Census Bureau Research Articles

Economic Insecurity during the COVID-19 Pandemic among Healthcare Workers by Educational Attainment

Abstract Prior to the COVID-19 pandemic, healthcare workers with less formal education (e.g., nursing assistants, home care aides) versus more formal education (e.g., physicians, nurses) were more likely to experience economic insecurity, the real and/or perceived risk of financial losses. Given the unprecedented impact of COVID-19 on healthcare workers, we sought to describe economic insecurity among these workers during the pandemic. Using data from the U.S. Census Bureau’s Household Pulse Survey from July 2021 to July 2023, we examined economic insecurity among healthcare workers by educational attainment. Higher proportions of healthcare workers with an associate degree or below reported difficulty paying usual expenses, food insufficiency, and being behind on rent/mortgage payments compared to healthcare workers with a bachelor’s degree or higher. Accounting for other sociodemographic characteristics, higher educational attainment was associated with significantly lower odds of economic insecurity. Since the public health emergency has ended and temporary policies to support low wage workers during the pandemic have sunsetted, targeted policies to promote economic security among financially vulnerable low wage workers are critical to enable recruitment and retention of these essential healthcare workers.

BN SO34 - Outcomes in giant versus non-giant hiatus hernia repair: Same payment different operative burden

Abstract Background Hospital trust payment for operative procedures often rely on coding systems like the NHS's Office of Population Censuses and Surveys (OPCS) codes, which determine reimbursement rates. Both giant hiatus hernia (GHH) and non-giant hiatus hernia (NGHH) repairs often share the same code, as in our trust. This results in equal reimbursement to trusts for procedures with higher operative burden and resource needs. This study aims to assess differences in the patient population, their hiatal type, operative challenges and post-operative outcomes between GHH and NGHH repairs. Method All patients undergoing primary hiatus hernia surgery between March 2019 to March 2024 at a single institution were included. Retrospective review of electronic records were utilised to record: patient demographics, hernia type, operative details, length of stay (LOS), post-operative course and need for a return to theatre (RTT). Outcomes were comparison of surgical approach, use of mesh and gastropexy (as proxy measures to indicate difficulty of operation), 30-day morbidity measured using Clavien-Dindo (CD) grading and 30-day mortality and RTT. Analysis was undertaken using un-paired t-test and Chi2. A p-value of <0.05 was considered statistically significant. Results Table 1. Patients GHH NGHH p n 91 135 Age (average) 69 (±10) 52 (±16) <0.001 Female (%) 66.7 55.2 0.1100 BMI 30.8 (±5.4) 30.7 (±7.8) 0.2029 ASA grade (average) 2.2 1.9 <0.001 Hernia Types (median) 3 1 <0.001 Table 2. Operative details GHH NGHH p Open (%) 6.6 0 0.0020 Laparoscopic (%) 60.4 62.24 0.9840 Robotic (%) 33 33.3 0.9239 Mesh used (%) 8.8 0.7 <0.041 Gastropexy (%) 12 0.7 <0.001 Table 3. Outcomes GHH NGHH p LOS (median) 2 (0-161) 1 (0-8) 0.0179 RTT (%) 10.7 8 0.4747 30-day morbidity (CD≥3, %) 4.8 4.4 0.6519 30-day mortality 0 0 NA Conclusion This study highlights significant differences between giant hiatus hernia (GHH) and non-giant hiatus hernia (NGHH) repairs. GHH repairs have an increased likelihood of undergoing open procedures, use of mesh, and gastropexy, reflecting their greater complexity. GHH patients are older, have higher ASA grades, and present with more advanced hernia types compared to NGHH patients. Additionally, GHH repairs result in longer hospital stays. The findings underscore the need for improved coding accuracy to reflect these disparities accurately in patient demographics, operative strategies, and recovery outcomes within hospital trusts, ensuring appropriate resource allocation and reimbursement based on procedural complexity.

