Literature DB >> 33073838

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

Lia C Scott, Shelton Bartley, Nicole F Dowling, Lisa C Richardson.   

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. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2020. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Entities:  

Keywords:  cancer; health disparities; health inequities; medical geography; mortality; population-based studies

Mesh:

Year:  2021        PMID: 33073838      PMCID: PMC8026676          DOI: 10.1093/aje/kwaa228

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  19 in total

1.  Measuring social inequalities in health--politics or science?

Authors:  Gunnel Boström; Måns Rosén
Journal:  Scand J Public Health       Date:  2003       Impact factor: 3.021

2.  Paths to success: optimal and equitable health outcomes for all.

Authors:  George Rust; Robert S Levine; Yvonne Fry-Johnson; Peter Baltrus; Jiali Ye; Dominic Mack
Journal:  J Health Care Poor Underserved       Date:  2012-05

3.  Estimating average annual percent change for disease rates without assuming constant change.

Authors:  Michael P Fay; Ram C Tiwari; Eric J Feuer; Zhaohui Zou
Journal:  Biometrics       Date:  2006-09       Impact factor: 2.571

4.  Paths to health equity: Local area variation in progress toward eliminating breast cancer mortality disparities, 1990-2009.

Authors:  George Rust; Shun Zhang; Khusdeep Malhotra; Leroy Reese; Luceta McRoy; Peter Baltrus; Lee Caplan; Robert S Levine
Journal:  Cancer       Date:  2015-04-23       Impact factor: 6.860

Review 5.  Measuring the magnitude of socio-economic inequalities in health: an overview of available measures illustrated with two examples from Europe.

Authors:  J P Mackenbach; A E Kunst
Journal:  Soc Sci Med       Date:  1997-03       Impact factor: 4.634

6.  Overlapping confidence intervals or standard error intervals: what do they mean in terms of statistical significance?

Authors:  Mark E Payton; Matthew H Greenstone; Nathaniel Schenker
Journal:  J Insect Sci       Date:  2003-10-30       Impact factor: 1.857

7.  Measuring health disparities: a comparison of absolute and relative disparities.

Authors:  Ramal Moonesinghe; Gloria L A Beckles
Journal:  PeerJ       Date:  2015-11-24       Impact factor: 2.984

8.  Annual Report to the Nation on the Status of Cancer, Featuring Cancer in Men and Women Age 20-49 Years.

Authors:  Elizabeth M Ward; Recinda L Sherman; S Jane Henley; Ahmedin Jemal; David A Siegel; Eric J Feuer; Albert U Firth; Betsy A Kohler; Susan Scott; Jiemin Ma; Robert N Anderson; Vicki Benard; Kathleen A Cronin
Journal:  J Natl Cancer Inst       Date:  2019-12-01       Impact factor: 13.506

9.  What to use to express the variability of data: Standard deviation or standard error of mean?

Authors:  Mohini P Barde; Prajakt J Barde
Journal:  Perspect Clin Res       Date:  2012-07

10.  Using relative and absolute measures for monitoring health inequalities: experiences from cross-national analyses on maternal and child health.

Authors:  Tanja Aj Houweling; Anton E Kunst; Martijn Huisman; Johan P Mackenbach
Journal:  Int J Equity Health       Date:  2007-10-29
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