Spatial Context and Health Inequity: Reconfiguring Race, Place, and Poverty

Leveraging Health Services Research to Address Aging Health Equity

To achieve optimal, equitable health outcomes for all older adults, the United States desperately needs equity in access to, quality of, and cost of aging care. To illustrate these needs, we discuss the current inequitable state of frailty care. Frailty disproportionately affects marginalized populations, yet these populations struggle to access high-quality geriatrics care and long-term care services and supports (LTSS) that mitigate frailty, leading to accelerated frailty trajectories. Health services research can provide the data needed to document, elucidate, and address health inequities in frailty care, including early identification and referral of frail adults to specialized care and financing LTSS.

Geospatial Modeling Methods in Epidemiological Kidney Research: An Overview and Practical Example

Geospatial modeling methods in population-level kidney research have not been used to full potential because few studies have completed associative spatial analyses between risk factors and exposures and kidney conditions and outcomes. Spatial modeling has several advantages over traditional modeling, including improved estimation of statistical variation and more accurate and unbiased estimation of coefficient effect direction or magnitudes by accounting for spatial data structure. Because most population-level kidney research data are geographically referenced, there is a need for better understanding of geospatial modeling for evaluating associations of individual geolocation with processes of care and clinical outcomes. In this review, we describe common spatial models, provide details to execute these analyses, and perform a case-study to display how results differ when integrating geographic structure. In our case-study, we used U.S. nationwide 2019 chronic kidney disease (CKD) data from Centers for Disease Control and Prevention's Kidney Disease Surveillance System and 2006 to 2010 U.S. Environmental Protection Agency environmental quality index (EQI) data and fit a nonspatial count model along with global spatial models (spatially lagged model [SLM]/pseudo-spatial error model [PSEM]) and a local spatial model (geographically weighted quasi-Poisson regression [GWQPR]). We found the SLM, PSEM, and GWQPR improved model fit in comparison to the nonspatial regression, and the PSEM model decreased the positive relationship between EQI and CKD prevalence. The GWQPR also revealed spatial heterogeneity in the EQI-CKD relationship. To summarize, spatial modeling has promise as a clinical and public health translational tool, and our case-study example is an exhibition of how these analyses may be performed to improve the accuracy and utility of findings.

Population-enriched innate immune variants may identify candidate gene targets at the intersection of cancer and cardio-metabolic disease

Both cancer and cardio-metabolic disease disparities exist among specific populations in the US. For example, African Americans experience the highest rates of breast and prostate cancer mortality and the highest incidence of obesity. Native and Hispanic Americans experience the highest rates of liver cancer mortality. At the same time, Pacific Islanders have the highest death rate attributed to type 2 diabetes (T2D), and Asian Americans experience the highest incidence of non-alcoholic fatty liver disease (NAFLD) and cancers induced by infectious agents. Notably, the pathologic progression of both cancer and cardio-metabolic diseases involves innate immunity and mechanisms of inflammation. Innate immunity in individuals is established through genetic inheritance and external stimuli to respond to environmental threats and stresses such as pathogen exposure. Further, individual genomes contain characteristic genetic markers associated with one or more geographic ancestries (ethnic groups), including protective innate immune genetic programming optimized for survival in their corresponding ancestral environment(s). This perspective explores evidence related to our working hypothesis that genetic variations in innate immune genes, particularly those that are commonly found but unevenly distributed between populations, are associated with disparities between populations in both cancer and cardio-metabolic diseases. Identifying conventional and unconventional innate immune genes that fit this profile may provide critical insights into the underlying mechanisms that connect these two families of complex diseases and offer novel targets for precision-based treatment of cancer and/or cardio-metabolic disease.

Structural racism and violence: Routine healthcare access in a cohort of marginalized Indigenous women and Two-Spirit Peoples during the COVID-19 Pandemic

Objectives

Historical and ongoing colonial violence, racism, discrimination, criminalization, and intergenerational trauma continues to impact the health of Indigenous women (cisgender and transgender) and Two-Spirit Peoples. Previous and ongoing work clearly articulate the deeply harmful roles of colonialism and racism in continuing to systemically exclude Indigenous Peoples from accessing equitable and culturally safe healthcare. While the COVID-19 pandemic has amplified structural inequities, little attention has been paid to how the pandemic impacts healthcare access for Indigenous women and Two-Spirit Peoples living in urban settings. The aim of this study was to evaluate factors associated with experiencing difficulty accessing routine healthcare in a cohort of marginalized urban Indigenous women and Two-Spirit Peoples on the ancestral, occupied territories of the Musqueam, Squamish and Tsleil-Waututh Nations in what is now referred to as Metro Vancouver, Canada during the COVID-19 pandemic.

Methods

Data were drawn from AMPLIFY, a study of Indigenous cis and trans women and Two-Spirit Peoples in Metro Vancouver. Analyses drew on baseline and semi-annual questionnaire data collected with sex workers and women living with HIV from October 2020-August 2021. We used bivariate and multivariable logistic regression with generalized estimating equations (GEE) to model correlates of experiencing difficulty accessing a family doctor, nurse, or clinic for routine healthcare during the COVID-19 pandemic in the last 6-months.

Results

Amongst 142 marginalized Indigenous women and Two-Spirit Peoples (199 observations), 27.5% reported difficulty accessing routine healthcare. In multivariable GEE logistic regression, participants who had ever been pregnant (AOR:4.71, 95% CI:1.33-16.66) experienced negative changes in psychological and emotional well-being (AOR: 3.99, 95% CI: 1.33-11.98), lacked access to culturally safe health services (AOR:4.67, 95% CI:1.43-15.25), and had concerns regarding safety or violence in their community (AOR:2.72, 95% CI:1.06-6.94) had higher odds of experiencing recent difficulty accessing routine healthcare.

Discussion

Findings are in line with the BC Commissioned In Plain Sight report which recommends the need for accessible, culturally safe, anti-racist, and trauma-informed routine healthcare for marginalized Indigenous cisgender and transgender women and Two-Spirit Peoples during the current and future pandemics. More community-based research is needed to understand access needs for culturally safe routine healthcare amongst marginalized Indigenous cisgender and transgender women and Two-Spirit Peoples.

Anxiety Sensitivity Among Non-Hispanic Black Adults: Relations to Mental Health and Psychosomatic States

The non-Hispanic Black adult population has notable disparities in mental and physical health compared to several other racial/ethnic groups. Yet, there is a lack of scientific knowledge about psychologically based individual difference factors that may be associated with an exacerbation of common mental and physical health symptoms among non-Hispanic Black persons. The present investigation sought to build on the limited knowledge about anxiety sensitivity among non-Hispanic Black adults by exploring whether this construct was uniquely associated with a range of prevalent mental health and psychosomatic symptoms commonly tied to disparities among this population. Participants included non-Hispanic Black adults (N = 205; Mage = 21.67 years; SDage = 5.39; age range: 18-60 years; 82.0% female). Results indicated that anxiety sensitivity was positively related to anxious arousal, general depression, insomnia, fatigue severity, and somatic symptom severity; effects were evident above and beyond the variance explained by a range of covariates, including age, sex, education, subjective social status, and neuroticism. Overall, the present findings uniquely build from past research on anxiety sensitivity and non-Hispanic Black adults by demonstrating that individual differences in this construct are consistently and relatively robustly associated with a wide range of mental health and psychosomatic symptoms. Future research that builds from this work may benefit from consideration of intervention programming targeting anxiety sensitivity reduction to offset mental and physical health impairments among the non-Hispanic Black population.

