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.

Social Risk and Dialysis Facility Performance in the First Year of the ESRD Treatment Choices Model.

Importance: The End-Stage Renal Disease Treatment Choices (ETC) model randomly selected 30% of US dialysis facilities to receive financial incentives based on their use of home dialysis, kidney transplant waitlisting, or transplant receipt. Facilities that disproportionately serve populations with high social risk have a lower use of home dialysis and kidney transplant raising concerns that these sites may fare poorly in the payment model. Objective: To examine first-year ETC model performance scores and financial penalties across dialysis facilities, stratified by their incident patients' social risk. Design, Setting, and Participants: A cross-sectional study of 2191 US dialysis facilities that participated in the ETC model from January 1 through December 31, 2021. Exposure: Composition of incident patient population, characterized by the proportion of patients who were non-Hispanic Black, Hispanic, living in a highly disadvantaged neighborhood, uninsured, or covered by Medicaid at dialysis initiation. A facility-level composite social risk score assessed whether each facility was in the highest quintile of having 0, 1, or at least 2 of these characteristics. Main Outcomes and Measures: Use of home dialysis, waitlisting, or transplant; model performance score; and financial penalization. Results: Using data from 125 984 incident patients (median age, 65 years [IQR, 54-74]; 41.8% female; 28.6% Black; 11.7% Hispanic), 1071 dialysis facilities (48.9%) had no social risk features, and 491 (22.4%) had 2 or more. In the first year of the ETC model, compared with those with no social risk features, dialysis facilities with 2 or more had lower mean performance scores (3.4 vs 3.6, P = .002) and lower use of home dialysis (14.1% vs 16.0%, P < .001). These facilities had higher receipt of financial penalties (18.5% vs 11.5%, P < .001), more frequently had the highest payment cut of 5% (2.4% vs 0.7%; P = .003), and were less likely to achieve the highest bonus of 4% (0% vs 2.7%; P < .001). Compared with all other facilities, those in the highest quintile of treating uninsured patients or those covered by Medicaid experienced more financial penalties (17.4% vs 12.9%, P = .01) as did those in the highest quintile in the proportion of patients who were Black (18.5% vs 12.6%, P = .001). Conclusions: In the first year of the Centers for Medicare & Medicaid Services' ETC model, dialysis facilities serving higher proportions of patients with social risk features had lower performance scores and experienced markedly higher receipt of financial penalties.

Sociodemographic inequities in unscheduled asthma care visits among public assistance recipients in Japan: additional risk by household composition among workers.

BACKGROUND: Public assistance programs aim to prevent financial poverty by guaranteeing a minimum income for basic needs, including medical care. However, time poverty also matters, especially in the medical care adherence of people with chronic diseases. This study aimed to examine the association between the dual burden of working and household responsibilities, with unscheduled asthma care visits among public assistance recipients in Japan. METHODS: This retrospective cohort study included public assistance recipients from two municipalities. We obtained participants' sociodemographic data in January 2016 from the public assistance database and identified the incidence of asthma care visits. Participants' unscheduled asthma visits and the frequency of asthma visits were used as the outcome variables. Unscheduled visits were defined as visits by recipients who did not receive asthma care during the first three months of the observation period. Participants' age, sex, household composition, and work status were used as explanatory variables. Multiple Poisson regression analyses were performed to calculate the cumulative incidence ratio (IR) with a 95% confidence interval (CI) of unscheduled visits across the explanatory variables. The effect of modification on the work status by household composition was also examined. RESULTS: We identified 2,386 recipients at risk of having unscheduled visits, among which 121 patients (5.1%) had unscheduled visits. The multivariable Poisson regression revealed that the working recipients had a higher incidence of unscheduled visits than the non-working recipients (IR 1.44, 95% CI 1.00-2.07). Among working recipients, the IRs of unscheduled visits were higher among recipients cohabiting with adults (IR 1.90 95% CI 1.00-3.59) and with children (IR 2.35, 95% CI 1.11-4.95) than for recipients living alone. Among non-working recipients, the IRs of unscheduled visits were lower for recipients living with family (IR 0.74, 95% CI 0.41-1.35) and those living with children (IR 0.50, 95% CI 0.20-1.23). A higher frequency in asthma visits was observed among working recipients living with family. CONCLUSIONS: Working adults cohabiting with children are at the greatest risk of unscheduled visits among adults receiving public assistance. To support healthy lifestyles of public assistance recipients, medical care providers and policymakers should pay special attention to the potentially underserved populations.

