Not All Champions Are Allies in Health Disparities Research.

Responsible health disparities research requires a multifaceted approach to address genetic, biological, socioeconomic, and lifestyle contributors to disease. For researchers dedicated to the cause, thorough experimental standards at the bench, in the clinic, and within the community must prioritize adequate representation and cultural competency. Not everyone is up for the challenge.

Time to add screening for financial hardship as a quality measure?

Cancer treatment is associated with financial hardship for many patients and families. Screening for financial hardship and referrals to appropriate resources for mitigation are not currently part of most clinical practices. In fact, discussions regarding the cost of treatment occur infrequently in clinical practice. As the cost of cancer treatment continues to rise, the need to mitigate adverse consequences of financial hardship grows more urgent. The introduction of quality measurement and reporting has been successful in establishing standards of care, reducing disparities in receipt of care, and improving other aspects of cancer care outcomes within and across providers. The authors propose the development and adoption of financial hardship screening and management as an additional quality metric for oncology practices. They suggest relevant stakeholders, conveners, and approaches for developing, testing, and implementing a screening and management tool and advocate for endorsement by organizations such as the National Quality Forum and professional societies for oncology care clinicians. The confluence of increasingly high-cost care and widening disparities in ability to pay because of underinsurance and lack of health insurance coverage makes a strong argument to take steps to mitigate the financial consequences of cancer.

Caregivers' and providers' perspectives of social and medical care after pediatric liver transplant: Results from the multicenter SOCIAL-Tx study.

Disparities exist in pediatric liver transplant (LT). We characterized barriers and facilitators to providing transplant and social care within pediatric LT clinics. This was a multicenter qualitative study. We oversampled caregivers reporting household financial strain, material economic hardship, or demonstrating poor health literacy. We also enrolled transplant team members. We conducted semistructured interviews with participants. Caregiver interviews focused on challenges addressing transplant and household needs. Transplant provider interviews focused on barriers and facilitators to providing social care within transplant teams. Interviews were recorded, transcribed, and coded according to the Capability, Opportunity, Motivation-Behavior model. We interviewed 27 caregivers and 27 transplant team members. Fifty-two percent of caregivers reported a household income <$60,000, and 62% reported financial resource strain. Caregivers reported experiencing (1) high financial burdens after LT, (2) added caregiving labor that compounds the financial burden, (3) dependency on their social network's generosity for financial and logistical support, and (4) additional support being limited to the perioperative period. Transplant providers reported (1) relying on the pretransplant psychosocial assessment for identifying social risks, (2) discomfort initiating social risk discussions in the post-transplant period, (3) reliance on social workers to address new social risks, and (4) social workers feeling overburdened by quantity and quality of the social work referrals. We identified barriers to providing effective social care in pediatric LT, primarily a lack of comfort in assessing and addressing new social risks in the post-transplant period. Addressing these barriers should enhance social care delivery and improve outcomes for these children.

State Department of Health's Equitable Funding Allocation Methodology to Address COVID-19 Health Disparities Among High-Risk and Underserved Populations.

The Washington State Department of Health developed an equitable funding allocation methodology incorporating quantitative and qualitative decision-making components. We describe the methodology and an implementation evaluation performed by an external evaluation team using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) evaluation framework. The evaluation team concluded that the methodology was developed in a way that used a racial equity lens and prioritized intersectionalities in the communities that the funding was intended to serve. (Am J Public Health. 2024;114(S7):S575-S579. https://doi.org/10.2105/AJPH.2024.307833).

Low Socioeconomic Status is Associated With Higher In-Hospital Mortality in Stanford Type A Aortic Dissection Repair: A Population Study of National Inpatient Sample From 2015 to 2020.

