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Agent Based Modelling for Simulating the Interregional Patient Mobility in Italy.

Fabrizio Pecoraro1, Filippo Accordino1, Federico Cecconi2

  • 1Institute for Research on Population and Social Policies, National Research Council. Rome, Italy.

Studies in Health Technology and Informatics
|May 19, 2023
PubMed
Summary
This summary is machine-generated.

Patient mobility across regions impacts healthcare finances. Agent-Based Modelling simulates patient flow to identify key factors influencing this trend, aiding policymakers in developing containment strategies.

Keywords:
Agent-Based ModellingItalyPatient mobilitySimulation processSpatial accessibility

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Area of Science:

  • Health Services Research
  • Computational Social Science
  • Healthcare Management

Background:

  • Patient mobility, or patients seeking care outside their region, poses significant financial challenges to regional health systems.
  • Understanding the drivers of patient mobility is crucial for effective healthcare policy and resource allocation.
  • Existing models may not fully capture the complex interactions between patient behavior and healthcare systems.

Purpose of the Study:

  • To develop and apply an Agent-Based Model (ABM) to simulate patient flow between healthcare regions.
  • To identify the primary factors influencing patient mobility decisions.
  • To provide actionable insights for policymakers to manage and potentially reduce inter-regional patient movement.

Main Methods:

  • Agent-Based Modelling (ABM) was employed to simulate individual patient choices and interactions within a regional healthcare context.
  • The model was designed to represent patient-system dynamics and decision-making processes.
  • Simulations were conducted to analyze the impact of various factors on patient flow patterns.

Main Results:

  • The study identified key determinants influencing patient mobility, highlighting factors beyond geographical proximity.
  • Simulation results demonstrated the potential impact of specific interventions on patient flow.
  • The ABM approach provided a nuanced understanding of the complex factors driving healthcare seeking behavior across regions.

Conclusions:

  • Agent-Based Modelling offers a valuable framework for understanding and analyzing patient mobility in healthcare systems.
  • Identifying key influencing factors through ABM can inform targeted policy interventions.
  • This approach can assist policymakers in optimizing regional healthcare resource allocation and financial sustainability.