Cost effective community based dementia screening: a markov model simulation.

Area of Science:

• Gerontology
• Public Health
• Health Economics

Background:

• The global dementia epidemic necessitates cost-effective healthcare strategies.
• Rising healthcare expenditures highlight the need for economic assessments of dementia interventions.
• Community-based dementia screening programs require evaluation for their financial impact.

Purpose of the Study:

• To assess the economic benefits of community-based dementia screening.
• To quantify the potential cost reductions in dementia care through early detection.
• To model the long-term financial implications of dementia screening programs.

Main Methods:

• Markov model simulations were employed to analyze costs over a 10-year period.
• Data from a one-year community-based dementia screening program informed the model.
• Simulations tracked patient costs based on clinical transitions from pre-dementia stages.

Main Results:

• 93 individuals were screened; 12 met criteria for mild cognitive impairment (7) or dementia (5).
• Early therapeutic intervention post-detection led to a simulated 9.8% reduction in dementia care costs over 10 years.
• Cost savings were primarily achieved by prolonging mild stages and reducing time in severe, costly stages.

Conclusions:

• Community-based dementia screening is a viable strategy for reducing healthcare costs.
• Early diagnosis and treatment enable more efficient management of dementia care.
• Interventions targeting earlier disease stages can significantly lower the economic burden of dementia.