Rural-Urban Disparities In All-Cause Mortality Among Low-Income Medicare Beneficiaries, 2004-17.
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SUBMITTER: Loccoh E
PROVIDER: S-EPMC8168613 | biostudies-literature |
REPOSITORIES: biostudies-literature
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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.
| S-EPMC6980981 | biostudies-literature
Project description:BackgroundDelays between breast cancer diagnosis and surgery are associated with worsened survival. Delays are more common in urban-residing patients, although factors specific to surgical delays among rural and urban patients are not well understood.MethodsWe used a 100% sample of fee-for-service Medicare claims during 2007-2014 to identify 238,491 women diagnosed with early-stage breast cancer undergoing initial surgery and assessed whether they experienced biopsy-to-surgery intervals > 90 days. We employed multilevel regression to identify associations between delays and patient, regional, and surgeon characteristics, both in combined analyses and stratified by rurality of patient residence.ResultsDelays were more prevalent among urban patients (2.5%) than rural patients (1.9%). Rural patients with medium- or high-volume surgeons had lower odds of delay than patients with low-volume surgeons (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.58-0.88; OR = 0.74, 95% CI = 0.61-0.90). Rural patients whose surgeon operated at ≥ 3 hospitals were more likely to experience delays (OR = 1.29, 95% CI = 1.01-1.64, Ref: 1 hospital). Patient driving times ≥ 1 h were associated with delays among urban patients only. Age, black race, Hispanic ethnicity, multimorbidity, and academic/specialty hospital status were associated with delays.ConclusionsSociodemographic, geographic, surgeon, and facility factors have distinct associations with > 90-day delays to initial breast cancer surgery. Interventions to improve timeliness of breast cancer surgery may have disparate impacts on vulnerable populations by rural-urban status.
| S-EPMC9128633 | biostudies-literature
Project description:Higher mortality in Blacks than Whites has been consistently reported in the US, but previous investigations have not accounted for poverty at the individual level. The health of its population is an important part of the capital of a nation. We examined the association between individual level poverty and disability and racial mortality differences in a 5% Medicare beneficiary random sample from 2004 to 2010. Cox regression models examined associations of race with all-cause mortality, adjusted for demographics, comorbidities, disability, neighborhood income, and Medicare "Buy-in" status (a proxy for individual level poverty) in 1,190,510 Black and White beneficiaries between 65 and 99 years old as of January 1, 2014, who had full and primary Medicare Part A and B coverage in 2004, and lived in one of the 50 states or Washington DC. Overall, black beneficiaries had higher sex-and-age adjusted mortality than Whites (hazard ratio [HR] 1.18). Controlling for health-related measures and disability reduced the HR for Black beneficiaries to 1.03. Adding "Buy-in" as an individual level covariate lowered the HR for Black beneficiaries to 0.92. Neither of the residential measures added to the predictive model. We conclude that poorer health status, excess disability, and most importantly, greater poverty among Black beneficiaries accounts for racial mortality differences in the aged US Medicare population. Poverty fosters social and health inequalities, including mortality disparities, notwithstanding national health insurance for the US elderly. Controlling for individual level poverty, in contrast to the common use of area level poverty in previous analyses, accounts for the White survival advantage in Medicare beneficiaries, and should be a covariate in analyses of administrative databases.
| S-EPMC4852486 | biostudies-literature
Project description:BACKGROUND:Radon is an inert gas formed from the decay of naturally-occurring materials in the earth's crust. It infiltrates into homes from soil, water, and construction materials. Its decay products are radionuclides, which attach to ambient particles. Residential radon is one of the leading risk factors for lung cancer. The scarce evidence for associations with other mortality causes originates mostly from occupational studies. METHODS:In a cohort study with 14?years of follow-up (2000-2013), we evaluated the association between chronic radon exposure and all-cause mortality, and explored whether there are subpopulations who are more vulnerable to radon effects. We included 87,296,195 person-years of follow-up from all Medicare beneficiaries in the Mid-Atlantic and Northeastern U.S. states. We examined the association between the logarithm of county-averaged radon (ln(Rn)) and mortality and assessed effect modification by chronic conditions. RESULTS:An interquartile range increase in the ln(Rn) was associated with a 2·62% increase (95% CI 2·52%; 2·73%) in mortality, independent of PM2.5 exposure. Larger mortality risks were observed among individuals with respiratory, cardiovascular and metabolic diseases, with the highest associations observed among those with diabetes (4·98% increase), heart failure (4·58% increase), and chronic obstructive pulmonary disease (4·49% increase). CONCLUSION:We found an increased risk for all-cause mortality associated with increased radon exposure. The risk was enhanced among susceptible individuals with chronic conditions. We believe this is the first cohort study to identify populations at higher risk for non-malignant health consequences of radon exposure. Due to the limitations in exposure assessment and availability of individual confounders, these findings should be interpreted with caution.
