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Examining factors underlying geographic disparities in early-onset colorectal cancer survival among men in the United States.

ABSTRACT: Background: Despite overall incidence reduction in colorectal cancer (CRC) the past 32 years, unexplained incidence and mortality rates have increased significantly in younger adults ages 20-49. To improve understanding of sex-specific differences among this population, we aimed to determine the variance in early-onset CRC (EOCRC) survival among US men diagnosed with CRC before age 50, while considering individual- and county-level CRC outcome determinants. Methods: Hotspots (i.e., counties with high EOCRC mortality rates) were derived from Centers for Disease Control and Prevention data from 1999-2017, and linked to SEER data for men aged 15-49 years with CRC. Cox proportional hazards models were used to compare CRC-specific survival probability and hazard in hotspots versus non-significant counties. A generalized R² was used to estimate the total variance in EOCRC survival explained by clinicodemographic and county-level determinants. Results: We identified 232 hotspot counties for EOCRC-214 (92%) of which were in the South. In hotspots, 1,009 men were diagnosed with EOCRC and 31,438 in non-significant counties. After adjusting for age, race, tumor stage and grade, surgery, chemotherapy, radiation therapy, and marital status, men residing in hotspot counties had higher hazard of CRC-specific death (HR 1.24, 95% CI, 1.12-1.36). Individual/county-level factors explained nearly 35% of the variation in survival, and adult smoking served as the strongest county-level determinant of EOCRC survival. Conclusion: Distinct geographic patterns of EOCRC were predominantly located in the southern US. Survival after EOCRC diagnosis was significantly worse among men residing in hotspot counties.

SUBMITTER: Rogers CR

PROVIDER: S-EPMC7269786 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Examining factors underlying geographic disparities in early-onset colorectal cancer survival among men in the United States.

Rogers Charles R CR Moore Justin X JX Qeadan Fares F Gu Lily Y LY Huntington Matthew S MS Holowatyj Andreana N AN

American journal of cancer research 20200501 5

<i>Background:</i> Despite overall incidence reduction in colorectal cancer (CRC) the past 32 years, unexplained incidence and mortality rates have increased significantly in younger adults ages 20-49. To improve understanding of sex-specific differences among this population, we aimed to determine the variance in early-onset CRC (EOCRC) survival among US men diagnosed with CRC before age 50, while considering individual- and county-level CRC outcome determinants. <i>Methods:</i> Hotspots (i.e., ...[more]

PMID: 32509399

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Project description:BackgroundAlthough early-onset colorectal cancer (EOCRC) incidence rates (IRs) are increasing, geographic and intra-racial IR disparities are not well defined.Methods2000-2015 Surveillance, Epidemiology, and End Results (SEER) program CRC IR Analysis (170,434 cases) was performed from ages 30 to 60 in four US regions, 18 individual registries, metropolitan and nonmetropolitan locations and stratified by race. Analyses were conducted in 1-year and 5-year age increments.ResultsWide US regional EOCRC IR variations exist: For example, age 45 IRs in the south are 26.8/100,000, 36.0% higher than the West, 19.7/100,000 (p < 0.0001). Disparities magnify between individual registries: EOCRC IRs in highest risk registries were 177-348% (Alaska Natives), 75-200% (Hawaii), 76-128% (Louisiana), and 61-125% (Kentucky) higher than lowest risk registries depending on age. EOCRC IRs are 18.2%-25.6% higher in nonmetropolitan versus metropolitan settings. Wide geographic intra-racial disparities exist. Within the White population, the greatest IR difference (78.8%) was between Kentucky (5.9/100,000) and Los Angeles (3.3/100,000) in 30- to 34-year-olds (p < .0001). Within the Black population, the greatest difference (136.2%) was between rural Georgia (30.7/100,000) and California excluding San Francisco-Oakland/San Jose-Monterey/Los Angeles (13/100,000) in 40- to 44-year-olds (p = 0003).ConclusionMarked geographic EOCRC disparities exist with disproportionately high IRs in Alaska Natives, Hawaii, and southern registries. Geographic intra-racial disparities are present within White and Black populations. In Blacks, there are disproportionately high EOCRC IRs in rural Georgia. Although vigilance is required in all populations, attention must be paid to these higher risk populations. Potential interventions include assuring early investigation of symptoms, targeting modifiable risk factors and utilizing earlier age 45 screening options supported by some guidelines.