Heterogeneous Associations Between Pandemic-Induced Socioeconomic Hardships and COVID-19 Vaccine Uptake by Sexual Orientation and Gender Identity: A Nationally Representative Analysis in the United States

Background/Objectives: Socioeconomic hardship during the COVID-19 pandemic was associated with lower vaccine uptake. Since the pandemic has exacerbated socioeconomic challenges faced by sexual and gender minority populations, including employment income loss, housing instability, food insufficiency, and household expense difficulty, this study investigated the disparities in COVID-19 vaccine uptake among these populations. Methods: Using the U.S. Census Bureau Household Pulse Survey, a nationally representative sample of 1,767,966 individuals (6% gay or lesbian, 4.2% bisexual, 1.6% something else, and 90.6% heterosexual respondents), we quantified the COVID-19 vaccine uptakes among sexual and gender minorities, as well as the effect measure modifications by socioeconomic hardships. Results: Despite higher vaccine uptake rates among sexual and gender minorities compared to their heterosexual counterparts, socioeconomic hardships triggered by the pandemic among these populations were associated with decreased vaccine uptake. Importantly, the effect measure modifications by socioeconomic hardships were more pronounced among sexual and gender minority status compared to heterosexual individuals. Conclusions: These results highlight the critical need to address socioeconomic hardships among sexual and gender minorities to enhance vaccine uptake, along with the pre-existing and exacerbated social and economic disadvantages during the COVID-19 pandemic.

Abstract 4140149: Differences in Interventional Treatment Outcomes of Peripheral Arterial Disease between African American Females, African American Males, and Caucasian Females

Introduction: Several recent publications demonstrated worse outcomes of interventional treatment of peripheral arterial disease (PAD) in patients of African American (AA) descent compared to Caucasians (C), and in female patients compared to male patients. However, studies addressing sex differences in outcomes, included predominantly white female patients. To our knowledge, there are no published studies specifically addressing outcomes of interventional treatment of PAD in female patients of African American descent. Aims: 1. To determine if the outcomes of interventional treatment of PAD in female patients of African American (FAA) descent differ from male African American patients (MAA), and Caucasian female patients (FC). If such differences exist, to identify factors associated with it. Methods: This study has a cross-sectional design with systematically retrospective data collection by the National Vascular Quality Initiative. Included in this study was data on patients treated with endovascular and open surgical options for symptomatic PAD. Statistical analysis was done using IBM Statistic SPSS V25. Results: 447,263 unique cases containing required data were available in the VQI database. Among them, 171,250 were female patients, of which 32,966 were FAA, 126,519 FC, and 39,461 MAA. This race and gender distribution is not significantly different from the US population structure (US Census Bureau 2023). 1 However, female to male ratio was higher in AA (0.83) compared to C (0.58, p<0.0001). FAA were younger (65.143+/-9.59) compared to FC (69.16+/-10.32, P<0.00001). Comparison of comorbidities, smoking rates, pre-interventional medications and post-interventional outcomes are listed in Table 1. Multivariate analysis confirmed higher amputation rate among FAA compared to FC and to MAA and showed no significant difference in mortality. Conclusions: FAA patients who require interventional treatment for PAD have significantly higher rate of hypertension and diabetes compared to FC and MAA patients and have higher amputation rates. It appears that differences in clinical outcomes of PAD treatment in FAA are related mostly if not entirely to poorly managed comorbidities existed prior to intervention.