| S-EPMC6679989 | biostudies-literature
Project description:IntroductionTo evaluate impact of urbanicity and household income on hepatocellular carcinoma (HCC) incidence among US adults.MethodsHCC incidence was evaluated by rural-urban geography and median annual household income using 2004-2017 Surveillance, Epidemiology, and End Results data.ResultsAlthough overall HCC incidence was highest in large metropolitan regions, average annual percent change in HCC incidence was greatest among more rural regions. Individuals in lower income categories had highest HCC incidence and greatest average annual percent change in HCC incidence.DiscussionDisparities in HCC incidence by urbanicity and income likely reflect differences in risk factors, health-related behaviors, and barriers in access to healthcare services.
| S-EPMC8136433 | biostudies-literature
Project description:OBJECTIVE:To understand the role of county characteristics in the growing divide between rural and urban mortality from 1980 to 2010. DATA SOURCE:Age-adjusted mortality rates for all U.S. counties from 1980 to 2010 were obtained from the CDC Compressed Mortality File and combined with county characteristics from the U.S. Census Bureau, the Area Health Resources File, and the Inter-University Consortium for Political and Social research. STUDY DESIGN:We used Oaxaca-Blinder decomposition to assess the extent to which rural-urban mortality disparities are explained by observed county characteristics at each decade. PRINCIPAL FINDINGS:Decomposition shows that, at each decade, differences in rural/urban characteristics are sufficient to explain differences in mortality. Furthermore, starting in 1990, rural counties have significantly lower predicted mortality than urban counties when given identical county characteristics. We find changes in the effect of characteristics on mortality, not the characteristics themselves, drive the growing mortality divide. CONCLUSIONS:Differences in economic and demographic characteristics between rural and urban counties largely explain the differences in age-adjusted mortality in any given year. Over time, the role these characteristics play in improving mortality has increased differentially for urban counties. As characteristics continue changing in importance as determinants of health, this divide may continue to widen.
| S-EPMC6232410 | biostudies-literature
Project description:BACKGROUND:As the US population ages and non-Hodgkin lymphoma (NHL)-specific mortality declines, deaths from causes other than NHL will become increasingly important in treatment decision making for older patients with NHL. The objective of the current study was to describe how the 5-year cumulative incidence of NHL-specific and other-cause mortality varies by subtype, age, comorbidity level, and time since diagnosis in older patients. METHODS:Using the Surveillance, Epidemiology, and End Results cancer registry data linked to Medicare claims, patients aged ?66 years were identified at the time of diagnosis with a first, primary NHL diagnosis from 2004 through 2013. Death certificate data and Fine-Gray competing risks models were used to estimate the 5-year cumulative incidence of NHL-specific and other-cause mortality by NHL subtype, age, and comorbidity level. Estimates were displayed over time using stacked cumulative incidence curves. RESULTS:Among 30,666 patients with NHL, 32% died of NHL and 13% died of other causes within 5 years of diagnosis. The cumulative incidence of other-cause mortality increased with age and comorbidity level for all subtypes. Among patients with aggressive NHL subtypes, NHL-specific mortality exceeded other-cause mortality across all age groups, comorbidity levels, and number of years after diagnosis. For patients with indolent NHL subtypes, other-cause mortality was similar to or exceeded NHL-specific mortality, especially among older patients with severe comorbidity or with the indolent marginal zone, lymphoplasmacytic, and mycosis fungoides subtypes. CONCLUSIONS:The findings of the current study suggest that mortality from causes other than NHL are important for patients of an older age, with a higher comorbidity level, and with indolent disease. Evidence from the current study can guide the development of tools for estimating individual prognosis that inform treatment discussions in patients with NHL.
