Uterine leiomyomata claim rate estimates and demographic characteristics by county. Florida, 2010-2019.

To describe the demographic characteristics and estimate the uterine leiomyomata claim rates (ULCRs) by women 18 years and older in Florida, we conducted a cross-sectional analysis of the 2010-2019 administrative claims for uterine leiomyomata and associated study variables (age, race, ethnicity, county of residence, anatomic site, length of stay, and additional diagnoses). ULCR ratios were estimated by race and ethnicity, using ULCR for non-Hispanic White women as the reference group. We identified 232,475 claims, most of which were among non-Hispanic White women in their forties. The overall ULCR estimate [95 percent CI] was 284.8 [284.21, 285.39] per 100,000 women 18 years and older, with a small, nonsignificant trend to increase over time (R2 = .310; p = .094). Black, Hispanic, and other women of color presented with higher ULCR ratios (4.84, 1.87, and 1.58, respectively). Urban counties had significantly higher ULCRs than suburban and rural counties. While non-Hispanic White women had the highest frequency of ULCRs, women of color-especially Black women-presented with significantly higher ULCR ratios. The epidemiologic profile of uterine leiomyomata in terms of age, race, ethnicity, and geographic location points to unmet healthcare needs among specific demographic and geographic groups of women in Florida.

Characteristics Associated With Nonreceipt of Surveillance Testing and the Relationship With Survival in Stage II and III Colon Cancer.

We investigated characteristics of patients with colon cancer that predicted nonreceipt of posttreatment surveillance testing and the subsequent associations between surveillance status and survival outcomes. This was a retrospective cohort study of the Surveillance, Epidemiology, and End Results database combined with Medicare claims. Patients diagnosed between 2002 and 2009 with disease stages II and III and who were between 66 and 84 years of age were eligible. A minimum of 3 years' follow-up was required, and patients were categorized as having received any surveillance testing (any testing) versus none (no testing). Poisson regression was used to obtain risk ratios with 95% confidence intervals for the relative likelihood of No Testing. Cox models were used to obtain subdistribution hazard ratios with 95% confidence intervals for 5- and 10-year cancer-specific and noncancer deaths. There were 16,009 colon cancer cases analyzed. Patient characteristics that predicted No Testing included older age, Black race, stage III disease, and chemotherapy. Patients in the No Testing group had an increased rate of 10-year cancer death that was greater for patients with stage III disease (subdistribution hazard ratio = 1.79, 95% confidence interval: 1.48, 2.17) than those with stage II disease (subdistribution hazard ratio = 1.41, 95% confidence interval: 1.19, 1.66). Greater efforts are needed to ensure all patients receive the highest quality medical care after diagnosis of colon cancer.

Financial hardship among rural cancer survivors: An analysis of the Medical Expenditure Panel Survey.

Some cancer survivors report spending 20% of their annual income on medical care. Undue financial burden that patients face related to the cost of care is referred to as financial hardship, which may be more prevalent among rural cancer survivors. This study examined contrasts in financial hardship among 1419 rural and urban cancer survivors using the 2011 Medical Expenditure Panel Survey supplement - The Effects of Cancer and Its Treatment on Finances. We combined four questions, creating a measure of material financial hardship, and examined one question on financial worry. We conducted multivariable logistic regression analyses, which produced odds ratios (OR) for factors associated with financial hardship and worry, and then generated average adjusted predicted probabilities. We focused on rural and urban differences classified by metropolitan statistical area (MSA) designation, controlling for age, education, race, marital status, health insurance, family income, and time since last cancer treatment. More rural cancer survivors reported financial hardship than urban survivors (23.9% versus 17.1%). However, our adjusted models revealed no significant impact of survivors' MSA designation on financial hardship or worry. Average adjusted predicted probabilities of financial hardship were 18.6% for urban survivors (Confidence Interval [CI]: 11.9%-27.5%) and 24.2% for rural survivors (CI: 15.0%-36.2%). For financial worry, average adjusted predicted probabilities were 19.9% for urban survivors (CI: 12.0%-31.0%) and 18.8% for rural survivors (CI: 12.1%-28.0%). Improving patient-provider communication through decision aids and/or patient navigators may be helpful to reduce financial hardship and worry regardless of rural-urban status.

Rural-urban differences in financial burden among cancer survivors: an analysis of a nationally representative survey.

