Geographic Variation in Late-Stage Cervical Cancer Diagnosis.

Importance: There are stark disparities in cervical cancer burden in the United States, notably by race and ethnicity and geography. Late-stage diagnosis is an indicator of inadequate access to and utilization of screening. Objective: To identify geospatial clusters of late-stage cervical cancer at time of diagnosis in Texas. Design, Setting, and Participants: This population-based cross-sectional study used incident cervical cancer data from the Texas Cancer Registry from 2014 to 2018 of female patients aged 18 years or older. Late-stage cervical cancer cases were geocoded at the census tract level (n = 5265) using their residential coordinates (latitude and longitude) at the time of diagnosis. Statistical analysis was performed from April to September 2023. Exposures: Census tract of residence at diagnosis. Main Outcome and Measures: Late-stage cervical cancer diagnosis (ie, cases classified by the National Cancer Institute Surveillance, Epidemiology and End Results summary stages 2 to 4 [regional spread] or 7 [distant metastasis]). A Poisson probability-based model of the SaTScan purely spatial scan statistics was applied at the census tract-level to identify geographic clusters of higher (hot spots) or lower (cold spots) proportions than expected of late-stage cervical cancer diagnosis and adjusted for age. Results: Among a total of 6484 female patients with incident cervical cancer cases (mean [SD] age, 48.7 [14.7] years), 2300 (35.5%) were Hispanic, 798 (12.3%) were non-Hispanic Black, 3090 (47.6%) were non-Hispanic White, and 296 (4.6%) were other race or ethnicity. Of the 6484 patients, 2892 with late-stage diagnosis (mean [SD] age, 51.8 [14.4] years were analyzed. Among patients with late-stage diagnosis, 1069 (37.0%) were Hispanic, 417 (14.4%) were non-Hispanic Black, 1307 (45.2%) were non-Hispanic White, and 99 (3.4%) were other race or ethnicity. SaTScan spatial analysis identified 7 statistically significant clusters of late-stage cervical cancer diagnosis in Texas, of which 4 were hot spots and 3 were cold spots. Hot spots included 1128 census tracts, predominantly in the South Texas Plains, Gulf Coast, and Prairies and Lakes (North Texas) regions. Of the 2892 patients with late-stage cervical cancer, 880 (30.4%) were observed within hot spots. Census tract-level comparison of characteristics of clusters suggested that hot spots differed significantly from cold spots and the rest of Texas by proportions of racial and ethnic groups, non-US born persons, and socioeconomic status. Conclusions and Relevance: In this cross-sectional study examining geospatial clusters of late-stage cervical cancer diagnosis, place-based disparities were found in late-stage cervical cancer diagnosis in Texas. These findings suggest that these communities may benefit from aggressive cervical cancer interventions.

Trends and Variations in Pancreatic Cancer Mortality Among US Metro and Nonmetro Adults, 1999-2020.

BACKGROUND: Pancreatic cancer is the third leading cause of cancer deaths in the United States. Despite decreasing cancer mortality rates as a whole, pancreatic cancer death rates in the United States remain steady and demonstrate racial/ethnic disparities. Divergent cancer mortality trends have also been observed between metro and nonmetro populations. We therefore aimed to compare metro and nonmetro trends in pancreatic cancer mortality rates in the United States from 1999 to 2020 and investigate potential sex and racial/ethnic differences. METHODS: We analyzed National Center for Health Statistics data for all pancreatic cancer deaths among individuals aged 25 years or older in the United States. We estimated the average annual percent change (AAPC) in age-standardized pancreatic cancer mortality rates in metro versus nonmetro areas by sex and race/ethnicity. RESULTS: Of the total 810,425 pancreatic cancer-related deaths identified from 1999 to 2020, 668,547 occurred in metro areas and 141,878 in nonmetro areas. Non-Hispanic Black individuals had the highest rates of pancreatic cancer mortality regardless of metropolitan status. In both metro and nonmetro areas, pancreatic cancer mortality rates among non-Hispanic White individuals increased over the study period (AAPC: metro, males, 0.32%; females, 0.27%; nonmetro, males, 0.77%; females, 0.62%). Non-Hispanic Black individuals in metro areas had a decrease in pancreatic cancer mortality (AAPC: males, -0.25%; females, -0.29%), but rates among non-Hispanic Black women in nonmetro areas increased (AAPC, 0.49%). CONCLUSIONS: There are variations not only in pancreatic cancer mortality by metro and nonmetro status but also by sex and race/ethnicity within these areas. Individuals who live in nonmetro areas have higher pancreatic cancer mortality rates and increasing death rates compared with their metro counterparts. These findings highlight the need for targeted cancer prevention strategies that are specific to metro or nonmetro populations.

