A Simulation Model of Breast Cancer Incidence, Progression, Diagnosis and Survival in India (original) (raw)
2021, SSRN Electronic Journal
For resource-constrained health systems, it becomes important to evaluate the cost-effectiveness of a breast cancer (BC) screening program prior to its real-world implementation. In this paper, we provide an overview of a new simulation model of BC incidence, progression, and diagnosis developed to maximize the cost-effectiveness of a BC screening program. We describe the development of the modules for BC incidence, tumor growth and diagnosis, and survival estimation of diagnosed patients. Incidence of BC is based on published risk factors and publicly available national cancer registry reports. Survival curves for diagnosed patients based on specific characteristics such as age group and stage of diagnosis are generated using a single published survival curve for the entire population and hazard ratios for each characteristic. Our simulation development approach can provide a model development template for researchers working to develop BC simulation models in other settings with data availability similar to our case.
Loading Preview
Sorry, preview is currently unavailable. You can download the paper by clicking the button above.