Racism, early psychosis, and institutional contact: A qualitative study of Indigenous experiences.

BACKGROUND: There is evidence of Indigenous and ethnic minority inequities in the incidence and outcomes of early psychosis. Racism has been implicated as having an important role. AIM: To use Indigenous experiences to develop a more detailed understanding of how racism operates to impact early psychosis outcomes. METHODS: Critical Race Theory informed the methodology used. Twenty-three Indigenous participants participated in four family focus group interviews and thirteen individual interviews, comprising of 9 Maori youth with early psychosis, 10 family members and 4 Maori mental health professionals. An analysis of the data was undertaken using deductive structural coding to identify descriptions of racism, followed by inductive descriptive and pattern coding. RESULTS: Participant experiences revealed how racism operates as a socio-cultural phenomenon that interacts with institutional policy and culture across systems pertaining to social responsiveness, risk discourse, and mental health service structures. This is described across three major themes: 1) selective responses based on racial stereotypes, 2) race related risk assessment bias and 3) institutional racism in the mental health workforce. The impacts of racism were reported as inaction in the face of social need, increased use of coercive practices and an under resourced Indigenous mental health workforce. CONCLUSION: The study illustrated the inter-related nature of interpersonal, institutional and structural racism with examples of interpersonal racism in the form of negative stereotypes interacting with organizational, socio-cultural and political priorities. These findings indicate that organizational cultures may differentially impact Indigenous and minority people and that social responsiveness, risk discourse and the distribution of workforce expenditure are important targets for anti-racism efforts.

School-Based Health Centers, Access to Care, and Income-Based Disparities.

Importance: School-based health centers (SBHCs) are primary care clinics colocated at schools. SBHCs have the potential to improve health care access and reduce disparities, but there is limited rigorous evidence on their effectiveness at the national level. Objective: To determine whether county-level adoption of SBHCs was associated with access, utilization, and health among children from low-income families and to measure reductions in income-based disparities. Design, Setting, and Participants: This survey study used a difference-in-differences design and data from a nationally representative sample of children in the US merged with SBHC indicators from the National Census of School-Based Health Centers. The main sample included children aged 5 to 17 years with family incomes that were less than 200% of the federal poverty level observed in the National Health Interview Survey, collected between 1997 to 2018. The sample was restricted to children living in a county that adopted a center between 2003 and 2013 or that did not have a center at any time during the study period. Analyses of income-based disparities included children from higher income families (ie, 200% or higher than the federal poverty level). Data were analyzed between January 2020 and July 2023. Exposure: County-by-year SBHC adoption. Main Outcomes and Measures: Outcomes included access (usual source of care, insurance status, barriers), ambulatory care use (general physician, eye doctor, dental, mental health visits), and health (general health status, missed school days due to illness). P values were adjusted for multiple comparisons using the sharpened q value method. Results: This study included 12 624 unweighted children from low-income families and 24 631 unweighted children from higher income families. The weighted percentage of children in low-income families who resided in counties with SBHC adoption included 50.0% aged 5 to 10 years. The weighted percentages of the race and ethnicity of these children included 36.7% Hispanic children, 25.2% non-Hispanic Black children, and 30.6% non-Hispanic White children. The weighted percentages of children in the counties that never adopted SBHCs included 50.1% aged 5 to 10 years. The weighted percentages of the race and ethnicity of these children included 20.7% Hispanic children, 22.4% non-Hispanic Black children, and 52.9% non-Hispanic White children. SBHC adoption was associated with a 6.4 percentage point increase in dental visits (95% CI, 3.2-9.6 percentage points; P < .001), an 8.0 percentage point increase in having a usual source of care (95% CI, 4.5-11.5 percentage points; P < .001), and a 5.2 percentage point increase in insurance (95% CI, 1.2-9.2 percentage points; P = .03). No other statistically significant associations were found with other outcomes. SBHCs were associated with relative reductions in income-based disparities to dental visits by 76% (4.9 percentage points; 95% CI, 2.0-7.7 percentage points), to insured status by 63% (3.5 percentage points; 95% CI, 1.3-5.7 percentage points), and to having a usual source of care by 98% (7.2 percentage points; 95% CI, 5.4-9.1 percentage points). Conclusions and Relevance: In this survey study with difference-in-differences analysis of SBHC adoption, SBHCs were associated with access to care and reduced income-based disparities. These findings support additional SBHC expansion.

Addressing cancer care inequities in sub-Saharan Africa: current challenges and proposed solutions.

INTRODUCTION: Cancer is a significant public health challenge globally, with nearly 2000 lives lost daily in Africa alone. Without adequate measures, mortality rates are likely to increase. The major challenge for cancer care in Africa is equity and prioritization, as cancer is not receiving adequate attention from policy-makers and strategic stakeholders in the healthcare space. This neglect is affecting the three primary tiers of cancer care: prevention, diagnosis, and treatment/management. To promote cancer care equity, addressing issues of equity and prioritization is crucial to ensure that everyone has an equal chance at cancer prevention, early detection, and appropriate care and follow-up treatment. METHODOLOGY: Using available literature, we provide an overview of the current state of cancer care in Africa and recommendations to close the gap. RESULTS: We highlight several factors that contribute to cancer care inequity in Africa, including inadequate funding for cancer research, poor cancer education or awareness, inadequate screening or diagnostic facilities, lack of a well-organized and effective cancer registry system and access to care, shortage of specialized medical staff, high costs for screening, vaccination, and treatment, lack of technical capacity, poor vaccination response, and/or late presentation of patients for cancer screening. We also provide recommendations to address some of these obstacles to achieving cancer care equity. Our recommendations are divided into national-level initiatives and capacity-based initiatives, including cancer health promotion and awareness by healthcare professionals during every hospital visit, encouraging screening and vaccine uptake, ensuring operational regional and national cancer registries, improving healthcare budgeting for staff, equipment, and facilities, building expertise through specialty training, funding for cancer research, providing insurance coverage for cancer care, and implementing mobile health technology for telemedicine diagnosis. CONCLUSION: Addressing challenges to cancer equity holistically would improve the likelihood of longer survival for cancer patients, lower the risk factors for groups that are already at risk, and ensure equitable access to cancer care on the continent. This study identifies the existing stance that African nations have on equity in cancer care, outlines the current constraints, and provides suggestions that could make the biggest difference in attaining equity in cancer care.

Neighborhood Deprivation and Racial Disparities in Early Pregnancy Impaired Glucose Tolerance.

