Assessing the impact of social determinants of health on predictive models for potentially avoidable 30-day readmission or death.

ABSTRACT:

Objectives

Early hospital readmissions or deaths are key healthcare quality measures in pay-for-performance programs. Predictive models could identify patients at higher risk of readmission or death and target interventions. However, existing models usually do not incorporate social determinants of health (SDH) information, although this information is of great importance to address health disparities related to social risk factors. The objective of this study is to examine the impact of social determinants of health on predictive models for potentially avoidable 30-day readmission.

Methods

We extracted electronic health record data for 19,941 hospital admissions between January 2015 and November 2017 at an academic medical center in New York City. We applied the Simplified

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC7316307 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature