Provider Perspectives on Rapid Treatment Initiation Among People Newly Diagnosed With HIV: A New Message of "Urgency"?

BACKGROUND: Early initiation of antiretroviral therapy improves human immunodeficiency virus (HIV) outcomes. However, achieving earlier treatment initiation is challenging for many reasons including provider awareness and clinic barriers; this study sought to understand perceptions of an early initiation program. METHODS: We interviewed 10 providers from 3 HIV clinics in North Carolina (October-November 2020). We asked providers about overall perceptions of early initiation and the pilot program. We developed narrative summaries to understand individual contexts and conducted thematic analysis using NVivo. RESULTS: Providers believed earlier initiation would signal an "extra sense of urgency" about the importance of antiretroviral therapy-a message not currently reflected in standard of care. Safety was a consistent concern. Cited implementation barriers included transportation assistance, medication sustainability, and guidance to address increased staff time and appointment availability. CONCLUSION: Our qualitative findings highlight the need for training on the safety of early initiation and addressing staffing needs to accommodate quicker appointments.

Doctor and clinic staff perspectives on a program to immediately start HIV treatment among patients newly diagnosed with HIVTreating human immunodeficiency virus (HIV) is easier than ever. Starting newly diagnosed persons on HIV medication as soon as possible is a now recommended goal. However, starting patients right away can be challenging. This study interviewed doctors and clinic staff to better understand their perspectives prior to implementing a program that would provide newly diagnosed patients with HIV treatment immediately. Results showed that some doctors are worried patients will not return after receiving their medications. Providers want support for linking patients to the clinic and ensuring they will be able to receive their next dose of medication when they come in. Other providers saw the benefits of reducing HIV stigma if the program can more quickly start patients on treatment. Some providers explained that when you go to the doctor and are sick you receive medications immediately, yet for newly diagnosed patients living with HIV, patients can be told to come back a month later to start treatment. Some providers believe shifting this messaging may also help patients take their medications better. Most providers saw the need for clinics to have more same-day appointment availability to meet the needs of the new program. Overall, providers were excited about the opportunity to improve the HIV care by offering HIV medications to newly diagnosed patients immediately.

Spatial Variability in Relationships between Early Childhood Lead Exposure and Standardized Test Scores in Fourth Grade North Carolina Public School Students (2013-2016).

BACKGROUND: Exposure to lead during childhood is detrimental to children's health. The extent to which the association between lead exposure and elementary school academic outcomes varies across geography is not known. OBJECTIVE: Estimate associations between blood lead levels (BLLs) and fourth grade standardized test scores in reading and mathematics in North Carolina using models that allow associations between BLL and test scores to vary spatially across communities. METHODS: We link geocoded, individual-level, standardized test score data for North Carolina public school students in fourth grade (2013-2016) with detailed birth records and blood lead testing data retrieved from the North Carolina childhood blood lead state registry on samples typically collected at 1-6 y of age. BLLs were categorized as: 1µg/dL (reference), 2µg/dL, 3-4µg/dL and ≥5µg/dL. We then fit spatially varying coefficient models that incorporate information sharing (smoothness), across neighboring communities via a Gaussian Markov random field to provide a global estimate of the association between BLL and test scores, as well as census tract-specific estimates (i.e., spatial coefficients). Models adjusted for maternal- and child-level covariates and were fit separately for reading and math. RESULTS: The average BLL across the 91,706 individuals in the analysis dataset was 2.84µg/dL. Individuals were distributed across 2,002 (out of 2,195) census tracts in North Carolina. In models adjusting for child sex, birth weight percentile for gestational age, and Medicaid participation as well as maternal race/ethnicity, educational attainment, marital status, and tobacco use, BLLs of 2µg/dL, 3-4µg/dL and ≥5µg/dL were associated with overall lower reading test scores of -0.28 [95% confidence interval (CI): -0.43, -0.12], -0.53 (-0.69, -0.38), and -0.79 (-0.99, -0.604), respectively. For BLLs of 1µg/dL, 2µg/dL, 3-4µg/dL and ≥5µg/dL, spatial coefficients-that is, tract-specific adjustments in reading test score relative to the "global" coefficient-ranged from -9.70 to 2.52, -3.19 to 3.90, -11.14 to 7.85, and -4.73 to 4.33, respectively. Results for mathematics were similar to those for reading. CONCLUSION: The association between lead exposure and reading and mathematics test scores exhibits considerable heterogeneity across North Carolina communities. These results emphasize the need for prevention and mitigation efforts with respect to lead exposures everywhere, with special attention to locations where the cognitive impact is elevated. https://doi.org/10.1289/EHP13898.

Modeling the Effects of Policies that Restrict Tobacco Retail Outlets on Prenatal Smoke Exposure and Perinatal Health Care Utilization.

Tobacco retail outlet (TRO) density has been associated with increased cotinine levels in pregnant persons and their children. As such, the higher densities of TROs may represent higher levels of active smoking during pregnancy. The purpose of this study is to simulate the reduction in cotinine (a biomarker of smoke exposure) and health care utilization that could occur in pregnant persons under enactment of several candidate TRO reduction policy recommendations. Using existing retail outlet data from the state of North Carolina and from the Newborn Epigenetic Study (NEST), the present study created hypothetical policy-informed datasets of TROs that a) limited the number of TROs to the same density as the 2014 San Francisco (SF) policy (Policy 1), b) set the minimum distance to 500 feet between TROs from a school and from other TROs (Policy 2), c) restricted the types of TROs to exclude pharmacies (Policy 3), and d) a combination of Policies 1-3 (Policy 4). We estimated the effects of each policy individually and in a separate model with their combined effects in terms of the reduction on cotinine levels and health care utilization, as measured by number of visits to the emergency department (ED). We found that the hypothetical policies were likely to be effective in reducing maternal cotinine and ED visits, with the majority of the mothers in the dataset demonstrating reductions in these outcomes after implementation of the policies. We found that Policy 1 led to moderate reductions in TRO exposure for the majority of the sample as well as stratified by race/ethnicity. Additionally, Policy 4 had slightly larger estimated effects than Policy 1, but could be more onerous to implement in practice. Overall, we identified evidence supporting the efficacy of TRO reduction strategies that could impact smoke exposure during pregnancy in our diverse sample in North Carolina.

Development and validation of the mpox stigma scale (MSS) and mpox knowledge scale (MKS).

BACKGROUND: Few validated brief scales are available to measure constructs that may hinder mpox-related prevention and care engagement, such as knowledge and stigma. Both are highly salient barriers to infectious disease care and disease understanding, precursors to evaluating one's risk and need to, for example, accept vaccination. To address this gap, we developed and validated the Mpox Stigma Scale (MSS) and Mpox Knowledge Scale (MKS). METHODS: As part of a full-scale clinical trial, we offered an optional mpox survey to participants who self-identified as African American or Black, were 18-29 years old, and lived in Alabama, Georgia, or North Carolina (2023, N = 330). We calculated psychometric properties through confirmatory factor analyses (CFA) and applied Comparative Fit Index (CFI), Goodness of Fit Index (GFI), and Tucker-Lewis Index (TLI) values equal to or exceeding 0.90 and Root Mean Square Error of Approximation (RMSEA) and Standardized Root Mean Square Residual (SRMR) values less than 0.08 to determine adequate model fit. We computed internal reliability using Cronbach's alpha and calculated Pearson or Spearman correlation coefficients between the MSS and MKS and related variables. RESULTS: For the MSS, CFA results showed that the one-factor model fit the data well (χ2(df = 5, N = 330) = 34.962, CFI = 0.97, GFI = 0.99, TLI = 0.94, RMSEA = 0.13, SRMR = 0.03). For the MKS, the one-factor model provided a good fit to the data (χ2(df = 6, N = 330) = 8.44, CFI = 0.99, GFI = 0.99, TLI = 0.95, RMSEA = 0.15, SRMR = 0.02). Cronbach's alphas were MSS = 0.91 and MKS = 0.83, suggesting good to excellent reliability. The MSS was correlated with the MKS (r = .55, p < .001), stigmatizing attitudes (r = .24, p < .001), attitudes towards mpox vaccination (r=-.12, p = .030), and worry about contracting mpox (r = .44, p < .001). The MKS was correlated with worry about contracting mpox (r = .30, p < .001) and mpox disclosure (r=-.16, p = .003). CONCLUSIONS: The MSS and MKS are reliable and valid tools for public health practice, treatment and prevention research, and behavioral science. Further validation is warranted across populations and geographic locations. TRIAL REGISTRATION: ClinicalTrials.gov NCT05490329.

Lyme Disease Under-Ascertainment During the COVID-19 Pandemic in the United States: Retrospective Study.

Background: The COVID-19 pandemic resulted in a massive disruption in access to care and thus passive, hospital- and clinic-based surveillance programs. In 2020, the reported cases of Lyme disease were the lowest both across the United States and North Carolina in recent years. During this period, human contact patterns began to shift with higher rates of greenspace utilization and outdoor activities, putting more people into contact with potential vectors and associated vector-borne diseases. Lyme disease reporting relies on passive surveillance systems, which were likely disrupted by changes in health care-seeking behavior during the pandemic. Objective: This study aimed to quantify the likely under-ascertainment of cases of Lyme disease during the COVID-19 pandemic in the United States and North Carolina. Methods: We fitted publicly available, reported Lyme disease cases for both the United States and North Carolina prior to the year 2020 to predict the number of anticipated Lyme disease cases in the absence of the pandemic using a Bayesian modeling approach. We then compared the ratio of reported cases divided by the predicted cases to quantify the number of likely under-ascertained cases. We then fitted geospatial models to further quantify the spatial distribution of the likely under-ascertained cases and characterize spatial dynamics at local scales. Results: Reported cases of Lyme Disease were lower in 2020 in both the United States and North Carolina than prior years. Our findings suggest that roughly 14,200 cases may have gone undetected given historical trends prior to the pandemic. Furthermore, we estimate that only 40% to 80% of Lyme diseases cases were detected in North Carolina between August 2020 and February 2021, the peak months of the COVID-19 pandemic in both the United States and North Carolina, with prior ascertainment rates returning to normal levels after this period. Our models suggest both strong temporal effects with higher numbers of cases reported in the summer months as well as strong geographic effects. Conclusions: Ascertainment rates of Lyme disease were highly variable during the pandemic period both at national and subnational scales. Our findings suggest that there may have been a substantial number of unreported Lyme disease cases despite an apparent increase in greenspace utilization. The use of counterfactual modeling using spatial and historical trends can provide insight into the likely numbers of missed cases. Variable ascertainment of cases has implications for passive surveillance programs, especially in the trending of disease morbidity and outbreak detection, suggesting that other methods may be appropriate for outbreak detection during disturbances to these passive surveillance systems.

Perceptions of HIV self-testing promotion in black barbershop businesses: implications for equitable engagement of black-owned small businesses for public health programs.

BACKGROUND: HIV self-testing (HIVST) offers an innovative and promising approach to increasing HIV testing among Black men in the United States, a population disproportionately affected by HIV. However, engaging Black men in traditional HIV prevention programs has been challenging due to stigma, medical mistrust, and limited access to preventive health services. This formative qualitative study aimed to explore the potential of utilizing barbershops as an example of a nontraditional healthcare venue to promote and distribute HIVST. METHODS: Four virtual focus group discussions (FGDs) consisting of 19 participants in North Carolina were conducted with Black men, including barbershop business owners, barbers, and their customers, to assess perceptions of HIVST and the acceptability of partnering with barbershop businesses to promote HIVST. FGDs were digitally recorded, transcribed, and analyzed using a deductive coding approach to thematic analysis. RESULTS: Participants reported that the trusting relationship between barbers and their customers, which may not exist between Black men and health care providers, is a facilitator of collaborating with barbershop businesses to reach Black men for HIVST distribution. Participants recommended providing education for barbers on the use of HIVST, as well as how to inform self-testers about linkage to care following HIVST to build the credibility of the barbers in delivering the intervention. Participants also raised the issue of the cost of HIVST to barbershop customers as a potential barrier to implementation, as well as the possibility that the implementation of such interventions could be seen as out of place in a barbershop business venue. Participants also expressed a strong belief that compensation to barbershops and their employees should accompany any intervention. CONCLUSION: These findings suggest that barbershop business venues may provide an appropriate venue for HIVST promotion and distribution, though factors like cost, training, and incentivization of implementers are necessary to consider in implementation planning. Furthermore, partnerships between public health actors and the business community must be built on equitable engagement to ensure the long-term viability of these critical initiatives.