OBJECTIVE: There is mounting evidence that neighborhoods contribute to perinatal health inequity. We aimed (1) to determine whether neighborhood deprivation (a composite marker of area-level poverty, education, and housing) is associated with early pregnancy impaired glucose intolerance (IGT) and pre-pregnancy obesity and (2) to quantify the extent to which neighborhood deprivation may explain racial disparities in IGT and obesity. STUDY DESIGN: This was a retrospective cohort study of non-diabetic patients with singleton births ≥ 20 weeks' gestation from 1 January 2017-31 December 2019 in two Philadelphia hospitals. The primary outcome was IGT (HbA1c 5.7-6.4%) at <20 weeks' gestation. Addresses were geocoded and census tract neighborhood deprivation index (range 0-1, higher indicating more deprivation) was calculated. Mixed-effects logistic regression and causal mediation models adjusted for covariates were used. RESULTS: Of the 10,642 patients who met the inclusion criteria, 49% self-identified as Black, 49% were Medicaid insured, 32% were obese, and 11% had IGT. There were large racial disparities in IGT (16% vs. 3%) and obesity (45% vs. 16%) among Black vs. White patients, respectively (p < 0.0001). Mean (SD) neighborhood deprivation was higher among Black (0.55 (0.10)) compared with White patients (0.36 (0.11)) (p < 0.0001). Neighborhood deprivation was associated with IGT and obesity in models adjusted for age, insurance, parity, and race (aOR 1.15, 95%CI: 1.07, 1.24 and aOR 1.39, 95%CI: 1.28, 1.52, respectively). Mediation analysis revealed that 6.7% (95%CI: 1.6%, 11.7%) of the Black-White disparity in IGT might be explained by neighborhood deprivation and 13.3% (95%CI: 10.7%, 16.7%) by obesity. Mediation analysis also suggested that 17.4% (95%CI: 12.0%, 22.4%) of the Black-White disparity in obesity may be explained by neighborhood deprivation. CONCLUSION: Neighborhood deprivation may contribute to early pregnancy IGT and obesity-surrogate markers of periconceptional metabolic health in which there are large racial disparities. Investing in neighborhoods where Black patients live may improve perinatal health equity.

Social Determinants of Health in Pediatric Rehabilitation for Children with Traumatic Injury: A Systematic Review.

OBJECTIVE: To examine the current evidence regarding health care disparities in pediatric rehabilitation after hospitalization with traumatic injury. STUDY DESIGN: This systematic review utilized both PubMed and EMBASE, and each was searched with key MESH terms. Studies were included in the systematic review if they (1) addressed social determinants of health including, but not limited to, race, ethnicity, insurance status, and income level; (2) focused on inpatient and outpatient rehabilitation services posthospital stay; (3) were based in the pediatric population; and (4) addressed traumatic injury requiring hospitalization. Only studies from within the US were included. RESULTS: From 10 169 studies identified, 455 abstracts were examined for full-text review, and 24 studies were chosen for data extraction. Synthesis of the 24 studies revealed 3 major themes: (1) access to services; (2) outcomes from rehabilitation; and (3) service provision. Patients with public insurance had decreased availability of service providers and had longer outpatient wait times. Non-Hispanic Black and Hispanic children were more likely to have greater injury severity and decreased functional independence after discharge. Lack of interpreter services was associated with decreased utilization of outpatient services. CONCLUSIONS: This systematic review identified significant effects of health care disparities on the rehabilitation process in pediatric traumatic injury. Social determinants of health must be thoughtfully addressed to identify key areas of improvement for the provision of equitable health care.

The costs and inequities of precision medicine for patients with prostate cancer: A call to action.

Financial toxicity is a growing problem in the delivery of cancer care and contributes to inequities in outcomes across the cancer care continuum. Racial/ethnic inequities in prostate cancer, the most common cancer diagnosed in men, are well described, and threaten to widen in the era of precision oncology given the numerous structural barriers to accessing novel diagnostic studies and treatments, particularly for Black men. Gaps in insurance coverage and cost sharing are 2 such structural barriers that can perpetuate inequities in screening, diagnostic workup, guideline-concordant treatment, symptom management, survivorship, and access to clinical trials. Mitigating these barriers will be key to achieving equity in prostate cancer care, and will require a multi-pronged approach from policymakers, health systems, and individual providers. This narrative review will describe the current state of financial toxicity in prostate cancer care and its role in perpetuating racial inequities in the era of precision oncology.

Global inequities in cesarean section deliveries and required resources persist.

