Disparities in cardiovascular disease outcomes and economic burdens among minorities in southeastern Virginia.

Abstract

Background: Cardiovascular diseases are the leading cause of mortality in the United States, presenting significant public health challenges and financial burdens, particularly in Southeastern Virginia, where African American and Hispanic (AA&H) populations are disproportionately affected.

Methods: This retrospective observational study analyzed data from 30,855 hospital discharges of AA&H patients across Southeastern Virginia from 2016 to 2020, focusing on individuals aged 18 to 85 with cardiovascular diseases. Utilizing the Virginia Health Information database, we examined demographic information, clinical data, and healthcare utilization patterns through hypothesis tests and regression models to explore associations between these variables and the economic impacts of cardiovascular diseases.

Results: Heart failure and shock (47.2% of discharges) and cardiac arrhythmia and conduction disorders (12.3%) were the most prevalent cardiovascular conditions. Female patients incurred significantly higher charges than males across conditions (7.1% higher in heart failure, p < 0.0001; 8.8% higher in chest pain, p < 0.01). Younger patients (< 65 years) faced 8.5% higher charges for cardiac arrhythmia with procedures (p < 0.0001) and 5.2% higher charges for circulatory disorders (p < 0.05). Year of discharge consistently predicted increasing costs (standardized coefficient 0.816 for acute myocardial infarction, p < 0.0001). The presence of fluid and electrolyte disorders was associated with significantly higher charges across conditions (standardized coefficient 0.042 for heart failure, p < 0.0001; 0.051 for acute myocardial infarction, p < 0.0001).

Discussion: The findings highlight the complex interplay between demographic characteristics and healthcare costs among AA&H populations, underscoring the need for targeted interventions. The significant economic impact observed calls for culturally competent healthcare strategies that can mitigate high costs and improve health outcomes. However, the retrospective, administrative nature of the data limits establishing causality, with potential misclassification of some conditions.

Conclusion: This study provides crucial insights into cardiovascular disease management's demographic and economic dimensions among AA&H populations in Southeastern Virginia. By identifying key factors contributing to healthcare disparities, the research supports the development of tailored interventions aimed at reducing the burden of cardiovascular diseases, thereby improving overall health equity and reducing economic strains on the healthcare system.