Census Division Research Articles

Sociodemographic Factors Associated with the Utilization of Digital Health Technologies Among Informal Caregivers: A Nationwide Study in the USA, 2022.

Informal caregivers can leverage digital health technologies to support their own health while also assisting patients, particularly those with mental or physical challenges. This study investigated the sociodemographic factors associated with the use of digital health technology among informal caregivers. Data from the 2022 Health Information National Trends Survey (HINTS) were examined for this cross-sectional study. The survey identified key outcomes related to the use of online medical records, health apps, digital wearable health devices, and the digital sharing of health information with professionals, on social media, or with others facing similar health issues. Sociodemographic factors (gender, race/ethnicity, feelings of one's household income, education, and census division) were also analyzed. Weighted multivariable logistic regression models were employed. A total of 831 individuals were included, representing about 36,960,385 national informal caregivers in 2022. Caregivers with a high school education or less (vs. those with at least some college education) and non-Hispanic Black caregivers (vs. non-Hispanic White caregivers) were significantly less likely to be offered access to online medical records by their healthcare providers. Additionally, online medical record usage was lower among caregivers with high school education or less, but higher among caregivers aged 50-64 (vs. those aged 35-49). Caregivers with a high school education or less were less likely to use health apps and digital wearable health devices, but more likely to share personal health information on social media. Men caregivers, those aged 50-64 and over 65 (vs. the 35-49 age group), and caregivers who were dissatisfied with their income were less likely to use digital wearable health devices. The findings underscore disparities in the utilization of caregivers' digital health technology, particularly in digital wearable health devices. Recognizing and addressing these disparities are crucial for tailoring interventions to enhance equitable access to digital health technology among diverse informal caregiver populations.

Multilevel Sexual Minority Stigma-Based Experiences and Mental Health Among U.S. Sexual Minority Adults: A Socio-Ecological Longitudinal Moderated Mediation Analysis

Abstract Background The current study aimed to longitudinally examine whether intrapersonal stigma (i.e., internalized stigma; identity concealment) mediates the associations between interpersonal stigma (i.e., adulthood and childhood victimization; everyday discrimination; perceived external stigma) and mental health outcomes among sexual minority adults, and as a function of two moderators: structural climate and generation. Methods Data from 600 sexual minorities across three generations (i.e., ages 18-25, 34-42, 48-55) who completed all three waves of the 2016-2019 Generations Study were merged with census division data on legal climate (2016 Human Rights Campaign State Equality Index). A series of three-wave time-lagged simplex moderated mediation models were estimated for each independent and dependent variable combination through two parallel mediators, with both moderators included on each independent-mediator variable pathway. Results Greater identity concealment partially explained the effects of perceived external stigma on greater psychological distress and suicidal ideation, but most strongly among older generations. Other mediation was not supported. Reversed sensitivity analyses revealed how identity concealment’s positive effect on suicidal ideation may be suppressed through lower adulthood victimization and, only among younger generations in higher stigma climates, how it’s positive effects on psychological distress and suicidal ideation may be suppressed through lower everyday discrimination. Conclusions Identity concealment may represent a salient mechanism through which sexual minorities navigate structural climates and the harmful effects of interpersonal stigma on distress and suicidal ideation. While the longitudinal findings provide some support for the cross-level effects of sexual minority stigma on mental health outcomes, further advanced time-lagged examinations are warranted.

Epidemiological Study of Adenoid Cystic Carcinoma and Its Outcomes: Insights from the Surveillance, Epidemiology, and End Results (SEER) Database

Objective: Adenoid cystic carcinoma (ACC) is a rare malignant tumor that mainly arises in the head and neck area. We aimed to compare the long-term survival of patients with ACC based on their geographic regions within the United States using the Surveillance, Epidemiology, and End Results (SEER) registry data. Methods: We queried the SEER database to evaluate the geographic distribution of ACC patients based on inpatient admissions. The states included in the study were divided into four geographical regions (Midwest, Northeast, South, and West) based on the U.S. Census Bureau-designated regions and divisions. Demographic and clinical variables were compared between the groups. Kaplan–Meier curves and Cox regression were used to assess late mortality. Results: A total of 5150 patients were included (4.2% from the Midwest, 17.2% from the Northeast, 22.5% from the South, and 56.1% from the West regions). The median follow-up was 12.3 (95% CI: 11.6–13.1 years). Median overall survival was 11.0 (95% CI: 9.2-NR years), 14.3 (95% CI: 12.4–16.4 years), 11.3 (95% CI: 9.7–14.8 years), and 12.0 (95% CI: 11.3–13.0 years) for Midwest, Northeast, South, and West regions, respectively. In multivariable analysis, older age, male sex, thoracic cancer, the presence of regional and distal disease, receiving chemotherapy, not undergoing surgical resection, and being treated in the West vs. Northeast region were found to be independent predictors of poor survival. We identified a significant survival difference between the different regions, with the West exhibiting the worst survival compared to the Northeast region. Conclusions: In addition to the well-known predictors of late mortality in ACC (tumor location, stage, and treatment modalities), our study identified a lack of social support (being unmarried) and geographic location (West region) as independent predictors of late mortality in multivariable analysis. Further research is needed to explore the causal relationships.