INTRODUCTION: Stanford Type A Aortic Dissection (TAAD) is characterized by a high in-hospital mortality rate and necessitates urgent surgical intervention. While socioeconomic status is known to influence health-care outcomes, its specific association with TAAD remains underexplored. This study aimed to investigate the population-based association between socioeconomic status with TAAD repair outcomes using a national registry. METHODS: Patients who had TAAD repair were identified in National Inpatient Sample from Q4 2015-2020. National Inpatient Sample stratified estimated median household income of residents within a patient's ZIP code. Patients residing in neighborhoods of incomes in the lowest and highest quartiles were selected as the study cohorts. Multivariable logistic regressions were used to compare in-hospital outcomes, adjusted for demographics, comorbid conditions, hospital characteristics, primary payer status, and transfer status. RESULTS: Compared to patients from high-income neighborhoods, patients in low-income communities had higher risks of mortality (adjusted odds ratio [aOR] 1.45, P = 0.01), acute kidney injury (aOR 1.225, P = 0.03), and infection (aOR 1.474, P = 0.02), as well as longer wait from admission to operation (24.96 ± 2.64 versus 18.00 ± 1.92 h, P = 0.03) and longer length of stay (15.06 ± 0.38 versus 13.80 ± 0.36 d, P = 0.01). In contrast, patients from low-income communities had less risk of hemorrhage/hematoma (aOR 0.691, P < 0.01) and lower total hospital charge (428,746 ± 10,658 versus 487,017 ± 16,770 US dollars, P < 0.01). CONCLUSIONS: Evidence suggests patients from lower-income communities may have limited access to health care and treatment delays, leading to higher mortality and complications. The underlying reasons for these disparities in economically disadvantaged communities warrant further investigation, which could focus on health-care accessibility, timely detection of TAAD, and prompt transfers to specialized centers.

Racial Inequalities in the Initial Management of Congenital Diaphragmatic Hernia in the Houston Area.

INTRODUCTION: Congenital diaphragmatic hernia (CDH) is readily prenatally diagnosed and associated with significant perinatal morbidity and mortality. Delivery at facilities with adequate resources for neonatal resuscitation, such as Children's Surgery Verification (CSV) centers, is recommended; however, disparities have been clinically noted. We aimed to characterize locoregional care of CDH and the impact of race and ethnicity. METHODS: We conducted a population-based study using the Texas Inpatient Public Use Data File to identify infants <1 y-old with CDH based on international classification of diseases 9/10 codes (2013-2021). Only initial birth admissions in the Houston region were included. Data was analyzed using descriptive statistics and chi-squared analysis. RESULTS: We identified 257 newborns with CDH. While births were noted across 29 facilities, the majority were at the 2 CSV centers in Houston. There was no significant difference in illness severity, prematurity or insurance status by race. Black and 'other' patients were less likely to deliver at CSV facilities (Black 32% versus 'Other' 48% versus White 70% versus Asian 81%; P < 0.01), receive ECMO (Black 6% versus 'Other' 5% versus White 19% versus Asian 29%; P < 0.01) or undergo a CDH repair (Black 26% versus 'Other' 33% versus White 51% versus Asian 71%; P < 0.01) on their index admission and had lower average daily costs (Black $10,292 [$3219-25,021] versus 'Other' $9106 [$3617-15,672] versus White $12,906 [$9038-18,550] versus Asian $12,896 [$7469-23,817]; P < 0.05). Additionally, black and 'other' patients were more likely to be transferred (Black 23% versus 'Other' 28% versus White 12% versus Asian 14%; P < 0.05). None of the patients born at CSV centers transferred. CONCLUSIONS: Most Houston-born patients deliver at high-resource centers; however, Black and 'other' patients are less likely to deliver at CSV centers and more likely to require transfer during the critical neonatal period. This suggests a vulnerable population which may benefit from targeted intervention to improve prenatal care and delivery planning.

Maryland's Global Budget Revenue Program and Equitable Access to Esophagectomy for Esophageal Cancer.

