County-level Characteristics Research Articles

Racial and ethnic disparities in the uptake of SGLT2is and GLP-1RAs among Medicare beneficiaries with type 2 diabetes and heart failure, atherosclerotic cardiovascular disease and chronic kidney disease, 2013-2019.

The aim of this study was to investigate racial and ethnic disparities in the use of sodium-glucose cotransporter 2 inhibitors (SGLT2is) and glucagon-like peptide-1 receptor antagonists (GLP-1RAs) among older adults with type 2 diabetes and cardiorenal conditions. Using Medicare fee-for-service data (2013-2019), this retrospective cohort study identified older adults (≥65 years) with type 2 diabetes initiating second-line therapies (SGLT2is, GLP1-RAs, dipeptidyl peptidase-4 inhibitors [DPP4is] and sulfonylureas [SUs]) with (1) heart failure (HF), (2) atherosclerotic cardiovascular disease (ASCVD), (3) chronic kidney disease (CKD) and (4) no recorded cardiorenal conditions. Participants were classified as non-Hispanic White, non-Hispanic Black and Hispanic. Multinomial regressions, adjusting for sociodemographic, clinical and county-level characteristics, were used to model the odds of initiating SGLT2is or GLP-1RAs within each cohort. Black participants with HF, ASCVD, CKD or no recorded cardiorenal conditions had 35% (adjusted OR 0.65 [95% CI 0.61, 0.68]), 33% (0.67 [0.64, 0.69]), 32% (0.68 [0.64, 0.72]) and 24% (0.76 [0.74, 0.79]) lower odds of initiating SGLT2is, respectively, than White participants. Disparities ameliorated from 50-60% lower odds in 2013 to 17-18% in 2019. Similar patterns were observed for GLP-1RA uptake among Black participants. By contrast, Hispanic participants had similar odds of SGLT2i initiation in the HF and CKD cohorts as White participants, but 6% (0.94 [0.91, 0.98]) lower odds in the ASCVD cohort. Notable disparities for Hispanic participants compared with White participants were observed for GLP-1RA uptake in the HF, ASCVD, CKD and no cardiorenal conditions cohorts: 11% (0.89 [0.84, 0.94]), 16% (0.84 [0.81, 0.87]), 16% (0.84 [0.80, 0.89]) and 25% (0.75 [0.72, 0.78]) lower odds, respectively. Participants had greater odds than White participants of initiating DPP4is, which confer no cardiorenal benefits, across all cohorts (HF 1.25 [1.19, 1.31]; ASCVD 1.36 [1.32, 1.40]; CKD 1.32 [1.26, 1.38). Adjustment for social determinants of health did not meaningfully change the study findings. Compared with White participants, disparities in the uptake of SGLT2is were evident for Black participants, and in the uptake of GLP-1RAs for both Black and Hispanic participants. This study highlights how type 2 diabetes management is evolving, while underscoring historical imbalances that have shown signs of abatement.

