Persistent poverty and incidence-based melanoma mortality in Texas.

PURPOSE: Previous studies have shown that individuals living in areas with persistent poverty (PP) experience worse cancer outcomes compared to those living in areas with transient or no persistent poverty (nPP). The association between PP and melanoma outcomes remains unexplored. We hypothesized that melanoma patients living in PP counties (defined as counties with ≥ 20% of residents living at or below the federal poverty level for the past two decennial censuses) would exhibit higher rates of incidence-based melanoma mortality (IMM). METHODS: We used Texas Cancer Registry data to identify the patients diagnosed with invasive melanoma or melanoma in situ (stages 0 through 4) between 2000 and 2018 (n = 82,458). Each patient's PP status was determined by their county of residence at the time of diagnosis. RESULTS: After adjusting for demographic variables, logistic regression analyses revealed that melanoma patients in PP counties had statistically significant higher IMM compared to those in nPP counties (17.4% versus 11.3%) with an adjusted odds ratio of 1.35 (95% CI 1.25-1.47). CONCLUSION: These findings highlight the relationship between persistent poverty and incidence-based melanoma mortality rates, revealing that melanoma patients residing in counties with persistent poverty have higher melanoma-specific mortality compared to those residing in counties with transient or no poverty. This study further emphasizes the importance of considering area-specific socioeconomic characteristics when implementing place-based interventions to facilitate early melanoma diagnosis and improve melanoma treatment outcomes.

Barriers, facilitators, and priority needs related to cancer prevention, control, and research in rural, persistent poverty areas.

PURPOSE: The purpose of this study was to identify the barriers, facilitators, and priority needs related to cancer prevention, control, and research in persistent poverty areas. METHODS: We conducted three focus groups with 17 providers and staff of primary care clinics serving persistent poverty areas throughout the state of Arkansas. RESULTS: We identified multiple barriers, facilitators, and priority needs related to cancer prevention and control at primary care clinics serving persistent poverty areas. Barriers included transportation, medical costs, limited providers and service availability, and patient fear/discomfort with cancer topics. Facilitators identified were cancer navigators and community health events/services, and priority needs included patient education, comprehensive workflows, improved communication, and integration of cancer navigators into healthcare teams. Barriers to cancer-related research were lack of provider/staff time, patient uncertainty/skepticism, patient health literacy, and provider skepticism/concerns regarding patient burden. Research facilitators included better informing providers/staff about research studies and leveraging navigators as a bridge between clinic and patients. CONCLUSION: Our results inform opportunities to adapt and implement evidence-based interventions to improve cancer prevention, control, and research in persistent poverty areas. To improve cancer prevention and control, we recommend locally-informed strategies to mitigate patient barriers, improved patient education efforts, standardized patient navigation workflows, improved integration of cancer navigators into care teams, and leveraging community health events. Dedicated staff time for research, coordination of research and clinical activities, and educating providers/staff about research studies could improve cancer-related research activities in persistent poverty areas.

Association of Race/Ethnicity, Persistent Poverty, and Opioid Access Among Patients with Gastrointestinal Cancer Near the End of Life.

BACKGROUND: Social determinants of health (SDoH) can impact access to healthcare. We sought to assess the association between persistent poverty (PP), race/ethnicity, and opioid access among patients with gastrointestinal cancer near the end-of-life (EOL). METHODS: SEER-Medicare patients with gastric, liver, pancreatic, biliary, colon, and rectal cancer were identified between 2008 and 2016 near EOL, defined as 30 days before death or hospice enrolment. Data were linked with county-level poverty from the American Community Survey and the US Department of Agriculture (2000-2015). Counties were categorized as never high-poverty (NHP), intermittent high-poverty (IHP) and persistent poverty (PP). Trends in opioid prescription fills and daily dosages (morphine milligram equivalents per day) were examined. RESULTS: Among 48,631 Medicare beneficiaries (liver: n = 6551, 13.5%; pancreas: n = 13,559, 27.9%; gastric: n = 5486, 1.3%; colorectal: n = 23,035, 47.4%), there was a steady decrease in opioid prescriptions near EOL. Black, Asian, Hispanic, and other racial groups had markedly decreased odds of filling an opioid prescription near EOL (Black: OR 0.84, 95% CI 0.79-0.90; Asian: OR 0.86, 95% CI 0.79-0.94; Hispanic: OR 0.90, 95% CI 0.84-0.95; Other: OR 0.83, 95% CI 0.74-0.93; all p < 0.05). Even after filling an opioid prescription, this subset of patients received lower daily doses versus White patients (Black: -16.5 percentage points, 95% CI -21.2 to -11.6; Asian: -11.9 percentage points, 95% CI -18.5 to -4.9; Hispanic: -19.1 percentage points, 95%CI -23.5 to -14.6; all p < 0.05). The disparity in opioid access and average daily doses among was attenuated in IHP/PP areas for Asian, Hispanic, and other racial groups, yet exacerbated among Black patients. CONCLUSIONS: Race/ethnicity-based disparities in EOL pain management persist with SDoH-based variations in EOL opioid use. In particular, PP impacted EOL opioid access and utilization.