The Effect of Neighborhood Disorganization on Care Engagement Among Children With Chronic Conditions Living in a Large Urban City

Neighborhood context plays an important role in producing and reproducing current patterns of health disparity. In particular, neighborhood disorganization affects how people engage in health care. We examined the effect of living in highly disorganized neighborhoods on care engagement, using data from the Coordinated Healthcare for Complex Kids (CHECK) program, which is a care delivery model for children with chronic conditions on Medicaid in Chicago. We retrieved demographic data from the US Census Bureau and crime data from the Chicago Police Department to estimate neighborhood-level social disorganization for the CHECK enrollees. A total of 6458 children enrolled in the CHECK between 2014 and 2017 were included in the analysis. Families living in the most disorganized neighborhoods, compared with areas with lower levels of disorganization, were less likely to engage in CHECK. Black families were less likely than Hispanic families to be engaged in the CHECK program. We discuss potential mechanisms through which disorganization affects care engagement. Understanding neighborhood context, including social disorganization, is key to developing more effective comprehensive care models.

Disparities in Spatial Access to Emergency Surgical Services in the US

Importance

Hospitals with emergency surgical services provide essential care for a wide range of time-sensitive diseases. Commonly used measures of spatial access, such as distance or travel time, have been shown to underestimate disparities compared with more comprehensive metrics.

Objective

To examine population-level differences in spatial access to hospitals with emergency surgical capability across the US using enhanced 2-step floating catchment (E2SFCA) methods.

Design, Setting, and Participants

A cross-sectional study using the 2015 American Community Survey data. National census block group (CBG) data on community characteristics were paired with geographic coordinates of hospitals with emergency departments and inpatient surgical services, and hospitals with advanced clinical resources were identified. Spatial access was measured using the spatial access ratio (SPAR), an E2SFCA method that captures distance to hospital, population demand, and hospital capacity. Small area analyses were conducted to assess both the population with low access to care and community characteristics associated with low spatial access. Data analysis occurred from February 2021 to July 2022.

Main Outcomes and Measures

Low spatial access was defined by SPAR greater than 1.0 SD below the national mean (SPAR <0.3).

Results

In the 217 663 CBGs (median [IQR] age for CBGs, 39.7 [33.7-46.3] years), there were 3853 hospitals with emergency surgical capabilities and 1066 (27.7%) with advanced clinical resources. Of 320 million residents, 30.8 million (9.6%) experienced low access to any hospital with emergency surgical services, and 82.6 million (25.8%) to advanced-resource centers. Insurance status was associated with low access to care across all settings (public insurance: adjusted rate ratio [aRR], 1.21; 95% CI, 1.12-1.25; uninsured aRR, 1.58; 95% CI, 1.52-1.64). In micropolitan and rural areas, high-share (>75th percentile) Hispanic and other (Asian; American Indian, Alaska Native, or Pacific Islander; and 2 or more racial and ethnic minority groups) communities were also associated with low access. Similar patterns were seen in access to advanced-resource hospitals, but with more pronounced racial and ethnic disparities.

Conclusions and Relevance

In this cross-sectional study of access to surgical care, nearly 1 in 10 US residents experienced low spatial access to any hospital with emergency surgical services, and 1 in 4 had low access to hospitals with advanced clinical resources. Communities with high rates of uninsured or publicly insured residents and racial and ethnic minority communities in micropolitan and rural areas experienced the greatest risk of limited access to emergency surgical care. These findings support the use of E2SFCA models in identifying areas with low spatial access to surgical care and in guiding health system development.

Associations between neighborhood built environment, residential property values, and adult BMI change: The Seattle Obesity Study III

Objective

To examine associations between neighborhood built environment (BE) variables, residential property values, and longitudinal 1- and 2-year changes in body mass index (BMI).