Racial, Ethnic, and Regional Disparities of Post-Acute Service Utilization After Stroke in the United States.

Post-acute care is critical for patient functional recovery and successful community transition. This study aimed to understand the current racial, ethnic, and regional disparities in post-acute service utilization after stroke. This retrospective cross-sectional study included patients hospitalized for ischemic stroke and intracerebral hemorrhage in 2017-2018 using the National Inpatient Sample. Discharge destinations were classified as follows: (1) facility including inpatient rehabilitation, skilled nursing facility, and facility hospice; (2) home health care (HHC), including home health and home hospice; and (3) home without HHC. Multinomial logistic regression was used to study the odds of discharge to a facility over home and HHC over home without HHC by race, ethnicity, insurance, and census division, adjusting for clinical factors and survey design. Among the 1,000,980 weighted ischemic stroke admissions, 66.9% were White, 17.6% Black, 9.5% Hispanic, 3.1% Asian American/Pacific Islander, and 0.4% Native American. Relative to private insurance, uninsured patients had the lowest adjusted odds of facility over home discharge (0.44; 95% CI 0.40-0.48) and HHC discharge over home without HHC (0.79; 95% CI 0.71-0.88). Compared with White patients, only Hispanic patients with Medicare/Medicaid insurance or self-pay had lower odds of facility over home discharge (adjusted OR 0.80 and 0.75, respectively; 95% CI 0.76-0.84 and 0.63-0.93). Uninsured Hispanic patients also had lower odds of HHC discharge over home without HHC than White patients (0.74; 95% CI 0.57-0.97). Facility discharge rate was the highest in East North Central (39.2%) and lowest in Pacific (31.2%). HHC discharge rate was the highest in New England (20.2%) and lowest in West North Central (10.3%), which had the highest home without HHC discharge (46.1%). Compared with New England, other census divisions had lower odds of facility over any home discharge with Pacific being the lowest (adjusted OR, 0.66; 95% CI 0.60-0.71) and HHC over home without HHC discharge with West North Central being the lowest (adjusted OR, 0.33; 95% CI 0.29-0.38). Similar patterns were observed in intracerebral hemorrhage. Significant insurance-dependent racial and ethnic disparities and regional variations were evident in post-acute service utilization after stroke. Targeted efforts are needed to improve post-acute service access for uninsured patients especially Hispanic patients and people in certain regions.

Fentanyl, Heroin, Methamphetamine, and Cocaine Analyte Concentrations in Urine Drug Testing Specimens

The US is experiencing a protracted drug overdose crisis primarily associated with exposure to illicitly manufactured fentanyl (IMF), methamphetamine, and cocaine. Overdose risk and treatment responses may be directly affected by absolute drug exposure concentrations and drug use prevalence. To quantify changes in absolute drug exposure concentrations from 2013 to 2023. This cross-sectional study analyzed urine drug testing (UDT) results from urine specimens collected between January 1, 2013, and August 22, 2023, in 49 states and the District of Columbia. Urine specimens were obtained from patients aged 18 years or older who presented to substance use disorder treatment clinics. The UDT was ordered by clinicians based on medical necessity. Urine specimens were analyzed for the following drugs or metabolites (analytes tested in parentheses): fentanyl (fentanyl), heroin (6-monoacetylmorphine), cocaine (benzoylecgonine), and methamphetamine (methamphetamine) using liquid chromatography with tandem mass spectrometry. Relative concentrations of fentanyl, heroin, cocaine, and methamphetamine. Creatinine-normalized drug concentration values were log-transformed prior to visualization and statistical analyses. The Mann-Kendall trend test was performed to examine trends over time. To estimate the geospatial and temporal patterns of drug concentration, a second series of models (1 for each drug) with an interaction effect for clinic location and collection year were fit. A total of 921 931 unique UDT samples were collected from patients (549 042 males [59.6%]; median [IQR] age, 34 [27-44] years). The adjusted fentanyl concentration in urine specimens was 38.23 (95% CI, 35.93-40.67) ng/mg creatinine in 2023 and 4.61 (95% CI, 3.59-5.91) ng/mg creatinine in 2013. The adjusted methamphetamine concentration was 3461.59 (95% CI, 3271.88-3662.30) ng/mg creatinine in 2023 and 665.27 (95% CI, 608.51-727.32) ng/mg creatinine in 2013. The adjusted cocaine concentration was 1122.23 (95% CI, 1032.41-1219.87) ng/mg creatinine in 2023 and 559.71 (95% CI, 524.69-597.06) ng/mg creatinine in 2013. The adjusted heroin concentration was 58.36 (95% CI, 48.26-70.58) ng/mg creatinine in 2023 and 146.59 (95% CI, 136.06-157.92) ng/mg creatinine in 2013. Drug concentrations varied across US Census divisions. This cross-sectional study found that absolute concentrations of fentanyl, methamphetamine, and cocaine in urine specimens increased from 2013 to 2023, with a decrease in heroin concentration during that period. The findings suggest that exposure to these substances, as well as the illicit drug supply, has fundamentally changed in many parts of the US, highlighting the need to reinforce surveillance initiatives and accelerate efforts to treat individuals with IMF and/or stimulant exposure.