Recovery From COVID-19–Related Disruptions in Cancer Detection

The COVID-19 pandemic impacted the timely diagnosis of cancer, which persisted as the second leading cause of death in the US throughout the pandemic. To evaluate the disruption and potential recovery in cancer detection during the first (2020) and second (2021) years of the COVID-19 pandemic. This cross-sectional study involved an epidemiologic analysis of nationally representative, population-based cancer incidence data from the Surveillance, Epidemiology, and End Results (SEER) Program. Included patients were diagnosed with incident cancer from January 1, 2000, through December 31, 2021. The analysis was conducted in May 2024 using the April 2024 SEER data release, which includes incidence data through December 31, 2021. Diagnosis of cancer during the first 2 years of the COVID-19 pandemic (2020, 2021). Difference between the expected and observed cancer incidence in 2020 compared with 2021, with additional analyses by demographic subgroups (sex, race and ethnicity, and age group) and community (county-level) characteristics. The analysis included 15 831 912 patients diagnosed with invasive cancer between 2000 and 2021, including 759 810 patients in 2020 and 825 645 in 2021. The median age was 65 years (IQR, 56-75 years), and 51.0% were male. The percentage difference between the expected and observed cancer incidence was -8.6% (95% CI, -9.1% to -8.1%) in 2020, with no significant difference in 2021 (-0.2%; 95% CI, -0.7% to 0.4%). These translated to a cumulative (2020-2021) deficit in observed vs expected cases of -127 931 (95% CI, -139 206 to -116 655). Subgroup analyses revealed that incidence rates remained substantially depressed from expected rates into 2021 for patients living in the most rural counties (-4.9%; 95% CI, -6.7% to -3.1%). The cancer sites with the largest cumulative deficit in observed vs expected cases included lung and bronchus (-24 940 cases; 95% CI, -28 936 to -20 944 cases), prostate (-14 104 cases; 95% CI, -27 472 to -736 cases), and melanoma (-10 274 cases; 95% CI, -12 825 to -7724 cases). This cross-sectional study of nationally representative registry data found that cancer incidence recovered meaningfully in 2021 following substantial disruptions in 2020. However, incidence rates need to recover further to address the substantial number of patients with undiagnosed cancer during the pandemic.

Risk Factors for Developing Community-Acquired Hand Infections at a Large-Volume Urban Safety Net Hospital.

Hand infections represent a significant burden for both health care systems and their patients. Epidemiological understanding of community-acquired hand infections is limited. This study examined a cohort of hand infection patients at a large urban safety net hospital for characteristics that were associated with protective and/or risk factors for hand infections. We performed a retrospective chart review for all patients who required hand surgery consultation in the emergency department during a 1-year period (2021-2022). County-level population characteristics were obtained through the county-level data sources. We then performed a risk ratio (RR) analysis for demographic and socioeconomic characteristics. A total of 125 patients were included in the study cohort. Cisgender male (RR, 4.654; P < 0.001), Black (RR, 6.062; P < 0.001) and American Indian/Alaska Native (RR, 3.293; P = 0.041) patients were found to be overrepresented in our cohort when compared to county proportions, indicating an association with increased risk of hand infections. Patients between 35 and 49 years of age were also found to have an increased risk (RR, 1.679; P = 0.005). Age over 65 years, retirement, and employment were found to be protective factors (RR, 0.341 [P = 0.001]; RR, 0.397 [P = 0.043]; RR, 0.197 [P < 0.001]). In contrast, unemployment and unstable housing (unhoused or shelter) were found to have strong harmful risk for necessitating hand infection consults (RR, 7.587 [P < 0.001]; RR, 235.715 [P < 0.001]; RR, 29.990 [P < 0.001]). There are clear risk factors at play for hand infection incidence. We found that housing status, employment, race, gender, and age were some of the most important contributors for incidence. This information can assist clinicians and public officials in developing more specific screening algorithms and prevention tools to reduce systematic burden. Further studies are required to elucidate specific etiologies associated with hand infection risk.

Abstract A104: EpiTracker Cancer: A new webtool to visualize disparities in cancer death rates across demographics and county-level characteristics