Methods

The Seattle Obesity Study III was a prospective cohort study of adults with geocoded residential addresses, conducted in King, Pierce, and Yakima Counties in Washington State. Measured heights and weights were obtained at baseline (n = 879), year 1 (n = 727), and year 2 (n = 679). Tax parcel residential property values served as proxies for individual socioeconomic status. Residential unit and road intersection density were captured using Euclidean-based SmartMaps at 800 m buffers. Counts of supermarket (0 versus. 1+) and fast-food restaurant availability (0, 1–3, 4+) were measured using network based SmartMaps at 1600 m buffers. Density measures and residential property values were categorized into tertiles. Linear mixed-effects models tested whether baseline BE variables and property values were associated with differential changes in BMI at year 1 or year 2, adjusting for age, gender, race/ethnicity, education, home ownership, and county of residence. These associations were then tested for potential disparities by age group, gender, race/ethnicity, and education.

Results

Road intersection density, access to food sources, and residential property values were inversely associated with BMI at baseline. At year 1, participants in the 3rd tertile of density metrics and with 4+ fast-food restaurants nearby showed less BMI gain compared to those in the 1st tertile or with 0 restaurants. At year 2, higher residential property values were predictive of lower BMI gain. There was evidence of differential associations by age group, gender, and education but not race/ethnicity.

Conclusion

Inverse associations between BE metrics and residential property values at baseline demonstrated mixed associations with 1- and 2-year BMI change. More work is needed to understand how individual-level sociodemographic factors moderate associations between the BE, property values, and BMI change.

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Strong, inverse cross-sectional relationships between the built environment, residential property values (a proxy for individual socioeconomic status), and measured BMI were observed.

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Measures of the built environment and residential property values showed modest and inconsistent associations with 1- and 2-year BMI change.

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There was suggestive evidence that age may moderate the association between urban density and 1- and 2-year BMI change while education may moderate the association between residential property values and 2-year BMI change.

Algorithmic fairness in pandemic forecasting: lessons from COVID-19

Racial and ethnic minorities have borne a particularly acute burden of the COVID-19 pandemic in the United States. There is a growing awareness from both researchers and public health leaders of the critical need to ensure fairness in forecast results. Without careful and deliberate bias mitigation, inequities embedded in data can be transferred to model predictions, perpetuating disparities, and exacerbating the disproportionate harms of the COVID-19 pandemic. These biases in data and forecasts can be viewed through both statistical and sociological lenses, and the challenges of both building hierarchical models with limited data availability and drawing on data that reflects structural inequities must be confronted. We present an outline of key modeling domains in which unfairness may be introduced and draw on our experience building and testing the Google-Harvard COVID-19 Public Forecasting model to illustrate these challenges and offer strategies to address them. While targeted toward pandemic forecasting, these domains of potentially biased modeling and concurrent approaches to pursuing fairness present important considerations for equitable machine-learning innovation.

Neighborhood Effects on Missed Appointments in a Large Urban Academic Multispecialty Practice

BACKGROUND

Missed appointments diminish the continuity and quality of care.

OBJECTIVE

To determine whether missing scheduled appointments is associated with characteristics of the populations in places where patients reside.

DESIGN

Retrospective cross-sectional study using data extracted from electronic health records linked to population descriptors for each patient's census tract of residence.

PATIENTS

A total of 58,981 patients ≥18 years of age with 275,682 scheduled appointments during 2014-2015 at a multispecialty outpatient practice.

MAIN MEASURES

We used multinomial generalized linear mixed models to examine associations between the outcomes of scheduled appointments (arrived, canceled, or missed) and selected characteristics of the populations in patients' census tracts of residence (racial/ethnic segregation based on population composition, levels of poverty, violent crime, and perceived safety and social capital), controlling for patients' age, gender, type of insurance, and type of clinic service.

KEY RESULTS

Overall, 17.5% of appointments were missed. For appointments among patients residing in census tracts in the highest versus lowest quartile for each population metric, adjusted odds ratios (aORs) for missed appointments were 1.27 (CI 1.19, 1.35) for the rate of violent crime, 1.27 (CI 1.20, 1.34) for the proportion Hispanic, 1.19 (CI 1.12, 1.27) for the proportion living in poverty, 1.13 (CI 1.05, 1.20) for the proportion of the census tract population that was Black, and 1.06 (CI 1.01, 1.11 for perceived neighborhood safety.

