Considerations in developing model-based economic evaluations of glaucoma treatment

Area of Science:

• Ophthalmology
• Health Economics
• Computational Modeling

Background:

• Glaucoma management requires complex decision-making regarding treatment strategies.
• Existing models may not fully capture patient variability and treatment dynamics.

Purpose of the Study:

• To present an innovative glaucoma simulation model for evaluating treatment strategies.
• To guide decision-makers in assessing the economic value of glaucoma interventions.
• To facilitate future glaucoma model development.

Main Methods:

• Developed a state-transition, Monte Carlo simulation model for glaucoma and ocular hypertension.
• Simulated sequential pharmacologic interventions and therapy discontinuation.
• Incorporated patient-specific factors like compliance, persistence, and adverse events.

Main Results:

• Model outputs include treatment duration, therapy switches, intraocular pressure control, and costs.
• Allows customization of country-specific treatment strategies and practice patterns.
• Accommodates patient and clinician variability using persistence distributions.

Conclusions:

• The model addresses crucial considerations: clinically relevant outcomes, diverse treatments, therapy discontinuation, and patient response variability.
• Provides insights for evaluating the economic value of glaucoma interventions.
• Facilitates the development of more robust glaucoma models.