scholarly journals The Ethical Imperative of Equity in Oncology: Lessons Learned From 2020 and a Path Forward

Author(s):  
Jonathan M. Marron ◽  
Marjory Charlot ◽  
Jacquelyne Gaddy ◽  
Abby R. Rosenberg

The COVID-19 pandemic and the simultaneous increased focus on structural racism and racial/ethnic disparities across the United States have shed light on glaring inequities in U.S. health care, both in oncology and more generally. In this article, we describe how, through the lens of fundamental ethical principles, an ethical imperative exists for the oncology community to overcome these inequities in cancer care, research, and the oncology workforce. We first explain why this is an ethical imperative, centering the discussion on lessons learned during 2020. We continue by describing ongoing equity-focused efforts by ASCO and other related professional medical organizations. We end with a call to action—all members of the oncology community have an ethical responsibility to take steps to address inequities in their clinical and academic work—and with guidance to practicing oncologists looking to optimize equity in their research and clinical practice.

Author(s):  
Jamie M. Smith ◽  
Olga F. Jarrín ◽  
Haiqun Lin ◽  
Jennifer Tsui ◽  
Tina Dharamdasani ◽  
...  

Racial and ethnic disparities exist in diabetes prevalence, health services utilization, and outcomes including disabling and life-threatening complications among patients with diabetes. Home health care may especially benefit older adults with diabetes through individualized education, advocacy, care coordination, and psychosocial support for patients and their caregivers. The purpose of this study was to examine the association between race/ethnicity and hospital discharge to home health care and subsequent utilization of home health care among a cohort of adults (age 50 and older) who experienced a diabetes-related hospitalization. The study was limited to patients who were continuously enrolled in Medicare for at least 12 months and in the United States. The cohort (n = 786,758) was followed for 14 days after their diabetes-related index hospitalization, using linked Medicare administrative, claims, and assessment data (2014–2016). Multivariate logistic regression models included patient demographics, comorbidities, hospital length of stay, geographic region, neighborhood deprivation, and rural/urban setting. In fully adjusted models, hospital discharge to home health care was significantly less likely among Hispanic (OR 0.8, 95% CI 0.8–0.8) and American Indian (OR 0.8, CI 0.8–0.8) patients compared to White patients. Among those discharged to home health care, all non-white racial/ethnic minority patients were less likely to receive services within 14-days. Future efforts to reduce racial/ethnic disparities in post-acute care outcomes among patients with a diabetes-related hospitalization should include policies and practice guidelines that address structural racism and systemic barriers to accessing home health care services.


Author(s):  
David Callaway ◽  
Jeff Runge ◽  
Lucia Mullen ◽  
Lisa Rentz ◽  
Kevin Staley ◽  
...  

Abstract The United States Centers for Disease Control and Prevention and the World Health Organization broadly categorize mass gathering events as high risk for amplification of coronavirus disease 2019 (COVID-19) spread in a community due to the nature of respiratory diseases and the transmission dynamics. However, various measures and modifications can be put in place to limit or reduce the risk of further spread of COVID-19 for the mass gathering. During this pandemic, the Johns Hopkins University Center for Health Security produced a risk assessment and mitigation tool for decision-makers to assess SARS-CoV-2 transmission risks that may arise as organizations and businesses hold mass gatherings or increase business operations: The JHU Operational Toolkit for Businesses Considering Reopening or Expanding Operations in COVID-19 (Toolkit). This article describes the deployment of a data-informed, risk-reduction strategy that protects local communities, preserves local health-care capacity, and supports democratic processes through the safe execution of the Republican National Convention in Charlotte, North Carolina. The successful use of the Toolkit and the lessons learned from this experience are applicable in a wide range of public health settings, including school reopening, expansion of public services, and even resumption of health-care delivery.


Author(s):  
Jay J. Xu ◽  
Jarvis T. Chen ◽  
Thomas R. Belin ◽  
Ronald S. Brookmeyer ◽  
Marc A. Suchard ◽  
...  