Abstract There are known disparities in cancer death rates in the U.S. by demographic, geographic and socioeconomic factors. While there are several widely available webtools to visualize U.S. cancer death rates, none allow for direct comparison of cancer death rates across county-level measures of social determinants of health. The National Cancer Institute has developed a new webtool, EpiTracker Cancer (https://episphere.github.io/epitracker), to allow for customizable visualization of cancer death rates across geography, demographics and county-level characteristics. Cancer death data and decedent race (i.e., American Indian and Alaska Native, Asian, Black, Native Hawaiian and Pacific Islander, White), ethnicity (Hispanic, non-Hispanic), sex, age and county of residence were ascertained from the National Center for Health Statistics (NCHS) death certificate data for 2018-2022. Counts and rates based on &amp;lt;10 deaths are suppressed per NCHS policy. Population data were abstracted from the U.S. Census. County-level characteristics were derived from multiple sources, and include metrics of socioeconomic status (e.g., median income, proportion with a college degree), health status (e.g., proportion who smoke, proportion who are obese), and healthcare access and utilization (e.g., proportion uninsured, proportion of women who have had a mammogram). EpiTracker Cancer is comprised of three main pages, each featuring a different type of visualization. The first page displays bar charts of age-standardized or crude death rates by cancer type, sex, race, ethnicity and age group. The second displays maps of cancer death rates at the county, state and national level. Users can generate national, state and county-level maps for each cause of cancer death that can be compared by race, ethnicity and sex, and can control how outlying rates are handled. The final visualization plots cancer death rates across quartiles, quintiles or deciles of county- level characteristics. The user can choose to display rate ratios comparing to either the highest or lowest quantile of the county-level metric. As an example, a user could visualize the association between county-level education, measured by the fraction of adults with at least some college education, and lung cancer mortality. Compared to counties in the highest quintile of educational attainment, those in the lowest quintile have lung cancer age-adjusted death rates that are 1.77- times (95%CI 1.72-1.82) higher among men and 1.56-times (95%CI 1.51-1.61) higher in women. Future iterations will include more county-level variables, death rates over time and additional visualizations, as well as user suggested improvements and innovations. Citation Format: Meredith Shiels, Lee Mason, Jonas Almeida, Sahar Behpour, Neal Freedman, Peter Kraft, Wayne Lawrence. EpiTracker Cancer: A new webtool to visualize disparities in cancer death rates across demographics and county-level characteristics [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A104.

50808 Dermatology Physician Supply by County-Level Characteristics, 2010-2020

50808 Dermatology Physician Supply by County-Level Characteristics, 2010-2020

Prenatal Care Utilization and Birth Outcomes After Expansion of the National Health Service Corps.

The National Health Service Corps (NHSC) attracts clinicians to Health Professional Shortage Areas (HPSAs) through scholarships and loan repayments. Since 2009, the NHSC workforce, including maternity care clinicians, has substantially expanded. This study evaluates the association between NHSC expansion and prenatal care and birth outcomes. In this quasi-experimental study, we adopted a generalized difference-in-differences design to compare changes in prenatal care and birth outcomes from 2005 to 2019 using birth certificate data. Counties designated as HPSAs without any NHSC maternity care clinicians throughout the study period were control counties, and those without such clinicians before 2009 but receiving them after 2009 were treated counties. Outcome measures include a count variable of number of prenatal visits and four dichotomous variables: prenatal care initiation in the first trimester, adequacy of prenatal care, preterm birth, and low birth weight. We estimated negative binomial models for number of prenatal visits and linear probability models for the dichotomous outcomes, adjusting for maternal characteristics, non-NHSC clinician density, and state-level policies. Stratified analyses were also conducted on the basis of birthing people's demographics and county-level characteristics. Our sample comprised 12,980,111 live births between 2005 and 2019 by individuals residing in 1,254 HPSA counties without any NHSC maternity care clinicians before 2009, including 222 counties that received such clinicians after 2009. Compared with control counties, pregnant people in treated counties experienced significant increases in prenatal visits (211 more prenatal visits relative to baseline of 11,226 visits per 1,000 births, P<.001) and in the likelihood of receiving adequate prenatal care (1.43 percentage point increase relative to baseline of 67.0 percentage points, P<.01). Although the NHSC expansion improved prenatal care use for all racial and ethnic groups, pregnant people residing in urban and high social vulnerability areas benefited most. Improvements in birth outcomes were observed only among certain subgroups such as a 0.91 percentage point reduction in preterm birth (relative to baseline of 12.6 percentage points, P<.001) and a 0.87 percentage point reduction in low birth weight (relative to baseline of 8.2 percentage points, P<.05) among pregnant people living in full-county HPSAs. The NHSC expansion since 2009 was associated with increases in prenatal care utilization, particularly among vulnerable populations. Although improvements were not observed in birth outcomes overall with NHSC expansion, modest reductions were observed in preterm birth and low birth weight in subsets of the population.

