Addressing Health Disparities using Social Determinants of Health: A Descriptive Analytics Approach

Abstract

Purpose: This paper explores Social Determinants of Health (SDOH) data and its implications using descriptive data analytics. The analysis aims to help healthcare organizations understand the trends and impact on the industry and develop strategies to resolve disparities and eventually reduce healthcare costs.
 Methodology: This paper uses descriptive data analytics to analyze Social Determinants of Health (SDOH) data and its implications. The study focuses on the Centers for Disease Control and Prevention's (CDC) five critical areas of SDOH: healthcare quality and access, education quality and access, economic stability, social and economic context, and built and neighborhood environment.
 Findings: Health equity remains a significant challenge in the world and the United States, with persistent inequalities and injustice among different populations. Failure to address health equity issues could lead to social problems, including violent crimes, alcohol, and substance abuse, and potentially a global pandemic, which could significantly impact healthcare systems and increase costs. According to a report published by Deloitte, inequities in the United States cost more than 300 billion dollars in 2022. If not addressed, they could account for more than a trillion dollars in annual spending by 2040. Social Determinants of Health (SDOH) are critical in providing health equity and reducing disparities.
 Unique Contribution to Theory, Practice, and Policy: Understanding the implications and trends of SDOH data is crucial in developing targeted strategies to achieve health equity for all. Healthcare organizations can use this analysis's findings to establish policies and practices that address social determinants of health and reduce disparities. This, in turn, will help improve overall health outcomes and reduce healthcare costs.