Literature DB >> 12807953

Chapter 15: Public health policy and cost-effectiveness analysis.

Sue J Goldie1.   

Abstract

Recent scientific advances are providing an opportunity to revisit strategies for cervical cancer prevention. How to invest health resources wisely, such that public health benefits are maximized-and opportunity costs are minimized-is a critical question in the setting of enhanced cytologic screening methods, human papillomavirus DNA testing, and vaccine development. Developing sound clinical guidelines and public health policy will require careful consideration of the incremental benefits, harms, and costs associated with new interventions compared with existing interventions, at both an individual and a population level. In addition to an intervention's effectiveness, public health decision making requires the consideration of its feasibility, sustainability, and affordability. No clinical trial or single cohort study will be able to simultaneously consider all of these components. Cost-effectiveness analysis and disease-simulation modeling, capitalizing on data from multiple sources, can serve as a valuable tool to extend the time horizon of clinical trials, to evaluate more strategies than possible in a single clinical trial, and to assess the relative costs and benefits of alternative policies to reduce mortality from cervical cancer.

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Year:  2003        PMID: 12807953     DOI: 10.1093/oxfordjournals.jncimonographs.a003471

Source DB:  PubMed          Journal:  J Natl Cancer Inst Monogr        ISSN: 1052-6773


  13 in total

Review 1.  Calibration methods used in cancer simulation models and suggested reporting guidelines.

Authors:  Natasha K Stout; Amy B Knudsen; Chung Yin Kong; Pamela M McMahon; G Scott Gazelle
Journal:  Pharmacoeconomics       Date:  2009       Impact factor: 4.981

2.  Progression from beryllium exposure to chronic beryllium disease: an analytic model.

Authors:  Philip Harber; Siddharth Bansal; John Balmes
Journal:  Environ Health Perspect       Date:  2009-02-27       Impact factor: 9.031

3.  Building better models: if we build them, will policy makers use them? Toward integrating modeling into health care decisions.

Authors:  Jeanne Mandelblatt; Clyde Schechter; David Levy; Ann Zauber; Yaojen Chang; Ruth Etzioni
Journal:  Med Decis Making       Date:  2012 Sep-Oct       Impact factor: 2.583

4.  Identification of human papillomavirus type 16 L1 surface loops required for neutralization by human sera.

Authors:  Joseph J Carter; Greg C Wipf; Margaret M Madeleine; Stephen M Schwartz; Laura A Koutsky; Denise A Galloway
Journal:  J Virol       Date:  2006-05       Impact factor: 5.103

5.  Cost-effectiveness of colorectal cancer screening - an overview.

Authors:  Iris Lansdorp-Vogelaar; Amy B Knudsen; Hermann Brenner
Journal:  Best Pract Res Clin Gastroenterol       Date:  2010-08       Impact factor: 3.043

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

Review 8.  Cervical cancer screening.

Authors:  Dorothy J Wiley; Bradley J Monk; Emmanuel Masongsong; Kristina Morgan
Journal:  Curr Oncol Rep       Date:  2004-11       Impact factor: 5.075

Review 9.  Helicobacter pylori associated gastric intestinal metaplasia: Treatment and surveillance.

Authors:  Kevin Sze-Hang Liu; Irene Oi-Ling Wong; Wai K Leung
Journal:  World J Gastroenterol       Date:  2016-01-21       Impact factor: 5.742

10.  Individualizing colonoscopy screening by sex and race.

Authors:  Iris Lansdorp-Vogelaar; Marjolein van Ballegooijen; Ann G Zauber; Rob Boer; Janneke Wilschut; Sidney J Winawer; J Dik F Habbema
Journal:  Gastrointest Endosc       Date:  2009-05-24       Impact factor: 9.427

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