Five-Year Relative Survival Rates of Women Diagnosed with Uterine Cancer by County-Level Socioeconomic Status Overall and across Histology and Race/Ethnicity.

Understanding socioeconomic factors contributing to uterine cancer survival disparities is crucial, especially given the increasing incidence of uterine cancer, which disproportionately impacts racial/ethnic groups. We investigated the impact of county-level socioeconomic factors on five-year survival rates of uterine cancer overall and by histology across race/ethnicity. We included 333,013 women aged ≥ 30 years with microscopically confirmed uterine cancers (2000-2018) from the Surveillance, Epidemiology, and End Results 22 database followed through 2019. Age-standardized five-year relative survival rates were compared within race/ethnicity and histology, examining the differences across tertiles of county-level percent (%) <high-school education, %<150 percent poverty, %unemployment, median household income, and %urbanicity. Overall age-adjusted five-year relative survival was 77.7%. Rates were lowest among those residing in the least advantaged counties (tertile 3) and highest among the most advantaged (tertile 1): education (74.7% vs. 80.2%), poverty (72.9% vs. 79.8%), unemployment (75.7% vs. 80.5%), and income (73.3% tertile 1 vs. 78.1% tertile 3). Impact of county-level socioeconomic characteristics on survival across histology was minimal. We observed considerable survival disparities among NH-Black and NH-Native American/Alaskan Native women, regardless of tumor and socioeconomic characteristics. These findings add to our understanding of how county-level socioeconomic characteristics affect uterine cancer survival inequalities among racial/ethnic groups.

Geographic variability of Medicaid acceptance among allergists in the US.

To determine the geographic variability of Medicaid acceptance among allergists in the US. Geospatial analysis predicted Medicaid acceptance across space, and a multivariable regression identified area-level population demographic variables associated with acceptance. We used the National Plan & Provider Enumeration System database to identify allergists. Medicaid acceptance was determined from lists or search engines from state Medicaid offices and calls to provider offices. Spatial analysis was performed using the empirical Bayesian kriging tool. Multivariate logistic regression was used to identify county-level characteristics associated with provider Medicaid acceptance. Of 5694 allergists, 55.5% accepted Medicaid. Acceptance in each state ranged from 13% to 90%. Washington, Arizona, and the Northeast had lowest predicted proportion of both Medicaid acceptance and Medicaid acceptance per 10,000 enrollees. Overall, county-level characteristics were not associated with the likelihood of accepting Medicaid in multivariate analyses. Only the percentage of individuals living in poverty was associated with a higher likelihood of providers accepting Medicaid (OR, 1.245; 95% CI, 1.156-1.340; P < .001). A barrier to accessing allergy-related health care is finding a provider who accepts a patient's insurance, which is largely variable by state. Lack of access to allergy care likely affects health outcomes for children with prevalent atopic conditions such as food allergy.

The Availability of Midwifery Care in Rural United States Communities.

Access to pregnancy-related and childbirth-related health care for rural residents is limited by health workforce shortages in the United States. Although midwives are key pregnancy and childbirth care providers, the current landscape of the rural midwifery workforce is not well understood. The goal of this analysis was to describe the availability of local midwifery care in rural US communities. We developed and conducted a national survey of rural US hospitals with current or recently closed childbirth services. Maternity unit managers or administrators at 292 rural hospitals were surveyed from March to August 2021, with 133 hospitals responding (response rate 46%; 93 currently offering childbirth services, 40 recently closed childbirth services). This cross-sectional analysis describes whether rural hospitals with current or prior childbirth services had midwifery care with certified nurse-midwives available locally and whether rural communities with and without midwifery care differed by hospital-level and county-level characteristics. Among hospitals surveyed, 55% of those with current and 75% of those with prior childbirth services reported no locally available midwifery care. Of the 93 rural communities with current hospital-based childbirth services, those without midwifery care were more likely to have lower populations (37% vs 33%); majority populations that were Black, Indigenous, and people of color (24% vs 10%); and hospitals where at least 50% of births were Medicaid funded (77% vs 64%), compared with communities with midwifery care. Conversely, communities with midwifery care more often had greater than 30% of patients traveling more than 30 miles for hospital-based childbirth services (38% vs 28%). More than half of rural hospitals surveyed reported no locally available midwifery care, and availability differed by hospital-level and county-level characteristics. Efforts to ensure pregnancy and childbirth care access for rural birthing people should include attention to the availability of local midwifery care.