PURPOSE: Rural cancer survivors may disproportionately experience financial problems due to their cancer because of greater travel costs, higher uninsured/underinsured rates, and other factors compared to their urban counterparts. Our objective was to examine rural-urban differences in reported financial problems due to cancer using a nationally representative survey. METHODS: We used data from three iterations of the National Cancer Institute's Health Information and National Trends Survey (2012, 2014, and 2017) to identify participants who had a previous or current cancer diagnosis. Our outcome of interest was self-reported financial problems associated with cancer diagnosis and treatment. Rural-urban status was defined using 2003 Rural-Urban Continuum Codes. We calculated weighted percentages and Wald chi-square statistics to assess rural-urban differences in demographic and cancer characteristics. In multivariable logistic regression models, we examined the association between rural-urban status and other factors and financial problems, reporting the corresponding adjusted predicted probabilities. FINDINGS: Our sample included 1359 cancer survivors. Rural cancer survivors were more likely to be married, retired, and live in the Midwest or South. Over half (50.5%) of rural cancer survivors reported financial problems due to cancer compared to 38.8% of urban survivors (p = 0.02). This difference was attenuated in multivariable models, 49.3 and 38.7% in rural and urban survivors, respectively (p = 0.06). CONCLUSIONS: A higher proportion of rural survivors reported financial problems associated with their cancer diagnosis and treatment compared to urban survivors. Future research should aim to elucidate these disparities and interventions should be tested to address the cancer-related financial problems experienced by rural survivors.

The Costs and Valuation of Health Impacts of Measles and Rubella Risk Management Policies.

National and global health policymakers require good information about the costs and benefits of their investments in measles and rubella immunization programs. Building on our review of the existing measles and rubella health economics literature, we develop inputs for use in regional and global models of the expected future benefits and costs of vaccination, treatment, surveillance, and other global coordination activities. Given diversity in the world and limited data, we characterize the costs for countries according to the 2013 World Bank income levels using 2013 U.S. dollars (2013$US). We estimate that routine immunization and supplemental immunization activities will cost governments and donors over 2013$US 2.3 billion per year for the foreseeable future, with high-income countries accounting for 55% of the costs, to vaccinate global birth cohorts of approximately 134 million surviving infants and to protect the global population of over 7 billion people. We find significantly higher costs and health consequences of measles or rubella disease than with vaccine use, with the expected disability-adjusted life year (DALY) loss for case of disease generally at least 100 times the loss per vaccine dose. To support estimates of the economic benefits of investments in measles and/or rubella elimination or control, we characterize the probabilities of various sequelae of measles and rubella infections and vaccine adverse events, the DALY inputs for health outcomes, and the associated treatment costs. Managing measles and rubella to achieve the existing and future regional measles and rubella goals and the objectives of the Global Vaccine Action Plan will require an ongoing commitment of financial resources that will prevent adverse health outcomes and save the associated treatment costs.

Systematic Review of Health Economic Analyses of Measles and Rubella Immunization Interventions.

Economic analyses for vaccine-preventable diseases provide important insights about the value of prevention. We reviewed the literature to identify all of the peer-reviewed, published economic analyses of interventions related to measles and rubella immunization options to assess the different types of analyses performed and characterize key insights. We searched PubMed, the Science Citation Index, and references from relevant articles for studies in English and found 67 analyses that reported primary data and quantitative estimates of benefit-cost or cost-effectiveness analyses for measles and/or rubella immunization interventions. We removed studies that we characterized as cost-minimization analyses from this sample because they generally provide insights that focused on more optimal strategies to achieve the same health outcome. The 67 analyses we included demonstrate the large economic benefits associated with preventing measles and rubella infections using vaccines and the benefit of combining measles and rubella antigens into a formulation that saves the costs associated with injecting the vaccines separately. Despite the importance of population immunity and dynamic viral transmission, most of the analyses used static models to estimate cases prevented and characterize benefits, although the use of dynamic models continues to increase. Many of the analyses focused on characterizing the most significant adverse outcomes (e.g., mortality for measles, congenital rubella syndrome for rubella) and/or only direct costs, and the most complete analyses present data from high-income countries.

Systematic Review of Measles and Rubella Serology Studies.

Serological tests provide information about individual immunity from historical infection or immunization. Cross-sectional serological studies provide data about the age- and sex-specific immunity levels for individuals in the studied population, and these data can provide a point of comparison for the results of transmission models. In the context of developing an integrated model for measles and rubella transmission, we reviewed the existing measles and rubella literature to identify the results of national serological studies that provided cross-sectional estimates of population immunity at the time of data collection. We systematically searched PubMed, the Science Citation Index, and references we identified from relevant articles published in English. We extracted serological data for comparison to transmission model outputs. For rubella, serological studies of women of child-bearing age provide information about the potential risks of infants born with congenital rubella syndrome. Serological studies also document the loss of maternal antibodies, which occurs at different rates for the different viruses and according to the nature of the induced immunity (i.e., infection or vaccine). The serological evidence remains limited for some areas, with studies from developed countries representing a disproportionate part of the evidence. The collection and review of serological evidence can help program managers identify immunity gaps in the population, which may help them better understand the characteristics of individuals within their populations who may participate in transmission and manage risks.