Political Ideology and Trust in Government Health Agencies for Cancer Information.

This cross-sectional study assesses the association between political ideology and trust in government health agencies for cancer information.

Trends in Up-To-Date Colorectal Cancer Screening Among U.S. Adults Aged 50-75 Years and Variations by Race/Ethnicity and U.S. Census Bureau Divisions.

Introduction: Mortality rates from colorectal cancer have declined over the past decades owing to population-based life-saving screening interventions. However, screening inequalities continue among racial and ethnic minorities despite having a higher disease burden. In this study, we assessed the patterns of up-to-date colorectal cancer screening rates among racial/ethnic groups across the U.S. Census Bureau Divisions. Methods: This population-based cross-sectional study used weighted data from 4 cycles of the Behavioral Risk Factors Surveillance System (2014, 2016, 2018, and 2020) of adults aged 50‒75 years without a previous diagnosis of colorectal cancer. The primary outcome was guideline-recommended up-to-date colorectal cancer screening. We used logistic regression models to examine temporal trends in up-to-date colorectal cancer screening from 2014 to 2020. In addition, we conducted detailed descriptive statistics of up-to-date screening rates, comparing trends in 2020 with those in 2014 overall by race/ethnicity and U.S. census divisions. Results: The overall proportion of individuals with up-to-date colorectal cancer screening increased from 66.5% in 2014 to 72.5% in 2020 (p<0.001). For racial/ethnic subgroups, from 2014 to 2020, screening rates increased significantly among non-Hispanic Whites (68.5%‒74.5%, p<0.001), non-Hispanic Blacks (68.0%‒74.6%, p<0.001), and Hispanics (51.5%‒62.8%, p<0.001). However, increases were not observed in all U.S. Census Bureau Divisions. Conclusions: Although colorectal cancer screening rates improved over time, they fall short of the 80% target. Substantial racial/ethnic and geographic disparities remain. Future studies investigating the factors influencing these disparities are needed.

Disparities in cancer mortality patterns: A comprehensive examination of U.S. rural and urban adults, 1999-2020.

BACKGROUND: Cancer mortality rates overall in the U.S. have decreased significantly; however, the rate of decline has not been uniform across sociodemographic groups. We aimed to compare trends in cancer mortality rates from 1999 to 2020 between rural and urban individuals and to examine whether any rural-urban differences are uniform across racial and ethnic groups. METHODS: We used U.S.-wide data from the National Center for Health Statistics, for all cancer deaths among individuals aged 25 years or older. We estimated average annual percentage change (AAPC) in age-standardized cancer mortality rates in the U.S. by cancer type, rural-urban status, sex, and race and ethnicity. RESULTS: There was a larger reduction in cancer mortality rates among individuals from urban (males: AAPC, -1.96%; 95% CI, -2.03, -1.90; females: AAPC, -1.56%; 95% CI, -1.64, -1.48) than rural (males: AAPC, -1.43%; 95% CI, -1.47, -1.39; females: AAPC, -0.93; 95% CI, -1.03, -0.82) areas. AAPCs for cancer types were uniformly higher among urban areas compared with rural areas. Despite overall decreases, deaths rates for liver and pancreas cancers increased, including in the most recent period among males (2012-2020, APC, 1.34; 95% CI, 0.49, 2.20) and females (2013-2020, APC, 1.52; 95% CI, 0.03, 3.02) in rural areas. CONCLUSIONS: Cancer death rates decreased in all racial and ethnic populations; however, the rural-urban differences varied by race/ethnicity. The rate of decline in mortality rates were lower in rural areas and death rates for liver and pancreas cancers increased, particularly for individuals living in rural America.