The coronavirus disease 2019 (COVID-19) epidemic in the United States has disproportionately impacted communities of color across the country. Focusing on COVID-19-attributable mortality, we expand upon a national comparative analysis of years of potential life lost (YPLL) attributable to COVID-19 by race/ethnicity (Bassett et al., 2020), estimating percentages of total YPLL for non-Hispanic Whites, non-Hispanic Blacks, Hispanics, non-Hispanic Asians, and non-Hispanic American Indian or Alaska Natives, contrasting them with their respective percent population shares, as well as age-adjusted YPLL rate ratios—anchoring comparisons to non-Hispanic Whites—in each of 45 states and the District of Columbia using data from the National Center for Health Statistics as of 30 December 2020. Using a novel Monte Carlo simulation procedure to perform estimation, our results reveal substantial racial/ethnic disparities in COVID-19-attributable YPLL across states, with a prevailing pattern of non-Hispanic Blacks and Hispanics experiencing disproportionately high and non-Hispanic Whites experiencing disproportionately low COVID-19-attributable YPLL. Furthermore, estimated disparities are generally more pronounced when measuring mortality in terms of YPLL compared to death counts, reflecting the greater intensity of the disparities at younger ages. We also find substantial state-to-state variability in the magnitudes of the estimated racial/ethnic disparities, suggesting that they are driven in large part by social determinants of health whose degree of association with race/ethnicity varies by state.


Author(s):  
Lauren C Zalla ◽  
Chantel L Martin ◽  
Jessie K Edwards ◽  
Danielle R Gartner ◽  
Grace A Noppert

Abstract Coronavirus disease 2019 (COVID-19) is disproportionately burdening racial and ethnic minority groups in the US. Higher risks of infection and mortality among racialized minorities are a consequence of structural racism, reflected in specific policies that date back centuries and persist today. Yet, our surveillance activities do not reflect what we know about how racism structures risk. When measuring racial and ethnic disparities in deaths due to COVID-19, the CDC statistically accounts for the geographic distribution of deaths throughout the US to reflect the fact that deaths are concentrated in areas with different racial and ethnic distributions than that of the larger US. In this commentary, we argue that such an approach misses an important driver of disparities in COVID-19 mortality, namely the historical forces that determine where individuals live, work, and play, and consequently determine their risk of dying from COVID-19. We explain why controlling for geography downplays the disproportionate burden of COVID-19 on racialized minority groups in the US. Finally, we offer recommendations for the analysis of surveillance data to estimate racial disparities, including shifting from distribution-based to risk-based measures, to help inform a more effective and equitable public health response to the pandemic.


2013 ◽  
Vol 49 (1) ◽  
pp. 206-229 ◽  
Author(s):  
Benjamin Lê Cook ◽  
Samuel H. Zuvekas ◽  
Nicholas Carson ◽  
Geoffrey Ferris Wayne ◽  
Andrew Vesper ◽  
...  

2021 ◽  
Vol 10 (6) ◽  
pp. 206
Author(s):  
Christopher D’Amato ◽  
Bryan Holmes ◽  
Ben Feldmeyer

Economic threat arguments within the broader racial/ethnic threat theory suggest that economic competition between minorities and Whites encourages the majority group to apply formal social controls on minorities to maintain their advantaged positions. Prior sentencing research has given limited attention to economic threat and has only done so using cross-sectional measures, which does not capture changing economic circumstances (a key element of racial/ethnic threat). The goal of this study is to provide a test of economic threat—and racial/ethnic threat more broadly—utilizing time variant measures. To achieve this goal, we use case-level data from the Minnesota Sentencing Guidelines Commission (N = 122,666) and county-level data from the United States Census Bureau. Multilevel regression models reveal partial but limited support for economic threat. Specifically, counties with a growing portion of minorities living above the poverty line between 2000 and 2010 had larger minority disadvantages (in comparison to Whites) at incarceration. However, economic threat measures do not significantly contextualize minority–White sentence length differences, while the broader racial/ethnic threat measures do not significantly influence minority–White outcomes at the incarceration or sentencing length decision. The results suggest that economic threat may explain a small but limited portion of the racial disparities identified.


2012 ◽  
Vol 60 (5) ◽  
pp. 466-472 ◽  
Author(s):  
Jane M. Simoni ◽  
David Huh ◽  
Ira B. Wilson ◽  
Jie Shen ◽  
Kathy Goggin ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document