Evaluating 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 differential health care–seeking behaviors - Takeaways - MDSpire

Evaluating 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 differential health care–seeking behaviors

  • By

  • Brittany L Morgan Bustamante

  • Jose Pablo Gomez-Vazquez

  • Carlos Gonzalez Crespo

  • Larissa May

  • Laura Fejerman

  • Beatriz Martínez-López

  • January 6, 2025

  • 0 min

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  • 1

    Electronic health records (EHRs) may introduce biases in public health research due to incomplete data on health care-seeking behaviors.

  • 2

    An agent-based model (ABM) was developed to simulate health care-seeking behavior for community-acquired methicillin-resistant Staphylococcus aureus in California.

  • 3

    The ABM successfully reproduced prevalence data for 9 out of 21 geographic areas, indicating some alignment with empirical observations.

  • 4

    Geographic disparities in methicillin-resistant Staphylococcus aureus prevalence may stem from factors beyond bias and health care-seeking behaviors.

  • 5

    Future studies could adapt the ABM for other health outcomes by modifying health care-seeking parameters and disease progression processes.

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