Synthesis of Evidence to Characterize National Measles and Rubella Exposure and Immunization Histories.

Population immunity depends on the dynamic levels of immunization coverage that countries achieve over time and any transmission of viruses that occur within the population that induce immunity. In the context of developing a dynamic transmission model for measles and rubella to support analyses of future immunization policy options, we assessed the model inputs required to reproduce past behavior and to provide some confidence about model performance at the national level. We reviewed the data available from the World Health Organization (WHO) and existing measles and rubella literature for evidence of historical reported routine and supplemental immunization activities and reported cases and outbreaks. We constructed model input profiles for 180 WHO member states and three other areas to support disease transmission model development and calibration. The profiles demonstrate the significant variability in immunization strategies used historically by regions and member states and the epidemiological implications of these historical choices. The profiles provide a historical perspective on measles and rubella immunization globally at the national level, and they may help immunization program managers identify existing immunity and/or knowledge gaps.

Co-occurrence of mental illness and substance use among US pregnant individuals, 2012-2021.

AIM: Substance use disorders are increasingly prevalent among pregnant individuals, with evident risks of adverse perinatal outcomes. This study examines substance use (tobacco, alcohol and marijuana) among pregnant individuals with mental illness. METHODS: A national representative sample of pregnant individuals were derived from 2012 to 2021 National Survey of Drug Use and Health data. Associations of past-year mental illness with past-month polysubstance use and each substance use were analyzed by logistic regression models, with complex sampling weights and survey year. RESULTS: Among 6801 pregnant individuals, 16.4% reported having any mental illness (AMI) in 2012 and 2013, increasing to 23.8% in 2020-2021; and SMI increased from 3.3% to 9.4%. Polysubstance use increased disproportionately among those with severe mental illness (SMI), from 14.0% to 18.6%. Pregnant individuals with greater severity of mental illness had higher odds of polysubstance use (Adjusted Odds Ratio, 95% CI: AMI but no SMI vs. without AMI: 1.59 [1.04, 2.44]; SMI vs. without AMI: 5.48 [2.77, 10.82]). CONCLUSIONS: Pregnant individuals with greater severity of mental illness were more likely to engage in substance use. Evidence-based educational, screening and treatment services, and public policy changes are warranted to mitigate the harmful health outcomes of substance use among US pregnant individuals with mental illness.

Rural-urban and racial differences in cesarean deliveries before and during the COVID-19 pandemic in South Carolina.

PROBLEM: Unnecessary cesarean delivery increases the risk of complications for birthing people and infants. BACKGROUND: Examining the intersectionality of rural and racial disparities in low-risk cesarean delivery is necessary to improve equity in quality obstetrics care. AIM: To evaluate rural and racial/ethnic differences in Nulliparous, Term, Singleton, Vertex (NTSV) and primary cesarean delivery rates before and during the COVID-19 pandemic in South Carolina. METHODS: This retrospective cohort study used birth certificates linked to all-payer hospital discharge data for South Carolina childbirths from 2018 to 2021. Multilevel logistic regressions examined differences in cesarean outcomes by rural/urban hospital location and race/ethnicity of birthing people during pre-pandemic (January 2018-February 2020) and peri-pandemic periods (March 2020-December 2021), adjusting for maternal, infant, and hospital characteristics among two low-risk pregnancy cohorts: 1) Nulliparous, Term, Singleton, Vertex (NTSV, n = 65,974) and 2) those without prior cesarean (primary, n = 167,928). FINDINGS: Black vs. White disparities remained for NTSV cesarean in adjusted models (urban pre-pandemic aOR = 1.34, 95 %CI 1.23-1.46) but were not significantly different for primary cesarean, apart from rural settings peri-pandemic (aOR = 0.87, 95 %CI 0.79-0.96). Hispanic individuals had higher adjusted odds of NTSV cesarean only for rural settings pre-pandemic (aOR = 1.28, 95 %CI 1.05-1.56), but this disparity was not significant during the pandemic (aOR = 1.13, 95 %CI 0.93-1.37). DISCUSSION AND CONCLUSION: Observed rural and racial/ethnic disparities in cesarean delivery outcomes were present before and during the COVID-19 pandemic. Strategies effective in reducing racial disparities in primary cesarean may be useful in also reducing Black vs. White NTSV cesarean disparities.