| S-EPMC6719299 | biostudies-literature
Project description:Background Racial/ethnic disparities in acute stroke care may impact stroke outcomes. We compared outcomes by race/ethnicity among elderly Medicare beneficiaries in hospitals participating in the FL-PR CReSD (Florida-Puerto Rico Collaboration to Reduce Stroke Disparities) registry with those in hospitals not participating in any quality improvement programs (non- QI ) in Florida and Puerto Rico (PR). Methods and Results The population included fee-for-service Medicare beneficiaries age 65+ in Florida and PR , discharged with primary diagnosis of ischemic stroke ( International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM], codes 433, 434, 436) in 2010-2013. We used mixed logistic models to assess racial/ethnic differences in outcomes (in-hospital, 30-day, and 1-year mortality, and 30-day readmission) for CR e SD and non- QI hospitals, adjusted for demographic and clinical characteristics. The study included 62 CR e SD hospitals (N=44 013, 84% white, 9% black, 4% Florida Hispanic, 1% PR Hispanic) and 113 non- QI hospitals (N=14 422, 78% white, 7% black, 5% Florida Hispanic, 8% PR Hispanic). For patients treated at CR e SD hospitals, there were no differences in risk-adjusted in-hospital mortality by race/ethnicity; blacks had lower 30-day mortality versus whites (odds ratio, 0.86; 95% confidence interval, 0.77-0.97), but higher 30-day readmission (hazard ratio, 1.09; 1.00-1.18) and 1-year mortality (odds ratio, 1.13; 1.04-1.23); Florida Hispanics had lower 30-day readmission (hazard ratio, 0.87; 0.78-0.98). PR Hispanic and black stroke patients treated at non- QI hospitals had higher risk-adjusted in-hospital, 30-day and 1-year mortality, but similar 30-day readmission versus whites treated in non- QI hospitals. Conclusions Disparities in outcomes were less common in CR e SD than non- QI hospitals, suggesting the benefits of quality improvement programs, particularly those focusing on racial/ethnic disparities.
| S-EPMC6405703 | biostudies-literature
Project description:BackgroundData are needed on the use of oral anticoagulation in patients with atrial fibrillation (AF) in rural versus urban areas, including the initiation of direct oral anticoagulants (DOACs).ObjectiveWe used Medicare data to examine rural/urban differences in anticoagulation use in patients with AF.MethodsWe identified incident AF in a 20% sample of fee-for-service Medicare beneficiaries (aged ≥ 65 years) from 2011 to 2016 and collected ZIP code and covariates at the time of AF. We identified the first anticoagulant prescription filled, if any, following AF diagnosis. We categorized beneficiaries into four rural/urban areas using rural-urban commuting area codes and used Poisson regression models to compare anticoagulant use.ResultsWe included 447,252 patients with AF (mean age 79 ± 8 years), of which 82% were urban, 9% large rural, 5% small rural, and 4% isolated. The percentage who initiated an anticoagulant rose from 34% in 2011 to 53% in 2016, paralleling the uptake of DOACs. In a multivariable-adjusted analysis, those in rural areas (vs. urban) were more likely to initiate an anticoagulant. However, rural beneficiaries (vs. urban) were less likely to initiate a DOAC; those in isolated areas were 17% less likely (95% confidence interval [CI] 13-20), those in small rural areas were 12% less likely (95% CI 9-15), and those in large rural areas were 10% less likely (95% CI 8-12).ConclusionAmong Medicare beneficiaries with AF, anticoagulation use was low but increased over time with the introduction of DOACs. Rural beneficiaries were less likely to receive a DOAC.
| S-EPMC9833644 | biostudies-literature
Project description:IntroductionSuicidality is higher for gender minorities than the general population, yet little is known about suicidality in disabled or older adult gender minorities.MethodsThis study used 2009-2014 Medicare claims to identify people with gender identity-related diagnosis codes (disabled, n=6,678; older adult, n=2,018) and compared their prevalence of suicidality with a 5% random non-gender minority beneficiary sample (disabled, n=535,801; older adult, n=1,700,008). Correlates of suicidality were assessed (via chi-square) for each of the 4 participant groups separately, and then disparities within eligibility status (disabled or older adult) were assessed using logistic regression models, adjusting first for age and mental health chronic conditions and then additionally for Medicaid eligibility, race/ethnicity, or U.S. region (each separately). The primary hypotheses were that gender minority beneficiaries would have higher suicidality but that suicidality disparities would persist after adjusting for covariates. Data were analyzed between 2017 and 2019.ResultsGender minority beneficiaries had higher unadjusted suicidality than non-gender minority beneficiaries in the disabled cohort (18.5% vs 7.1%, p<0.001). Significant suicidality predictors in all 4 groups included the following: age (except in older adult gender minorities), Medicaid eligibility, depression or behavioral health conditions, avoidable hospitalizations, and violence victimization. In age- and mental health-adjusted logistic regression models, gender minorities had higher odds of suicidality than non-gender minority beneficiaries (disabled, OR=1.95, p<0.0001; older adult, OR=2.10, p<0.0001). Disparities were not attenuated after adjusting for Medicaid eligibility, race/ethnicity, or region.ConclusionsHeightened suicidality among identified gender minority Medicare beneficiaries highlights a pressing need to identify and reduce barriers to wellness in this population.
| S-EPMC7246148 | biostudies-literature