CONCLUSIONS

Characteristics of the places where patients reside are associated with missing scheduled appointments, including high levels of racial/ethnic segregation, poverty, and violent crime and low levels of perceived neighborhood safety. As such, targeting efforts to improve access for patients living in such neighborhoods will be particularly important to address underlying social determinants of access to health care.

Eliminating Explicit and Implicit Biases in Health Care: Evidence and Research Needs

Health care providers hold negative explicit and implicit biases against marginalized groups of people such as racial and ethnic minoritized populations. These biases permeate the health care system and affect patients via patient–clinician communication, clinical decision making, and institutionalized practices. Addressing bias remains a fundamental professional responsibility of those accountable for the health and wellness of our populations. Current interventions include instruction on the existence and harmful role of bias in perpetuating health disparities, as well as skills training for the management of bias. These interventions can raise awareness of provider bias and engage health care providers in establishing egalitarian goals for care delivery, but these changes are not sustained, and the interventions have not demonstrated change in behavior in the clinical or learning environment. Unfortunately, the efficacy of these interventions may be hampered by health care providers’ work and learning environments, which are rife with discriminatory practices that sustain the very biases US health care professions are seeking to diminish. We offer a conceptual model demonstrating that provider-level implicit bias interventions should be accompanied by interventions that systemically change structures inside and outside the health care system if the country is to succeed in influencing biases and reducing health inequities.

Sociodemographic disparities and contextual factors in obesity: updated evidence from a National Survey of Risk Factors for Chronic Diseases

OBJECTIVE

To assess the association of sociodemographic and environmental factors with the obesity occurrence in Argentina from a sex- and age-comparative perspective and a multilevel approach.

DESIGN

Cross-sectional study based on secondary data from the National Survey of Chronic Diseases Risk Factors (CDRF) 2018, Argentina. Two-level logistic regression models stratified by sex and age were used.

SETTING

The nationwide probabilistic sample of the CDRF survey and twenty-four geographical units.

PARTICIPANTS

16 410 adult people, living in Argentine towns of at least 5000 people, nested into 24 geographical units. Sex and age groups were defined as young (aged 18-44 years), middle-aged (45-64 years) and older (65 years and older) men and women.

RESULTS

Single men (all age groups) and divorced/widowed men (aged 45 years or older) had a lower obesity risk compared to married ones. In the middle-aged group, men with higher education showed a lower risk than men with incomplete primary education. In young women, a marked social gradient by educational level was observed. A low-income level coupled with highly urbanised contexts represents an unfavourable scenario for young and middle-aged women. Having a multi-person household was a risk factor for obesity (OR = 1·26, P = 0·038) in middle-aged women. Contextual factors linked to the availability of socially constructed recreational resources and green spaces were associated with obesity among young adults.

CONCLUSIONS

Socio-environmental determinants of obesity seem to operate differently according to sex and age in Argentina. This entails the need to address the obesity epidemic considering gender inequalities and the socio-environmental context at each stage of life.

The impact of poverty and deprivation at the end of life: a critical review

This critical review interrogates what we know about how poverty and deprivation impact people at the end of life and what more we need to uncover. While we know that people in economically resource-rich countries who experience poverty and deprivation over the life course are likely to die younger, with increased co-morbidities, palliative care researchers are beginning to establish a full picture of the disproportionate impact of poverty on how, when and where we die. This is something the Covid-19 pandemic has further illustrated. Our article uses a critical social science lens to investigate an eclectic range of literature addressing health inequities and is focused on poverty and deprivation at the end of life. Our aim was to see if we could shed new light on the myriad ways in which experiences of poverty shape the end of people's lives. We start by exploring the definitions and language of poverty while acknowledging the multiple intersecting identities that produce privilege. We then discuss poverty and deprivation as a context for the nature of palliative care need and overall end-of-life circumstances. In particular, we explore: total pain; choice at the end of life; access to palliative care; and family caregiving. Overall, we argue that in addressing the effects of poverty and deprivation on end-of-life experiences, there is a need to recognise not just socio-economic injustice but also cultural and symbolic injustice. Too often, a deficit-based approach is adopted which both 'Others' those living with poverty and renders invisible the strategies and resilience they develop to support themselves, their families and communities. We conclude with some recommendations for future research, highlighting in particular the need to amplify the voices of people with lived experience of poverty regarding palliative and end-of-life care.

