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Comparing the Influence of Heterogeneity on Model Outcomes in Individual-Level and Cohort Simulations: An Exploratory

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Patient heterogeneity impacts health economic model outcomes differently between individual-level and cohort simulations. Age-dependent mortality, specifically, altered results, highlighting caution needed for cohort models with heterogeneous age data.

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Area of Science:

  • Health economics
  • Biostatistics
  • Computational modeling

Background:

  • Individual-level and cohort state-transition models are common in health economic simulations.
  • Heterogeneity's impact on simulation outcomes can differ between these model types, even with identical structures.

Purpose of the Study:

  • To investigate conditions where different health economic model types yield divergent outcomes.
  • To assess the potential impact on policy decisions due to these outcome differences.

Main Methods:

  • A microsimulation model simulated both individual-level and cohort scenarios with identical structures.
  • Analyzed four scenarios: heterogeneity in age, sex, combined age/sex, and age with mortality.
  • Compared health state occupancy, costs, effects, and net monetary benefit between model types.

Main Results:

  • All scenarios with heterogeneity in age, sex, or both showed outcome differences between individual-level and cohort simulations.
  • These differences did not alter cost-effectiveness conclusions.
  • Age-dependent mortality introduced distinct outcome variations between the simulation types.

Conclusions:

  • Patient heterogeneity affects individual and cohort simulation outcomes uniquely.
  • Increased heterogeneity does not invariably amplify simulation outcome differences.
  • Age-dependent mortality necessitates careful consideration in cohort model development for heterogeneous populations.