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Assessing the Association Between Network-based Provider Communities and Patient Mortality in the Medicare Population
Yoonyoung Park1, Panagiotis D Karampourniotis1, Issa Sylla1
1IBM Research, Cambridge MA.
Summary
Network analysis reveals that the centrality of primary care providers (PCPs) is linked to patient mortality. Strengthening PCP connections may improve care delivery and reduce deaths in complex patient populations.
Area of Science:
- Health Services Research
- Network Science
- Computational Epidemiology
Background:
- Managing patients with multiple chronic conditions presents significant care delivery and coordination challenges.
- Understanding provider relationships is crucial for improving patient outcomes.
Purpose of the Study:
- To apply network analysis to model provider relationships and identify factors associated with patient mortality.
- To investigate the role of primary care provider (PCP) centrality in patient outcomes.
Main Methods:
- Constructed a provider network based on shared patients.
- Utilized community detection algorithms to partition the network.
- Analyzed the association between degree centrality ratio (PCPs vs. non-PCPs) and patient mortality, adjusting for patient characteristics.
Main Results:
- A higher degree centrality ratio for PCPs was associated with a reduced odds of death (OR 0.95; 95% CI 0.92-0.98) per standard deviation increase.
- Network analysis identified higher-order network features beyond patient-level data that correlate with health outcomes.
Conclusions:
- The centrality of primary care providers in healthcare networks is a potentially modifiable factor for enhancing care delivery.
- Network analysis offers a valuable approach to uncovering complex relationships influencing patient mortality and health outcomes.
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