학술논문

Understanding High-Utilizing Patients Based on Social Risk Profiles: a Latent Class Analysis Within an Integrated Health System.
Document Type
Letter
Source
JGIM: Journal of General Internal Medicine. Jul2020, Vol. 35 Issue 7, p2214-2216. 3p. 2 Charts.
Subject
*INSTITUTIONAL review boards
*MEDICAL care use
Language
ISSN
0884-8734
Abstract
Data on chronic conditions and clinical diagnoses is used to predict patient outcomes and utilization of health services and subsequently shapes clinical care.[1] Despite strong associations between social risks and health outcomes, little is known about advancing social care practices in healthcare settings. DISCUSSION Our study found that in a predicted high healthcare utilization patient sample, latent classes emerge based on endorsed social risks. [Extracted from the article]