Burden of high-risk phenotype of heavy alcohol consumption among obese U.S. population: results from National Health and Nutrition Examination Survey, 1999-2020.

Background: The phenotype of combined heavy alcohol consumption and obesity has the potential to pose as a considerable health burden in the U.S. No studies using nationally representative data in the U.S. have reported their secular joint prevalence trends. We estimated the prevalence and examined the joint trends of heavy alcohol use and obesity over time among adult U.S. men and women in different age groups and according to race/ethnicity. Methods: Using data from 10 cycles of the U.S. National Health and Nutrition Examination Survey (NHANES) from 1999 to 2020, we examined secular trends in the combined phenotype of heavy drinking and obesity overall and by age-group, sex, and race/ethnicity. The main outcome measures were prevalence of heavy alcohol consumption (>14 drinks/week in men and >7 drinks/week in women) and obesity (BMI ≥30). Findings: In 45,292 adults (22,684 men, mean age 49.26 years; and 22,608 women, mean age 49.86), the overall weighted prevalence of combined heavy alcohol drinking and obesity increased from 1.8% (95% CI: 1.2%, 3.1%) in 1999-2000 to 3.1% (95% CI: 2.7%, 3.7%) in 2017-2020 representing an increase of 72% over time. In the joinpoint regression, the combined phenotype of heavy alcohol consumption and obesity increased by 3.25% (95% CI: 1.67%, 4.85%) per year overall from 1999 to 2017. An increasing trend of 9.94% (95% CI: 2.37%, 18.06%) per year was observed among adults aged between 40 and 59 years from 2007 onwards. Prevalence of heavy alcohol consumption in obesity increased at a faster rate among women (APC, 3.96%; 95% CI: 2.14%, 5.82%) than men (APC, 2.47%; 95% CI: 0.63%, 4.35%), and increased among non-Hispanic Whites (APC, 4.12%; 95% CI: 1.50%, 6.82%) and non-Hispanic Blacks (APC, 2.78%; 95% CI: 0.47%, 5.14%), but not Hispanics. Interpretation: The prevalence of combined heavy alcohol consumption and obesity increased overall in the U.S., but the rate of increase differed by age, sex, and race/ethnic groups. Given their independent and potential synergistic effects on premature mortality, public health policies on alcohol consumption need to reflect the background obesity epidemic. Funding: Cancer Prevention & Research Institute of Texas (CPRIT) for the Systems Epidemiology of Cancer Training (SECT) Program (RP210037; PI: A. Thrift).

Racial/Ethnic Disparities in Cervical Cancer Stage at Diagnosis: Mediating Effects of Neighborhood-level Socioeconomic Deprivation.

BACKGROUND: Mortality from cervical cancer has declined steadily in the United States over the past several decades due to widespread screening for precancerous and early-stage cervical cancer (ECC), which are significantly easier to treat compared with late-stage cervical cancer (LCC). Unequal screening access continues to cause significant racial/ethnic disparities in cervical cancer diagnosis stage. This study examined the underlying role of neighborhood-level socioeconomic disadvantage as a potential mediator of the association between race/ethnicity and cervical cancer diagnosis stage. METHODS: We analyzed Texas Cancer Registry data for cervical cancer cases diagnosed among women ages 18 or older from 2010 to 2018. We performed causal mediation analyses of the association between race/ethnicity and cervical cancer stage at diagnosis mediated by neighborhood-level socioeconomic disadvantage. RESULTS: Of the 9,192 women with cervical cancer, 4,720 (51.3%) had LCC at diagnosis. Compared with non-Hispanic white (NHW) women (106.13, standard deviation (SD) = 13.32), non-Hispanic Black (NHB; 111.46, SD = 9.55) and Hispanic (112.32, SD = 9.42) women had higher area deprivation index (ADI) and had greater odds of LCC diagnosis [total effects: adjusted odds ratios (AOR) = 1.29 (95% CI, 1.11-1.46) and AOR 1.14 (95% CI, 1.03-1.25), respectively]. Approximately 34.7% and 71.6% of the disparity in LCC diagnosis were attributable to higher neighborhood socioeconomic disadvantage among NHB and Hispanic women, respectively. CONCLUSIONS: LCC disparity varied by race/ethnicity and was partly attributable to neighborhood disadvantage. The disparity among Hispanic women due to neighborhood deprivation was twice as high among NHB women. IMPACT: Findings may be used to develop targeted race- and place-specific interventions to improve cancer care equity.