Project description:ObjectiveTo characterize the quantity and quality of hospital capacity across the United States.Data sourcesWe combine a 2017 near-census of US hospital inpatient discharges from the Healthcare Cost and Utilization Project (HCUP) with American Hospital Association Survey, Hospital Compare, and American Community Survey data.Study designThis study produces local hospital capacity quantity and care quality measures by allocating capacity to zip codes using market shares and population totals. Disparities in these measures are examined by race and ethnicity, income, age, and urbanicity.Data collection/extraction methodsAll data are derived from pre-existing sources. All hospitals and zip codes in states, including the District of Columbia, contributing complete data to HCUP in 2017 are included.Principal findingsNon-Hispanic Black individuals living in zip codes supplied, on average, 0.11 more beds per 1000 population (SE = 0.01) than places where non-Hispanic White individuals live. However, the hospitals supplying this capacity have 0.36 fewer staff per bed (SE = 0.03) and perform worse on many care quality measures. Zip codes in the most urban parts of America have the least hospital capacity (2.11 beds per 1000 persons; SEM = 0.01) from across the rural-urban continuum. While more rural areas have markedly higher capacity levels, urban areas have advantages in staff and capital per bed. We do not find systematic differences in care quality between rural and urban areas.ConclusionsThis study highlights the importance of lower hospital care quality and resource intensity in driving racial and ethnic, as well as income, disparities in hospital care-related outcomes. This study also contributes an alternative approach for measuring local hospital capacity that accounts for cross-hospital service area flows. Adjusting for these flows is necessary to avoid underestimating the supply of capacity in rural areas and overestimating it in places where non-Hispanic Black individuals tend to live.

Project description:COVID-19 is an important public health concern due to its high morbidity, mortality and socioeconomic impact. Its burden varies by geographic location affecting some communities more than others. Identifying these disparities is important for guiding health planning and service provision. Therefore, this study investigated geographical disparities and temporal changes of the percentage of positive COVID-19 tests and COVID-19 incidence risk in North Dakota. COVID-19 retrospective data on total number of tests and confirmed cases reported in North Dakota from March 2020 to September 2021 were obtained from the North Dakota COVID-19 Dashboard and Department of Health, respectively. Monthly incidence risks of the disease were calculated and reported as number of cases per 100,000 persons. To adjust for geographic autocorrelation and the small number problem, Spatial Empirical Bayesian (SEB) smoothing was performed using queen spatial weights. Identification of high-risk geographic clusters of percentages of positive tests and COVID-19 incidence risks were accomplished using Tango's flexible spatial scan statistic. ArcGIS was used to display and visiualize the geographic distribution of percentages of positive tests, COVID-19 incidence risks, and high-risk clusters. County-level percentages of positive tests and SEB incidence risks varied by geographic location ranging from 0.11% to 13.67% and 122 to 16,443 cases per 100,000 persons, respectively. Clusters of high percentages of positive tests were consistently detected in the western part of the state. High incidence risks were identified in the central and south-western parts of the state, where significant high-risk spatial clusters were reported. Additionally, two peaks (August 2020-December 2020 and August 2021-September 2021) and two non-peak periods of COVID-19 incidence risk (March 2020-July 2020 and January 2021-July 2021) were observed. Geographic disparities in COVID incidence risks exist in North Dakota with high-risk clusters being identified in the rural central and southwest parts of the state. These findings are useful for guiding intervention strategies by identifying high risk communities so that resources for disease control can be better allocated to communities in need based on empirical evidence. Future studies will investigate predictors of the identified disparities so as to guide planning, disease control and health policy.

Dataset Information

Examining factors underlying geographic disparities in early-onset colorectal cancer survival among men in the United States.

Publications

Examining factors underlying geographic disparities in early-onset colorectal cancer survival among men in the United States.

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