Work

The dynamic interdependence in the demand of primary and emergency secondary care: A hidden Markov approach

Year: 2022

Type: article

Abstract: This paper develops an extension of the class of finite mixture models for longitudinal count data to the bivariate case by using a hidden Markov chain approach. The model allows for disentangling unobservable time-varying heterogeneity from the dynamic effect of utilisation of primary and secondary care and measuring their potential substitution effect. Three points of supports adequately describe the distribution of the latent states suggesting the existence of three profiles of low, medium and high users who shows persistency in their behaviour, but not permanence as some switch to their neighbour's profile.

Source: Nova Science Publishers (Nova Science Publishers, Inc.)

Authors: Laudicella M, Li Donni P

Institutions: University of Southern Denmark, University of Palermo

Language: English

Topic: Bayesian Methods and Mixture Models

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W3199034572

FWCI: 0.162

Cites: 37

Cited by: 4

Related to: 10