Literature DB >> 16950004

Chapter 19: Cost-effectiveness of cervical cancer screening.

Sue J Goldie1, Jane J Kim, Evan Myers.   

Abstract

In the last two decades, computer-based models of cervical cancer screening have been used to evaluate the cost-effectiveness of different secondary prevention policies. Analyses in countries with existing screening programs have focused on identifying the optimal screening interval, ages for starting and stopping screening, and consideration of enhancements to conventional cytology, such as human papillomavirus (HPV)-DNA testing as a triage for equivocal results or as a primary screening test for women over the age of 30. Analyses in resource-poor settings with infrequent or no screening have focused on strategies that enhance the linkage between screening and treatment, consider noncytologic alternatives such as HPV-DNA testing, and target women between the ages of 35 and 45 for screening one, two, or three times per lifetime. Despite differences in methods and assumptions, this paper identifies the qualitative themes that are consistent among studies, and highlights important methodological challenges and high-priority areas for further work.

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Year:  2006        PMID: 16950004     DOI: 10.1016/j.vaccine.2006.05.114

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  22 in total

1.  Economic evaluation of policy options for prevention and control of cervical cancer in Thailand.

Authors:  Naiyana Praditsitthikorn; Yot Teerawattananon; Sripen Tantivess; Supon Limwattananon; Arthorn Riewpaiboon; Saibua Chichareon; Nantakan Ieumwananonthachai; Viroj Tangcharoensathien
Journal:  Pharmacoeconomics       Date:  2011-09       Impact factor: 4.981

2.  Suitability of self-collected vaginal samples for cervical cancer screening in periurban villages in Andhra Pradesh, India.

Authors:  A Pavani Sowjanya; Proma Paul; Haripriya Vedantham; Gayatri Ramakrishna; D Vidyadhari; K Vijayaraghavan; Shantha Laksmi; Mrudula Sudula; Brigitte M Ronnett; Manik Das; Keerti V Shah; Patti E Gravitt
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-05       Impact factor: 4.254

Review 3.  Present challenges in cervical cancer prevention: Answers from cost-effectiveness analyses.

Authors:  Mireia Diaz; Silvia de Sanjosé; F Xavier Bosch; Laia Bruni
Journal:  Rep Pract Oncol Radiother       Date:  2018-04-26

4.  Trade-offs in cervical cancer prevention: balancing benefits and risks.

Authors:  Natasha K Stout; Jeremy D Goldhaber-Fiebert; Jesse D Ortendahl; Sue J Goldie
Journal:  Arch Intern Med       Date:  2008-09-22

5.  Public health impact of human papillomavirus vaccination on prevention of cervical cancer in France.

Authors:  Abdelkader El Hasnaoui; Nadia Demarteau; Denis Granados; Baudouin Standaert; Bruno Detournay
Journal:  Int J Public Health       Date:  2011-06-28       Impact factor: 3.380

6.  Model-based analyses to compare health and economic outcomes of cancer control: inclusion of disparities.

Authors:  Sue J Goldie; Norman Daniels
Journal:  J Natl Cancer Inst       Date:  2011-09-06       Impact factor: 13.506

7.  Using simulation-optimization to construct screening strategies for cervical cancer.

Authors:  Laura A McLay; Christodoulos Foufoulides; Jason R W Merrick
Journal:  Health Care Manag Sci       Date:  2010-06-05

8.  A population-based evaluation of a publicly funded, school-based HPV vaccine program in British Columbia, Canada: parental factors associated with HPV vaccine receipt.

Authors:  Gina Ogilvie; Maureen Anderson; Fawziah Marra; Shelly McNeil; Karen Pielak; Meena Dawar; Marilyn McIvor; Thomas Ehlen; Simon Dobson; Deborah Money; David M Patrick; Monika Naus
Journal:  PLoS Med       Date:  2010-05-04       Impact factor: 11.069

Review 9.  Modeling cervical cancer prevention in developed countries.

Authors:  Jane J Kim; Marc Brisson; W John Edmunds; Sue J Goldie
Journal:  Vaccine       Date:  2008-08-19       Impact factor: 3.641

10.  Cost-effectiveness of cervical cancer screening with human papillomavirus DNA testing and HPV-16,18 vaccination.

Authors:  Jeremy D Goldhaber-Fiebert; Natasha K Stout; Joshua A Salomon; Karen M Kuntz; Sue J Goldie
Journal:  J Natl Cancer Inst       Date:  2008-02-26       Impact factor: 13.506

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