Abstract 4130622: Neonatal Outcomes of Hypertensive Women Across US Races: 2016-2022

Background: Maternal hypertension, a major pregnancy complication, can adversely affect newborn health. We aim to evaluate the racial and ethnic disparities in neonatal outcomes among hypertensive pregnant women in the United States. Methods: Using data from the CDC WONDER Natality database, we conducted a retrospective cohort study focusing on live births to hypertensive mothers from 2016 to 2022. Neonatal outcomes, including NICU admissions, low birth weight, infant mortality, and assisted ventilation, were analyzed by calculating rates [95% CIs] per 1000 live births across maternal racial/ethnic groups and the US Census Bureau's regional classification: Northeast, Midwest, South, and West. Results: We analyzed 2,336,679 live births to hypertensive women (23% pre-pregnancy; 77% gestational). This cohort comprised: 0.2% infants born to Native Hawaiian/other Pacific Islander women (NH/PI), 0.9% to American Indian/Alaska Native women (AI/AN), 3.8% to Asian American women (AA), 19.6% to Hispanic/Latino women (H/L), 20.0% to Black/African American women (BA), and 55.4% to White American women (WA). Infant mortality rates were highest in BA (3.6 [3.5, 3.8]), followed by AA (2.1 [1.8, 2.4]), AI/AN (2.1 [1.6, 2.7]), H/L (1.9 [1.8, 2.0]), NH/PI (1.9 [1.0, 3.3]), and lowest in WA (1.5 [1.4, 1.6]). Similarly, NICU admission rates were highest in BA (217.2 [216.1, 218.4]) and lowest in WA (156 [155.4, 156.6]). Assisted ventilation rates were highest in NH/PI (131.8 [123.4, 140.7]) and lowest in AA (87.8 [86.0, 89.7]). Low birth weight rates were highest in BA (235.1 [233.9, 236.3]) and lowest in WA (121.8 [121.2, 122.4]). The Midwest had the highest rates for NICU admissions in NH/PI (254.2 [217.2, 295.2]), assisted ventilation in AI/AN (143.8 [133.2, 155.1]), and mortality in BA (4.1 [3.7, 4.5]). The South had the highest rate of low birth weight for BA (244.4 [242.9, 246.0]). Conclusion: Significant racial and regional disparities exist in neonatal outcomes among hypertensive women in the US. BA mothers consistently experienced the poorest outcomes, while WA mothers had the best. Further research is crucial to understand the reasons behind these disparities and develop targeted interventions for high-risk populations.

Abstract 4136636: Analysis of Racial Disparities in the Training Path to Cardiology: Trends from 2012 to 2022

Introduction: Substantial evidence indicates that racial and ethnic diversity among the physician workforce bridges cultural gaps and improves patient care. Trends in racial diversity across the full training pipeline from undergraduate to practicing cardiologist are not yet well-characterized. Aims: We analyze racial disparities at each stage of training towards becoming a practicing cardiologist, and identify changes in these disparities between 2012 and 2022. Methods: We conducted a retrospective analysis of data specifying the racial composition of medical trainees acquired from the Association of American Medical Colleges, Accreditation Council for Graduate Medical Education, and Electronic Residency Application Service. Population data was acquired from the US Census Bureau. We computed the representation quotient (RQ) for each racial group at each stage to compare representation among the trainees or physicians to age-matched segments of the US population. Results: RQ decreases from undergraduate to active cardiologist for African Americans (0.719 to 0.314), Hispanics (0.660 to 0.359), American Indians (0.551 to 0.221), and Native Hawaiians (1.121 to 0.512). The lowest RQs of 0.133 and 0.137 were observed for American Indian active internal medicine residents and cardiology fellows, respectively. Racial disparities in medical education declined between 2012 and 2022, with RQs increasing from 0.541 to 0.735 for African American medical school matriculants and from 0.444 to 0.578 for Hispanic medical school matriculants. Similar increases were seen in the active cardiologist population for African Americans (2013 RQ: 0.227, 2022 RQ: 0.342) and Hispanics (2013 RQ: 0.283, 2022 RQ: 0.375). Conclusion: While racial diversity in the cardiology training pipeline has increased over the last decade, significant disparities persist for under-represented minorities. Addressing these barriers will help achieve a cardiology workforce reflective of the diverse population it serves.