The impact of regional disparities on the availability of meningococcal vaccines in the US

BackgroundIn the United States (US), three types of vaccines are available to prevent invasive meningococcal disease (IMD), a severe and potentially fatal infection: quadrivalent conjugate vaccines against serogroups A, C, W, Y (MenACWY), and monovalent vaccines against serogroup B (MenB) as well as a newly licensed pentavalent vaccine (MenABCWY) protecting against serogroup A, B, C, W, and Y. The CDC’s Advisory Committee on Immunization Practices (ACIP) routinely recommends MenACWY vaccine for all 11- to 12-year-olds with a booster dose at 16 years. MenB vaccination is recommended based on shared clinical decision-making (SCDM) for 16- to 23-year-olds. Recently, the pentavalent meningococcal vaccine (MenABCWY) was recommended by the ACIP. Meningococcal vaccine uptake is suboptimal across the country, particularly among individuals with lower socioeconomic status (SES), despite these recommendations. The objective of the spatial analyses was to assess the relationship between stocking of MenACWY and MenB vaccines, area-level SES, and state-level policies.MethodsThe number of MenACWY and MenB doses stocked by vaccinators was obtained from IQVIA and the CDC’s Vaccine for Children (VFC) program and compiled into a county-level dataset from 2016 to 2019. SES, as measured using the CDC’s Social Vulnerability Index (SVI), state-level school recommendations, and universal purchasing programs were among the main county-level covariates included to control for factors likely influencing stocking. Data were stratified by public and private market. Bayesian spatial regression models were developed to quantify the variations in rates of stocking and the relative rates of stocking of both vaccines.ResultsAfter accounting for county-level characteristics, lower SES counties tended to have fewer doses of MenB relative to MenACWY on both public and private markets. Lower SES counties tended to have more supply of public vs. private doses. Universal purchasing programs had a strong effect on the markets for both vaccines shifting nearly all doses to the public market. School vaccination strategy was key for improving stocking rates.ConclusionsOverall, the results show that MenACWY has greater stock relative to MenB across the US. This difference is exacerbated in vulnerable areas without school entry requirements for vaccination and results in inequity of vaccine availability. Beyond state-level policy and SES differences, SCDM recommendations may be a contributing factor, although this was not directly assessed by our model.

The Association of Broadband Internet Use With Drug Overdose Mortality Rates in the United States: Cross-Sectional Analysis.

The availability and use of broadband internet play an increasingly important role in health care and public health. This study examined the associations between broadband internet availability and use with drug overdose deaths in the United States. We linked 2019 county-level drug overdose death data in restricted-access multiple causes of death files from the National Vital Statistics System at the US Centers for Disease Control and Prevention with the 2019 county-level broadband internet rollout data from the Federal Communications Commission and the 2019 county-level broadband usage data available from Microsoft's Airband Initiative. Cross-sectional analysis was performed with the fixed-effects regression method to assess the association of broadband internet availability and usage with opioid overdose deaths. Our model also controlled for county-level socioeconomic characteristics and county-level health policy variables. Overall, a 1% increase in broadband internet use was linked with a 1.2% increase in overall drug overdose deaths. No significant association was observed for broadband internet availability. Although similar positive associations were found for both male and female populations, the association varied across different age subgroups. The positive association on overall drug overdose deaths was the greatest among Hispanic and Non-Hispanic White populations. Broadband internet use was positively associated with increased drug overdose deaths among the overall US population and some subpopulations, even after controlling for broadband availability, sociodemographic characteristics, unemployment, and median household income.

Unveiling rural and Appalachian disparities in cigarette smoking through the social vulnerability index and other county-level characteristics.