Persistent poverty impacts access to minimally invasive surgery among patients with hepatopancreatobiliary cancer.

BACKGROUND AND OBJECTIVES: Minimally invasive surgery (MIS) has been successfully adopted in hepatopancreatobiliary (HPB) cancer, and has been associated with improved perioperative and comparable oncological outcomes. We sought to define the impact of county-level duration of poverty on access to MIS and clinical outcomes among patients with HPB cancer undergoing surgical treatment. MATERIALS AND METHODS: Data on patients diagnosed with HPB cancer were obtained from the Surveillance, Epidemiology, and End Results (SEER)-Medicare data (2010-2016). County-level poverty data were obtained from the American Community Survey and the U.S. Department of Agriculture, and categorized into three groups: never high poverty (NHP), intermittent high poverty (IHP), and persistent poverty (PP). Multivariable regression was used to assess the relationship between PP and MIS. RESULTS: Among 8098 patients, 82% (n = 664) resided in regions with NHP, 13.6% (n = 1104) resided in regions with IHP, and 4.4% (n = 350) resided in regions with PP. Median age at the diagnosis was 71 years (interquartile range [IQR]: 67-77). Patients from IHP and PP counties had lower odds of undergoing MIS (IHP/PP vs. NHP, odds ratio [OR]: 0.59, 95% confidence interval [CI]: 0.36-0.96, p = 0.034) and being discharged home (IHP/PP vs. NHP, OR: 0.64, 95% CI: 0.43-0.99, p = 0.043), as well as a higher risk of 1-year mortality (IHP/PP vs. NHP, HR: 1.51, 95% CI: 1.036-2.209, p = 0.032) compared with patients residing in NHP counties. CONCLUSIONS: Duration of county-level poverty was associated with lower receipt of MIS and unfavorable clinical and survival outcomes among patients with HPB cancer. There is a need to improve access to modern surgical treatment options among vulnerable, PP populations.

Association of persistent poverty and U.S. News and World Report hospital rankings among patients undergoing major surgery.

BACKGROUND: We sought to determine the association of persistent poverty on patient outcomes relative to US News World Report (USNWR) rankings among individuals undergoing common major surgical procedures. METHODS: Medicare beneficiaries who underwent AAA repair, CABG, colectomy, or lung resection were identified. Multivariable logistic regression was used to evaluate the relationship between care at USNWR hospitals, county-level duration of poverty (never-high poverty (NHP); intermittent high poverty (IHP): persistent-poverty (PP)) and 30-day mortality. RESULTS: Among 916,164 beneficiaries, individuals residing in PP neighborhoods who received surgical care at ranked hospitals had lower risk-adjusted 30-day mortality (5.89% vs 8.89%; p â€‹< â€‹0.001). On multivariable analysis, 30-day mortality was lower at ranked hospitals across all poverty categories with greatest decrease among patients from PP regions (NHP: OR-0.91, 95%CI0.87-0.95; IHP: OR-0.78, 95%CI0.69-0.88; PP: OR-0.69, 95%CI0.57-0.83; p â€‹< â€‹0.001). CONCLUSION: Receipt of surgical care at top-ranked hospitals was associated with improvement in postoperative mortality, especially among patients residing in persistent poverty..

Sampling coverage of the Arkansas all-payer claims database by County's persistent poverty designation.

OBJECTIVES: To evaluate the quality of Arkansas All-Payer Claims Database (APCD) for disparity research in persistent poverty areas by determining (1) its representativeness of Arkansas population, (2) variation by county, and (3) differences in coverage between persistent poverty and other counties. DATA SOURCES: Cross-sectional study using 2019 Arkansas APCD member enrollment data and county-level data from various agencies. DATA COLLECTION/EXTRACTION METHODS: An alias identifier linked persons across insurance plans. County FIPS codes were used to extract county-level variables. STUDY DESIGN: Cohort 1 included individuals with ≥1 day of medical coverage in 2019. Cohort 2 included individuals with medical coverage in June, 2019. Cohort 3 included individuals with continuous medical coverage in 2019. Sampling proportions of a county's population in the three cohorts were compared between persistent poverty and other counties. Inverse-variance weighted linear regression was used to identify county-level socioeconomic and demographic characteristics associated with inclusion in each cohort. PRINCIPAL FINDINGS: In 2019, 73.6% of Arkansans had medical coverage for ≥1 day (Cohort 1), 66.3% had coverage in June (Cohort 2), and 58.8% had continuous coverage (Cohort 3) in APCD. Sampling proportions varied by county (median[range]: Cohort 1, 78% [58%-95%]; Cohort 2, 71% [51%-88%]; and Cohort 3, 64% [44%-80%]), and were higher among persistent poverty counties than others for all three cohorts (mean [SD], persistent poverty vs. other: Cohort 1: 80.9% [6.4%] vs. 77.1% [6.3%], p = 0.04; Cohort 2: 74.0% [6.4%] vs. 70.1% [6.2%], p = 0.03; Cohort 3: 66.4% [6.1%] vs. 62.7% [6.0%], p = 0.03). In the 2019 APCD, larger counties and those with higher proportions of females or persons 65+ years had higher coverage, whereas counties with higher per capita household income, median home value, or disproportionately more persons of other races (non-White and non-Black) had lower coverage (p < 0.05 for all three cohorts). CONCLUSIONS: The Arkansas APCD had good coverage of Arkansas population. Coverage was higher in persistent poverty counties than others.