Forecasting Electric Vehicle Adoption in the USA Using Machine Learning Models

Electric vehicles (Electric Vehicles) are at the vanguard of the global dispensation to sustainable transportation, depicting a pivotal step toward diminishing greenhouse gas emissions and reliance on fossil fuels. Notwithstanding, the adoption of Electric Vehicles has been growing in the USA, but their future remains at a crossroads. The objective of the research is to design and execute machine learning models capable of providing accurate predictions of future trends in electric vehicle adoption in the USA. The dataset gathered for analyzing EV adoption in the USA comprises data across three primary categories: environmental data, economic indicators, and policy-related data. The economic indicators include household income, fuel prices, electricity rates, and lithium battery costs that affect EV purchasing power obtained from the U.S. Census Bureau and the U.S. Energy Information Administration (EIA). Environmental data include greenhouse gas emissions and air quality indices from the EPA, providing information on regional environmental conditions that might affect EV attractiveness. Other policy data included federal and state incentives such as tax credits, rebates, and EV infrastructure data, collected from the U.S. Led by the U.S. Department of Energy's Alternative Fuels Data Center and the Energy Laboratory, additional EV sales trends were pulled from databases of the automotive industry. In this research project, credible and proven machine learning models were employed, most notably, Linear Regression, Random Forest, and XG-Boost. The performance of the models was tested for EV adoption prediction by considering a few important metrics: Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared (R²). From the model performance metrics presented, the Gradient Boosting Regressor and Random Forest models performed far better by a big margin than Linear Regression. The prediction models, particularly, the Random Forest regressors and Gradient Boosting regressors demonstrated incredible forecasting of electric vehicle adoption. The model works excellently on the premise that historical data with relevant features can be utilized to gain some valuable insight into future trends. Policy-makers interested in stimulating the wider use of electric vehicles can ensure that targeted policies address both current barriers and future demands. Results of this analysis suggest incentives, such as tax credits, rebates, and subsidies, are some of the most common actions to reduce the upfront cost of an EV, a key circumventing factor in the choice that many consumers face.

Collaboration, Organizational Capacity, and Sustainability: The Cross-Sector Governance of Smart Cities

Interactions with other organizations likely influence how local governments confront complex problems. Drawing on theories of collaborative governance, we investigate the extent to which collaboration affects U.S. local governments’ prioritization of the sustainability benefits of Smart Cities Technologies (SCT). Using data from the International City/County Management Association (ICMA) 2016 Smart Cities Survey and the U.S. Census Bureau, we find that collaboration with local, regional, and private sector partners influences the extent to which local governments prioritize the sustainability benefits of SCT. Organizational capacity is also an important predictor of perceived benefits of SCT. Our findings suggest a hidden side of boundary spanning, suggesting that collaboration can enhance opportunities for sustainability technologies.

Linking national primary care electronic health records to individual records from the U.S. Census Bureau's American Community Survey: evaluating the likelihood of linkage based on patient health.

To evaluate the likelihood of linking electronic health records (EHRs) to restricted individual-level American Community Survey (ACS) data based on patient health condition. Electronic health records (2019-2021) are derived from a primary care registry collected by the American Board of Family Medicine. These data were assigned anonymized person-level identifiers (Protected Identification Keys [PIKs]) at the U.S. Census Bureau. These records were then linked to restricted individual-level data from the ACS (2005-2022). We used logistic regressions to evaluate match rates for patients with health conditions across a range of severity: hypertension, diabetes, and chronic kidney disease. Among more than 2.8 million patients, 99.2% were assigned person-level identifiers (PIKs). There were some differences in the odds of receiving an identifier in adjusted models for patients with hypertension (OR = 1.70, 95% CI: 1.63, 1.77) and diabetes (OR = 1.17, 95% CI: 1.13, 1.22), relative to those without. There were only small differences in the odds of matching to ACS in adjusted models for patients with hypertension (OR = 1.03, 95% CI: 1.03, 1.04), diabetes (OR = 1.02, 95% CI: 1.01, 1.03), and chronic kidney disease (OR = 1.05, 95% CI: 1.03, 1.06), relative to those without. Our work supports evidence-building across government consistent with the Foundations for Evidence-Based Policymaking Act of 2018 and the goal of leveraging data as a strategic asset. Given the high PIK and ACS match rates, with small differences based on health condition, our findings suggest the feasibility of enhancing the utility of EHR data for research focused on health.