Mitigating tobacco-related disparities in the Appalachian region and rural areas is crucial. This study seeks to gauge cigarette smoking prevalence in Virginia counties, uncover rurality and Appalachian-linked disparities, and explore local drivers of these gaps. A 2011-2019 Virginia BRFSS data were used to estimate county-level cigarette smoking rates in adults aged 18 or older. Counties were categorized as urban/rural and Appalachian/non-Appalachian, with a focus on rural-Appalachian. Disparities in cigarette smoking rates and associated factors were analyzed via the Blinder-Oaxaca decomposition method. The study assessed 4 dimensions of the Centers for Disease Control and Prevention's social vulnerability index (SVI): socioeconomic, minority status, household composition, and housing. Additionally, county-specific factors such as tobacco agriculture, physician availability, coal mining, and tobacco retailer density were examined. Rural areas exhibited a 6.18% higher cigarette smoking prevalence compared to urban areas (P<.001). SVI dimensions accounted for 53.2% of the disparity, county features explained 16.4%, and 30.4% remained unexplained. Appalachian areas had a 6.79% higher cigarette smoking prevalence than non-Appalachian areas (P<.001). SVI dimensions explained 51.4% of the disparity, county features accounted for 21.8%, leaving 26.8% unexplained. Rural-Appalachian areas showed a 7.8% higher cigarette smoking prevalence (P<.001). SVI dimensions contributed to 51.7% of the disparity, county features explained 9.6%, and 38.7% remained unexplained. Substantial disparities in cigarette smoking prevalence exist in underserved areas of Virginia, including rural, Appalachian, and rural-Appalachian regions. While SVI dimensions, physician availability, tobacco agriculture, and coal mining contribute, yet notable gaps remain unexplained. Targeted interventions must tackle unique challenges in disadvantaged areas to reduce smoking and promote health equity.

Dermatology Physician Supply by County-Level Characteristics, 2010–2020

Dermatology Physician Supply by County-Level Characteristics, 2010–2020

Reporting of Child Maltreatment During the COVID-19 Pandemic in a Southern State in the United States.

COVID-19-related stay-at-home orders (SAHOs) created an immediate physical barrier between children and professionals such as pediatricians and teachers, who are often first to identify and report signs of child maltreatment. Our objective was to determine how the SAHO in a southern state was associated with reports of child maltreatment and whether this association was modified by sociodemographic characteristics. We linked data on reports of child maltreatment from a southern state in the United States from October 1, 2018, through September 30, 2020, to data from the US Census Bureau to obtain data on county-level socioeconomic characteristics. We fit a segmented regression model to evaluate changes in reports before and after the SAHO, March 20, 2020. We evaluated potential disparities by child age, case and allegation severity, and socioeconomic characteristics. Of 374 885 hotline calls, 276 878 (73.9%) were made before the SAHO and 98 007 (26.1%) after it. Although an immediate decrease in reports of child maltreatment occurred on the day of the SAHO, the rates of reporting within socioeconomic groups started increasing thereafter. While we found no significant change in the overall rate of change in hotline calls after versus before the SAHO (0.23; 95% CI, -0.11 to 0.58), stratified analyses indicate that the rates at which reporting increased varied by education level, health insurance coverage, median annual household income, and unemployment. Evaluating these trends is important for policy makers and practitioners to understand how policies enforced during the pandemic influence child maltreatment reporting and how these policies may affect reporting differently across socioeconomic groups.

County-level industrial composition of the labor force and drug overdose mortality rates in the United States in 2018-2021.

