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Clustering and Healthcare Costs With Multiple Chronic Conditions in a US Study.
Cother Hajat1, Yakir Siegal2, Amalia Adler-Waxman3
1Public Health Institute, United Arab Emirates (UAE) University, Al Ain, United Arab Emirates.
Frontiers in Public Health
|February 8, 2021
Summary
Multiple chronic conditions (MCCs) affect nearly half of insured US patients, significantly increasing healthcare costs. A multi-condition approach is recommended for health system redesign to manage these complex patient needs.
Area of Science:
- Health Economics
- Public Health
- Chronic Disease Management
Background:
- Multiple chronic conditions (MCCs) represent a significant burden on healthcare systems.
- Understanding the cost drivers and common condition clusters is crucial for effective resource allocation.
Purpose of the Study:
- To investigate healthcare costs and their contributors for patients with MCCs.
- To identify common clusters of chronic conditions and their impact on healthcare utilization and spending.
Main Methods:
- Cross-sectional analysis of US financial claims data (Medicare, Medicaid, Commercial) from 2015.
- Inclusion of 1,878,951 patients, weighted to represent the US population.
- Unsupervised (k-means) clustering analysis to identify condition groups and their associated costs.
Main Results:
- Nearly half (49.6%) of patients had MCCs, with mean annual spending of $12,601.
- Spending increased significantly with the number of conditions, particularly for inpatient and outpatient services.
- Common clusters included metabolic syndrome, age-related diseases, renal failure, respiratory disorders, cardiovascular disease (CVD), cancers, mental health conditions, and HIV/AIDS.
Conclusions:
- MCCs are prevalent and associated with increased healthcare utilization and costs.
- Findings support a health system redesign focused on managing clusters of chronic conditions.
- Cost-containment strategies for MCCs are essential for sustainable healthcare.
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