Cultural Conflict: Second generation African immigrant children in the United States

It was estimated in 1996 that there were 24.6 million immigrants in the United States (U.S Census Bureau 1998) what Portes (1990) and Rumbaut (1995) have termed today’s immigrants the “permanent unfinished society” of immigrants. It is this “unfinished society” of immigrants’ that contemporary African immigrants are a part of. Since the end of forced migration in the mid eighteen hundred only a small number of African immigrants have been able to come to United States compared to other groups of immigrants. For instance, from 1820 to 1993 America took in only 418,000 African immigrants according to Immigration and Naturalization records, while 345,425 Asians came to America just in 1993 (Adugna, 1998). Two thirds of all African immigrants currently in the United States arrived after 1980. According to the 1990 census, African born immigrants numbered 364,000. The authors of this paper speculates that the reasons as to why the number of African immigrants in the United Stated was and still is relatively small compared to other immigrants from other continents, is the difficult process of obtaining a visa to emigrate into the United States and the long and expensive journey that is in many ways beyond the reach of many African families.

State and Local Government Expenditures and Infant Mortality.

A previous study reported that increased state and local government expenditures were associated with decreased infant mortality rates (IMRs). However, reported estimates of the association between expenditures and IMR represented the degree to which the association changed each year, not the main effect. We reproduced the original results, reporting this main effect and replicated the analysis using improved methodology and updated data. For the reproduction analysis, we used methods and data identical to the original study: A publicly-posted, state-level data set of expenditures from 2000 to 2014 US Census Bureau survey data linked to 2-year lagged IMR data with a random intercept model including an interaction between time and expenditures. For the replication analysis, we added 5 years of data and adjusted for fixed state differences and inflation. In the reproduction, the main effects of total, environmental, and educational expenditures on IMR were much larger than the interaction effects previously reported as the main effects. For example, a 1-SD increase in per-capita total expenditures was associated with a reduction of 0.35 infant deaths per 1000 live births instead of 0.02 deaths per 1000 live births originally reported. In the updated replication, the main effects were generally even larger (eg, -0.51 deaths per 1000 per SD increase in total expenditures). Increased total expenditures were associated with absolute but not relative reductions in Black-white IMR gaps. State and local government expenditures are associated with greater reductions in IMR than previously reported, underscoring the importance of continued public investment.

Estimating Homeschool Participation in the U.S. – What We Can Learn from the Household Pulse Survey

ABSTRACT We used data from the U.S. Census Bureau’s Household Pulse Survey to examine homeschool participation at the national and state levels and compare it to participation estimates from other surveys. The Household Pulse Survey also provides demographic information about the survey respondents. Specifically, we examined respondent characteristics of age, race and ethnicity, gender and sexuality, education level, and household income. We find that respondents with homeschooled students were largely similar to those with public and private school students. These findings can promote a better understanding of the homeschool population in the U.S. and help inform evidence-driven policies.

Regional and social disparities in cessation behavior and motivation to quit among U.S. adult current smokers, Tobacco Use Supplement to the U.S. Census Bureau's Current Population Survey 2014-15 and 2018-19.