Drug mortality risks vary among industries, creating distinctive geographic patterns across US counties. However, less is known about how local labor market structure relates to drug overdose mortality amid the synthetic opioid era in the United States. This study investigates the relationship between industry-specific job composition and drug overdose mortality at the county level while exploring how fentanyl's presence in illicit drug supplies may moderate the relationship. Data were derived from the National Center for Health Statistics' Multiple Cause of Death files for the rates of drug overdose mortality of any intent, linked with four other sources on industry-specific job shares, drug supply, and county-level sociodemographic characteristics and opioid prescribing rates from the US Census Bureau, the CDC, and the Drug Enforcement Administration. Negative binomial regression models were employed to examine associations between county industry-specific job composition and drug overdose mortality, with tests for moderating effects of state-level fentanyl seizure rates. Our models indicate negative associations between job shares of manufacturing, retail trade, and educational services industries and drug overdose mortality. Positive associations were found for arts/entertainment/recreation and public administration. State-level fentanyl seizure rates had moderating effects on administrative/support/waste management/remediation (A/S/WM/R) and educational services. Counties with a higher concentration of arts/entertainment/recreation and public administration jobs need targeted efforts to mitigate drug-related overdose risks. Additionally, areas with higher concentrations of A/S/WM/R service jobs, particularly where fentanyl seizure rates are higher, may require proactive harm reduction strategies for reducing overdose risks.

Opioid and other drug use and drug-related mortality as indicators of Hepatitis C and Human Immunodeficiency Virus in Oklahoma

Objectives Outbreaks of injection drug use (IDU)-associated infections have become major public health concerns in the era of the opioid epidemic. This study aimed to (1) identify county-level characteristics associated with acute HCV infection and newly diagnosed IDU-associated HIV in Oklahoma and (2) develop a vulnerability index using these metrics. Methods This study employs a county-level ecological design to examine those diagnosed with acute or chronic HCV or newly diagnosed IDU-associated HIV. Poisson regression was used to estimate the association between indicators and the number of new infections in each county. Primary outcomes were acute HCV and newly diagnosed IDU-associated HIV. A sensitivity analysis included all HCV (acute and chronic) cases. Three models were run using variations of these outcomes. Stepwise backward Poisson regression predicted new infection rates and 95% confidence intervals for each county from the final multivariable model, which served as the metric for vulnerability scores. Results Predictors for HIV-IDU cases and acute HCV cases differed. The percentage of the county population aged 18–24 years with less than a high school education and population density were predictive of new HIV-IDU cases, whereas the percentage of the population that was male, white, Pacific Islander, two or more races, and people aged 18–24 years with less than a high school education were predictors of acute HCV infection. Counties with the highest predicted rates of HIV-IDU tended to be located in central Oklahoma and have higher population density than the counties with the highest predicted rates of acute HCV infection. Conclusions There is high variability in county-level factors predictive of new IDU-associated HIV infection and acute HCV infection, suggesting that different public health interventions need to be tailored to these two case populations.

Why location matters: associations between county-level characteristics and availability of National Cancer Oncology Research Program and National Cancer Institute sites.

The majority of patients with cancer seek care at community oncology sites; however, most clinical trials are available at National Cancer Institute (NCI)-designated sites. Although the NCI National Cancer Oncology Research Program (NCORP) was designed to address this problem, little is known about the county-level characteristics of NCORP site locations. This cross-sectional analysis determined the association between availability of NCORP or NCI sites and county-level characteristic theme percentile scores from the Center for Disease Control and Prevention's Social Vulnerability Index themes. Health Resources and Services Administration's Area Health Resource Files were used to determine contiguous counties. We estimated risk ratios and 95% confidence intervals (CIs) using modified Poisson regression models to evaluate the association between county-level characteristics and site availability within singular and singular and contiguous counties. Of 3141 included counties, 14% had an NCORP, 2% had an NCI, and 1% had both sites. Among singular counties, for a standard deviation increase in the racial and ethnic theme score, there was a 22% higher likelihood of NCORP site availability (95% CI = 1.10 to 1.36); for a standard deviation increase in the socioeconomic status theme score, there was a 24% lower likelihood of NCORP site availability (95% CI = 0.67 to 0.87). Associations were of smaller magnitude when including contiguous counties. NCI sites were located in more vulnerable counties. NCORP sites were more often in racially diverse counties and less often in socioeconomically vulnerable counties. Research is needed to understand how clinical trial representation will increase if NCORP sites strategically increase their locations in more vulnerable counties.