Abstract A015: Small area-estimation for low mammography screening: Geographic and racial disparities in mammography screening, 2015 – 2022

Abstract Background: Mammography screening is associated with at least a 20% reduction in breast cancer mortality. However, there are racial/ethnic differences in breast cancer mortality. For example, non-Hispanic Black (NHB) women are significantly more likely to die of breast cancer than non-Hispanic White (NHW) women. Few studies have reported small-area estimates for mammography screening among the entire US population; differences by race were either not examined or resulted in mixed findings. The American Cancer Society (ACS) and the United States Preventive Services Taskforce (USPSTF) recommend regular mammography screening from age 40 through 74 years. The current study aims to identify areas of up-to-date mammography screening and to elucidate whether mammography screening varied by geographical location, race, or ethnicity. Methods: Mammography screening within the past 12 months was retrieved from the 2015-2022 Behavioral Risk Factor Surveillance System data. The study population consisted of adult women aged 40 and older residing within the United States. 2020 US census tract population estimates were used to generate gender (all women), race/ethnicity (NHB, NHW, non-Hispanic Asian, and Hispanic/Latina), income, and age group weights for each US census tract. Synthetic estimates of mammography screening uptake at the census tract were conducted using our novel PARIS model (Probability of mammography screening within the past year, given age, race/ethnicity, income, and state) using a multilevel logistic regression model. Regional differences in mammography screening by US Census Bureau regions and divisions were examined. Results: Up-to-date mammography among all women in the sample was 55.98% (SD = 2.07; F (3, 72429) = 2886.81, p < .0001). Mammography screening examined by race indicated the greatest screening rates among non-Hispanic Black women (M = 60.78, SD = 3.11) and least among Asian women (M = 48.68, SD = 3.15). Among four US Census Bureau regions, the West region had the lowest rates of mammography screening among women (M = 54.74, SD = 1.85) while the South region had the highest rates (M = 56.55, SD = 2.18; F(3, 72429) = 2886.81, p < .0001). After further parsing geographical units, the West Pacific region, among the 9 US Census Bureau divisions, had the lowest mammography screening (M = 54.53, SD = 1.81) while the East South Central division had the highest rates of mammography screening (M = 56.94, SD = 2.10; F(8, 72429) = 1360.60, p < .0001).Conclusion: Using novel geospatial methods, the current study elucidated significant differences in mammography screening by race and place. These results suggest that Black women and women living in the South have higher up-to-date mammography screening compared to other women. Thus, the existing inequities in breast cancer outcomes may be explained by differences in the cancer care continuum (delays in follow-up care, treatment, and breast cancer survival). Further examination of the interplay between screening uptake, late-stage diagnosis, and death is needed. Citation Format: Sydney P. Howard, Justin X. Moore, Elinita Pollard, Ryan Johnson, Lovoria Williams, Adebola Adegboyega, Jie Chen, Jorge Cortes, Aimee James. Small area-estimation for low mammography screening: Geographic and racial disparities in mammography screening, 2015 – 2022 [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 A015.

Income inequality and comorbid overweight/obesity and depression among a large sample of Canadian secondary school students: The mediator effect of social cohesion

BackgroundComorbid overweight/obesity (OWO) and depression is emerging as a public health problem among adolescents. Income inequality is a structural determinant of health that independently increases the risk for both OWO and depression among youth. However, no study has examined the association between income inequality and comorbid OWO and depression or tested potential mechanisms involved. We aimed to identify the association between income inequality and comorbid OWO and depression and to test whether social cohesion mediates this relationship. MethodsWe used data from the 2018–2019 Cannabis, Obesity, Mental health, Physical activity, Alcohol, Smoking and Sedentary behavior (COMPASS) project. Our sample was composed of 46,171 adolescents from 136 schools distributed in 43 census divisions in 4 provinces in Canada (Ontario, Alberta, British Columbia, and Quebec). Gender-stratified multilevel path analyses models were used to examine whether income inequality (Gini coefficient) was associated with comorbid OWO and depression and whether the association was mediated by school connectedness, a proxy measure for social cohesion. ResultsThe direct effect between income inequality and OWO-depression comorbidity was not significant. However, income inequality was significantly associated with increased risk of comorbidity via social cohesion. One standard deviation increase in the Gini coefficient was associated with a 9% and 8% increase in the odds of comorbidity in females (OR=1.09; 95% CI=1.03, 1.16) and males (OR=1.08; 95% CI=1.03, 1.13). ConclusionPolicies aimed at reducing income inequality, and interventions to improve social cohesion, may contribute to reducing the risk of OWO-depression comorbidity among adolescents.

Excess Death Rates by State During the COVID-19 Pandemic: United States, 2020‒2023.

Objectives. To estimate state-level excess death rates during 2020 to 2023 and examine differences by region and partisan orientation. Methods. We modeled death and population counts from the Centers for Disease Control and Prevention to estimate excess death rates for the United States, 9 census divisions, and 50 states. We compared excess death rates for states with different partisan orientations, measured by the party of the seated governor and the level of partisan representation in state legislatures. Results. The United States experienced 1 277 697 excess deaths between March 2020 and July 2023. Almost 90% of these deaths were attributed to COVID-19, and 51.5% occurred after vaccines were available. The highest excess death rates first occurred in the Northeast and then shifted to the South and Mountain states. Between weeks ending June 20, 2020, through March 19, 2022, excess death rates were higher in states with Republican governors and greater Republican representation in state legislatures. Conclusions. Excess death rates during the COVID-19 pandemic varied considerably across the US states and were associated with partisan representation in state government, although the influence of confounding variables cannot be excluded. (Am J Public Health. 2024;114(9):882-891. https://doi.org/10.2105/AJPH.2024.307731).

Geographic Patterns of Human Immunodeficiency Virus (HIV) Risk Behaviors Among Older Adults: A Strategy for Identifying Space as a Risk Exposure.

This study examined geographical patterns of HIV risk among adults aged 60 and older. The 2019 Behavioral Risk Factor Surveillance System (BRFSS) weighted data was used to analyze self-reported participation in HIV risk behaviors among older adults (n = 62,852). Logistic regression models were used on a dichotomous HIV risk variable to map the distribution of HIV risk behaviors across both census regions and divisions. The weighted model revealed significance across regions. Across all regions, identifying as female, identifying as Hispanic, and reporting not having depression were protective from participating in HIV risk behaviors. The geographic heterogeneity in patterns of high-risk behaviors among older adults are discussed, along with the implications of partner access (marital status) and emotional health (depression) that need further examination. Recommendations for additional geographic analysis are made.

Impact of Location of Residence and Distance to Cancer Centre on Medical Oncology Consultation and Neoadjuvant Chemotherapy for Triple-Negative and HER2-Positive Breast Cancer.

Despite consensus guidelines, most patients with early-stage triple-negative (TN) and HER2-positive (HER2+) breast cancer do not see a medical oncologist prior to surgery and do not receive neoadjuvant chemotherapy (NAC). To understand barriers to care, we aimed to characterize the relationship between geography (region of residence and cancer centre proximity) and receipt of a pre-treatment medical oncology consultation and NAC for patients with TN and HER2+ breast cancer. Using linked administrative datasets in Ontario, Canada, we performed a retrospective population-based analysis of women diagnosed with stage I-III TN or HER2+ breast cancer from 2012 to 2020. The outcomes were a pre-treatment medical oncology consultation and the initiation of NAC. We created choropleth maps to assess the distribution of the outcomes and cancer centres across census divisions. To assess the relationship between distance to the nearest cancer centre and outcomes, we performed multivariable regression analyses adjusted for relevant factors, including tumour extent and nodal status. Of 14,647 patients, 29.9% received a pre-treatment medical oncology consultation and 77.7% received NAC. Mapping demonstrated high interregional variability, ranging across census divisions from 12.5% to 64.3% for medical oncology consultation and from 8.8% to 64.3% for NAC. In the full cohort, compared to a distance of ≤5 km from the nearest cancer centre, only 10-25 km was significantly associated with lower odds of NAC (OR 0.83, 95% CI 0.70-0.99). Greater distances were not associated with pre-treatment medical oncology consultation. The interregional variability in medical oncology consultation and NAC for patients with TN and HER2+ breast cancer suggests that regional and/or provider practice patterns underlie discrepancies in the referral for and receipt of NAC. These findings can inform interventions to improve equitable access to NAC for eligible patients.

The nonlinear impacts of macroeconomic shocks on the US regional housing markets

ABSTRACT This paper examines the asymmetrical impacts of aggregate macroeconomic shocks on the US regional housing markets by estimating nonlinear Vector Autoregressive models. We show how aggregate output, monetary, inflation, and credit shocks result in heterogenous impulse responses of the housing market volatilities across growing and declining housing market regimes in nine census divisions and 19 metropolitan cities. We find that output and inflation shocks cause qualitatively asymmetrical responses across regimes in majority of regions. A positive output shock and a negative inflation shock reduce (increase) housing price uncertainties when housing markets are in a declining (booming) regime in most regions. The responses of regional housing price volatilities to monetary and credit shocks are quantitatively asymmetrical across regimes in most regions. We also find that aggregate shocks have larger contributions on changing the probabilities of regime switching when a regional housing market is initially expanding than declining. Among aggregate shocks, inflation shock has the most prominent contributions across most regions. It also presents the strongest asymmetrical effects across positive and negative shocks. Our results can help regional decision makers utilize fiscal policies, regulatory measures, and regional planning to mitigate the destabilizing effects of macroeconomic shocks on regional housing markets.

Centre-Specific Variation in Atrial Fibrillation Ablation-Treatment Rates in a Universal Single-Payer Healthcare System

BackgroundDisparities in atrial fibrillation ablation rates have been studied previously, with a focus on either patient characteristics or systems factors, rather than geographic factors. The impact of electrophysiology (EP) centre practice patterns on ablation rates has not been well studied. MethodsThis population-based cohort study used linked administrative datasets covering physician billing codes, hospitalizations, prescriptions, and census data. The study population consisted of patients who visited an emergency department with a new diagnosis of atrial fibrillation, in the period 2007-2016, in Ontario, Canada. Patient characteristics, including age, sex, medical history, comorbidities, socioeconomic factors, closest EP centre within 20 km, and distance to the nearest centre, were used as predictors in multivariable logistic regression models to assess the relationship between living in a location around specific EP centres and ablation rates. ResultsThe cohort included 134,820 patients, of whom 9267 had an ablation treatment during the study period. Patients undergoing ablation treatment were younger, had a lower Congestive Heart Failure, Hypertension, Age, Diabetes, Stroke/Transient Ischemic Attack (CHADS2) score, lived closer to EP centres, and had fewer comorbidities than those who did not receive ablation treatment. Wide variation occurred in ablation rates, with adjacent census divisions having ablation rates up to 2.6 times higher. Multivariate regression revealed significant differences in ablation rates for patients who lived in a location around certain EP centres. The odds ratios for living in a location closest to specific centres ranged from 0.78 (95% confidence interval: 0.68-0.89) to 1.60 (95% confidence interval:1.34-1.90). ConclusionsLiving near specific EP centres may significantly affect a patient’s likelihood of receiving ablation treatment, regardless of factors such as age, gender, socioeconomic status, prior medical history, and distance to EP centres.

Cutaneous Melanoma Mortality-to-Incidence Ratio and Its Association With Socioeconomic and Healthcare Factors in Canada: A National Ecological Study.

The mortality-to-incidence ratio (MIR) can be used to approximate healthcare inequities and is helpful to understand/compare cancer survival between geographic regions/jurisdictions. We investigated cutaneous melanoma (CM) outcomes through MIR analysis in Canadian jurisdictions and census divisions (CDs) between 1992 and 2016. Data were obtained from the national databases from 1992 to 2016 for all Canadian jurisdictions, except Quebec. Age-standardized overall and median MIRs were calculated per province per year, while crude MIRs were calculated for CDs. Generalized linear regression models were conducted to study the effect of province and year on MIR, while a mixed effect regression model was used to determine how healthcare and socioeconomic factors affect MIR, while accounting for possible clustering effects (eg, year and province). We identified 106,015 CM cases and 20,570 CM deaths between 1992 and 2016. National MIR from 1992 to 2016 demonstrated a significant linear decrease (P value < .0001). The national median MIR was 15.4 (ie, 0.154 × 100), whereby Manitoba (19.9), Ontario (19.5), Saskatchewan (18.5), British Columbia (16.1), and Newfoundland and Labrador (15.9) demonstrated higher MIRs than the Canadian average. CDs with the highest MIRs were commonly identified in the southern regions of provinces. No healthcare or socioeconomic factors were found to be significantly associated with higher MIR at the provincial level. MIRs have decreased at the national and provincial levels in recent decades, which is reassuring. Higher MIRs were noted in select rural CDs and in the Canadian territories, reinforcing the importance of proper dermatological care in all parts of the country.