The geography of COVID-19 vaccine completion by age in North Carolina, U.S.

BACKGROUND: Geographic variation in COVID-19 vaccination can create areas at higher risk of infection, complications, and death, exacerbating health inequalities. This ecological study examined geographic patterns of COVID-19 vaccine completion, using age and sociodemographic characteristics as possible explanatory mechanisms. METHODS AND FINDINGS: Using 2020-2022 data from the North Carolina COVID-19 Vaccination Management System and U.S. Census Bureau American Community Survey, at the Zip code-level, we evaluated completion of the primary COVID-19 vaccine series across age groups. We examined geographic clustering of age-specific completion by Zip code and evaluated similarity of the age-specific geographic patterns. Using unadjusted and adjusted spatial autoregressive models, we examined associations between sociodemographic characteristics and age-specific vaccine completion. COVID-19 vaccine completion was moderately geographically clustered in younger groups, with lower clustering in older groups. Urban areas had clusters of higher vaccine completion. Younger and middle-aged groups were the most similar in completion geographically, while the oldest group was most dissimilar to other age groups. Higher income was associated with higher completion in adjusted models across all age groups, while a higher percent of Black residents was associated with higher completion for some groups. CONCLUSIONS: COVID-19 vaccination completion is more variable among younger age groups in North Carolina, and it is higher in urban areas with higher income. Higher completion in areas with more Black residents may reflect the success of racial equity efforts in the state. The findings show a need to reach younger populations and lower income areas that were not prioritized during early vaccination distribution.

Arthropod community composition in urban landscapes is shaped by both environmental filtering and dispersal limitation.

We assessed the relative importance of environmental filtering and dispersal limitation in structuring foliage- and ground-dwelling arthropod communities in central North Carolina. We hypothesized that differences in both local environment and dispersal distance between sites would predict differences in community composition, but that dispersal distance would be more important for ground arthropods than for foliage arthropods. We used variance partitioning to quantify the relative explanatory power of differences in the local environment and dispersal distance between sampling plots. For foliage arthropods, the full set of predictors explained 37-39% of the variance in community dissimilarity, while the full set of predictors explained 42-56% of the variance for ground arthropods. Environmental predictors alone consistently explained more variance in community dissimilarity than geographic predictors alone for ground arthropods, but the variance explained by each predictor set alone varied for foliage arthropods depending on the metric of community dissimilarity. Examining communities of multiple arthropod groups across the same spatial gradient highlights the scale-dependence of these processes and illustrates how variation in the environment can alter the relative abundance of specialist and generalist taxa.

Local Genomic Surveillance of Invasive Streptococcus pyogenes in Eastern North Carolina (ENC) in 2022-2023.

The recent increase in Group A Streptococcus (GAS) incidences in several countries across Europe and some areas of the Unites States (U.S.) has raised concerns. To understand GAS diversity and prevalence, we conducted a local genomic surveillance in Eastern North Carolina (ENC) in 2022-2023 with 95 isolates and compared its results to those of the existing national genomic surveillance in the U.S. in 2015-2021 with 13,064 isolates. We observed their epidemiological changes before and during the COVID-19 pandemic and detected a unique sub-lineage in ENC among the most common invasive GAS strain, ST28/emm1. We further discovered a multiple-copy insertion sequence, ISLgar5, in ST399/emm77 and its single-copy variants in some other GAS strains. We discovered ISLgar5 was linked to a Tn5801-like tetM-carrying integrative and conjugative element, and its copy number was associated with an ermT-carrying pRW35-like plasmid. The dynamic insertions of ISLgar5 may play a vital role in genome fitness and adaptation, driving GAS evolution relevant to antimicrobial resistance and potentially GAS virulence.

Real-Time Workload Assessment to Enhance Performance.

Workforce shortages, increasing costs, decreased reimbursement, and focus on quality outcomes are crucial issues for health care leaders. To remain competitive, profitable, and productive, health care organizations need to provide structure, a safe working environment, and an acceptable leader workload to guarantee effective leader performance. Poorly designed work environments and interfaces can increase workload resulting in decreased performance and satisfaction. Excessive workload has led to reduced job satisfaction, productivity, and resilience. Due to leadership turnover and vacancy rates, leader workload was perceived to be unreasonable in the respiratory therapy (RT) department of an academic medical institution in central North Carolina. The aim of this quality initiative was to explore the workload of health care leaders in the RT department to identify the factors that influenced workload as well as implement strategies to decrease perceived workload. A workload assessment was performed, which identified inefficiencies and opportunities to partner with ancillary departments to align the workload with appropriate clinical teams. The redistribution of workload provided alignment, top of scope practice, and improved satisfaction among the RT department leaders. This article identifies the strategies utilized which can be translated to other institutions.

A produce prescription program for patients with low incomes in North Carolina resulted in increased produce purchases.

OBJECTIVES: To assess if participation in a North Carolina produce prescription program for Supplemental Nutrition Assistance Program (SNAP) participants with diet-sensitive health conditions (SuperSNAP) is associated with changes in purchase composition and spending source. METHODS: This study used loyalty-card transaction data (October 2019-April 2022). We applied a linear mixed-effects model with overlap weights to perform a difference-indifferences analysis of purchases by SuperSNAP program enrollees compared to the control group. RESULTS: The sample included 1440 SuperSNAP shoppers and 45,851 control shoppers. Compared to shoppers only on SNAP, SuperSNAP shoppers spent $82.98 (95% CI (75.6, 90.3), p-value <0.001) more per month, $76.09 (95% CI (69.4, 82.8), pvalue <0.001) of which were spent strictly on food and beverage products. Among SuperSNAP shoppers, out of the $40 SuperSNAP benefit each month, an estimated $34.86 (95% CI (33.9, 35.8), p-value <0.001) of it was spent on fruits and vegetables. CONCLUSIONS: This study shows the promise of targeted produce prescription programs for SNAP participants in encouraging shifts in purchase composition.

Estimating rates of change to interpret quantitative wastewater surveillance of disease trends.

BACKGROUND: Wastewater monitoring data can be used to estimate disease trends to inform public health responses. One commonly estimated metric is the rate of change in pathogen quantity, which typically correlates with clinical surveillance in retrospective analyses. However, the accuracy of rate of change estimation approaches has not previously been evaluated. OBJECTIVES: We assessed the performance of approaches for estimating rates of change in wastewater pathogen loads by generating synthetic wastewater time series data for which rates of change were known. Each approach was also evaluated on real-world data. METHODS: Smooth trends and their first derivatives were jointly sampled from Gaussian processes (GP) and independent errors were added to generate synthetic viral load measurements; the range hyperparameter and error variance were varied to produce nine simulation scenarios representing different potential disease patterns. The directions and magnitudes of the rate of change estimates from four estimation approaches (two established and two developed in this work) were compared to the GP first derivative to evaluate classification and quantitative accuracy. Each approach was also implemented for public SARS-CoV-2 wastewater monitoring data collected January 2021-May 2023 at 25 sites in North Carolina, USA. RESULTS: All four approaches inconsistently identified the correct direction of the trend given by the sign of the GP first derivative. Across all nine simulated disease patterns, between a quarter and a half of all estimates indicated the wrong trend direction, regardless of estimation approach. The proportion of trends classified as plateaus (statistically indistinguishable from zero) for the North Carolina SARS-CoV-2 data varied considerably by estimation method but not by site. DISCUSSION: Our results suggest that wastewater measurements alone might not provide sufficient data to reliably track disease trends in real-time. Instead, wastewater viral loads could be combined with additional public health surveillance data to improve predictions of other outcomes.

Paternal behavior in captive fat-tailed dwarf lemurs (Cheirogaleus medius) is preserved under socially relevant conditions.

Fat-tailed dwarf lemurs (Cheirogaleus medius), primates endemic to Madagascar, are obligate hibernators that form stable, lifelong pairs in the wild. Given the temporal constraints imposed by seasonal hibernation, infant dwarf lemurs must grow, develop, and wean within the first two months of life. Maternal as well as paternal infant care, observed in the wild, has been deemed critical for infant survival. Given the importance of fathers' involvement in early infant care, we expect this behavior to persist even under captive conditions. At the Duke Lemur Center, in Durham NC, we observed two families of fat-tailed dwarf lemurs and focused on the behavior of adult males within the first two months of the infants' lives. We report evidence of paternal involvement, including babysitting, co-feeding, grooming, accompanying, and leading infants, consistent with observations from the wild. As expected, paternal babysitting decreased as infants gained independence, while co-feeding increased. Supplemental anecdotes, video recorded by observers, also highlight clear cases of involvement by both parents, and even older siblings, in safeguarding and socializing new infants. We argue that maintaining captive fat-tailed dwarf lemur populations under socially and ecologically relevant conditions facilitates the full expression of physiological and behavioral repertoires. Most importantly, it also allows dwarf lemurs to realize their species' potential and become robust proxies of their wild kin.

Race and Ethnicity and Diagnostic Testing for Common Conditions in the Acute Care Setting.

Importance: Overuse of diagnostic testing is pervasive, but the extent to which it varies by race and ethnicity in the acute care setting is poorly understood. Objective: To use a previously validated diagnostic intensity index to evaluate differences in diagnostic testing rates by race and ethnicity in the acute care setting, which may serve as a surrogate for diagnostic test overuse. Design, Setting, and Participants: This was a cross-sectional study of emergency department (ED) discharges, hospital observation stays, and hospital admissions using administrative claims among EDs and acute care hospitals in Kentucky, Maryland, North Carolina, and New Jersey, from 2016 through 2018. The diagnostic intensity index pairs nonspecific principal discharge diagnoses (nausea and vomiting, abdominal pain, chest pain, and syncope) with related diagnostic tests to estimate rates of nondiagnostic testing. Adults with an acute care encounter with a principal discharge diagnosis of interest were included. Data were analyzed from January to February 2024. Exposure: Race and ethnicity (Asian, Black, Hispanic, White, other [including American Indian, multiracial, and multiethnic], and missing). Main Outcomes and Measures: Receipt of a diagnostic test. Generalized linear models with a hospital-specific indicator variable were estimated to calculate the adjusted odds ratio of receiving a test related to the principal discharge diagnosis by race and ethnicity, controlling for primary payer and zip code income quartile. Results: Of 3 683 055 encounters (1 055 575 encounters [28.7%] for Black, 300 333 encounters [8.2%] for Hispanic, and 2 140 335 encounters [58.1%] for White patients; mean [SD] age of patients with encounters, 47.3 [18.8] years; 2 233 024 encounters among females [60.6%]), most (2 969 974 encounters [80.6%]) were ED discharges. Black compared with White patients discharged from the ED with a diagnosis of interest had an adjusted odds ratio of 0.74 (95% CI, 0.72-0.75) of having related diagnostic testing. No other racial or ethnic disparities of a similar magnitude were observed in any acute care settings. Conclusions and Relevance: In this study, White patients discharged from the ED with a nonspecific diagnosis of interest were significantly more likely than Black patients to receive related diagnostic testing. The extent to which this represents diagnostic test overuse in White patients vs undertesting and missed diagnoses in Black patients deserves further study.

Food Insecurity Associated with Higher Stress, Depressive Symptoms, and Lower Diet Quality among Women Caregivers in North Carolina.

BACKGROUND: Research suggests a bidirectional relationship between food insecurity and stress, but few studies have examined associations of food insecurity with stress and other indicators of cardiometabolic health, including depression, diet quality, and body weight, among lower-income women in the U.S. METHODS: This cross-sectional study analyzed data from lower-income women caregivers living in North Carolina (n = 100): 42% Black/African American, 25% Hispanic/Latina, and 33% White women. Multivariable linear regression models were used to determine associations of food insecurity status with perceived stress, depressive symptoms, diet quality, and body mass index (BMI). Multivariable logistic regression models were used to determine associations of food insecurity with clinical depression and BMI ≥ 30 kg/m2. Associations were examined with and without adjustment for perceived stress. RESULTS: Forty-two percent of the sample were experiencing food insecurity. Compared to food secure caregivers, food-insecure caregivers had significantly higher perceived stress (ß: +7.51; 95%CI: 4.19, 10.84) and depressive symptoms (ß: +3.55; 95%CI: 0.54, 6.56) and lower diet quality (ß: -9.10; 95%CI: -15.81, -2.40). Associations with BMI outcomes were not statistically significant. CONCLUSION: Findings support removing stigma in nutrition assistance programs and clinical interactions, motivate future longitudinal studies, and inform the development of destigmatizing interventions for health promotion or disease prevention.

Comparing Social Disadvantage Indices in Pediatric Populations.

BACKGROUND AND OBJECTIVES: Place-based social disadvantage indices are increasingly used to promote health equity, but vary in design. We compared associations between 3 commonly used indices (Social Vulnerability Index [SVI], Area Deprivation Index [ADI], and Child Opportunity Index [COI]) and infant well-child check (WCC) attendance and adolescent obesity. We hypothesized that the COI would have the strongest association with child health outcomes. METHODS: We conducted a cross-sectional analysis of 2014-2019 Duke University Health System electronic health record data. Eligible participants were ≤18 years old, had outpatient encounters during the study period, and resided in Durham County, North Carolina. We aggregated indices into deciles; higher deciles represented greater disadvantage. Multivariable logistic regression models quantified the association between each index and infant WCC attendance (ages 0-15 months) and adolescent obesity (11-17 years). RESULTS: There were 10 175 and 14 961 children in the WCC and obesity cohorts, respectively. All 3 indices were similarly associated with WCCs (SVI odds ratio [OR] 1.10, 95% confidence interval [CI] 1.08-1.12; ADI OR 1.10, 95% CI 1.08-1.12; COI OR 1.12, 95% CI 1.10-1.14) and obesity (SVI OR 1.06, 95% CI 1.04-1.07; ADI OR 1.08, 95% CI 1.06-1.10; COI OR 1.07, 95% CI 1.05-1.08). ORs indicate the increase in the outcome odds for every 1-decile index score increase. CONCLUSIONS: Higher disadvantage as defined by all 3 indices was similarly associated with adolescent obesity and decreased infant WCC attendance. The SVI, ADI, and COI may be equally suitable for pediatric research, but population and outcome characteristics should be considered when selecting an index.

¿No Hay Racismo?: application of the levels of racism framework to Latinx perspectives on barriers to health and wellbeing.

BACKGROUND: The purpose of this study is to increase understanding of the forms of systemic racism experienced by Latinx communities in North Carolina during the COVID-19 pandemic as identified by Latinx community health workers (CHWs) and community-based organization (CBO) leaders. METHODS: We held three focus groups in July 2022 (N = 16) with CHWs and CBO leaders in Spanish to discuss policy and community interventions that improved access to resources during the COVID-19 pandemic; policy or community interventions needed to improve care of Latinx communities; and lessons learned to improve the health of Latinx communities in the future. We performed directed and summative qualitative content analysis of the data in the original language using the Levels of Racism Framework by Dr. Camara Jones to identify examples of implicitly and explicitly discussed forms of systemic racism. RESULTS: Latinx CHWs and CBO leaders implicitly discussed numerous examples of all levels of racism when seeking and receiving health services, such as lack of resources for undocumented individuals and negative interactions with non-Latinx individuals, but did not explicitly name racism. Themes related to institutionalized racism included: differential access to resources due to language barriers; uninsured or undocumented status; exclusionary policies not accounting for cultural or socioeconomic differences; lack of action despite need; and difficulties obtaining sustainable funding. Themes related to personally-mediated racism included: lack of cultural awareness or humility; fear-inciting misinformation targeting Latinx populations; and negative interactions with non-Latinx individuals, organizations, or institutions. Themes related to internalized racism included: fear of seeking information or medical care; resignation or hopelessness; and competition among Latinx CBOs. Similarly, CHWs and CBO leaders discussed several interventions with systems-level impact without explicitly mentioning policy or policy change. CONCLUSION: Our research demonstrates community-identified examples of racism and confirms that Latinx populations often do not name racism explicitly. Such language gaps limit the ability of CHWs and CBOs to highlight injustices and limit the ability of communities to advocate for themselves. Although generally COVID-19 focused, themes identified represent long-standing, systemic barriers affecting Latinx communities. It is therefore critical that public and private policymakers consider these language gaps and engage with Latinx communities to develop community-informed anti-racist policies to sustainably reduce forms of racism experienced by this unique population.