An urban versus rural comparison of obesity between youth with and without autism spectrum disorder.

To examine obesity prevalence in youth with autism spectrum disorder (ASD) and neurotypical (NT) youth living in rural and urban areas. Data is from the 2019 National Survey of Children's Health, a national dataset that collected information on child health and well-being. Overweight/obesity status was based on parent/caregiver report of child height and weight. Urban and rural status was determined by whether children lived in/near a city. Chi-square tests were conducted to examine differences in obesity prevalence in youth with ASD and NT youth living in rural and urban areas. Overall, 43.9% of youth with ASD were overweight/obese compared to 30.6% of NT youth (p < 0.001). There was a significantly higher proportion of NT youth living in rural areas (36.44%) who were overweight/obese compared to urban NT youth (30.35%, p = 0.002). There were no significant differences in the proportion of overweight/obese youth with ASD living in rural areas (44.02%) compared to urban areas (44.44%, p = 0.96). Urban residence reduced the odds of overweight/obese compared to rural residence among NT youth (aOR = 0.77, 95%CI = 0.66-0.90) but urban/rural residence was not a significant factor in models for ASD youth (aOR = 1.25, 95%CI = 0.63-2.48). In contrast to NT youth, there were no differences in levels of overweight/obesity in youth with ASD living in rural areas compared to urban areas. Further research on how sociodemographic factors and geographic location affect obesity in youth with ASD is warranted.

Geographic variations in driving time to US mental health care, digital access to technology, and household crowdedness.

Rural residents face significant barriers in accessing mental health care, particularly as the demand for such services grows. Telemedicine has been proposed as an answer to rural gaps, but this service requires both access to appropriate technology and private space in the home to be useful. Our study documented longer travel time to mental health facilities in rural areas and greater barriers to digital devices for telemedicine access in those same areas. However, urban areas demonstrated greater household crowdedness than rural noncore areas when looking at private space within the home. Across ZIP Code Tabulation Areas located more than an estimated 30 minutes from the nearest outpatient care, 675 950 (13.1%) rural households vs 329 950 (6.4%) urban households had no broadband internet. The current Affordable Connectivity Program should target mental health-underserved communities, especially in rural America, where the scarcity of digital access compounds travel burdens to mental health care.

Obesogenic Behaviors of Rural Children on School and Nonschool Days.

Background: Children living in rural areas are at increased risk of overweight and obesity compared with their urban-dwelling counterparts. The purpose of this study was to provide preliminary evidence of rural children's obesogenic behaviors (e.g., activity, sedentary behaviors, sleep, and diet) during school days, nonschool weekdays, and weekend days. Methods: A repeated measures 14-day observational study was conducted early March 2020. Children (n = 54, 92% 6-11 years old; 66% female; 98% non-Hispanic white; 22% overweight or obese) wore accelerometers on the nondominant wrist for 24 hours/day for 14 consecutive days to capture moderate-to-vigorous physical activity (MVPA), sedentary time, and sleep. Parents completed diaries to report daily activities, diet, and screen time of their child each day. Mixed effect models compared behaviors between school days, nonschool weekdays, and weekend days. Results: Children accumulated +16 additional minutes/day of MVPA (95% confidence interval, CI: +10 to +23 minutes/day), reduced sedentary time (-68 minutes/day, 95% CI: -84 to -51 minutes/day), and reduced screen time (-99 minutes/day; 95% CI: -117 to -81 minutes/day) on school days vs. nonschool weekdays. Similar patterns were observed on school weekdays days vs. weekend days, and on nonschool days when children attended a structured program vs. days they did not attend. Minimal differences were observed in reported consumption of food groups across different days. Conclusions: Preliminary evidence suggests rural children display multiple unfavorable obesogenic behaviors on days when they do not attend school or other structured programs. Future interventions targeting obesogenic behaviors of rural children may want to target times when rural children are not engaged in school and "school-like" environments.

Rural-urban differences in educational attainment among registered nurses: Implications for achieving an 80% BSN workforce.

BACKGROUND: Multiple professional organizations and institutes recommend the Bachelor of Science in Nursing (BSN) degree as a minimum standard for registered nurse practice. Achieving this standard may be particularly challenging in rural areas, which tend to be more economically disadvantaged and have fewer opportunities for higher educational attainment compared to urban areas. PURPOSE: Our primary objective was to provide updated information on rural-urban differences in educational attainment. We also examined rural-urban differences in employment type, salary, and demographics among registered nurses in different practice settings. METHODS: Data were obtained from the 2011-2015 American Community Survey (ACS) Public Use Microdata Sample (PUMS). The sample included registered nurses (RN) between the ages of 18-64 years (n = 34,104) from all 50 states. Chi-square tests, t-tests, and multivariable logistic regression were used to examine the relationship between rurality and BSN preparedness and salary across practice settings. RESULTS: Urban nurses were more likely to have a BSN degree than rural nurses (57.9% versus 46.1%, respectively; p < 0.0001), and BSN preparedness varied by state. In adjusted analysis, factors in addition to residence associated with BSN preparation included age, race, and region of the country. Differences in wages were experienced by nurses across practice settings with urban nurses generally earning significantly higher salaries across practice settings (p < 0.0001). CONCLUSIONS: Strategies to advance nursing workforce education are needed in rural areas and may contribute to improved care quality and health outcomes.