INTRODUCTION: We evaluated equity in access to esophagectomy after Maryland's 2014 "Global Budget Revenue" (GBR) implementation, which equalizes reimbursement rates irrespective of patient insurance and employs an annual hospital revenue ceiling to incentivize reductions in unnecessary resource utilization. We hypothesized that more traditionally underserved patients would undergo surgical treatment for esophageal cancers after GBR. METHODS: Using Maryland's Health Services Cost Review Commission database, we retrospectively analyzed patient demographics, insurance statuses, inflation-adjusted hospital charges, postoperative outcomes, and discharge dispositions for esophagectomies for neoplasms between 2012 and 2018. RESULTS: Four hundred eighty six patients were included: 22.0% (107) pre-GBR and 78.0% (379) post-GBR. The proportion of African-American patients increased post-GBR (5.6% versus 12.9%, P = 0.035) and subsequently exhibited year-over-year increases. While not statistically significant, the proportion of Medicaid patients increased from 4.7% to 10.0% (P = 0.085). The post-GBR era also saw patients from 10 new counties, six of which were in Maryland's bottom half of counties ranked by median household income, receive operative esophageal cancer treatment without losing representation from pre-GBR counties. Patient age and sex were comparable between the two groups, and there were no significant differences in mortality or 30-day readmissions. Inflation-adjusted hospital charges and length of hospital stay did not appreciably change post-GBR, including after adjusting for age, comorbidities, and surgical approach. CONCLUSIONS: GBR increased access to esophagectomy for African-Americans, those insured by Medicaid, and those from lower socioeconomic status counties. Contrary to prior studies of outpatient and emergency room settings, we found the GBR program's goal of reduction of resource utilization and cost were not apparent in this complex surgical population.

Pneumococcal Vaccination Strategies in 50-Year-Olds to Decrease Racial Disparities: A US Societal Perspective Cost-Effectiveness Analysis.

OBJECTIVES: This study assesses the impact of expanding pneumococcal vaccination to all 50-year-olds to decrease racial disparities by estimating from the societal perspective, the cost-effectiveness of 20-valent pneumococcal conjugate vaccine (PCV20) and 15-valent conjugate vaccine followed by 23-valent polysaccharide vaccine (PCV15/PPSV23) for 50-year-olds. METHODS: A Markov model compared the cost-effectiveness of PCV20 or PCV15/PPSV23 in all general population 50- and 65-years-olds compared with current US recommendations and with no vaccination in US Black and non-Black cohorts. US data informed model parameters. Pneumococcal disease societal costs were estimated using direct and indirect costs of acute illness and of pneumococcal-related long-term disability and mortality. Hypothetical 50-year-old cohorts were followed over their lifetimes with costs and effectiveness discounted 3% per year. Deterministic and probabilistic sensitivity analyses assessed model uncertainty. RESULTS: In Black cohorts, PCV20 for all at ages 50 and 65 was the least costly strategy and had greater effectiveness than no vaccination and current recommendation strategies, whereas PCV15/PPSV23 at 50 and 65 cost more than $1 million per quality-adjusted life year (QALY) gained compared with PCV20 at 50 and 65. In non-Black cohorts, PCV20 at 50 and 65 cost $62 083/QALY and PCV15/PPSV23 at 50 and 65 cost more than $1 million/QALY with current recommendations, again being more costly and less effective. In probabilistic sensitivity analyses, PCV20 at 50 and 65 was favored in 85.7% (Black) and 61.8% (non-Black) of model iterations at a $100 000/QALY gained willingness-to-pay threshold. CONCLUSIONS: When considering the societal costs of pneumococcal disease, PCV20 at ages 50 and 65 years in the general US population is a potentially economically viable strategy, particularly in Black cohorts.

Multilevel medical insurance mitigate health cost inequality due to air pollution: Evidence from China.

BACKGROUND: Air pollution affects residents' health to varying extents according to differences in socioeconomic status. However, there has been a lack of research on whether air pollution contributes to unfair health costs. METHODS: In this research, data from the China Labour Force Dynamics Survey are matched with data on PM2.5 average concentration and precipitation, and the influence of air pollution on the health expenditures of residents is analysed with econometric methods involving a two-part model, instrument variables and moderating effects. RESULTS: The findings reveal that air pollution significantly impacts Chinese residents' health costs and leads to low-income people face health inequality. Specifcally, the empirical evidence shows that air pollution has no significant influence on the probability of residents' health costs (ß = 0.021, p = 0.770) but that it increases the amount of residents' total outpatient costs (ß = 0.379, p < 0.006), reimbursed outpatient cost (ß = 0.453, p < 0.044) and out-of-pocket outpatient cost (ß = 0.362, p < 0.048). The heterogeneity analysis of income indicates that low-income people face inequality due to health cost inflation caused by air pollution, their total and out-of-pocket outpatient cost significantly increase with PM2.5 (ß = 0.417, p = 0.013; ß = 0.491, p = 0.020). Further analysis reveals that social basic medical insurance does not have a remarkable positive moderating effect on the influence of air pollution on individual health inflation (ß = 0.021, p = 0.292), but supplementary medical insurance for employees could reduce the effect of air pollution on low-income residents' reimbursed and out-of-pocket outpatient cost (ß=-1.331, p = 0.096; ß=-2.211, p = 0.014). CONCLUSION: The study concludes that air pollution increases the amount of Chinese residents' outpatient cost and has no significant effect on the incidence of outpatient cost. However, air pollution has more significant impact on the low-income residents than the high-income residents, which indicates that air pollution leads to the inequity of medical cost. Additionally, the supplementary medical insurance reduces the inequity of medical cost caused by air pollution for the low-income employees.

Revisiting a decade of inequality in healthcare financial burden in Cambodia, 2009-19: trends, determinants and decomposition.

BACKGROUND: Out-of-pocket healthcare expenditure (OOPHE) without adequate social protection often translates to inequitable financial burden and utilization of services. Recent publications highlighted Cambodia's progress towards Universal Health Coverage (UHC) with reduced incidence of catastrophic health expenditure (CHE) and improvements in its distribution. However, departing from standard CHE measurement methods suggests a different storyline on trends and inequality in the country. OBJECTIVE: This study revisits the distribution and impact of OOPHE and its financial burden from 2009-19, employing alternative socio-economic and economic shock metrics. It also identifies determinants of the financial burden and evaluates inequality-contributing and -mitigating factors from 2014-19, including coping mechanisms, free healthcare, and OOPHE financing sources. METHODS: Data from the Cambodian Socio-Economic Surveys of 2009, 2014, and 2019 were utilized. An alternative measure to CHE is proposed: Excessive financial burden (EFB). A household was considered under EFB when its OOPHE surpassed 10% or 25% of total consumption, excluding healthcare costs. A polychoric wealth index was used to rank households and measure EFB inequality using the Erreygers Concentration Index. Inequality shifts from 2014-19 were decomposed using the Recentered Influence Function regression followed by the Oaxaca-Blinder method. Determinants of financial burden levels were assessed through zero-inflated ordered logit regression. RESULTS: Between 2009-19, EFB incidence increased from 10.95% to 17.92% at the 10% threshold, and from 4.41% to 7.29% at the 25% threshold. EFB was systematically concentrated among the poorest households, with inequality sharply rising over time, and nearly a quarter of the poorest households facing EFB at the 10% threshold. The main determinants of financial burden were geographic location, household size, age and education of household head, social health protection coverage, disease prevalence, hospitalization, and coping strategies. Urbanization, biased disease burdens, and preventive care were key in explaining the evolution of inequality. CONCLUSION: More efforts are needed to expand social protection, but monitoring those through standard measures such as CHE has masked inequality and the burden of the poor. The financial burden across the population has risen and become more unequal over the past decade despite expansion and improvements in social health protection schemes. Health Equity funds have, to some extent, mitigated inequality over time. However, their slow expansion and the reduced reliance on coping strategies to finance OOPHE could not outbalance inequality.

Disparities in healthcare-seeking behaviors and associated costs between Venezuelan migrants and Colombians residing in Colombia.

BACKGROUND: Colombia, which hosts over 3 million of the Venezuelan diaspora, is lauded for its progressive approach to social integration, including providing migrants access to its universal health coverage system. However, barriers to healthcare persist for both migrant and host populations, with poorly understood disparities in healthcare-seeking behaviors and associated costs. This is the first study to link healthcare-seeking behaviors with costs for Venezuelan migrants in Colombia, encompassing costs of missing work or usual activities due to healthcare events. METHODS: We use self-reported survey data from Venezuelan migrants and Colombians living in Colombia (September-November 2020) to compare healthcare-seeking behaviors and cost variables by nationality using two-sampled t-tests or Chi-square tests (X2). The International Classification of Diseases was used to compare reported household illnesses for both populations. Average health service direct costs were estimated using the Colombian Government's Suficiencia database and self-reported out-of-pocket (OOP) payments for laboratory and pharmacy services. Indirect costs were calculated by multiplying self-reported days of missed work or usual activities with estimated income levels, derived by matching characteristics using the Gran Enquesta Integrada de Hogares database. We calculate economic burdens for both populations, combining self-reported healthcare-seeking behaviors and estimated healthcare service unit costs across six healthcare-seeking behavior categories. RESULTS: Despite similar disease profiles, Venezuelan migrants are 21.3% more likely to forego formal care than Colombians, with 746.3% more Venezuelans reporting lack of health insurance as their primary reason. Venezuelan women and uninsured report the greatest difficulties in accessing health services, with accessing medications becoming more difficult for Venezuelan women during the COVID-19 pandemic. Colombians cost the health system more per treated illness event (US$40) than Venezuelans (US$26) in our sample, over a thirty-day period. Venezuelans incur higher costs for emergency department visits (123.5% more) and laboratory/ pharmacy OOP payments (24.7% more). CONCLUSIONS: While Colombians and Venezuelans share similar disease burdens, significant differences exist in access, cost, and health-seeking behaviors. Increasing Venezuelan health insurance enrollment and tackling accessibility barriers are crucial for ensuring healthcare equity and effectively integrating the migrant population. Findings suggest that improving migrant access to primary healthcare would produce savings in Colombian healthcare expenditures.

Disparities in State Medicaid Coverage of Tretinoin for Pigmentary Disorders Compared to Acne Vulgaris.

BACKGROUND: Melasma and post-inflammatory hyperpigmentation (PIH) are common cosmetic dermatologic conditions that predominantly affect patients with skin phototypes III-VI. Comparing treatment coverage for these pigmentary disorders to treatment coverage for acne vulgaris may demonstrate disparities in insurance coverage for diseases that primarily affect patients of color. OBJECTIVE: Describe differences in Medicaid coverage for topical tretinoin for melasma and PIH vs. acne vulgaris in all 50 states and the District of Columbia. METHODS: This is a cross-sectional study of Medicaid insurance plans in all 50 states and the District of Columbia conducted between February 1 and 28, 2023. Data was collected from online publicly available preferred drug lists, prior authorization criteria, and email/telephone inquiries. Information was collected regarding coverage restrictions, including age restrictions, diagnostic restrictions, preferred drug status, and prior authorization requirements. RESULTS: Complete coverage data for all three clinical indications was retrieved from 30 (58.8%) states; partial coverage data for acne vulgaris was retrieved from 16 (31.4%) states; no coverage data was retrieved from 5 (9.8%) states. Of states reporting coverage data, topical tretinoin is covered in 45 (97.8%) states for acne vulgaris and 10 (33.3%) states for melasma and post-inflammatory hyperpigmentation. There was decreased Medicaid coverage of topical tretinoin for acne vulgaris compared to melasma and PIH (P<0.05).  Conclusion: There is differential Medicaid coverage for acne vulgaris compared to pigmentary disorders which disproportionately affect patients of color. Greater advocacy is required to ensure equal treatment for conditions that affect racial minority patients. J Drugs Dermatol. 2024;23(6):e151-e153.     doi:10.36849/JDD.8069e  .

Decomposing socioeconomic inequality in household out of pocket health expenditures in Pakistan (2010-11-2018-19).

BACKGROUND: The increased socioeconomic inequality in catastrophic health expenditure (CHE) disproportionately affects disadvantaged populations, subjecting them to financial hardships, limiting their access to healthcare, and exacerbating their vulnerability to morbidity. OBJECTIVES: This study examines changes in socioeconomic inequality related to CHE and analyzes the contributing factors responsible for these changes in Pakistan between 2010-11 and 2018-19. METHODS: This paper extracted the data on out-of-pocket health expenditures from the National Health Accounts for 2009-10 and 2017-18. Sociodemographic information was gathered from the Household Integrated Economic Surveys of 2010-11 and 2018-19. CHE was calculated using budget share and the ability-to-pay approaches. To assess socioeconomic inequality in CHE in 2010-11 and 2018-19, both generalized and standard concentration indices were used, and Wagstaff inequality decomposition analysis was employed to explore the causes of socioeconomic inequality in each year. Further, an Oaxaca-type decomposition was applied to assess changes in socioeconomic inequality in CHE over time. RESULTS: The concentration index reveals that socioeconomic inequality in CHE decreased in 2018-19 compared to 2010-11 in Pakistan. Despite the reduction in inequality, CHE was concentrated among the poor in Pakistan in 2010-11 and 2018-19. The inequality decomposition analysis revealed that wealth status was the main cause of inequality in CHE over time. The upper wealth quantiles indicated a positive contribution, whereas lower quantiles showed a negative contribution to inequality in CHE. Furthermore, urban residence contributed to pro-rich inequality, whereas employed household heads, private healthcare provider, and inpatient healthcare utilization contributed to pro-poor inequality. A noticeable decline in socioeconomic inequality in CHE was observed between 2010 and 2018. However, inequality remained predominantly concentrated among the lower socio-economic strata. CONCLUSION: These results underscore the need to improve the outreach of subsidized healthcare and expand social safety nets.

Disparities in healthcare costs of people experiencing homelessness in Toronto, Canada in the post COVID-19 pandemic era: a matched cohort study.

BACKGROUND: Evidence is limited about healthcare cost disparities associated with homelessness, particularly in recent years after major policy and resource changes affecting people experiencing homelessness occurred after the onset of the COVID-19 pandemic. We estimated 1-year healthcare expenditures, overall and by type of service, among a representative sample of people experiencing homelessness in Toronto, Canada, in 2021 and 2022, and compared these to costs among matched housed and low-income housed individuals. METHODS: Data from individuals experiencing homelessness participating in the Ku-gaa-gii pimitizi-win cohort study were linked with Ontario health administrative databases. Participants (n = 640) were matched 1:5 by age, sex-assigned-at-birth and index month to presumed housed individuals (n = 3,200) and to low-income presumed housed individuals (n = 3,200). Groups were followed over 1 year to ascertain healthcare expenditures, overall and by healthcare type. Generalized linear models were used to assess unadjusted and adjusted mean cost ratios between groups. RESULTS: Average 1-year costs were $12,209 (95% CI $9,762-$14,656) among participants experiencing homelessness compared to $1,769 ($1,453-$2,085) and $1,912 ($1,510-$2,314) among housed and low-income housed individuals. Participants experiencing homelessness had nearly seven times (6.90 [95% confidence interval [CI] 5.98-7.97]) the unadjusted mean ratio (MR) of costs as compared to housed persons. After adjustment for number of comorbidities and history of healthcare for mental health and substance use disorders, participants experiencing homelessness had nearly six times (adjusted MR 5.79 [95% CI 4.13-8.12]) the expected healthcare costs of housed individuals. The two housed groups had similar costs. CONCLUSIONS: Homelessness is associated with substantial excess healthcare costs. Programs to quickly resolve and prevent cases of homelessness are likely to better meet the health and healthcare needs of this population while being a more efficient use of public resources.

Geographic Disparities and Payment Variation for Immediate Lymphatic Reconstruction in Massachusetts.

BACKGROUND: Little is known about practice patterns and payments for immediate lymphatic reconstruction (ILR). This study aims to evaluate trends in ILR delivery and billing practices. METHODS: We queried the Massachusetts All-Payer Claims Database between 2016 and 2020 for patients who underwent lumpectomy or mastectomy with axillary lymph node dissection for oncologic indications. We further identified patients who underwent lymphovenous bypass on the same date as tumor resection. We used ZIP code data to analyze the geographic distribution of ILR procedures and calculated physician payments for these procedures, adjusting for inflation. We used multivariable logistic regression to identify variables, which predicted receipt of ILR. RESULTS: In total, 2862 patients underwent axillary lymph node dissection over the study period. Of these, 53 patients underwent ILR. Patients who underwent ILR were younger (55.1 vs 59.3 years, P = 0.023). There were no significant differences in obesity, diabetes, or smoking history between the two groups. A greater percentage of patients who underwent ILR had radiation (83% vs 67%, P = 0.027). In multivariable regression, patients residing in a county neighboring Boston had 3.32-fold higher odds of undergoing ILR (95% confidence interval: 1.76-6.25; P < 0.001), while obesity, radiation therapy, and taxane-based chemotherapy were not significant predictors. Payments for ILR varied widely. CONCLUSIONS: In Massachusetts, patients were more likely to undergo ILR if they resided near Boston. Thus, many patients with the highest known risk for breast cancer-related lymphedema may face barriers accessing ILR. Greater awareness about referring high-risk patients to plastic surgeons is needed.

The Utility of the Social Vulnerability Index as a Proxy for Social Disparities Following Total Knee Arthroplasty.

BACKGROUND: In 2021, alternative payment models accounted for 40% of traditional Medicare reimbursements. As such, we sought to examine health disparities through a standardized categorization of social disparity using the social vulnerability index (SVI). We examined (1) risk factors for SVI ≥ 0.50, (2) incidences of complications, and (3) risk factors for total complications between patients who have SVI < 0.50 and SVI ≥ 0.50 who had a total knee arthroplasty (TKA). METHODS: Patients who underwent TKA between January 1, 2022 and December 31, 2022 were identified in the state of Maryland. A total of 4,952 patients who had complete social determinants of health data were included. Patients were divided into 2 cohorts according to SVI: < 0.50 (n = 2,431) and ≥ 0.50 (n = 2,521) based on the national mean SVI of 0.50. The SVI identifies communities that may need support caused by external stresses on human health based on 4 themed scores: socioeconomic status, household composition and disability, minority status and language, and housing and transportation. The SVI theme of household composition and disability encompassed patients aged 65 years and more, patients aged 17 years and less, civilians who have a disability, single-parent households, and English language deficiencies. The higher the SVI, the more social vulnerability or resources are needed to thrive in a geographic area. RESULTS: When controlling for risk factors and patient comorbidities, the theme of household composition and disability (odds ratio 2.0, 95% confidence interval 1.1 to 5.0, P = .03) was the only independent risk factor for total complications. Patients who had an SVI ≥0.50 were more likely to be women (65.8% versus 61.0%, P < .001), Black (34.4% versus 12.9%, P < .001), and have a median household income < $87,999 (21.3% versus 10.2%, P < .001) in comparison to the patients who had an SVI < 0.50, respectively. CONCLUSIONS: The SVI theme of household composition and disability, encompassing patients aged 65 years and more, patients aged 17 years and less, civilians who have a disability, single-parent households, and English language deficiencies, were independent risk factors for total complications following TKA. Together, these findings offer opportunities for interventions with selected patients to address social disparities.

Are local public expenditure reductions associated with increases in inequality in emergency hospitalisation? Time-series analysis of English local authorities from 2010 to 2017.

