Comparing the spatial attractiveness of hospitals using zero-inflated spatial models

Policy makers increasingly rely on hospital competition to incentivize patients to choose high-value care. Amongst all possible drivers, the travel distance without any doubt is one of the most important. In this paper we propose the use of a spatial Bayesian hierarchical model to assess the impact of distance on the number of patient admissions in hospitals, and thereby, compare hospital attractiveness. To this aim a MCMC sampler has been designed. We apply our methodology to patient admissions for asthma in four hospitals located in the Hérault department of France. Results indicate that the most attractive hospital is the CHU Montpellier.