Challenges and Opportunities for Lung Cancer Screening in Rural America.

Rural populations have higher rates of smoking and both lung cancer incidence and mortality compared with their urban peers. As such, it is imperative that high-risk, rural populations have access to recommended low-dose CT (LDCT) screening, which can detect lung cancer at an earlier, more treatable stage. Data from the 2015 National Health Interview Survey, a nationally representative survey, were analyzed to assess nonmetropolitan-metropolitan and geographic differences in LDCT utilization among screening-eligible individuals. Screening uptake did not differ by nonmetropolitan vs. metropolitan status (3.72% and 3.83%, respectively). Regional uptake varied from 1.58% in the West to 10.11% in the Northeast. Additionally, nonmetropolitan populations represent a disproportionately high 23% of the screening-eligible population despite accounting for only 15% of the US population. There are two key challenges to high-quality LDCT screening experienced by rural populations: (1) geographic access to LDCT screening programs and (2) provider-patient communication. Despite the increased availability of LDCT screening centers since 2015, which is when most insurance plans began to cover the costs of screening, centers are geographically maldistributed relative to the rural-urban and regional need. Although decision aids can facilitate discussion between providers and patients regarding the risks and benefits of LDCT screening, research on the uptake and utility of these tools in rural areas is very limited. Analyses of population-based surveys and administrative and clinical data are needed to continue to surveil screening utilization, elucidate predictors of screening use, and inform shared decision-making tools and interventions for at-risk rural populations.

Disparities in Utilization of Medical Specialists for Colonoscopy.

Purpose: Colonoscopy is the preferred screening modality for colorectal cancer (CRC) prevention. The quality of the procedure varies although medical specialists such as gastroenterologists and colorectal surgeons tend to have better outcomes. We aimed to determine whether there are demographic and clinical differences between those who received a colonoscopy from a specialist versus those who received a colonoscopy from a nonspecialist. Methods: Using the population-based South Carolina Outpatient Ambulatory Surgery Database, we looked retrospectively to obtain patient-level endoscopy records from 2010 to 2014. We used multilevel logistic regression to model whether patients saw a specialist for their colonoscopy. The primary variables were patient race and insurance type, and an interaction by rurality was tested. Results: Of the 392,285 patients included in the analysis, 81% saw a specialist for their colonoscopy. County of residence explained 30% of the variability in the outcome. Non-Hispanic black (OR=0.65; confidence interval [95% CI]: 0.64-0.67) and Hispanic patients (OR=0.75; 95% CI: 0.67-0.84) were significantly less likely than non-Hispanic white patients to see a specialist. Compared with commercial/HMO insurance, all other types were less likely to see a specialist, and even more so for rural patients. The interaction of race by rurality was not significant. Conclusions: Specialists play a key role in CRC screening and can affect later downstream outcomes. This study has shown that ethnic minorities and adults with public or other insurance, particularly in rural areas, are most likely not to see a specialist. These results are consistent with disparities in CRC incidence, mortality, and survival.

Regional variation in lung and bronchus cancer survival in the US using mortality-to-incidence ratios.

Despite major achievements aimed at reducing smoking over the last 50 years in the U.S., lung cancer remains the leading cause of cancer death. This study used mortality-to-incidence rate ratios (MIR) calculated from 2008 to 2012 National Cancer Institute data to highlight state-level variations in relative lung and bronchus cancer survival. In an ad hoc sensitivity analysis, we calculated a correlation between our state-level MIRs and five-year 1-survival rates for states reporting incident lung and bronchus cancer cases (2004-2008) to the Surveillance, Epidemiology, and End Results (SEER) Program database. Differences were observed in state lung and bronchus cancer MIRs, with the highest MIR values (poor relative survival) in southern states and the lowest MIRs primarily in northeastern states. In our sensitivity analysis, state-level MIRs were highly correlated with 1-survival rates. Examining regional variation in survival using MIRs can be a useful tool for identifying areas of health disparities and conducting surveillance activities.