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01-07-2020 | Concise Research Report

Understanding High-Utilizing Patients Based on Social Risk Profiles: a Latent Class Analysis Within an Integrated Health System

Authors: Artair Rogers, MS, Yi R. Hu, MS, Adam Schickedanz, MD, PhD, Laura Gottlieb, MD, MPH, Adam Sharp, MD, MS

Published in: Journal of General Internal Medicine | Issue 7/2020

Excerpt

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. This study explores how social risks cluster by type and frequency to better understand how patterns of social risks may be associated with chronic conditions and healthcare utilization with the aim to improve care for patients and communities. …

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Title: Understanding High-Utilizing Patients Based on Social Risk Profiles: a Latent Class Analysis Within an Integrated Health System
Authors: Artair Rogers, MS
Yi R. Hu, MS
Adam Schickedanz, MD, PhD
Laura Gottlieb, MD, MPH
Adam Sharp, MD, MS
Publication date: 01-07-2020
Publisher: Springer International Publishing
Published in: Journal of General Internal Medicine / Issue 7/2020
Print ISSN: 0884-8734
Electronic ISSN: 1525-1497
DOI: https://doi.org/10.1007/s11606-019-05510-9

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