Dataset Information

Head and Neck Cancer Survival Disparities by Race and Rural-Urban Context.

ABSTRACT:

Background

This study aims to examine the relationship between race and rural-urban context in head and neck cancer (HNC) survival and determine factors that potentially drive this disparity.

Methods

Using the National Cancer Database from 2004 to 2015, we identified a retrospective cohort of 146,256 patients with HNC. Kaplan-Meier survival curves and the Cox proportional hazards regression were used to calculate adjusted HRs.

Results

Median survival by patient subgroup was as follows: White urban [67 months; 95% confidence interval (CI), 66.0-67.9], White rural (59.1 months; 95% CI, 57.2-60), Black urban (43.1 months; 95% CI, 41.1-44.5), and Black rural (35.1 months; 95% CI, 31.9-39.0). The difference in 5-year survival, stratified by rural-urban context, was greater among Black patients [Δ restricted mean survival time (ΔRMST) 0.18; 95% CI, 0.10-0.27] than White patients (ΔRMST 0.08; 95% CI, 0.06-0.11). In the univariate Cox proportional hazards analysis with White urban patients as reference group, Black rural patients had the worst survival (HR, 1.45; 95% CI, 1.43-1.48; P < 0.001), followed by Black urban patients (HR, 1.29; 95% CI, 1.28-1.30; P < 0.001), and White rural patients (HR, 1.08; 95% CI, 1.07-1.09; P < 0.001). This disparity persisted when controlling for demographic, socioeconomic, and clinical factors.

Conclusions

Black patients with HNC, specifically those living in rural areas, have decreased survival. Survival differences by rural-urban status are greater among Black patients than White patients.

Impact

We have shown that race and rural-urban status impact HNC survival outcomes. Our findings will help future researchers to better frame approaches to address this disparity.

SUBMITTER: Clarke JA

PROVIDER: S-EPMC9073403 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Head and Neck Cancer Survival Disparities by Race and Rural-Urban Context.

Clarke Jacob A JA Despotis Alyssa M AM Ramirez Ricardo J RJ Zevallos Jose P JP Mazul Angela L AL

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 20200729 10

<h4>Background</h4>This study aims to examine the relationship between race and rural-urban context in head and neck cancer (HNC) survival and determine factors that potentially drive this disparity.<h4>Methods</h4>Using the National Cancer Database from 2004 to 2015, we identified a retrospective cohort of 146,256 patients with HNC. Kaplan-Meier survival curves and the Cox proportional hazards regression were used to calculate adjusted HRs.<h4>Results</h4>Median survival by patient subgroup was ...[more]

PMID: 32727721

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Project description:BackgroundHead and Neck Cancer (HNC) is a major cause of cancer morbidity and mortality in the United States, but the burden is not evenly distributed. Rural and racial disparities are obvious across the HNC continuum. Most HNC disparities research have emphasized individual factors perpetuating rural and racial disparities, ignoring the role of community-level factors.MethodsWe analyzed data from the Surveillance Epidemiology and End Results (SEER) program's "Specialized HNC-Human Papillomavirus (HPV) Census-Tract SES" datafile (2010-2016). In addition to cancer patient characteristics, this data includes a socioeconomic status (SES) quintile based on the patient's census-tract. Our outcome variables included whether the HNC patient 1) was diagnosed at a distant stage, 2) received initial treatment two or more months after diagnosis, 3) received radiation therapy, 4) survived two years after diagnosis. We tested for differences across SES quintiles, in the full sample and then within rural/racial categories. We then tested for differences between each rural/racial category conditional on SES quintile.ResultsFor both HPV(-) and HPV + HNCs, patients in higher SES census-tracts have 8-10% lower rates of distant stage diagnoses and delayed treatment initiation, and 12.0-14.5% higher survival rates than patients in lower SES census-tracts. Radiation treatment only varied across SES quintiles in HPV + HNC patients. We find little evidence of rural-urban differences within each socioeconomic quintile. However, within lower SES quintiles, we found significant racial disparities in delayed detection and treatment. These differences were largest in the lowest SES quintile, as non-Hispanic Black patients reported 10-11% higher rates of delayed detection and treatment initiation than non-Hispanic White patients.ConclusionsOur research illustrates the value and constraints in leveraging community-level factors in health disparities research that can ultimately assist in designing effective policies that address and achieve rural and racial cancer equity.

