treatment approaches and the potential benefits of complementary and alternative medicine therapies.
Optimizing Phase III Oncology Trial Recruitment with Data-Driven Insights
February 3rd 2025A pharmaceutical company aimed to launch a Phase III clinical trial for a new oncology drug, focusing on efficient and effective patient recruitment across diverse regions. They evaluated patient populations by analyzing demographics, social determinants of health, and geography. Investigator profiling included practice details, affiliations, referral networks, and clinical trial experience. The final step involved selecting and extracting target lists for implementation.
Data-Driven Insights can Optimize Clinical Trial Site Selection
February 3rd 2025Clinical trials are crucial for drug development but often face delays due to poor site selection, which can lead to protocol violations, poor data quality, and increased costs. Ninety percent of clinical trials fail to meet their timelines, and issues like inadequate staffing and patient recruitment are significant challenges. Traditional site selection methods are inefficient, and the COVID-19 pandemic has further complicated the process. Data-driven insights can optimize site selection by evaluating current data on patient populations, investigators, and site capabilities.
Patient Engagement Platform Checklist
November 22nd 2024Modern clinical trials are more complex than ever, and one significant reason is the increased focus on patient engagement. Incorporating a patient engagement platform into your clinical trial enhances the patient experience and can lead to more successful trials with stronger, more reliable outcomes. We put together this helpful checklist of key features to look out for when choosing a platform for your study.
The Rise of Predictive Engagement Tools in Clinical Trials
November 22nd 2024Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.
