Decision science and cervical cancer.

摘要: Mathematical modeling is an effective tool for guiding cervical cancer screening, diagnosis, and treatment decisions patients policymakers. This article describes the use of mathematical as outlined in five presentations from Decision Science Cervical Cancer session Second International Conference on held at The University Texas M. D. Anderson Center, April 11-14, 2002. authors provide overview modeling, especially decision analysis cost-effectiveness analysis, examples how it can be used clinical making regarding prevention, cancer. Included are applications well theory science answer such questions optimal frequency age to stop way diagnose Results one model demonstrated that a vaccine against high-risk strains human papillomavirus was cost-effective resources, discussion another importance collecting direct non-health care costs time analysis. Research presented indicated must taken when applying results population-wide, analyses reduce health disparities. encompass variety theoretical applied issues ultimate objective using decision-analytic models identify ways improve women's economically reasonable cost.