Variation in smoking cessation behaviors and motivators across the United States may contribute to health disparities. This study investigates regional differences over time in two key cessation motivators (quit interest and doctor's advice to quit) and two cessation behaviors (past-year quit attempts and recent successful cessation) across diverse demographic factors. Data were analyzed from two releases of the Tobacco Use Supplement to the U.S. Census Bureau's Current Population Survey (TUS-CPS) for the years 2014-15 and 2018-19. The analysis included sex, age, race and ethnicity, education, marital status, employment status, and household income. Findings from 2018 to 2019 TUS-CPS revealed that quit interest was highest in the Northeast and lowest in the Midwest, while doctor's advice to quit was most prevalent in the Northeast and least in the West. Past-year quit attempts were most common in the Northeast and least in the South. Recent successful cessation (defined as quitting for 6 to 12 months) was highest in the Northeast and Midwest, with the South showing the lowest rates. Compared to the 2014-15 survey, 14 demographic groups (7 in the Midwest, 6 in the South, and 1 in the West) showed decreases in both quit interest and actions to quit. Notably, the Asian non-Hispanic group in the Northeast experienced a significant decrease in quit interest (-17.9%) but an increase in recent successful cessation (+369.2%). Overall, the study indicates that while quit interest was highest in the West, the South exhibited the lowest rates of quit attempts and successful cessation. Significant differences were also noted between age groups. These findings highlight the need for further research into cessation behaviors at more granular levels to inform policies aimed at reducing smoking-related health disparities among populations facing the greatest challenges in cessation.

Regional Distribution of Foreign-Born Medical Graduates in US Primary Care Specialty Residencies from 2010 to 2022.

The United States has more foreign-born (FB) individuals than any other country and a large international medical graduate (IMG) workforce. Yet little is known about the trends of FB IMGs matching into primary care specialties residency programs or the alignment between FB individuals and FB IMGs. This study examined the recent trends in FB IMGs entry into primary care specialty residency programs and their distribution in relation to the US FB population. In this retrospective study, we used archives of National Resident Matching Program (NRMP) data on the main residency match from 2010 to 2022. We extracted match data and program directors' policies for internal medicine, pediatrics, family medicine, and internal medicine/pediatrics. We also extracted data on the total population and FB individuals from the US Census Bureau for each US state from 2010 to 2022. From 2010 to 2022, 17.2% of primary care specialty positions were filled by FB IMGs, with 22.1% for internal medicine, 11.3% for pediatrics, 10.7% for family medicine, and 3.2% for internal medicine/pediatrics. The percentage of primary care specialty positions filled by FB IMGs was significantly higher than the percentage of FB people in the US overall and 7 of 9 US regions (p < 0.001) (excepting Pacific and Mountain). The percentage of family medicine, pediatrics, and internal medicine/pediatrics positions filled by FB IMGs was significantly lower than the proportion of FB people (p < 0.001). Internal medicine had a higher proportion of positions filled by FB IMGs compared to the proportion of FB individuals in the general population (p < 0.001). Distribution of FB IMGs varies in primary care specialties compared to FB people in the US. Given the importance of aligning medical education with patients' needs, programs could take into account population demographics while assessing and admitting the applicants.

Leveraging Full Count Census Data through Record Linkage

Academic researchers in the U.S. and Canada have partnered with genealogical organizations and statistical agencies to create massive new scientific data collections from census enumerations. These data are creating new opportunities for research across the social and health sciences. By linking individuals and families across censuses, analysts can create national longitudinal panels that trace the characteristics of individuals over their lives and families over multiple generations. IPUMS disseminates full count census enumerations for ten U.S. census years from 1850 to 1950. These full count data cover almost 800 million individual records and the IPUMS Multigenerational Longitudinal Panel (MLP) project links individuals' records across censuses. IPUMS data can be combined with data from the U.S. Census Bureau’s data linkage infrastructure to link historical records to numerous recent censuses, surveys and administrative data that measure social, economic and health outcomes. The Canadian Peoples (TCP) is a comprehensive public research database of 40 million coded and georeferenced records found in Canadian censuses from the middle of the nineteenth century until after the First World War. The data include personal, family and household characteristics of every individual enumerated in each census from 1852 to 1921. TCP investigators are exploring record linkage technology to solve challenges presented with these historical records. The workshop included one presentation from each organization, with these objectives: introduce the data collections, explain the challenges and opportunities of census linkage, describe the linking strategies, and provide an overview on how to access the data.