Nowhere to Launch? County-Level Correlates of Home-Leaving and Home-Returning

Coresidence with parents is now the most common living arrangement among young adults (ages 18–29) in the United States. For many, coresidence comes after first leaving home and living in an independent household. Recent shifts in these residential transitions has spurred renewed research in this area, with a focus on contemporaneous young adult characteristics, individual well-being, and the family context. Largely overlooked in this research is a consideration of the geographic context where young adults make home-leaving and home-returning decisions. Drawing on residential mobility theory and research that emphasizes features of local housing and labor markets, the present study explores if county-level characteristics are associated with the likelihood of either leaving or returning to the parental home. Using data from the 1997 cohort of the National Longitudinal Survey of Youth, results indicate that youth are less likely to leave home, and more likely to return to it, if they live in areas with higher rental costs. Housing market characteristics also appear to be more important for home-leaving and home-returning for youth who stay in the same county, as opposed to launching to different counties. Findings thus demonstrate that contextual features should be emphasized alongside individual and family features as pathways to independent living.

Extreme Weather Disruptions and Emergency Preparedness Among Older Adults in Ohio: An Eight-County Assessment

The disproportionate risks and impacts of climate change and extreme weather on older adults are increasingly evident. While especially true in disaster-prone areas, human-caused climate change introduces an element of uncertainty even in previously identified “safe” regions such as the Midwestern United States. Using a cumulative disadvantage and vulnerability-informed framework and descriptive statistics from multiple data sources, this article provides an overview of climate impacts, vulnerabilities, and county-level characteristics, focusing on older adults living in Central Ohio. A comparative multiple-case study methodology was used to triangulate regionally representative primary and secondary data sources to examine state and county-level measures of vulnerability, emergency preparedness, and disruptions caused by extreme weather among older adults across eight counties in Central Ohio. Seventy-eight percent of older adults in the sample reported being prepared for emergencies per Federal Emergency Management Agency guidelines. Older adults in Union County reported the highest rates of preparedness, while those in Fayette County reported the lowest. County-level rates of disruption of life activities by extreme weather ranged widely. Among the most rural in the region, Fayette County emerged as uniquely disadvantaged, with the lowest median income, the most vulnerable across multiple social vulnerability dimensions, and the most reported disruptions to life activities from extreme weather. County profiles offer a snapshot of existing vulnerabilities, socioeconomic conditions, special needs, preparedness, and current disruptions among older adults in the region and can inform resource mobilization across community and policy contexts.

County-Level Cardiac Rehabilitation and Broadband Availability: Opportunities for Hybrid Care in the United States.

Cardiac rehabilitation (CR) improves patient outcomes and quality of life and can be provided virtually through hybrid CR. However, little is known about CR availability in conjunction with broadband access, a requirement for hybrid CR. This study examined the intersection of CR and broadband availability at the county level, nationwide. Data were gathered and analyzed in 2022 from the 2019 American Community Survey, the Centers for Medicare & Medicaid Services, and the Federal Communications Commission. Spatially adaptive floating catchments were used to calculate county-level percent CR availability among Medicare fee-for-service beneficiaries. Counties were categorized: by CR availability, whether lowest (ie, CR deserts), medium, or highest; and by broadband availability, whether CR deserts with majority-available broadband, or dual deserts. Results were stratified by state. County-level characteristics were examined for statistical significance by CR availability category. Almost half of US adults (n = 116 325 976, 47.2%) lived in CR desert counties (1691 counties). Among adults in CR desert counties, 96.8% were in CR deserts with majority-available broadband (112 626 906). By state, the percentage of the adult population living in CR desert counties ranged from 3.2% (New Hampshire) to 100% (Hawaii and Washington, DC). Statistically significant differences in county CR availability existed by race/ethnicity, education, and income. Almost half of US adults live in CR deserts. Given that up to 97% of adults living in CR deserts may have broadband access, implementation of hybrid CR programs that include a telehealth component could expand CR availability to as many as 113 million US adults.