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Five-hundred life-saving interventions and their cost-effectiveness
T O Tengs1, M E Adams, J S Pliskin
1Center for Health Policy Research and Education, Duke University, Durham, North Carolina 27708, USA.
Summary
The median cost for life-saving interventions in the U.S. is $42,000 per life-year saved. Medical interventions are more cost-effective than injury reduction or toxin control strategies.
Area of Science:
- Health Economics
- Public Health Policy
- Preventive Medicine
Background:
- Assessing the economic value of health interventions is crucial for resource allocation.
- Previous analyses of life-saving interventions often lack standardized cost-effectiveness metrics.
- A comprehensive understanding of cost-effectiveness across diverse interventions is needed.
Purpose of the Study:
- To systematically evaluate and standardize the cost-effectiveness of life-saving interventions in the United States.
- To provide a comparable metric (cost per life-year saved) for a wide range of health and safety strategies.
- To identify variations in cost-effectiveness across different categories of interventions.
Main Methods:
- Systematic review of publicly available economic analyses of life-saving interventions in the U.S.
- Standardization of cost-effectiveness ratios to a common metric: net resource costs per year of life saved.
- Inclusion of 587 distinct behavioral and technological interventions.
Main Results:
- The median cost-effectiveness ratio for all interventions was $42,000 per life-year saved.
- Median costs varied significantly by category: medical interventions ($19,000/life-year), injury reduction ($48,000/life-year), and toxin control ($2,800,000/life-year).
- Intervention costs ranged from cost-saving to over $10 billion per life-year saved.
Conclusions:
- Significant variation exists in the cost-effectiveness of life-saving interventions, highlighting opportunities for optimizing public health spending.
- Medical interventions generally demonstrate higher cost-effectiveness compared to injury and toxin control measures.
- Standardized cost-effectiveness data can inform policy decisions and improve resource allocation for maximizing population health gains.