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Erschienen in: Journal of General Internal Medicine 7/2020

09.01.2020 | Concise Research Report

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

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

Erschienen in: Journal of General Internal Medicine | Ausgabe 7/2020

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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. …
Literatur
Metadaten
Titel
Understanding High-Utilizing Patients Based on Social Risk Profiles: a Latent Class Analysis Within an Integrated Health System
verfasst von
Artair Rogers, MS
Yi R. Hu, MS
Adam Schickedanz, MD, PhD
Laura Gottlieb, MD, MPH
Adam Sharp, MD, MS
Publikationsdatum
09.01.2020
Verlag
Springer International Publishing
Erschienen in
Journal of General Internal Medicine / Ausgabe 7/2020
Print ISSN: 0884-8734
Elektronische ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-019-05510-9

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