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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

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Spatial effects in hospital expenditures: A district level analysis.

Matteo Lippi Bruni¹, Irene Mammi¹

¹Department of Economics, University of Bologna, Bologna, Italy.

Health Economics

|September 24, 2017

Summary

Spatial analysis reveals that potentially inappropriate hospitalizations spread between health districts, unlike complex procedures. This highlights the need for targeted public health planning to manage expenditure spillovers.

Keywords:

health districts hospital expenditures spatial panel data models

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Area of Science:

Health Economics
Spatial Econometrics
Public Health Policy

Background:

Understanding healthcare expenditure spillovers is crucial for efficient resource allocation.
Spatial dependencies in hospital spending can arise from various factors, including patient flows and information sharing.
Previous research has not fully distinguished spillovers based on the nature of hospitalizations.

Purpose of the Study:

To analyze spatial spillovers in hospital expenditures across Italian Health Districts.
To differentiate spillover effects for potentially inappropriate hospitalizations versus complex medical procedures.
To assess the roles of geographical and institutional proximity in explaining spatial dependence.

Main Methods:

Application of spatial econometric models to analyze hospital expenditure data.
Estimation of models accounting for global spillovers and distinct expenditure types.
Development of alternative spatial weight matrices to model different connectivity structures (geographical vs. institutional).

Main Results:

Significant positive spatial spillovers were found for potentially inappropriate hospital admissions.
Spatial spillover effects were generally not significant for expenditures on high-complexity medical procedures.
Geographical and institutional proximity contribute differently to spatial dependence, varying by expenditure type.

Conclusions:

Healthcare expenditure spillovers are heterogeneous, primarily driven by potentially inappropriate admissions.
Public health planners should consider spatial interactions when designing interventions and allocating resources.
Targeted strategies are needed to mitigate negative spillovers from specific types of hospitalizations.