OBJECTIVE: The purpose of this study was to estimate the global distribution and financial cost associated with the inequities present in the use of cesarean sections (CS) worldwide. STUDY DESIGN: We used the latest estimates on CS rates published by WHO and we adopted 10-15 % as the range of CS rates that are considered optimal for adequate use. We calculated the cost (in USD) to achieve CS rates of 10-15 % for countries that reported rates below 10 %. We also calculated the cost of CS rates in excess (>15 % and > 20 %) by estimating how much it would cost to reduce the rates to 10-15 % for each of those countries. RESULTS: 137 countries are included in this analysis with updated data on CS rates between the years 2010 and 2018. Our analysis found that 36 countries reported CS rates < 10 %, whereas 91 countries reported CS rates > 15 % (a majority of which were > 20 %); only 10 countries reported CS rates between 10 and 15 %. The cost of CS exceeding a rate of 15 % is estimated to be $9,586,952,466 including inflation and exceeding 20 % is $7.169.248.033 (USD). The cost of achieving "needed" CS among countries with CS rates < 10 % is $612,609,418 (USD). The cost of cesarean sections exceeding 15 % has increased by 313 % between 2008 and more recent years, accruing $7 billion (USD) more in surplus since 2008. The reallocation of CS funding would save the global economy $9 billion (USD). CONCLUSION: Global inequities in CS performed and associated costs have increased since 2008, resulting in a disproportionate number of resources allocated.

Urbanicity, Income, and Mammography-Use Disparities Among American Indian Women.

INTRODUCTION: Reported breast cancer screening among American Indian women is consistently below that of White women. The last claims-based trends were from 1991 to 2001. This study updates mammography trends for American Indian women and examines the impact of race, urbanicity, and income on long-term mammography use. METHODS: This was a multi-year (2005-2019), retrospective study of women aged 40-89 years using a 5% sample of Medicare fee-for-service beneficiaries residing in Arizona, California, New Mexico, Oklahoma, and Washington. This study used multivariable logistic regression to examine the impact of urbanicity and income on receiving mammography for American Indian women compared with that for White women. Analyses were conducted in 2022. RESULTS: Overall, annual age-adjusted mammography use declined from 205 per 1,000 in 2005 to 165 per 1,000 in 2019. The slope of these declines was significantly steeper (difference = -2.41, p<0.001) for White women (-3.06) than for American Indian women (-0.65). Mammography-use odds across all urbanicity categories were less for American Indian women than for White women compared with those of their respective metropolitan counterparts (e.g., rural: 0.96, 95% CI=0.77, 1.20 for American Indian women and 1.47, 99% CI=1.39, 1.57 for White women). Although residing in higher-income communities was not associated with mammography use for American Indian women, it was 31% higher for White women (OR=1.31, 99% CI=1.28, 1.34). CONCLUSIONS: The disparity in annual age-adjusted mammography use between American Indian and White women narrowed between 2005 and 2019. However, the association of urbanicity and community income on mammography use differs substantially between American Indian and White women. Policies to reduce disparities need to consider these differences.

Racial/ethnic disparities in costs, length of stay, and severity of severe maternal morbidity.

