Chapter 18: Public health policy for cervical cancer prevention: the role of decision science, economic evaluation, and mathematical modeling.
Several factors are changing the landscape of cervical cancer control, including a better understanding of the natural history of human papillomavirus (HPV), reliable assays for detecting high-risk HPV infections, and a soon to be available HPV-16/18 vaccine. There are important differences in the relevant policy questions for different settings. By synthesizing and integrating the best available data, the use of modeling in a decision analytic framework can identify those factors most likely to influence outcomes, can guide the design of future clinical studies and operational research, can provide insight into the cost-effectiveness of different strategies, and can assist in early decision-making when considered with criteria such as equity, public preferences, and political and cultural constraints.
Goldie
Sue J
SJ
Department of Health Policy and Management, Harvard School of Public Health, 718 Huntington Avenue, Boston, MA 02115, USA. sue_goldie@harvard.edu
Goldhaber-Fiebert
Jeremy D
JD
Garnett
Geoffrey P
GP
D003659:Decision Making, Organizational; D005260:Female; D006291:Health Policy; D006298:Health Services Administration; D006801:Humans; D008962:Models, Theoretical; D030361:Papillomavirus Infections / Q000175:diagnosis / Q000191:economics / Q000517:prevention & control*; D002583:Uterine Cervical Neoplasms / Q000175:diagnosis / Q000191:economics / Q000517:prevention & control*