Quantification of the resilience of primary care networks by stress testing the health care system.

ABSTRACT: There are practically no quantitative tools for understanding how much stress a health care system can absorb before it loses its ability to provide care. We propose to measure the resilience of health care systems with respect to changes in the density of primary care providers. We develop a computational model on a 1-to-1 scale for a countrywide primary care sector based on patient-sharing networks. Nodes represent all primary care providers in a country; links indicate patient flows between them. The removal of providers could cause a cascade of patient displacements, as patients have to find alternative providers. The model is calibrated with nationwide data from Austria that includes almost all primary care contacts over 2 y. We assign 2 properties to every provider: the "CareRank" me

SUBMITTER: Lo Sardo DR 

PROVIDER: S-EPMC6883827 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature