Quantitative Models to Design and Evaluate Risk-Specific Screening Strategies for Cervical Cancer Prevention

Quantitative Models to Design and Evaluate Risk-Specific Screening Strategies for Cervical Cancer Prevention

Bibliographic Details
Main Author: Ley-Chavez, Adriana
Language:English
Published: The Ohio State University / OhioLINK 2012
Subjects:
Industrial Engineering
Operations Research
Public Health
Cervical cancer screening
HPV
Simulation
Cost-effectiveness
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=osu1324545286
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-osu13245452862021-08-03T06:04:18Z Quantitative Models to Design and Evaluate Risk-Specific Screening Strategies for Cervical Cancer Prevention Ley-Chavez, Adriana Industrial Engineering Operations Research Public Health Cervical cancer screening HPV Simulation Cost-effectiveness <p>Cervical cancer is the second leading cause of female cancer mortality worldwide, and it can be prevented effectively with appropriate screening. Infection with an oncogenic strain of the human papillomavirus (HPV) is a necessary cause for cervical cancer and HPV is a very common sexually transmitted infection. Demographic and behavioral risk factors for HPV infection have been identified, but the current screening guidelines for cervical cancer prevention do not make distinctions related to risk factors in their recommendations. Cost-effectiveness analyses have compared the screening strategies approved by current guidelines, but the effect of incorporating each patient's risk for infection into the selection of recommended screening strategies has not been studied.</p><p>We explore the possibility of implementing risk-specific screening strategies and evaluate their cost-effectiveness with respect to the screening strategies currently used. We develop a model of risk that allows us to estimate the probability of oncogenic HPV infection based on a patient's risk characteristics. We use this to implement risk-specific screening strategies in a simulation model of disease progression and screening, which we use to compare our proposed risk-specific strategies to the traditional screening strategies. We evaluate all strategies in terms of total costs and quality-adjusted life years accumulated in the simulated population. We find risk-specific strategies to be more cost-effective and conclude this to be evidence of the potential benefits of risk-specific screening programs for cervical cancer prevention.</p> 2012-01-06 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1324545286 http://rave.ohiolink.edu/etdc/view?acc_num=osu1324545286 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Industrial Engineering
Operations Research
Public Health
Cervical cancer screening
HPV
Simulation
Cost-effectiveness
spellingShingle Industrial Engineering
Operations Research
Public Health
Cervical cancer screening
HPV
Simulation
Cost-effectiveness
Ley-Chavez, Adriana
Quantitative Models to Design and Evaluate Risk-Specific Screening Strategies for Cervical Cancer Prevention
author Ley-Chavez, Adriana
author_facet Ley-Chavez, Adriana
author_sort Ley-Chavez, Adriana
title Quantitative Models to Design and Evaluate Risk-Specific Screening Strategies for Cervical Cancer Prevention
title_short Quantitative Models to Design and Evaluate Risk-Specific Screening Strategies for Cervical Cancer Prevention
title_full Quantitative Models to Design and Evaluate Risk-Specific Screening Strategies for Cervical Cancer Prevention
title_fullStr Quantitative Models to Design and Evaluate Risk-Specific Screening Strategies for Cervical Cancer Prevention
title_full_unstemmed Quantitative Models to Design and Evaluate Risk-Specific Screening Strategies for Cervical Cancer Prevention
title_sort quantitative models to design and evaluate risk-specific screening strategies for cervical cancer prevention
publisher The Ohio State University / OhioLINK
publishDate 2012
url http://rave.ohiolink.edu/etdc/view?acc_num=osu1324545286
work_keys_str_mv AT leychavezadriana quantitativemodelstodesignandevaluateriskspecificscreeningstrategiesforcervicalcancerprevention
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