Patterns and determinants of patient sharing in end-of-life health services: Empirical evidence from the Italian National Health Service

End-of-life (EoL) care is critical for cancer patients, who tend to have high service needs that are dispersed across organizations and different levels of care. Although EOL has been widely studied, little is known about the patterns of coordination among EoL health care providers and how they contribute to the care of cancer patients. This study adopts a network perspective to examine the complex patterns of patient sharing among health care providers involved in EoL care, using data on the use of EoL health care services by 266 cancer patients in a large Local Health Authority in Italy. We conducted a social network analysis of the structural properties of the emerging network and used logistic regression-quadratic assignment procedures (LR-QAP) to explore how characteristics of health care providers, their collaborative network, and their distances predict the likelihood of observing patient sharing relationships. Our results show that complementarities in terms of medical specialization and co-location of services positively predict the likelihood of cancer patient sharing. This probability is also positively related to the difference in terms of eigenvector centrality as well as the degree of network transitivity. We discuss the policy implications of our findings.