This tool enables users to compare the cost-effectiveness of various population-based screening strategies for celiac disease. The screening strategies can be varied by screening age, frequency, and the inclusion of HLA genotyping to target the at-risk population. Additionally, the tool can be used for assessing the cost-effectiveness of hypothetical preventative measures that lower the incidence of celiac disease. This empowers decision-makers to make informed choices about the allocation of healthcare resources by identifying strategies that provide the greatest health benefits for the lowest cost. By simulating different scenarios and adjusting key parameters, users can also tailor analyses to specific populations or healthcare settings, supporting evidence-based policy development and implementation.
The open-source nature of the tool allows for full transparency, reproducibility, and community-driven development. Researchers and policymakers can inspect the underlying assumptions, adapt the model to local data, and contribute improvements or extensions.
Instructions
The model will be open-sourced on GitHub once the research article based on the model is released. The GitHub page will include usage instructions, and a link will be provided later.