Key themes of community-oriented primary care projects from a longitudinal, rural interprofessional health professions curriculum (1997–2023)

BackgroundThe Community Oriented Primary Care Project Model (COPC) has been well studied globally as well as in the United States as a way to provide both community-centered primary care and to engage in community based research. Rural trainees through the University of Illinois College of Medicine’s Rural Medical Education Program (RMED) and Rural Pharmacy Education Program (RPHARM) students through the University of Illinois Chicago College of Pharmacy have participated in a COPC project as a capstone to a four month longitudinal, immersive community-based experience in a rural primary care setting. The purpose of this study was to assess the type of projects implemented through a rural health professions curriculum over a 30 year project period. .MethodsA research team reviewed projects on 30 elements; including topic and demographics. Patterns in COPC topics and rurality of the location in which the COPC project were also examined by using 2021 U.S. Census Bureau population data and Rural Urban Commuting Area (RUCA) Code.ResultsCOPC projects were categorized into 31 main topic areas with mental health being the most prevalent topic area covered by projects (n = 67, 15.7%) followed by 43 (10.1%) projects that focused on nutrition/exercise, and 41 (9.6%) focused on substance use (presented as a separate category from mental health in this analysis).ConclusionsFor three decades, COPC themes reflect priority health issues in rural communities while providing a scholarly activity for health profession student trainees Past projects have also been implemented in highly rural areas where research is not often conducted. The COPC research process can be easily replicated in other trainee models such as to fulfill ACGME requirements of scholarly activity and can provide a template for trainees of this model to implement community-engaged research in the future.

Prevalence, Correlates, and Impacts of Displacement Because of Natural Disasters in the United States From 2022 to 2023.

Objectives. To quantify the prevalence, correlates, and impacts of displacement because of natural disasters in the United States. Methods. We pooled data across 10 independent survey samples from the Census Bureau Household Pulse Survey from December 2022 to September 2023. Survey questions asked about displacement from home because of natural disasters, duration of displacement, and impacts of disasters. Results. In our weighted sample of 213 234 003 adults, 3 166 500 (1.5%) reported displacement in the past year because of a natural disaster. People of color, sexual and gender minority populations, and those with lower incomes, disabilities, or unfavorable social determinants of health (SDOH) such as food insecurity were more likely to report displacement. Long-term displacement was more common with fires compared with other disasters. Disaster impacts, including food and water shortage, electricity loss, unsanitary conditions, feeling isolated, and experiencing scams, were more common among people of color and individuals with lower education or income. Conclusions. Many people in the United States, particularly from health disparity populations, are displaced because of natural disasters. Addressing SDOH and other vulnerability factors may help improve disaster preparedness and mitigate postdisaster impacts. (Am J Public Health. Published online ahead of print October 24, 2024:e1-e11. https://doi.org/10.2105/AJPH.2024.307854).

Sociodemographic disparities in antibiotic-resistant outpatient urine cultures in a Boston hospital, 2015–2020: a cross-sectional analysis

