Identifying Subgroups of Adult Superutilizers in an Urban Safety-Net System Using Latent Class Analysis: Implications for Clinical Practice.

ABSTRACT:

Background

Patients with repeated hospitalizations represent a group with potentially avoidable utilization. Recent publications have begun to highlight the heterogeneity of this group. Latent class analysis provides a novel methodological approach to utilizing administrative data to identify clinically meaningful subgroups of patients to inform tailored intervention efforts.

Objective

The objective of the study was to identify clinically distinct subgroups of adult superutilizers.

Research design

Retrospective cohort analysis.

Subjects

Adult patients who had an admission at an urban safety-net hospital in 2014 and 2 or more admissions within the preceding 12 months.

Measures

Patient-level medical, mental health (MH) and substance use diagnoses, social c

SUBMITTER: Rinehart DJ 

PROVIDER: S-EPMC5406260 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature