Liver Transplant Costs and Activity After United Network for Organ Sharing Allocation Policy Changes.

Importance: A new liver allocation policy was implemented by United Network for Organ Sharing (UNOS) in February 2020 with the stated intent of improving access to liver transplant (LT). There are growing concerns nationally regarding the implications this new system may have on LT costs, as well as access to a chance for LT, which have not been captured at a multicenter level. Objective: To characterize LT volume and cost changes across the US and within specific center groups and demographics after the policy implementation. Design, Setting, and Participants: This cross-sectional study collected and reviewed LT volume from multiple centers across the US and cost data with attention to 8 specific center demographics. Two separate 12-month eras were compared, before and after the new UNOS allocation policy: March 4, 2019, to March 4, 2020, and March 5, 2020, to March 5, 2021. Data analysis was performed from May to December 2022. Main Outcomes and Measures: Center volume, changes in cost. Results: A total of 22 of 68 centers responded comparing 1948 LTs before the policy change and 1837 LTs postpolicy, resulting in a 6% volume decrease. Transplants using local donations after brain death decreased 54% (P < .001) while imported donations after brain death increased 133% (P = .003). Imported fly-outs and dry runs increased 163% (median, 19; range, 1-75, vs 50, range, 2-91; P = .009) and 33% (median, 3; range, 0-16, vs 7, range, 0-24; P = .02). Overall hospital costs increased 10.9% to a total of $46 360 176 (P = .94) for participating centers. There was a 77% fly-out cost increase postpolicy ($10 600 234; P = .03). On subanalysis, centers with decreased LT volume postpolicy observed higher overall hospital costs ($41 720 365; P = .048), and specifically, a 122% cost increase for liver imports ($6 508 480; P = .002). Transplant centers from low-income states showed a significant increase in hospital (12%) and import (94%) costs. Centers serving populations with larger proportions of racial and ethnic minority candidates and specifically Black candidates significantly increased costs by more than 90% for imported livers, fly-outs, and dry runs despite lower LT volume. Similarly, costs increased significantly (>100%) for fly-outs and dry runs in centers from worse-performing health systems. Conclusions and Relevance: Based on this large multicenter effort and contrary to current assumptions, the new liver distribution system appears to place a disproportionate burden on populations of the current LT community who already experience disparities in health care. The continuous allocation policies being promoted by UNOS could make the situation even worse.

A machine learning approach using migration-related cultural stress to classify depression and post-traumatic stress disorder among hurricane survivors.

BACKGROUND: Data science approaches have increasingly been used in behavioral health research and may be useful for addressing social factors contributing to disparities in health status. This study evaluated the importance of cultural stress-related factors in classifying depression and post-traumatic stress disorder (PTSD) among adult survivors (N = 319) of Hurricane Maria who migrated from Puerto Rico to the United States mainland. METHODS: We evaluated the performance of random forests (RF) and logistic regression (LR) for classifying PTSD and depression. Models included demographic, hurricane exposure, and migration-related cultural stress variables. We inspected area under the receiver operating characteristic curve (AUC), accuracy, balanced accuracy, F1 score, precision, recall, and specificity. RESULTS: Negative context of reception and language-related stressors were moderately important for accurately classifying depression and PTSD. For classifying depression, RF showed higher accuracy, balanced accuracy, specificity, precision, and F1. For classifying PTSD, RF showed higher accuracy, specificity, precision, and F1. LIMITATIONS: A more thorough classification model would also include biomarkers (e.g., of allostatic load), family, community, or neighborhood-level attributes. Findings may not generalize to other groups who have experienced crisis-related migration. CONCLUSIONS: Findings underscore the importance of culturally and linguistically appropriate and trauma-informed clinical services for recent migrants. Use of assessments to identify pre-migration and post-migration stressors could inform clinical practice with migrants presenting with behavioral health-related difficulties.

Reimagining infrastructure for a biodiverse future.

Civil infrastructure will be essential to face the interlinked existential threats of climate change and rising resource demands while ensuring a livable Anthropocene for all. However, conventional infrastructure planning largely neglects the contributions and maintenance of Earth's ecological life support systems, which provide irreplaceable services supporting human well-being. The stability and performance of these services depend on biodiversity, but conventional infrastructure practices, narrowly focused on controlling natural capital, have inadvertently degraded biodiversity while perpetuating social inequities. Here, we envision a new infrastructure paradigm wherein biodiversity and ecosystem services are a central objective of civil engineering. In particular, we reimagine infrastructure practice such that 1) ecosystem integrity and species conservation are explicit objectives from the outset of project planning; 2) infrastructure practices integrate biodiversity into diverse project portfolios along a spectrum from conventional to nature-based solutions and natural habitats; 3) ecosystem functions reinforce and enhance the performance and lifespan of infrastructure assets; and 4) civil engineering promotes environmental justice by counteracting legacies of social inequity in infrastructure development and nature conservation. This vision calls for a fundamental rethinking of the standards, practices, and mission of infrastructure development agencies and a broadening of scope for conservation science. We critically examine the legal and professional precedents for this paradigm shift, as well as the moral and economic imperatives for manifesting equitable infrastructure planning that mainstreams biodiversity and nature's benefits to people. Finally, we set an applied research agenda for supporting this vision and highlight financial, professional, and policy pathways for achieving it.

Racial and Socioeconomic Disparities in Long-Term Outcomes in ≥1 Year Allogeneic Hematopoietic Cell Transplantation Survivors: A CIBMTR Analysis.

Racial/ethnic minorities have demonstrated worse survival after allogeneic hematopoietic cell transplantation (HCT) compared to whites. Whether the racial disparity in HCT outcomes persists in long-term survivors and possibly may be even exacerbated in this population, which frequently transitions back from the transplant center to their local healthcare providers, is unknown. In the current study, we compared long-term outcomes among 1-year allogeneic HCT survivors by race/ethnicity and socioeconomic status (SES). The Center for International Blood and Marrow Transplant Research database was used to identify 5473 patients with acute myeloid leukemia, acute lymphocytic leukemia, chronic myeloid leukemia, or myelodysplastic syndromes who underwent their first allogeneic HCT between 2007 and 2017 and were alive and in remission for at least 1 year after transplantation. The study was restricted to patients who underwent HCT in the United States. SES was defined using patient neighborhood poverty level estimated from the recipient's ZIP code of residence; a ZIP code with ≥20% of persons below the federal poverty level was considered a high poverty area. The primary outcome was to evaluate the associations of race/ethnicity and neighborhood poverty level with overall survival (OS), relapse, and nonrelapse mortality (NRM). Cox regression models were used to determine associations of ethnicity/race and SES with OS, relapse, and NRM. Standardized mortality ratios were calculated to compare mortality rates of the study patients and their general population peers matched on race/ethnicity, age, and sex. The study cohort was predominately non-Hispanic white (n = 4385) and also included non-Hispanic black (n = 338), Hispanic (n = 516), and Asian (n = 234) patients. Overall, 729 patients (13%) resided in high-poverty areas. Significantly larger proportions of non-Hispanic black (37%) and Hispanic (26%) patients lived in high-poverty areas compared to non-Hispanic whites (10%) and Asians (10%) (P < .01). Multivariable analysis revealed no significant associations between OS, PFS, relapse, or NRM and race/ethnicity or poverty level when adjusted for patient-, disease- and transplantation-related covariates. Our retrospective cohort registry study shows that among adult allogeneic HCT recipients who survived at least 1 year in remission, there were no associations between race/ethnicity, neighborhood poverty level, and long-term outcomes.

Fertility assessment and treatment in adolescent and young adult cancer survivors.

In the survivorship setting, adolescent and young adult (AYA) cancer survivors frequently demonstrate little knowledge of infertility risk, are unclear regarding their fertility status, and may under- or overestimate their treatment-related risk for infertility. In female AYA survivors, ovarian function usually parallels fertility, and can be assessed with serum hormone levels and ultrasonography. Posttreatment fertility preservation may be appropriate for survivors at risk for primary ovarian insufficiency. In male AYA survivors, fertility and gonadal function are not always equally affected, and can be assessed with a semen analysis and serum hormones, respectively. As reproductive health issues are commonly cited as an important concern by survivors of AYA cancer, multidisciplinary care teams including oncology, endocrinology, psychology, and reproductive medicine are advocated, with the aim of optimal provision of fertility advice and care for AYA cancer survivors.

Dead Labor: Mortality Inequities by Class, Gender, and Race/Ethnicity in the United States, 1986-2019.

Objectives. To estimate social class inequities in US mortality using a relational measure based on power over productive property and workers' labor. Methods. We used nationally representative 1986-2018 National Health Interview Survey data with mortality follow-up through December 31, 2019 (n = 911 850). First, using business-ownership, occupational, and employment-status data, we classified respondents as incorporated business owners (IBOs), unincorporated business owners (UBOs), managers, workers, or not in the labor force (NLFs). Next, using inverse-probability-weighted survival curves, we estimated class mortality inequities overall, after subdividing workers by employment status and occupation, and by period, gender, race/ethnicity, and education. Results. UBOs, workers, and NLFs had, respectively, 6.3 (95% confidence interval [CI] = -8.1, -4.6), 6.6 (95% CI = -8.1, -5.0), and 19.4 (95% CI = -21.0, -17.7) per 100 lower 34-year survival rates than IBOs. Mortality risk was especially high for unemployed, blue-collar, and service workers. Inequities increased over time and were greater among male, racially minoritized, and less-educated respondents. Conclusions. We estimated considerable mortality inequities by class, gender, and race/ethnicity. We also estimated that class mortality inequities are increasing, threatening population health. Public Health Implications. Addressing class inequities likely requires structural, worker-empowering interventions. (Am J Public Health. 2023;113(6):637-646. https://doi.org/10.2105/AJPH.2023.307227).

Cost of Home-Based Couples Human Immunodeficiency Virus Counseling and Testing and Human Immunodeficiency Virus Self-Testing During Pregnancy and Postpartum in Southwestern Kenya.

OBJECTIVE: Home-based couples HIV testing and counseling and HIV self-testing (HIVST) for pregnant women can promote HIV status disclosure and male partner testing; however, cost data are lacking. We examined a home-based couples intervention (HBCI) and HIVST intervention costs per couple (unit cost) during pregnancy and postpartum in Kenya. METHODS: This randomized controlled trial is comparing HBCI and HIVST for couples among pregnant women attending antenatal care clinics in two counties in southwestern Kenya. We used micro-costing to estimate the unit cost per couple receiving the intervention as the total of direct and indirect costs for each study arm in 2019 US$. We used a one-month window to conduct a time and motion study to determine personnel effort and resources. We then compared the unit cost by arm, identified key cost drivers, and conducted sensitivity analyses for cost uncertainties. RESULTS: At base-case, the unit cost was $129.01 and $41.99, respectively, for HBCI and HIVST. Personnel comprised half of the unit cost for both arms. Staff spent more time on activities related to participant engagement in HBCI (accounting for 6.4% of the unit cost) than in HIVST (2.3%). Staff training was another key cost driver in HBCI (20.1% of the unit cost compared to 12.5% in HIVST). Sensitivity analyses revealed that the unit cost ranges were $104.64-$154.54 for HBCI and $30.49-$56.59 for HIVST. CONCLUSIONS: Our findings may guide spending decisions for future HIV prevention and treatment programs for pregnant couples in resource-limited settings such as Kenya.

Alcohol Use Severity among Hispanic Emerging Adults: Examining Intragroup Marginalization, Bicultural Self-Efficacy, and the Role of Gender within a Stress and Coping Framework.

Most research on cultural stressors and alcohol has focused on intercultural stressors. Continuing to exclude intracultural stressors (e.g., intragroup marginalization) from alcohol research will yield a biased understanding of the experiences of Hispanics living in a bicultural society. As we amass more studies on intracultural stressors, research will be needed to identify mutable sociocultural factors that may mitigate the association between intracultural stressors and alcohol. To address these limitations, we examined the association between intragroup marginalization and alcohol use severity and the extent to which gender and bicultural self-efficacy may moderate this association. A convenience sample of 200 Hispanic emerging adults ages 18-25 (men = 101, women = 99) from Arizona (n = 99) and Florida (n = 101) completed a cross-sectional survey. Data were analyzed using hierarchical multiple regression and moderation analyses. Higher intragroup marginalization was associated with higher alcohol use severity. Gender functioned as a moderator whereby intragroup marginalization was associated with higher alcohol use severity among men, but not women. Also, higher social groundedness functioned as a moderator that weakened the association between intragroup marginalization and alcohol use severity. Role repertoire did not function as a moderator. Our findings are significant because they enhance the reliability of the association between intragroup marginalization and alcohol use severity, and the moderating effect of gender in this respective association. This emerging line of research suggests that alcohol interventions targeting Hispanics may have a significant limitation by not accounting for intracultural stressors.

Nationwide geospatial analysis of county racial and ethnic composition and public drinking water arsenic and uranium.

There is no safe level of exposure to inorganic arsenic or uranium, yet recent studies identified sociodemographic and regional inequalities in concentrations of these frequently detected contaminants in public water systems across the US. We analyze the county-level association between racial/ethnic composition and public water arsenic and uranium concentrations from 2000-2011 using geospatial models. We find that higher proportions of Hispanic/Latino and American Indian/Alaskan Native residents are associated with significantly higher arsenic and uranium concentrations. These associations differ in magnitude and direction across regions; higher proportions of non-Hispanic Black residents are associated with higher arsenic and uranium in regions where concentrations of these contaminants are high. The findings from this nationwide geospatial analysis identifying racial/ethnic inequalities in arsenic and uranium concentrations in public drinking water across the US can advance environmental justice initiatives by informing regulatory action and financial and technical support to protect communities of color.

Cost-utility and cost-benefit analysis of TAVR availability in the US severe symptomatic aortic stenosis patient population.

AIMS: We evaluated the availability of transcatheter aortic valve replacement (TAVR) to determine its value across all severe symptomatic aortic stenosis (SSAS) patients, especially those untreated because of concerns regarding invasive surgical AVR (SAVR) and its impact on active aging. METHODS: We performed payer perspective cost-utility analysis (CUA) and societal perspective cost-benefit analysis (CBA). The CBA's benefit measure is active time: salaried labor, unpaid work, and active leisure. The study population is a cohort of US elderly SSAS patients. We compared a "TAVR available" scenario in which SSAS patients distribute themselves across TAVR, SAVR, and medical management (MM); and a "TAVR not available" scenario with only SAVR and MM. We structured each scenario with a decision-tree model of SSAS patient treatment allocation. We measured the association between health and active time in the US Health and Retirement Study and used this association to impute active time to SSAS patients given their health. RESULTS: The incremental cost-effectiveness ratio (ICER) and rate of return (RoR) of TAVR availability were $8,533 and 395%, respectively. CUA net monetary benefits (NMB) were $212,199 per patient and $43.4 billion population-wide. CBA NMB were $50,530 per patient and $10.3 billion population-wide. LIMITATIONS: Among study limitations were scarcity of evidence regarding key parameters and the lack of long-term survival, health utility, and treatment cost data. Our analysis did not account for TAVR durability, retreatments, and valve-in-valve treatments. CONCLUSION: Across risk-, age-, and treatment-eligibility groups, TAVR is the economically optimal treatment choice. It represents strong value-for-money per patient and population-wide. The vast majority of TAVR value involves raising treatment uptake among the untreated.

Aortic stenosis (AS) is a common and lethal heart disease. Surgical treatment has long been available, but its invasiveness limits uptake. More recently, transcatheter aortic valve replacement (TAVR) has emerged as a treatment alternative. Its minimal invasiveness has significantly increased treatment rates, but economic evaluations omit this benefit, risking undervaluation. We evaluated TAVR in elderly US severe symptomatic AS patients, using payer perspective cost-utility analysis (CUA) and societal perspective cost-benefit analysis (CBA). Both CUA and CBA incorporated TAVR's impact on treatment rates. Given patient preferences for treatment options promoting active aging, our CBA used the value of active time as a benefit measure. We found that CUA/CBA net monetary benefits are $212,199/$50,530 per patient. Across risk-, age-, and treatment-eligibility groups, TAVR is the economically optimal treatment choice over surgery and medical management. It represents strong value-for-money per patient and population-wide. Increased treatment uptake accounts for the vast share of TAVR's value.

Associations between social determinants of health and abdominal solid organ transplant wait-lists in the United States.

BACKGROUND: Societal factors that influence wait-listing for transplantation are complex and poorly understood. Social determinants of health (SDOH) affect rates of and outcomes after transplantation. METHODS: This cross-sectional study investigated the impact of SDOH on additions to state-level, 2017-2018 kidney and liver wait-lists. Principal components analysis, starting with 127 variables among 3142 counties, was used to derive novel, comprehensive state-level composites, designated (1) health/economics and (2) community capital/urbanicity. Stepwise multivariate linear regression with backwards elimination (n = 51; 50 states and DC) tested the effects of these composites, Medicaid expansion, and center density on adult disease burden-adjusted wait-list additions. RESULTS: SDOH related to increased community capital/urbanicity were independently associated with wait-listing (starting models: B = .40, P = .010 Kidney; B = .36, P = .038 Liver) (final models: B = .31, P = .027 Kidney, B = .34, P = .015 Liver). In contrast and surprisingly, no other covariates were associated with wait-listing (P ≥ .122). CONCLUSIONS: These results suggest that deficits in community resources are important contributors to disparities in wait-list access. Our composite SDOH metrics may help identify at-risk communities, which can be the focus of local and national policy initiatives to improve access to organ transplantation.

Reader Perceptions and Impact of AI on CT Assessment of Air Trapping.

Quantitative imaging measurements can be facilitated by artificial intelligence (AI) algorithms, but how they might impact decision-making and be perceived by radiologists remains uncertain. After creation of a dedicated inspiratory-expiratory CT examination and concurrent deployment of a quantitative AI algorithm for assessing air trapping, five cardiothoracic radiologists retrospectively evaluated severity of air trapping on 17 examination studies. Air trapping severity of each lobe was evaluated in three stages: qualitatively (visually); semiquantitatively, allowing manual region-of-interest measurements; and quantitatively, using results from an AI algorithm. Readers were surveyed on each case for their perceptions of the AI algorithm. The algorithm improved interreader agreement (intraclass correlation coefficients: visual, 0.28; semiquantitative, 0.40; quantitative, 0.84; P < .001) and improved correlation with pulmonary function testing (forced expiratory volume in 1 second-to-forced vital capacity ratio) (visual r = -0.26, semiquantitative r = -0.32, quantitative r = -0.44). Readers perceived moderate agreement with the AI algorithm (Likert scale average, 3.7 of 5), a mild impact on their final assessment (average, 2.6), and a neutral perception of overall utility (average, 3.5). Though the AI algorithm objectively improved interreader consistency and correlation with pulmonary function testing, individual readers did not immediately perceive this benefit, revealing a potential barrier to clinical adoption. Keywords: Technology Assessment, Quantification © RSNA, 2021.

Wage theft and life expectancy inequities in the United States: A simulation study.

Wage theft - employers not paying workers their legally entitled wages and benefits - costs workers billions of dollars annually. We tested whether preventing wage theft could increase U.S. life expectancy and decrease inequities therein. We obtained nationally representative estimates of the 2001-2014 association between income and expected age at death for 40-year-olds (40 plus life expectancy at age 40) compiled from tax and Social Security Administration records, and estimates of the burden of wage theft from several sources, including estimates regarding minimum-wage violations (not paying workers the minimum wage) developed from Current Population Survey data. After modeling the relationship between income and expected age at death, we simulated the effects of scenarios preventing wage theft on mean expected age at death, assuming a causal effect of income on expected age at death. We simulated several scenarios, including one using data suggesting minimum-wage violations constituted 38% of all wage theft and caused 58% of affected workers' losses. Among women in the lowest income decile, mean expected age at death was 0.17 years longer in the counterfactual scenario than observed (95% confidence interval [CI]: 0.11-0.22), corresponding to 528,685 (95% CI: 346,018-711,353) years extended in the total 2001-2014 age-40 population. Among men in the lowest decile, the estimates were 0.12 (95% CI: 0.07-0.17) and 380,502 (95% CI: 229,630-531,374). Moreover, among women, mean expected age at death in the counterfactual scenario increased 0.16 (95% CI: 0.06-0.27) years more among the lowest decile than among the highest decile; among men, the estimate was 0.12 (95% CI: 0.03-0.21).

Policing the pandemic: Estimating spatial and racialized inequities in New York City police enforcement of COVID-19 mandates.

The use of policing to enforce public health guidelines has historically produced harmful consequences, and early evidence from the police enforcement of COVID-19 mandates suggested Black New Yorkers were disproportionately represented in arrests. The over-policing of Black and low-income neighborhoods during a pandemic risks increased transmission, potentially exacerbating existing health inequities. To assess racialized and class-based inequities in the enforcement of COVID-19 mandates at the ZIP-code-level, we conducted a retrospective spatial analysis of demographic factors and public health policing in New York City from March 12-May 24, 2020. Policing outcomes (COVID-19 criminal court summonses and public health and nuisance arrests) were measured using publicly available police administrative data. After controlling for two measures of social distancing compliance, a standard deviation increase in percentage of Black residents was associated with a 73% increase (95% CI: 35%, 123%) in the COVID-19-specific summons rate and a 34% increase (95% CI: 17%, 53%) in the public health and nuisance arrest rate. Percentage of Black residents and historical stop-and-frisk rates had stronger associations with COVID-19 summons rates than multiple measures of social distancing compliance. Findings demonstrate pronounced spatial and racialized inequities in pandemic policing of public health that mimic historical policing practices deemed racially discriminatory. If the field of public health supports criminalization and punishment as public health strategies, it risks reinscribing racialized health inequities.

Contemporary Costs Associated With Transcatheter Versus Surgical Aortic Valve Replacement in Medicare Beneficiaries.

BACKGROUND: In patients with severe aortic stenosis, treatment with transcatheter aortic valve replacement (TAVR) has been shown to be cost-effective in the high-risk surgical population and cost-saving in the intermediate-risk population when compared with surgical aortic valve replacement (SAVR) in early pivotal clinical trials. Whether TAVR is associated with comparable or lower costs when compared with SAVR in contemporary clinical practice is unknown. METHODS: Using data from the Medicare Dataset Standard Analytic Files 5% Fee for Service database, patients receiving either TAVR or SAVR between 2016 and 2018 were identified. Patients were categorized as low, intermediate, or high mortality risk based on 2 validated indices-the Hospital Frailty Risk Score and the logEuroScore. Health care costs out to 1 year were compared between TAVR and SAVR among the low, intermediate, and high-risk groups, after adjustment for patient demographics. RESULTS: Nine thousand seven hundred forty-six patients were identified (4834 TAVR; 3760 SAVR) and included in the analysis. Patients receiving TAVR were older and more likely to be female. Index hospitalization costs were significantly lower with TAVR compared with SAVR across all risk strata (logEuroScore: low: $61 845 versus $68 986; intermediate: $64 658 versus $76 965; high: $65 594 versus $91 005; P<0.001 for all). Follow-up costs through 1 year were generally lower with TAVR and this difference was more pronounced in the low risk groups (logEuroScore: $9763 versus $14 073; Hospital Frailty Risk Score: $10 116 versus $12 880). Accordingly, cumulative 1-year costs were substantially lower with TAVR compared with SAVR. CONCLUSIONS: At 1 year, TAVR is associated with lower health care costs across all risk strata when compared with SAVR in contemporary practice. If long-term data continue to demonstrate similar clinical outcomes and valve durability with TAVR and SAVR, these findings suggest that TAVR may be the preferred treatment strategy for patients with aortic stenosis from an economic standpoint.

Free agents or cogs in the machine? Classed, gendered, and racialized inequities in hazardous working conditions.

INTRODUCTION: Few epidemiologic studies have used relational social class measures based on control over productive assets and others' labor to analyze inequities in health-affecting working conditions. Moreover, these studies have often neglected the gendered and racialized dimensions of class relations, dimensions which are essential to understanding population patterns of health inequities. Our study fills these gaps. METHODS: Using data from the 2002-2018 U.S. General Social Survey, we assigned respondents to the worker, manager, petit bourgeois, or capitalist classes based on their supervisory authority and self-employment status. Next, we estimated class, class-by-gender, and class-by-race inequities in compensation/safety, the labor process, control, and conflict, using Poisson models. We also estimated gender-by-race inequities among workers. RESULTS: We identified substantial class inequities, with worse conditions for workers, which is the largest class within genders and racialized groups, but also disproportionately consists of women and people of color (POC), particularly women of color (WOC). For example, relative to workers, capitalists were less likely to report that safety is not a priority (prevalence ratio [PR]: 0.41, 95% confidence interval [CI]: 0.21, 0.82), repetitive tasks (PR: 0.36, 95% CI: 0.21, 0.61), and lacking freedom (PR: 0.11, 95% CI: 0.05, 0.24). We also identified inequities among workers, with women and POC, particularly WOC, reporting worse conditions than white male workers, especially greater discrimination/harassment (WOC PR: 1.70, 95% CI: 1.36, 2.13). CONCLUSION: We identified substantial inequities in working conditions across intersecting classes, genders, and racialized groups. These inequities threaten workers' health, particularly among women and POC.

The Development, Preliminary Validation, and Clinical Application of the Quick Parenting Assessment.

To prevent diseases, efforts are needed to determine how to address Adverse Childhood Experiences (ACEs), including parenting behaviors. The objective of this study, conducted in Nashville TN in 2017, was to initiate testing the psychometric properties of two new Adverse Childhood Experiences (ACEs) screening tools, the Quick Parenting Assessment (QPA) and Other Childhood Stressors (OCS). In a clinic serving low-income families, caregivers of children ages 2-10 completed assessments of parenting (QPA), other stressors (OCS), child behavior problems ((Strength and Difficulties Questionnaire (SDQ)), and Attitudes Toward Spanking (ATS). The QPA takes 1 min to complete and assesses for healthy and unhealthy parenting behaviors. Seventy-five percent of eligible participants completed the survey (N=558). A reduced 10-item QPA yielded a Cronbach's alpha of 0.79 and, in 4-10-year-olds, was associated with high SDQ conduct, hyperactivity, and total difficulties scores (r=0.44, 0.48, and 0.47; all p< 0.001). Children with QPAs of >4 were nine times more likely than those children with scores of ≤2 to have behavior problems (OR=8.93, 95% CI = 3.74-21.32). Elevated QPAs were associated with the ATS (r=0.47, p < .001). The OCS was also associated with high SDQ total difficulties scores (r=0.28, p< 0.001). Two pediatric ACEs screening tools, the QPA and the OCS, have promising psychometric properties. The findings suggest that parenting behaviors may play an outsized role in the pathogenesis of outcomes associated with ACEs. We discuss the clinical application of QPA at our institution and the theoretical potential for this instrument to reduce the rates of short- and long-term health problems.