BackgroundAntibiotic resistance in uropathogens has rapidly escalated over time, complicating treatment and increasing morbidity and mortality. Few studies have explored how the social determinants of health may be associated with patients’ risks for acquiring antibiotic-resistant (AR) uropathogens.MethodsWe identified urine cultures collected from outpatients presenting to Tufts Medical Center Primary Care Practices between 2015 and 2020. Specimens were included if patients’ age, sex, and residential address were recorded in the electronic medical record (EMR) and if their urine culture yielded Enterococcus spp. or one or more gram-negative bacterial organism(s) or for which antibiotic susceptibility profiling and species identification was conducted. We abstracted patients’ sociodemographic characteristics from the EMR and used US Census Bureau data to identify characteristics about patients’ census tracts of residence. We evaluated associations between individual- and neighborhood-level characteristics and patients’ risk of having a urine culture resistant to (1) three or more antibiotic classes (i.e., multidrug resistant [MDR]), (2) first-line treatments, (3) fluoroquinolones, (4) aminoglycosides, or (5) ceftriaxone using logistic regression models and a Bonferroni correction to account for multiple hypothesis testing.ResultsWe included urine cultures from 1,306 unique outpatients, most of whom were female (89%). Patients largely self-identified as Non-Hispanic White (36%), Asian (15%), or Non-Hispanic Black (11%). Over 60% lived in an environmental justice-designated census tract. Most included isolates were Escherichia coli (76%) or Klebsiella pneumoniae (7%). Using public insurance increased patients’ odds of having a uropathogen resistant to first-line antibiotics, but living in a limited-income neighborhood reduced patients’ odds of having a MDR uropathogen by 47%. We noted a strong but non-significant positive trend between speaking a language other than English and having an aminoglycoside-resistant uropathogen (p-value = 0.02). Most notably, after controlling for other factors, we observed no statistically significant associations between race or ethnicity and AR uropathogens.ConclusionThe social determinants of health may play important and intersecting roles in determining a patient’s risk of having a resistant uropathogens that is more challenging or expensive to treat. It is crucial to acknowledge how race is likely to be a proxy for other factors affecting health, and to consider that some groups may be disproportionately impacted by antibiotic resistance.

US Primary Care WorkforceGrowth: A Decade of Limited Progress, and Projected Needs Through 2040.

Despite efforts to mitigate a projected primary care physician (PCP) shortage required to meet an aging, growing, and increasingly insured population, shortages remain, compounded by the COVID-19 pandemic, growing inequity, and persistent underinvestment. We examined primary care workforce trends over the past decade and revisited projected primary care clinician workforce needs through the year 2040. Using data from the AMA Masterfile and Medical Expenditure Panel Survey (MEPS), we analyzed trends in the number of primary care physicians (PCPs) and in outpatient PCP visits by age and gender over the past decade. We then used the Medicare PECOS and Physician & Other Practitioners datasets to identify nurse practitioners (NPs) and physician assistants (PAs) in primary care. Using these baseline clinician enumerations and projected population growth estimates from the US Census Bureau for the years 2020-2040, we calculated estimated primary care workforce needs by 2040. The effects of aging and population growth and baseline shortages in the primary care workforce call for significant increases in the primary care workforce to accommodate rising demands. Office visits to primary care clinicians are projected to increase from 773,606 in 2020 to 893,098 in 2040. We project a need for an additional 57,559primary care clinicians by 2040. Workforce shortages in primary care continue to expand due to populationaging, growth, and heightened rates of clinicianburnout& egress.

Resumption Of Medicaid Eligibility Redeterminations: Little Change In Overall Insurance Coverage.

In anticipation of the end of the COVID-19 public health emergency, Congress ended the Medicaid continuous coverage requirement on March31, 2023, allowing states to terminate coverage for ineligible people and resume eligibility determinations through a process known as unwinding. Although administrative data have documented substantial declines in Medicaid enrollment since April2023, the impact on uninsurance is unknown. Using data from the Census Bureau's Household Pulse Survey, we estimated the early effect of Medicaid unwinding on insurance coverage among people ages19-64. We found that within the first three months of unwinding, the number of people self-reporting Medicaid coverage declined by approximately two million, and there was a much smaller, statistically insignificant decline in overall coverage of approximately 467,000 people. It appears that for many people, the availability of employer-sponsored insurance and other private coverage offset Medicaid coverage loss. These results suggest that the resumption of redeterminations has had less impact on uninsurance than was initially feared. Our findings highlight the importance of tracking coverage transitions during unwinding. By identifying populations at risk for uninsurance after Medicaid loss, these data could enhance the effectiveness of state outreach and enrollment assistance for people eligible for Marketplace coverage and subsidies.