Expanding the opioid use disorder medication treatment workforce in rural communities through the RCORP initiative.

The Rural Communities Opioid Response Program (RCORP) was funded to help rural communities improve prevention, treatment, and recovery services for Opioid Use Disorder (OUD), including increasing the supply of clinicians with a Drug Enforcement Administration (DEA) waiver to prescribe buprenorphine, which was required before 2023. This research investigates the impact of RCORP funding on the supply of DEA-waivered clinicians in rural communities. We used 2017-2022 DEA lists of waivered clinicians to assign clinicians to US counties. Using RCORP service area data, we classified rural counties as either being served by an RCORP grantee or not. We calculated the number of counties in each category with a waivered clinician, clinician-to-population ratios, and treatment slot-to-population ratios. In 2017, 3.7% more of RCORP funded counties had a waivered clinician than non-RCORP counties. RCORP counties also had 1.2 more waivered clinicians per 100,000 population and 57.5 more treatment slots per 100,000 population compared to non-RCORP counties. From 2017 to 2022, these differences more than doubled. The supply of waivered clinicians varied across Census Divisions. In most Census Divisions, a greater percentage of RCORP counties had a waivered clinician as well as more waivered clinicians and treatment slots per population, except for the Pacific Census Division, which had more clinicians and treatment slots per population in non-RCORP counties. Study findings suggest that federal investments to expand rural OUD patients' access to care may have been successful, but only if increases in clinician supply translate into greater provision of OUD treatment.

Geographic distance to Commission on Cancer-accredited and nonaccredited hospitals in the United States.

The Commission on Cancer (CoC) establishes standards to support multidisciplinary, comprehensive cancer care. CoC-accredited cancer programs diagnose and/or treat 73% of patients in the United States. However, rural patients may experience diminished access to CoC-accredited cancer programs. Our study evaluated distance to hospitals by CoC accreditation status, rurality, and Census Division. All US hospitals were identified from public-use Homeland Infrastructure Foundation-Level Data, then merged with CoC-accreditation data. Rural-Urban Continuum Codes (RUCC) were used to categorize counties as metro (RUCC 1-3), large rural (RUCC 4-6), or small rural (RUCC 7-9). Distance from each county centroid to the nearest CoC and non-CoC hospital was calculated using the Great Circle Distance method in ArcGIS. Of 1,382 CoC-accredited hospitals, 89% were in metro counties. Small rural counties contained a total of 30 CoC and 794 non-CoC hospitals. CoC hospitals were located 4.0, 10.1, and 11.5 times farther away than non-CoC hospitals for residents of metro, large rural, and small rural counties, respectively, while the average distance to non-CoC hospitals was similar across groups (9.4-13.6 miles). Distance to CoC-accredited facilities was greatest west of the Mississippi River, in particular the Mountain Division (99.2 miles). Despite similar proximity to non-CoC hospitals across groups, CoC hospitals are located farther from large and small rural counties than metro counties, suggesting rural patients have diminished access to multidisciplinary, comprehensive cancer care afforded by CoC-accredited hospitals. Addressing distance-based access barriers to high-quality, comprehensive cancer treatment in rural US communities will require a multisectoral approach.

Extended-Spectrum Beta-Lactamase Producing Enterobacterales Infections in the United States, 2012-2021

