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212 Proof of Concept: An EHR-fueled Risk Surveillance Tool for Managing Care Delivery Equity in Hospitalized African Americans with Congestive Heart Failure

Published online by Cambridge University Press:  24 April 2023

Tremaine B Williams
Affiliation:
Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
Alisha Crump
Affiliation:
Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America Department of Epidemiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
Maryam Y. Garza
Affiliation:
Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
Nadia Parker
Affiliation:
Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
Simeon Simmons
Affiliation:
Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
Riley Lipchitz
Affiliation:
Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
Kevin Wayne Sexton
Affiliation:
Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America Department of Surgery, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America Department of Health Policy and Management, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America
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Abstract

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OBJECTIVES/GOALS: 1) Characterize racial differences in congestive heart failure care delivery. 2) Examine the extent to which specific clinical roles were associated with improved care outcomes (i.e., hospitalizations, readmissions, days between readmissions, and charges) of African Americans (AA) with CHF. METHODS/STUDY POPULATION: EMR data was extracted from the Arkansas Clinical Data Repository (AR-CDR) on patients (ages 18-105) who received care between January 1, 2014 and December 31, 2021. Variables included age, sex, race, ethnicity, rurality, clinical diagnosis, morbidities, medical history, medications, heart failure phenotypes, and care delivery team composition. Binomial logistic regression ascertained the effects of these variables on patient’s care outcomes. A Mann Whitney-U test identified racial differences in outcomes. Psychometrically, classical test theory and item response theory assessed items for the risk surveillance tool. RESULTS/ANTICIPATED RESULTS: The study identified 5,962 CHF patients who generated 80,921 care encounters. The results revealed the disproportionate impact of CHF prevalence, hospitalizations, and readmissions on AAs. AAs had a significantly higher number of hospitalizations (i.e., 50% more) than Caucasians. Specific clinical roles (i.e., MDs, RNs, Care Managers) were consistently associated with 30% or greater decrease in odds of hospitalization and readmission, even when stratified by heart failure phenotype. Classical test theory results (e.g., Cronbach’s alpha; 0.88) indicated the set of items on the risk surveillance tool accurately reflect a patient risk for improved outcomes. DISCUSSION/SIGNIFICANCE: The findings stimulate the need for 1) EHR-based tools that manage care delivery equity and 2) investigations of specific clinical roles in risk stratifying and operationalizing the care plans of AAs, advancing formal access-to-care frameworks by ensuring access to clinical roles that are associated with improved outcomes.

Type
Health Equity and Community Engagement
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s), 2023. The Association for Clinical and Translational Science