Trends and Racial/Ethnic Differences in Predictors of Cervical Cancer Screening among US Women Ages 30-64 Years.

BACKGROUND: Cervical cancer screening (CCS) participation has decreased in the United States over the last several decades, contributing to cervical cancer's sustained incidence and mortality. This study examined recent trends and racial/ethnic differences in predictors of CCS uptake among US women. METHODS: We analyzed combined data from the 2016 to 2020 Behavioral Risk Factor Surveillance System (BRFSS) and included 235,713 women ages 30 to 64 years without a hysterectomy. We used simple linear regression to assess trends over time and multivariable logistic regression models to evaluate racial/ethnic differences in predictors of up-to-date CCS. RESULTS: We found little change in CCS over the 5-year interval and screening rates disparities among racial minority women. The overall population showed stable CCS completion rates from 2016 to 2018 (84.2% vs. 84.6%), and then a small dip from 2018 to 2020 (from 84.6% to 83.3%). Despite a slight decline in 2020, HPV-based testing increased significantly among all subgroups and overall, from 2016 to 2020 (from 43.4% to 52.7%). Multivariable regression models showed racial/ethnic differences in predictors of CCS. Across all racial/ethnic subgroups, older women were less likely to receive timely screening. Women who had routine check-ups had higher odds of being up to date. However, the link between CCS and socioeconomic status varied. CONCLUSIONS: Age and racial/ethnic disparities persist in CCS, and predictors of screening vary. Notwithstanding, routine health examinations was positively associated with screening regardless of race/ethnicity. IMPACT: Our analyses suggest that leveraging primary care to optimize CCS uptake may reduce gaps in screening.

Developing and Evaluating a Quality Improvement Intervention to Facilitate Patient Navigation in the Accountable Health Communities Model.

Introduction: The Accountable Health Communities (AHC) Model was designed to address the health-related social needs of Centers for Medicare & Medicaid Services beneficiaries. Bridge organizations across the AHC Model have identified lack of technical assistance and peer planning as potential barriers to Model success, particularly around patient navigation. The technical assistance and peer planning literature lacks an organizing, conceptual framework, but implementation science frameworks could serve as useful guides. The Strengthening Peer AHC Navigation (SPAN) research protocol seeks to fill this gap and will apply three implementation science frameworks, Consolidated Framework for Implementation Research, Intervention Mapping, and the Expert Recommendations for Implementing Change compilation, to develop a multi-level quality improvement intervention and evaluate the impact of peer planning on Model outcomes. The aims of the SPAN study are to implement and evaluate a novel multi-level quality improvement intervention to improve AHC implementation and navigation milestones through structured peer planning and to provide successful technical assistance for the AHC Model. Methods and Analysis: The quality improvement intervention is outlined in four Tasks: (1) Assessment - to conduct an assessment of each bridge organization's current implementation, needs, and readiness in AHC Model navigation activities; (2) Planning - to engage in a peer planning approach to build capacity for AHC Model navigation activities; (3) Implementation with technical assistance - Co-creation of a quality improvement protocol for AHC Model navigation activities; and (4) Evaluation - measure the impact of the peer planning and technical assistance approach. Alongside the development and implementation of the quality improvement intervention, this protocol describes a mixed method, convergent parallel study design which will be used to evaluate whether the quality improvement intervention will lead to better outcomes. Tasks will be replicated with five bridge organizations participating in the AHC Model. Discussion: This research protocol provides a framework that can be used to conduct structured peer planning with technical assistance for social needs programs. This study will provide data on both implementation and outcomes which eventually may impact healthcare cost and utilization.