BACKGROUND: In contrast to other high-resource countries, the United States has experienced increases in the rates of severe maternal morbidity. In addition, the United States has pronounced racial and ethnic disparities in severe maternal morbidity, especially for non-Hispanic Black people, who have twice the rate as non-Hispanic White people. OBJECTIVE: This study aimed to examine whether the racial and ethnic disparities in severe maternal morbidity extended beyond the rates of these complications to include disparities in maternal costs and lengths of stay, which could indicate differences in the case severity. STUDY DESIGN: This study used California's linkage of birth certificates to inpatient maternal and infant discharge data for 2009 to 2011. Of the 1.5 million linked records, 250,000 were excluded because of incomplete data, for a final sample of 1,262,862. Cost-to-charge ratios were used to estimate costs from charges (including readmissions) after adjusting for inflation to December 2017. Mean diagnosis-related group-specific reimbursement was used to estimate physician payments. We used the Centers for Disease Control and Prevention definition of severe maternal morbidity, including readmissions up to 42 days after delivery. Adjusted Poisson regression models estimated the differential risk of severe maternal morbidity for each racial or ethnic group, compared with the non-Hispanic White group. Generalized linear models estimated the associations of race and ethnicity with costs and length of stay. RESULTS: Asian or Pacific Islander, Non-Hispanic Black, Hispanic, and other race or ethnicity patients all had higher rates of severe maternal morbidity than non-Hispanic White patients. The largest disparity was between non-Hispanic White and non-Hispanic Black patients, with unadjusted overall rates of severe maternal morbidity of 1.34% and 2.62%, respectively (adjusted risk ratio, 1.61; P<.001). Among patients with severe maternal morbidity, the adjusted regression estimates showed that non-Hispanic Black patients had 23% (P<.001) higher costs (marginal effect of $5023) and 24% (P<.001) longer hospital stays (marginal effect of 1.4 days) than non-Hispanic White patients. These effects changed when cases, such as cases where a blood transfusion was the only indication of severe maternal morbidity, were excluded, with 29% higher costs (P<.001) and 15% longer length of stay (P<.001). For other racial and ethnic groups, the increases in costs and length of stay were smaller than those observed for non-Hispanic Black patients, and many were not significantly different from non-Hispanic White patients. Hispanic patients had higher rates of severe maternal morbidity than non-Hispanic White patients; however, Hispanic patients had significantly lower costs and length of stay than non-Hispanic White patients. CONCLUSION: There were racial and ethnic differences in the costs and length of stay among patients with severe maternal morbidity across the groupings that we examined. The differences were especially large for non-Hispanic Black patients compared with non-Hispanic White patients. Non-Hispanic Black patients experienced twice the rate of severe maternal morbidity; in addition, the higher relative costs and longer lengths of stay for non-Hispanic Black patients with severe maternal morbidity support greater case severity in that population. These findings suggest that efforts to address racial and ethnic inequities in maternal health need to consider differences in case severity in addition to the differences in the rates of severe maternal morbidity and that these differences in case severity merit additional investigation.

Racial Disparities in the Cost of Unplanned Hospitalizations after Breast Reconstruction.

BACKGROUND: Given the national attention to disparities in health care, understanding variation provided to minorities becomes increasingly important. This study will examine the effect of race on the rate and cost of unplanned hospitalizations after breast reconstruction procedures. METHODS: The authors performed an analysis comparing patients undergoing implant-based and autologous breast reconstruction in the Healthcare Cost and Utilization Project. The authors evaluated the rate of unplanned hospitalizations and associated expenditures among patients of different races. Multivariable analyses were performed to determine the association among race and readmissions and health care expenditures. RESULTS: The cohort included 17,042 patients. The rate of an unplanned visit was 5%. The rates of readmissions among black patients (6%) and Hispanic patients (7%) in this study are higher compared with white patients (5%). However, after controlling for patient-level characteristics, race was not an independent predictor of an unplanned visit. In our expenditure model, black patients [adjusted cost ratio, 1.35 (95% CI, 1.11 to 1.66)] and Hispanic patients [adjusted cost ratio, 1.34 (95% CI, 1.08 to 1.65)] experienced greater cost for their readmission compared with white patients. CONCLUSIONS: Although race is not an independent predictor of an unplanned hospital visit after surgery, racial minorities bear a higher cost burden after controlling for insurance status, further stimulating health care disparities. Adjusted payment models may be a strategy to reduce disparities in surgical care. In addition, direct and indirect measures of disparities should be used when examining health care disparities to identify consequences of inequities more robustly.

Radiotherapy Deserts: The Impact of Race, Poverty, and the Rural-Urban Continuum on Density of Providers and the Use of Radiation Therapy in the US.