Project description:IntroductionInfant mortality rates are higher in nonmetropolitan areas versus large metropolitan areas. Variation by race/ethnicity and cause of death has not been assessed. Urban-rural infant mortality rate differences were quantified by race/ethnicity and cause of death.MethodsNational Vital Statistics System linked birth/infant death data (2014-2016) were analyzed in 2019 by 3 urban-rural county classifications: large metropolitan, medium/small metropolitan, and nonmetropolitan. Excess infant mortality rates (rate differences) by urban-rural classification were calculated relative to large metropolitan areas overall and for each racial/ethnic group. The number of excess deaths, population attributable fraction, and proportion of excess deaths attributable to underlying causes of death was calculated.ResultsNonmetropolitan areas had the highest excess infant mortality rate overall. Excess infant mortality rates were substantially lower for Hispanic infants than other races/ethnicities. Overall, 7.4% of infant deaths would be prevented if all areas had the infant mortality rate of large metropolitan areas. With more than half of births occurring outside of large metropolitan areas, the population attributable fraction was highest for American Indian/Alaska Natives (20.3%) and whites, non-Hispanic (14.3%). Excess infant mortality rates in both nonmetropolitan and medium/small metropolitan areas were primarily attributable to sudden unexpected infant deaths (42.3% and 31.9%) and congenital anomalies (30.1% and 26.8%). This pattern was consistent for all racial/ethnic groups except black, non-Hispanic infants, for whom preterm-related and sudden unexpected infant deaths accounted for the largest share of excess infant mortality rates.ConclusionsInfant mortality increases with rurality, and excess infant mortality rates are predominantly attributable to sudden unexpected infant deaths and congenital anomalies, with differences by race/ethnicity regarding magnitude and cause of death.

Project description:BackgroundDemographic development in rural and urban areas differs substantially. Demographics and access to specialized head and neck cancer centers may affect head and neck cancer patients' (HNCP) outcomes. Here, we compare epidemiological indicators and outcomes of HNCP in rural and urban Germany.Patients and methodsIn a retrospective analysis of data from the Center for Cancer Registry Data (ZfKD) between 2002 and 2017, 212,920 HNCP were included. Incidence, demographics, travel distance to specialized centers, and ground values were compared between rural and urban areas with a focus on their association with patient outcomes.ResultsThe mean age of HNCP was significantly higher in urban areas (mean difference = 1.4 years; p < 0.0001), but increased at a comparable rate (p = 0.26) in rural and urban areas during the observation period. Gender imbalance was higher in rural areas (mean ratio of men/women: 4.1 vs. 3.1; p < 0.0001), but showed a comparable trend toward equilibration in both, rural and urban districts (p = 0.46). The portion of HNCP of the entire HNCP population living in urban areas increased from 55.9% in the year 2002 to 76.4% in the year 2017. There was no significant difference or change in the ratio of advanced to low UICC stage during the observation period (p = 0.26). However, travel distances to medical centers were higher in rural areas, especially (p < 0.0001) in East Germany. Median survival of HNCP in rural areas was significantly lower than in urban areas (42 months [SEM = 0.7; CI: 40.5-43.5] vs. 54 months [SEM = 1.2; CI: 51.7-56.3]; p < 0.0001) in East Germany, whereas in West Germany no significant difference was observed (59 months [SEM = 0.8; CI: 57.4-60.6] vs. 60 months [SEM = 0.5; CI: 59.0-61.0]; p = 0.15).ConclusionsPlace of residence contributes to survival outcome of HNCP. Access to specialized care and socioeconomic factors could be improved in East Germany.

Dataset Information

Head and Neck Cancer Survival Disparities by Race and Rural-Urban Context.

Background

Methods

Results

Conclusions

Impact

Publications

Head and Neck Cancer Survival Disparities by Race and Rural-Urban Context.

Similar Datasets

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