Lead brownfields and birth defects in North Carolina 2003-2015: A cross-sectional case-control study.

BACKGROUND: Brownfields consist of abandoned and disused sites, spanning many former purposes. Brownfields represent a heterogenous yet ubiquitous exposure for many Americans, which may contain hazardous wastes and represent urban blight. Neonates and pregnant individuals are often sensitive to subtle environmental exposures. We evaluate if residential exposure to lead (Pb) brownfields is associated with birth defects. METHODS: Using North Carolina birth records from 2003 to 2015, we sampled 169,499 births within 10 km of a Pb brownfield with 3255 cardiovascular, central nervous, or external defects identified. Exposure was classified by binary specification of residing within 3 km of a Pb brownfield. We utilized multivariable logistic regression models adjusted for demographic covariates available from birth records and 2010 Census to estimate odds ratios (OR) and 95% confidence intervals (CI). Effect measure modification was assessed by inclusion of interaction terms and stratification for the potential modifiers of race/ethnicity and diabetes status. RESULTS: We observed positive associations between cardiovascular birth defects and residential proximity to Pb brownfields, OR (95%CI): 1.15 (1.04, 1.26), with suggestive positive associations for central nervous 1.16 (0.91, 1.47) and external defects 1.19 (0.88, 1.59). We did observe evidence of effect measure modification via likelihood ratio tests (LRT) for race/ethnicity for central nervous and external defect groups (LRT p values 0.08 and 0.02). We did observe modification by diabetes status for the cardiovascular group (LRT p value 0.08). CONCLUSIONS: Our results from this analysis indicate that residential proximity to Pb brownfields is associated with cardiovascular birth defects with suggestive associations for central nervous and external defects. In-depth analyses of individual defects and other contaminants or brownfield site functions may reveal additional novel associations.

Comparing Unmet Service Needs Between Rural and Urban Family Caregivers of People Living With Alzheimer's Disease and Related Dementias: A Multisite Study.

BACKGROUND AND OBJECTIVES: The scarcity of resources and available caregiving services in rural areas in the United States has been well documented. However, less research has compared unmet service needs between caregivers of people with Alzheimer's disease and related dementias (ADRD) in rural versus urban areas. RESEARCH DESIGN AND METHODS: Using semistructured interviews guided by theories of health service use and dependent care, we interviewed 20 family caregivers residing in rural areas of Western North Carolina and 18 caregivers within the urban setting of Houston, Texas, and compared their unmet service needs and contextual factors that facilitate their service use. RESULTS: Thematic analyses revealed similar unmet service needs among rural and urban caregivers; however, the ways they approached and solved their challenges differed. Caregivers in rural areas wished for more information and caregiver support whereas urban caregivers looked for information they needed until they found the answers. Rural caregivers expressed guilt about using services because they felt they were limited and zero-sum whereas urban caregivers shared available resources so that other caregivers could use them as well. Unmet service needs for urban caregivers included more racially and ethnically specific services for people with ADRD in their ethnic-specific languages and foods while rural caregivers' cultural needs were not racially and ethnically specific but for more place-specific services. DISCUSSION AND IMPLICATIONS: Recommendations for rural caregivers included utilizing online and virtual opportunities and expanding their reach across the United States. For urban caregivers, increasing culturally tailored service options would likely increase access and use.