BACKGROUND: Reductions in local government funding implemented in 2010 due to austerity policies have been associated with worsening socioeconomic inequalities in mortality. Less is known about the relationship of these reductions with healthcare inequalities; therefore, we investigated whether areas with greater reductions in local government funding had greater increases in socioeconomic inequalities in emergency admissions. METHODS: We examined inequalities between English local authority districts (LADs) using a fixed-effects linear regression to estimate the association between LAD expenditure reductions, their level of deprivation using the Index of Multiple Deprivation (IMD) and average rates of (all and avoidable) emergency admissions for the years 2010-2017. We also examined changes in inequalities in emergency admissions using the Absolute Gradient Index (AGI), which is the modelled gap between the most and least deprived neighbourhoods in an area. RESULTS: LADs within the most deprived IMD quintile had larger pounds per capita expenditure reductions, higher rates of all and avoidable emergency admissions, and greater between-neighbourhood inequalities in admissions. However, expenditure reductions were only associated with increasing average rates of all and avoidable emergency admissions and inequalities between neighbourhoods in local authorities in England's three least deprived IMD quintiles. For a LAD in the least deprived IMD quintile, a yearly reduction of £100 per capita in total expenditure was associated with a yearly increase of 47 (95% CI 22 to 73) avoidable admissions, 142 (95% CI 70 to 213) all-cause emergency admissions and a yearly increase in inequalities between neighbourhoods of 48 (95% CI 14 to 81) avoidable and 140 (95% CI 60 to 220) all-cause emergency admissions. In 2017, a LAD average population was ~170 000. CONCLUSION: Austerity policies implemented in 2010 impacted less deprived local authorities, where emergency admissions and inequalities between neighbourhoods increased, while in the most deprived areas, emergency admissions were unchanged, remaining high and persistent.

Measuring Equity in Readmission as a Distinct Assessment of Hospital Performance.

Importance: Equity is an essential domain of health care quality. The Centers for Medicare & Medicaid Services (CMS) developed 2 Disparity Methods that together assess equity in clinical outcomes. Objectives: To define a measure of equitable readmissions; identify hospitals with equitable readmissions by insurance (dual eligible vs non-dual eligible) or patient race (Black vs White); and compare hospitals with and without equitable readmissions by hospital characteristics and performance on accountability measures (quality, cost, and value). Design, Setting, and Participants: Cross-sectional study of US hospitals eligible for the CMS Hospital-Wide Readmission measure using Medicare data from July 2018 through June 2019. Main Outcomes and Measures: We created a definition of equitable readmissions using CMS Disparity Methods, which evaluate hospitals on 2 methods: outcomes for populations at risk for disparities (across-hospital method); and disparities in care within hospitals' patient populations (within-a-single-hospital method). Exposures: Hospital patient demographics; hospital characteristics; and 3 measures of hospital performance-quality, cost, and value (quality relative to cost). Results: Of 4638 hospitals, 74% served a sufficient number of dual-eligible patients, and 42% served a sufficient number of Black patients to apply CMS Disparity Methods by insurance and race. Of eligible hospitals, 17% had equitable readmission rates by insurance and 30% by race. Hospitals with equitable readmissions by insurance or race cared for a lower percentage of Black patients (insurance, 1.9% [IQR, 0.2%-8.8%] vs 3.3% [IQR, 0.7%-10.8%], P < .01; race, 7.6% [IQR, 3.2%-16.6%] vs 9.3% [IQR, 4.0%-19.0%], P = .01), and differed from nonequitable hospitals in multiple domains (teaching status, geography, size; P < .01). In examining equity by insurance, hospitals with low costs were more likely to have equitable readmissions (odds ratio, 1.57 [95% CI, 1.38-1.77), and there was no relationship between quality and value, and equity. In examining equity by race, hospitals with high overall quality were more likely to have equitable readmissions (odds ratio, 1.14 [95% CI, 1.03-1.26]), and there was no relationship between cost and value, and equity. Conclusion and Relevance: A minority of hospitals achieved equitable readmissions. Notably, hospitals with equitable readmissions were characteristically different from those without. For example, hospitals with equitable readmissions served fewer Black patients, reinforcing the role of structural racism in hospital-level inequities. Implementation of an equitable readmission measure must consider unequal distribution of at-risk patients among hospitals.