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This repo contains the code for the project: Geographic disparities in CA-SSTIs observed in EHR data are likely due to determinants beyond healthcare-seeking behaviours, such as SES and environmental factors.

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This repository contains the code used for the project: Evaluating selection bias in electronic health record data: using agent-based models to examine whether geographic disparities in community-acquired Methicillin-resistant Staphylococcus aureus are due to healthcare-seeking behaviors

Objective

This study aimed to explore how healthcare seeking behaviors may generate small-area health inequalities observed in EHR data by modeling an individual’s social and geospatial context. The study's research question is: How might an individual's economic status and geographic location affect healthcare-seeking behaviors and, in turn, geographic disparities in CA-MRSA infections presenting in emergency departments?

Methods

We developed an agent-based model (ABM) to simulate the dynamics of healthcare-seeking behaviour for community- acquired Methicillin-resistant Staphylococcus aureus infections among residents in a Northwest subregion of California. The simulation assumed no true difference in infection prevalence across the study area. We modeled the process of choosing whether to seek treatment for an infection and, if so, whether to visit a primary care physician or the emergency department (ED) to see if geographic differences in prevalence would emerge from the ABM when considering only ED data. We compared the spatial patterns of infection prevalence in the ED identified from the ABM to empirical data.

Repository structure

This repository is structured as follows:

  • The directory code/ contains all the scripts used to process the data, develop the model and analyze the results:
  • The directory data/ contains all the data used for the model

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This repo contains the code for the project: Geographic disparities in CA-SSTIs observed in EHR data are likely due to determinants beyond healthcare-seeking behaviours, such as SES and environmental factors.

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