Background: The 2022 Special Report: COVID-19 U.S. Impact on Antimicrobial Resistance identified continued increases in the rate of extended- spectrum beta-lactamase producing (ESBL) infections in the United States from 2017 through 2020. Using similar data sources and methodology, we examined the trends of species-specific ESBL infections from 2012-2021. Methods: We identified a cohort of patients from the PINC AI and BD Research Insights databases with a clinical culture yielding a Klebsiella pneumoniae or Escherichia coli isolate with accompanying susceptibility testing. E. coli or K. pneumoniae isolates non-susceptible to ceftriaxone, cefotaxime, ceftazidime, or cefepime were considered suggestive of ESBL production. Isolates from patients with no culture yielding the same resistance phenotype of interest in the previous 14 days were counted as an incident case. Community-onset (CO) cultures were obtained ≤ day 3 of hospitalization; hospital-onset (HO) cultures were obtained ≥ day 4. We used a raking procedure to determine weights for extrapolating the number of discharges included in our sample to match the distribution of discharges, stratified by bed size, U.S. census division, urban/rural designation, and teaching status, for U.S. hospitals included in the American Hospital Association survey. We evaluated rates over time due to the changes in number of hospitalizations during the COVID-19 pandemic. Results were stratified by HO and CO, and sterile and non-sterile specimen sources. Results: In 2021, there were 48,936 ESBL K. pneumoniae and 153,112 ESBL E. coli infections among approximately 32 million discharges. Overall, most infections were CO and from non-sterile specimens. From 2012-2021, the rate of ESBL K. pneumoniae increased from 9.54 to 15.28 per 10,000 discharges. ESBL E. coli infections increased from 2012-2020 (30.18 to 51.32 per 10,000 discharges), then declined in 2021 (47.81 per 10,000 discharges) (Table 1, Figure 1). The proportion of non-sterile ESBL E. coli declined from 88% in 2012 to 83% in 2021, and the proportion of non-sterile ESBL K. pneumoniae was 85-87% over the study period (Figure 2). Conclusion: ESBL E. coli and K. pneumoniae infections increased from 2012-2021, although the CO ESBL E. coli rate decreased between 2020 and 2021. Understanding changes in culturing practices over time may provide insights into the increased proportion of ESBL E. coli from sterile sites. Additionally, further investigation into differences in organism trends, particularly in 2021, may inform prevention strategies.

Spatiotemporal epidemiology of substance-related accidental acute toxicity deaths in Canada from 2016 to 2017

ObjectivesIn Canada, substance-related accidental acute toxicity deaths (AATDs) continue to rise at the national and sub-national levels. However, it is unknown if, where, when, and to what degree AATDs cluster in space, time, and space–time across the country. The objectives of this study were to 1) assess for clusters of AATDs that occurred in Canada during 2016 and 2017 at the national and provincial/territorial (P/T) levels, and 2) examine the substance types detected in AATD cases within each cluster.MethodsTwo years of person-level data on AATDs were abstracted from coroner and medical examiner files using a standardized data collection tool, including the decedent's postal code and municipality information on the places of residence, acute toxicity (AT) event, and death, and the substances detected in the death. Data were combined with Canadian census information to create choropleth maps depicting AATD rates by census division. Spatial scan statistics were used to build Poisson models to identify clusters of high rates (p < 0.05) of AATDs at the national and P/T levels in space, time, and space–time over the study period. AATD cases within clusters were further examined for substance types most present in each cluster.ResultsEight clusters in five regions of Canada at the national level and 24 clusters in 15 regions at the P/T level were identified, highlighting where AATDs occurred at far higher rates than the rest of the country. The risk ratios of identified clusters ranged from 1.28 to 9.62. Substances detected in clusters varied by region and time, however, opioids, stimulants, and alcohol were typically the most commonly detected substances within clusters.ConclusionOur findings are the first in Canada to reveal the geographic disparities in AATDs at national and P/T levels using spatial scan statistics. Rates associated with substance types within each cluster highlight which substance types were most detected in the identified regions. Findings may be used to guide intervention/program planning and provide a picture of the 2016 and 2017 context that can be used for comparisons of the geographic distribution of AATDs and substances with different time periods.

Racial and gender disparities in utilization of outpatient total shoulder arthroplasties

Utilization in outpatient total shoulder arthroplasties (TSAs) has increased significantly in recent years. It remains largely unknown whether utilization of outpatient TSA differs across gender and racial groups. This study aimed to quantify racial and gender disparities both nationally and by geographic regions. 168,504 TSAs were identified using Medicare fee-for-service inpatient and outpatient claims data and beneficiary enrollment data from 2020 to 2022Q4. The percentage of outpatient cases, defined as cases discharged on the same day of surgery, was evaluated by racial and gender groups and by different census divisions. A multivariate logistics regression model controlling for patient sociodemographic information (White vs. non-White race, age, gender, and dual eligibility for both Medicare and Medicaid), hierarchical condition category (HCC) score, hospital characteristics, year fixed effects, and patient residency state fixed effects was performed. The TSA volume per 1000 beneficiaries was 2.3 for the White population compared with 0.8, 0.6, and 0.3 for the Black, Hispanic, and Asian population, respectively. A higher percentage of outpatient TSAs were in White patients (25.6%) compared with Black patients (20.4%) (P<.001). The Black TSA patients were also younger, more likely to be female, more likely to be dually eligible for Medicaid, and had higher HCC risk scores. After controlling for patient sociodemographic characteristics and hospital characteristics, the odds of receiving outpatient TSAs were 30% less for Black than the White group (odds ratio 0.70). Variations were observed across different census divisions, with South Atlantic (0.67, P<.01), East North Central (0.56, P<.001), and Middle Atlantic (0.36, P<.01) being the 4 regions observed with significant racial disparities. Statistically significant gender disparities were also found nationally and across regions, with an overall odds ratio of 0.75 (P<.001). Statistically significant racial and gender disparities were found nationally in outpatient TSAs, with Black patients having 30% (P<.001) fewer odds of receiving outpatient TSAs than White patients, and female patients with 25% (P<.001) fewer odds than male patients. Racial and gender disparities continue to be an issue for shoulder arthroplasties after the adoption of outpatient TSAs.

