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Finding "Bright Spots": Using Multiple Measures to Examine Local-Area Racial Equity in Cancer Mortality Outcomes

Overview
Journal Am J Epidemiol
Specialty Public Health
Date 2020 Oct 19
PMID 33073838
Citations 1
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Abstract

In this article, we present a variety of measures that quantify equity in cancer mortality outcomes, demonstrate how the measures perform with various cancer types, and identify counties, or "bright spots," that meet the criteria of those measures. Using county-level age-adjusted mortality rates for 2007-2016 from the National Center for Health Statistics, we identified counties that had both equitable and optimal outcomes for Black and White death rates across 5 types of cancer: cancers of the lung/bronchus, prostate, female breast, colorectum, and liver. The number of counties that met the criteria ranged from 0 to 442, depending on cancer type and measure used. Prostate cancer and male liver cancer consistently had the lowest number of "bright spots," with a maximum of 3 counties meeting the most lenient criteria. This paper presents several ways to examine equity, using rate ratios and standard error measures, in cancer mortality outcomes. It highlights areas with positive progress toward equity and areas with a potential need for equity-focused cancer-control planning. Examining local areas of positive deviance can inform cancer-control programming and planning around health equity.

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References
1.
Ward E, Sherman R, Henley S, Jemal A, Siegel D, Feuer E . Annual Report to the Nation on the Status of Cancer, Featuring Cancer in Men and Women Age 20-49 Years. J Natl Cancer Inst. 2019; 111(12):1279-1297. PMC: 6910179. DOI: 10.1093/jnci/djz106. View

2.
Mackenbach J, Kunst A . Measuring the magnitude of socio-economic inequalities in health: an overview of available measures illustrated with two examples from Europe. Soc Sci Med. 1997; 44(6):757-71. DOI: 10.1016/s0277-9536(96)00073-1. View

3.
Houweling T, Kunst A, Huisman M, Mackenbach J . Using relative and absolute measures for monitoring health inequalities: experiences from cross-national analyses on maternal and child health. Int J Equity Health. 2007; 6:15. PMC: 2173893. DOI: 10.1186/1475-9276-6-15. View

4.
Rust G, Zhang S, Malhotra K, Reese L, McRoy L, Baltrus P . Paths to health equity: Local area variation in progress toward eliminating breast cancer mortality disparities, 1990-2009. Cancer. 2015; 121(16):2765-74. PMC: 4540479. DOI: 10.1002/cncr.29405. View

5.
Payton M, Greenstone M, Schenker N . Overlapping confidence intervals or standard error intervals: what do they mean in terms of statistical significance?. J Insect Sci. 2005; 3:34. PMC: 524673. DOI: 10.1093/jis/3.1.34. View