The Contribution of Cancer Incidence, Stage at Diagnosis and Survival to Racial Differences in Years of Life Expectancy

African Americans have higher cancer mortality rates than whites. Understanding the relative contribution of cancer incidence, stage at diagnosis and survival after diagnosis to the racial gap in life expectancy has important implications for directing future health disparity interventions toward cancer prevention, screening and treatment. We estimated the degree to which higher cancer mortality among African Americans is due to higher incidence rates, later stage at diagnosis or worse survival after diagnosis. Stochastic model of cancer incidence and survival after diagnosis. Surveillance and Epidemiology End Result cancer registry and National Health Interview Survey data. Life expectancy if African Americans had the same cancer incidence, stage and survival after diagnosis as white adults. African-American men and women live 1.47 and 0.91 fewer years, respectively, than whites as the result of all cancers combined. Among men, racial differences in cancer incidence, stage at diagnosis and survival after diagnosis account for 1.12 (95% CI: 0.52 to 1.36), 0.17 (95% CI: −0.03 to 0.33) and 0.21 (95% CI: 0.05 to 0.34) years of the racial gap in life expectancy, respectively. Among women, incidence, stage and survival after diagnosis account for 0.41 (95% CI: −0.29 to 0.60), 0.26 (95% CI: −0.06 to 0.40) and 0.31 (95% CI: 0.05 to 0.40) years, respectively. Differences in stage had a smaller impact on the life expectancy gap compared with the impact of incidence. Differences in cancer survival after diagnosis had a significant impact for only two cancers—breast (0.14 years; 95% CI: 0.05 to 0.16) and prostate (0.05 years; 95% CI 0.01 to 0.09). In addition to breast and colorectal cancer screening, national efforts to reduce disparities in life expectancy should also target cancer prevention, perhaps through smoking cessation, and differences in survival after diagnosis among persons with breast and prostate cancer

A simulation model approach to analysis of the business case for eliminating health care disparities

<p>Abstract</p> <p>Background</p> <p>Purchasers can play an important role in eliminating racial and ethnic disparities in health care. A need exists to develop a compelling "business case" from the employer perspective to put, and keep, the issue of racial/ethnic disparities in health care on the quality improvement agenda for health plans and providers.</p> <p>Methods</p> <p>To illustrate a method for calculating an employer business case for disparity reduction and to compare the business case in two clinical areas, we conducted analyses of the direct (medical care costs paid by employers) and indirect (absenteeism, productivity) effects of eliminating known racial/ethnic disparities in mammography screening and appropriate medication use for patients with asthma. We used Markov simulation models to estimate the consequences, for defined populations of African-American employees or health plan members, of a 10% increase in HEDIS mammography rates or a 10% increase in appropriate medication use among either adults or children/adolescents with asthma.</p> <p>Results</p> <p>The savings per employed African-American woman aged 50-65 associated with a 10% increase in HEDIS mammography rate, from direct medical expenses and indirect costs (absenteeism, productivity) combined, was $50. The findings for asthma were more favorable from an employer point of view at approximately$1,660 per person if raising medication adherence rates in African-American employees or dependents by 10%.</p> <p>Conclusions</p> <p>For the employer business case, both clinical scenarios modeled showed positive results. There is a greater potential financial gain related to eliminating a disparity in asthma medications than there is for eliminating a disparity in mammography rates.</p

Inequalities in breast cancer stage at diagnosis in the Trent region, and implications for the NHS Breast Screening Programme

Background This study investigates risk factors for diagnosis with late-stage breast cancer in order to identify inequalities and inform the understanding of barriers affecting access to mammography screening. Methods Data from the Trent Cancer Registry were used to identify all women with invasive breast cancer, diagnosed in 1998–2006. Risk of diagnosis with late-stage breast cancer was calculated to quantify strength of association between exposure and outcome. Results Women outside the age group for routine screening were approximately 30% [,50 years, relative risk (RR) ¼ 1.34 (95% confidence interval, CI: 1.26–1.43) and .70 years, RR ¼ 1.27 (95% CI: 1.19–1.36)] more likely to be diagnosed with late-stage breast cancer; the most deprived women were 37% [RR ¼ 1.37 (95% CI: 1.01–2.56)] more likely to be diagnosed with Stage IV breast cancer; ethnic minority women were 15% [RR ¼ 1.15 (95% CI: 1.09–1.22)] more likely to be diagnosed with late-stage breast cancer and women resident in 5 of 11 Trent Primary Care Trusts (PCT) had a greater than 30% increased risk of diagnosis with late-stage breast cancer than those in Nottingham City PCT. Conclusion These findings highlight the need for appropriate targeted interventions to address compositional and contextual inequalities that are evident in breast cancer stage at diagnosis