The Cohort Explorer feature in NeuroBlu, a powerful clinical analytics platform to explore the world’s richest real-world behavioral health database, is designed to refine and visualize cohorts without coding. Leaders in behavioral health research and drug development can use Cohort Explorer to build cohorts, analyze patterns and outliers within cohorts, and accelerate decision-making around study feasibility and direction.
In this use case, two cohorts were examined; patients diagnosed with major depressive disorder (MDD) and substance use disorders (SUDs) and patients with MDD only. Substance use disorders (SUDs) are commonly comorbid with major depressive disorder (MDD); patients with MDD and SUDs are typically more vulnerable, at higher risk for hospitalization, and are underrepresented in clinical trials. There is an urgent need to better understand the unique characteristics of this population and to identify the most effective treatment strategies for individuals diagnosed with both MDD and SUDs.
Read the use case to understand how Cohort Explorer was used to conduct an analysis assessing characteristics, similarities, and differences between these two cohorts and to inform which aspects of these cohorts could merit further investigation in a formal research study.
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