Impact of frailty on hospitalized patients with prostate cancer: A retrospective analysis.

e23054 Background: The impact of Hospital frailty risk score on outcomes in hospitalized patients with prostate cancer has not been previously studied. This research aimed to examine the association between frailty and prostate cancer outcomes. Methods: This retrospective study utilized hospitalization data from the National Inpatient Sample (NIS) between January 1, 2020, and December 31, 2020. Data of patients with a primary or secondary discharge diagnosis of prostate cancer (ICD10-CM codes C61.0, D07.5, and Z85.46) were obtained. The objective was to evaluate the correlation between frailty and prostate cancer. Multivariate analysis was performed, stratified by race, age, Charlson index, median annual income in the patient's zip code, hospital bed size, teaching status, and census division of the hospital. Results: A total of 51,980 hospitalizations for prostate cancer were identified, with 72.7% in the intermediate to high frailty score (IHFS) group and 27.3% in the low frailty score (LFS) group. The IHFS group had a higher unadjusted in-hospital mortality rate than the LFS group (5.85% vs. 1.2%). Patients with IHFS had increased odds of adjusted mortality compared to those with LFS (adjusted odds ratio [aOR] = 4.45, 95% Cl [3.80-5.22], P &lt; 0.01). Hispanic and Black race patients also had increased odds of adjusted mortality compared to Caucasian race patients (aOR = 1.42, 95%CI [1.19-1.70], P &lt; 0.01); aOR = 1.16, 95%CI [1.00-1.32], P = 0.037, respectively). Additionally, the IHFS group had longer lengths of stay (5.65 ± 0.038 vs. 3.26 ± 0.28 days) and higher adjusted total costs ($66,107 ± 850 vs. $64,308 ± 1066) compared to the LFS group. Conclusions: Patients with prostate cancer and a high hospital frailty risk score exhibited significantly higher mortality rates, longer lengths of stay, and increased total adjusted costs. Frailty assessment plays a crucial role in predicting outcomes in patients with prostate cancer. Physicians can use frailty assessment to stratify patients based on risk and improve their ability to anticipate consequences.

Exploring the association between income inequality and sleep in Canadian adolescents: A path analysis approach

ObjectivesAn estimated 30% of Canadian adolescents do not get the recommended 8-10hours of sleep. No prior study has examined the role of income inequality, the gap between rich and poor within a society, in adolescent sleep. The aim of this study is to examine the association between income inequality and sleep duration among Canadian adolescents, how this association differs by gender, and whether depressive symptoms, anxiety, and social cohesion mediate this relationship. MethodsMultilevel path models were conducted using cross-sectional survey data from 74,501 adolescents who participated in the Cannabis, Obesity, Mental health, Physical activity, Alcohol use, Smoking, and Sedentary behavior (COMPASS) study in 2018-2019. Income inequality was measured at the census division level and sleep duration, gender, depressive symptoms, anxiety, and social cohesion were measured at the individual level. ResultsA 1% increase in income inequality was associated with a 3.67-minute decrease in sleep duration (95% CI=−5.64 to −1.70). The cross-level interactions between income inequality and gender were significant, suggesting that income inequality has more adverse associations with sleep among females than males. Both depressive symptoms and anxiety were significant mediators, wherein greater income inequality was associated with higher levels of depressive symptoms and anxiety, which were in turn, associated with a shorter sleep duration. ConclusionInterventions that reduce income inequality may prevent depressive symptoms and anxiety and improve sleep in adolescents. Reducing societal income gaps may improve adolescent sleep especially in those attending school in high income inequality areas, females, and those experiencing depressive symptoms and anxiety.