An Equilibrium Model of Diagnostic Information Transmission Network

Diabetes is one of the most typical chronic. There are more undiagnosed diabetics and pre-diabetics (UD & PD) than diagnosed diabetes. In this study, we applied a three-tier diagnostic information transmission network equilibrium model to support UD & PD in making an informed choice that is in line with their personal values. Considering the characteristics of diabetes diagnosis information, this paper designed the network as follows: first tier, health professionals; second tier, diabetes educators; third tier, UD & PD. An equilibrium model is established up on the network which is sufficiently general to handle the medical decision-makers. Such a model is sufficiently general to handle many medical decision-makers and their independent behaviors. The structure of the diagnosis information transmission network is identified and equilibrium conditions are derived. A finite-dimensional variational inequality formulation is established. Qualitative properties of the equilibrium model and numerical examples are given.