Related Experiment Videos
Interactive neural-network-assisted screening. An economic assessment
1McDermott, Will, & Emery, Miami, Florida, USA.
Acta Cytologica
|February 28, 1998
Summary
Interactive, neural network-assisted (INNA) screening for cervical cancer is cost-effective, with most analyses showing less than $50,000 per life year saved. This technology helps identify missed abnormalities and potential cancers.
Area of Science:
- Oncology
- Health Economics
- Medical Technology Assessment
Background:
- Cervical cancer screening is crucial for early detection and prevention.
- Traditional screening methods have limitations in sensitivity.
- Interactive, neural network-assisted (INNA) screening offers a potential improvement.
Purpose of the Study:
- To evaluate the economic impact of INNA screening for cervical cancer.
- To integrate clinical effectiveness data of INNA into economic models.
- To assess the cost-effectiveness of this advanced screening technology.
Main Methods:
- Applied INNA screening sensitivity estimates from literature synthesis.
- Utilized the Computer Model for Designing CANcer ConTROL Programs (CANControl) economic model.
- Conducted analysis from a modified payer perspective, including patient costs.
- Modeled a cohort screened triennially from age 20 to 75.
Main Results:
- Cost-effectiveness ratios ranged from $35,000 to $80,000 per life year saved.
- The majority of ratios were below $50,000 per life year saved.
- Results were sensitive to the assumed sensitivity of unassisted manual screening, not treatment costs.
Conclusions:
- INNA rescreening data applied to cost-effectiveness models show favorable results.
- INNA screening is a cost-effective expenditure for identifying cervical abnormalities.
- Supports the use of INNA for improving cervical cancer detection and resource allocation.