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Personalized mammography screening and screening adherence-A simulation and economic evaluation.

Value Health 21, 799-808 (2018)
Publ. Version/Full Text Postprint Research data DOI PMC
Open Access Green
Objective: Personalized breast cancer screening has so far been economically evaluated under the assumption of full screening adherence. This is the first study to evaluate the effects of nonadherence on the evaluation and selection of personalized screening strategies. Methods: Different adherence scenarios were established on the basis of findings from the literature. A Markov microsimulation model was adapted to evaluate the effects of these adherence scenarios on three different personalized strategies. Results: First, three adherence scenarios describing the relationship between risk and adherence were identified: 1) a positive association between risk and screening adherence, 2) a negative association, or 3) a curvilinear relationship. Second, these three adherence scenarios were evaluated in three personalized strategies. Our results show that it is more the absolute adherence rate than the nature of the risk-adherence relationship that is important to determine which strategy is the most cost-effective. Furthermore, probabilistic sensitivity analyses showed that there are risk-stratified screening strategies that are more cost-effective than routine screening if the willingness-to-pay threshold for screening is below US $60,000. Conclusions: Our results show that "nonadherence" affects the relative performance of screening strategies. Thus, it is necessary to include the true adherence level to evaluate personalized screening strategies and to select the best strategy.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Adherence ; Breast Cancer Screening ; Decision Analysis ; Economic Evaluation ; Mammography ; Markov Model ; Personalized Medicine; Breast-cancer Risk; Family-history; Cost-effectiveness; Digital Mammography; Film Mammography; Perceived Risk; United-states; Women; Benefits; Density
Language
Publication Year 2018
HGF-reported in Year 2018
ISSN (print) / ISBN 1098-3015
e-ISSN 1524-4733
Journal Value in Health
Quellenangaben Volume: 21, Issue: 7, Pages: 799-808 Article Number: , Supplement: ,
Publisher Elsevier
Publishing Place New York, NY
Reviewing status Peer reviewed
POF-Topic(s) 30202 - Environmental Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
Research field(s) Genetics and Epidemiology
PSP Element(s) G-505300-001
G-504100-001
Scopus ID 85042214878
PubMed ID 30005752
Erfassungsdatum 2018-06-14