PURPOSE: Prior efforts to characterize disparities in radiation therapy access and receipt have not comprehensively investigated interplay between race, socioeconomic status, and geography relative to oncologic outcomes. This study sought to define these complex relationships at the US county level for prostate cancer (PC) and invasive breast (BC) cancer to build a tool that facilitates identification of "radiotherapy deserts"-regions with mismatch between radiation therapy resources and oncologic need. METHODS AND MATERIALS: An ecologic study model was constructed using national databases to evaluate 3,141 US counties. Radiation therapy resources and use densities were operationalized as physicians to persons at risk (PPR) and use to persons at risk (UPR): the number of attending radiation oncologists and Medicare beneficiaries per 100,000 persons at risk, respectively. Oncologic need was defined by "hot zone" counties with ≥2 standard deviations (SDs) above mean incidence and death rates. Univariable and multivariable logistic regressions examined links between PPR and UPR densities, epidemiologic variables, and hot zones for oncologic outcomes. Statistics are reported at a significance level of P < .05. RESULTS: The mean (SD) PPR and UPR densities were 2.1 (5.9) and 192.6 (557.6) for PC and 1.9 (5.3) and 174.4 (501.0) for BC, respectively. Counties with high PPR and UPR densities were predominately metropolitan (odds ratio [OR], 2.9-4.4), generally with a higher percentage of Black non-Hispanic constituents (OR, 1.5-2.3). Incidence and death rate hot zones were largely nonmetropolitan (OR, 0.3-0.6), generally with a higher percentage of Black non-Hispanic constituents (OR, 3.2-6.3). Lower PPR density was associated with death rate hot zones for both types of cancer (OR, 0.8-0.9); UPR density was generally not linked to oncologic outcomes on multivariable analysis. CONCLUSIONS: The study found that mismatch between oncologic need with PPR and UPR disproportionately affects nonmetropolitan communities with a higher percentage of Black non-Hispanic constituents. An interactive web platform (bit.ly/densitymaps) was developed to visualize "radiotherapy deserts" and drive targeted investigation of underlying barriers to care in areas of highest need, with the goal of reducing health inequities in this context.

Understanding the role of access in Hispanic cancer screening disparities.

BACKGROUND: Hispanic populations in the United States experience numerous barriers to care access. It is unclear how cancer screening disparities between Hispanic and non-Hispanic White individuals are explained by access to care, including having a usual source of care and health insurance coverage. METHODS: A secondary analysis of the 2019 National Health Interview Survey was conducted and included respondents who were sex- and age-eligible for cervical (n = 8316), breast (n = 6025), or colorectal cancer screening (n = 11,313). The proportion of ever screened and up to date for each screening type was compared.  Regression models evaluated whether controlling for reporting a usual source of care and type of health insurance (public, private, none) attenuated disparities between Hispanics and non-Hispanic White individuals. RESULTS: Hispanic individuals were less likely than non-Hispanic White individuals to be up to date with cervical cancer screening (71.6% vs. 74.6%) and colorectal cancer screening (52.9% vs. 70.3%), but up-to-date screening was similar for breast cancer (78.8% vs. 76.3%). Hispanic individuals (vs. non-Hispanic White) were less likely to have a usual source of care (77.9% vs. 86.0%) and more likely to be uninsured (23.6% vs. 7.1%). In regressions, insurance fully attenuated cervical cancer disparities. Controlling for both usual source of care and insurance type explained approximately half of the colorectal cancer screening disparities (adjusted risk difference: -8.3 [-11.2 to -4.8]). CONCLUSION: Addressing the high rate of uninsurance among Hispanic individuals could mitigate cancer screening disparities. Future research should build on the relative successes of breast cancer screening and investigate additional barriers for colorectal cancer screening. PLAIN LANGUAGE SUMMARY: This study uses data from a national survey to compare cancer screening use those who identify as Hispanic with those who identify as non-Hispanic White. Those who identify as Hispanic are much less likely to be up to date with colorectal cancer screening than those who identify as non-Hispanic White, slightly less likely to be up to date on cervical cancer screening, and similarly likely to receive breast cancer screening. Improving insurance coverage is important for health equity, as is further exploring what drives higher use of breast cancer screening and lower use of colorectal cancer screening.

