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Discrete Event Simulation-Based Resource Modelling in Health Technology Assessment.

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Area of Science:

  • Health Technology Assessment (HTA)
  • Simulation Modeling
  • Health Economics

Background:

  • Resource modeling (RM) in HTA involves incorporating physical constraints like beds and staff.
  • Discrete event simulation (DES) is a technique for modeling these resource constraints.
  • Understanding the impact of resource constraints is crucial for accurate HTA.

Purpose of the Study:

  • To systematically review published research on using DES for RM in HTA.
  • To identify applications, constraint characteristics, and impacts of RM in HTA.

Main Methods:

  • Conducted systematic literature searches across multiple academic and grey literature databases.
  • Employed manual search techniques including reference list checking and citation searching.
  • Screened and selected relevant articles for review.

Main Results:

  • Identified ten articles meeting inclusion criteria from over 4000 initial citations.
  • Found variations in economic analyses, model settings, and cost-effectiveness analysis (CEA) outcomes.
  • Observed that modeling resource constraints significantly altered CEA results.

Conclusions:

  • DES is an effective technique for RM in HTA.
  • Few studies have applied DES for RM in HTA, despite its demonstrated importance.
  • There is a need for a framework to guide the application of DES for RM in HTA.