The Role of County-Level Persistent Poverty in Stroke Mortality in the USA.

Stroke is a major health concern in the USA, disproportionately affecting socioeconomically disadvantaged groups. This study investigates the link between persistent poverty and stroke mortality rates in residents aged 65 and above, positing that sustained economic challenges at the county level correlate with an increase in stroke-related deaths. Persistent poverty refers to a long-term state where a significant portion of a population lives below the poverty threshold for an extended period, typically measured over several decades. It captures the chronic nature of economic hardship faced by a community across multiple generations. Utilizing data from the CDC Wonder database and the American Community Survey, we conducted a comprehensive analysis across US counties, differentiating them by persistent poverty status. Our results indicate a statistically significant link between persistent poverty and increased mortality from ischemic and hemorrhagic strokes; counties afflicted by long-standing poverty were associated with an additional 33.49 ischemic and 8.16 hemorrhagic stroke deaths per 100,000 residents annually compared to their wealthier counterparts. These disparities persisted when controlling for known stroke risk factors and other socioeconomic variables. These results highlight the need for targeted public health strategies and interventions to address the disparities in stroke mortality rates and the broader implications for healthcare equity. The study underscores the vital role of socioeconomic context in health outcomes and the urgency of addressing long-term poverty as a key determinant of public health.

Poverty dynamics in Germany: Evidence on the relationship between persistent poverty and health behavior.

Previous studies have found poverty to be related to lower levels of health due to poor health behavior such as unhealthy eating, smoking or less physical activity. Longer periods of poverty seem to be especially harmful for individual health behavior. Studies have shown that poverty has a dynamic character. Moreover, poverty is increasingly regarded as being a multidimensional construct and one that considers more aspects than income alone. Against this background this paper analyzes the relationship between health behavior and persistent spells of income poverty as well as a combined poverty indicator using data of the German Socio-Economic Panel (2000-2010). Next to cross-sectional logistic regression models we estimate fixed-effects models to analyze the effect of persistent poverty on dietary behavior, tobacco consumption, and physical activity. Cross-sectional results suggest that persistent poverty is related to poor health behavior, particularly regarding tobacco consumption and physical activity. Results also show that multidimensional and dynamic aspects of poverty matter. Complementary panel analyses reveal negative effects for the combined poverty indicator only for dietary behavior in the total sample. However, by analyzing the sample by gender we identify further effects of persistent poverty on health behavior. The analyses show that not only do individuals in poverty but also those in precarious situations show health-damaging behavior more often.

Cancer screening delivery in persistent poverty rural counties.

BACKGROUND: Rural populations are diagnosed with cancer at different rate and stages than nonrural populations, and race/ethnicity as well as the area-level income exacerbates the differences. The purpose of this analysis was to explore cancer screening rates across persistent poverty rural counties, with emphasis on nonwhite populations. METHODS: The 2008 Behavioral Risk Factor Surveillance System was used, combined with data from the Area Resource File (analytic n = 309 937 unweighted, 196 344 347 weighted). Unadjusted analysis estimated screening rates for breast, cervical, and colorectal cancer. Multivariate analysis estimated the odds of screening, controlling for individual and county-level effects. RESULTS: Rural residents, particularly those in persistent poverty counties, were less likely to be screened than urban residents. More African Americans in persistent poverty rural counties reported not having mammography screening (18.3%) compared to 15.9% of urban African Americans. Hispanics had low screening rates across all service types. Multivariate analysis continued to find disparities in screening rates, after controlling for individual and county-level factors. African Americans in persistent poverty rural counties were more likely to be screened for both breast cancer (odds ratio, 1.44; 95% confidence interval, 1.12-1.85) and cervical cancer (1.46; 1.07-1.99) when compared with urban whites. CONCLUSIONS: Disparities in cancer screening rates exist across not only race/ethnicity but also county type. These disparities cannot be fully explained by either individual or county-level effects. Programs have been successful in improving screening rates for African American women and should be expanded to target other vulnerable women as well as other services such as colorectal cancer screening.