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. 2023 Nov 8;2023(62):159-166.
doi: 10.1093/jncimonographs/lgad033.

Using simulation modeling to guide policy to reduce disparities and achieve equity in cancer outcomes: state of the science and a road map for the future

Jeanne Mandelblatt  1   2   3 , Rafael Meza  4 , Amy Trentham-Dietz  5   6 , Brandy Heckman-Stoddard  7 , Eric Feuer  8
Affiliations

Using simulation modeling to guide policy to reduce disparities and achieve equity in cancer outcomes: state of the science and a road map for the future

Jeanne Mandelblatt et al. J Natl Cancer Inst Monogr. .
No abstract available

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Conflict of interest statement

The authors declared no potential conflicts of interest.

Figures

Figure 1.
Figure 1.
Cancer Intervention and Surveillance Modeling Network model components
Figure 2.
Figure 2.
Percentage of modeled mortality disparities in 2019 between the Black population and the overall population explained by model components, by cancer and gender
Figure 3.
Figure 3.
Modeled cancer mortality rates in 2019 among the overall and Black populations and the mortality disparity in the Black population
Figure 4.
Figure 4.
Conceptual depiction of potential effects of systemic racism on Cancer Intervention and Surveillance Modeling Network model components that could be used in future analyses of strategies to improve cancer equity
See this image and copyright information in PMC

References

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    1. Kim JJ, Burger EA, Regan C, Sy S. Screening for cervical cancer in primary care: a decision analysis for the US Preventive Services Task Force. JAMA. 2018;320(7):706-714. doi:10.1001/jama.2017.19872. - DOI - PMC - PubMed

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