Identifying Subgroups of Adult Superutilizers in an Urban Safety-Net System Using Latent Class Analysis

Abstract

The overall cohort had high rates of multiple chronic medical conditions, MH, substance use disorders, and homelessness. However, the patterns of these conditions were different between subgroups, providing important information for tailoring interventions.