Assessing the Association Between Network-based Provider Communities and Patient Mortality in the Medicare Population with Multiple Chronic Conditions.

Autor:	Park Y; IBM Research, Cambridge MA., Karampourniotis PD; IBM Research, Cambridge MA., Sylla I; IBM Research, Cambridge MA., Yuen-Reed G; IBM Watson Health, Tampa FL., Das AK; IBM Research, Cambridge MA.
Jazyk:	angličtina
Zdroj:	AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science [AMIA Jt Summits Transl Sci Proc] 2022 May 23; Vol. 2022, pp. 369-378. Date of Electronic Publication: 2022 May 23 (Print Publication: 2022).
Abstrakt:	Understanding the complexity of care delivery and care coordination for patients with multiple chronic conditions is challenging. Network analysis can model the relationship between providers and patients to find factors associated with patient mortality. We constructed a network by connecting the providers through shared patients, which was then partitioned into tightly connected communities using a community detection algorithm. After adjusting for patient characteristics, the odds ratio of death for one standard deviation increase in degree centrality ratio between primary care providers (PCPs) and non-PCPs was 0.95 (0.92-0.98). Our result suggest that the centrality of PCPs may be a modifiable factor for improving care delivery. We demonstrated that network analysis can be used to find higher order features associated with health outcomes in addition to patient-level features. (©2022 AMIA - All rights reserved.)
Databáze:	MEDLINE
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