Social Disparities in the Management of Trigger Finger: An Analysis of 31 411 Cases.

BACKGROUND: Cost and compliance are 2 factors that can significantly affect the outcomes of non-operative and operative treatment of trigger finger (TF) and both may be influenced by social factors. The purpose of this study was to investigate socioeconomic disparities in the surgical treatment for TF. METHODS: Adult patients (≥18 years old) were identified using International Classification of Diseases 9 and 10 Clinical Modification diagnostic codes for TF and Current Procedural Terminology (CPT) procedural codes (CPT: 26055) in the New York Statewide Planning and Research Cooperative System database. Each diagnosis was linked to procedure data to determine which patients went on to have TF release. A multivariable logistic regression was performed to assess the likelihood of receiving surgery. The variables included in the analysis were age, sex, race, social deprivation index (SDI), Charlson Comorbidity Index, and primary insurance type. A P-value < .05 was considered significant. RESULTS: Of the 31 411 TF patients analyzed, 8941 (28.5%) underwent surgery. Logistic regression analysis showed higher odds of receiving surgery in females (odds ratio [OR]: 1.108) and those with workers compensation (OR: 1.7). Hispanic (OR: 0.541), Asian (OR: 0.419), African American (OR: 0.455), and Other race (OR: 0.45) had decreased odds of surgery. Medicaid (OR: 0.773), Medicare (OR: 0.841), and self-pay (OR: 0.515) reimbursement methods had reduced odds of receiving surgery. Higher social deprivation was associated with decreased odds of surgery (OR: 0.988). CONCLUSIONS: There are disparities in demographic characteristics among those who receive TF release for trigger finger related to race, primary insurance, and social deprivation.

Racial and ethnic disparities in excess mortality among U.S. veterans during the COVID-19 pandemic.

OBJECTIVE: The COVID-19 pandemic disproportionately affected racial and ethnic minorities among the general population in the United States; however, little is known regarding its impact on U.S. military Veterans. In this study, our objectives were to identify the extent to which Veterans experienced increased all-cause mortality during the COVID-19 pandemic, stratified by race and ethnicity. DATA SOURCES: Administrative data from the Veterans Health Administration's Corporate Data Warehouse. STUDY DESIGN: We use pre-pandemic data to estimate mortality risk models using five-fold cross-validation and quasi-Poisson regression. Models were stratified by a combined race-ethnicity variable and included controls for major comorbidities, demographic characteristics, and county fixed effects. DATA COLLECTION: We queried data for all Veterans residing in the 50 states plus Washington D.C. during 2016-2020. Veterans were excluded from analyses if they were missing county of residence or race-ethnicity data. Data were then aggregated to the county-year level and stratified by race-ethnicity. PRINCIPAL FINDINGS: Overall, Veterans' mortality rates were 16% above normal during March-December 2020 which equates to 42,348 excess deaths. However, there was substantial variation by racial and ethnic group. Non-Hispanic White Veterans experienced the smallest relative increase in mortality (17%, 95% CI 11%-24%), while Native American Veterans had the highest increase (40%, 95% CI 17%-73%). Black Veterans (32%, 95% CI 27%-39%) and Hispanic Veterans (26%, 95% CI 17%-36%) had somewhat lower excess mortality, although these changes were significantly higher compared to White Veterans. Disparities were smaller than in the general population. CONCLUSIONS: Minoritized Veterans experienced higher rates excess of mortality during the COVID-19 pandemic compared to White Veterans, though with smaller differences than the general population. This is likely due in part to the long-standing history of structural racism in the United States that has negatively affected the health of minoritized communities via several pathways including health care access, economic, and occupational inequities.