Characterizing the performance of emergency medical transport time metrics in a residentially segregated community

OBJECTIVE

To derive and characterize the performance of various metrics of emergency transport time in assessing for sociodemographic disparities in the setting of residential segregation. Secondarily to characterize racial disparities in emergency transport time of suspected stroke patients in Austin, Texas.

DATA SOURCES

We used a novel dataset of 2518 unique entries with detailed spatial and temporal information on all suspected stroke transports conducted by a public emergency medical service in Central Texas between 2010 and 2018.

STUDY DESIGN

We conducted one-way ANOVA tests with post-hoc pairwise t-tests to assess how mean hospital transport times varied by patient race. We also developed a spatially-independent metric of emergency transport urgency, the ratio of expected duration of self-transport to a hospital and the measured transport time by an ambulance.

DATA COLLECTION/EXTRACTION

We calculated ambulance arrival and destination times using sequential temporospatial coordinates. We excluded any entries in which patient race was not recorded. We also excluded entries in which ambulances' routes did not pass within 100 m of either the patient's location or the documented hospital destination.

PRINCIPAL FINDINGS

We found that mean transport time to a hospital was 2.5 min shorter for black patients compared to white patients. However, white patients' transport times to a hospital were found to be, on average, 4.1 min shorter than expected compared to 3.4 min shorter than expected for black patients. One-way ANOVA testing for the spatially-independent index of emergency transport urgency was not statistically significant, indicating that average transport time did not vary significantly across racial groups when accounting for variations in transport distance.

CONCLUSIONS

Using a novel transport urgency index, we demonstrate that these findings represent race-based variation in spatial distributions rather than racial bias in emergency medical transport. These results highlight the importance of closely examining spatial distributions when utilizing temporospatial data to investigate geographically-dependent research questions.

Practical Lessons for Teaching About Race and Racism: Successfully Leading Free, Frank, and Fearless Discussions

Successfully teaching about race and racism requires a careful balance of emotional safety and honest truth-telling. Creating such environments where all learners can thrive and grow together is a challenge, but a consistently doable one. This article describes 12 lessons learned within 4 main themes: ground rules; language and communication; concepts of social constructs, intersectionality, and bidirectional biases; and structural racism, solutions, and advocacy. The authors' recommendations for how to successfully teach health professions students about race and racism come from their collective experience of over 60 years of instruction, research, and practice. Proficiency in discussing race and addressing racism will become increasingly relevant as health care institutions strive to address the social needs of patients (e.g., food insecurity, housing instability) that contribute to poor health and are largely driven by structural inequities. Having interprofessional team-based care, with teams better able to understand and counteract their own biases, will be critical to addressing the social and structural determinants of health for marginalized patients. Recognizing that implicit biases about race impact both patients and health professions students from underrepresented racial/ethnic backgrounds is a critical step toward building robust curricula about race and health equity that will improve the learning environment for trainees and reduce health disparities.

Neighbourhood income and physical distancing during the COVID-19 pandemic in the United States

Physical distancing has been the primary strategy to control COVID-19 in the United States. We used mobility data from a large, anonymized sample of smartphone users to assess the relationship between neighbourhood income and physical distancing during the pandemic. We found a strong gradient between neighbourhood income and physical distancing. Individuals in high-income neighbourhoods increased their days at home substantially more than individuals in low-income neighbourhoods did. Residents of low-income neighbourhoods were more likely to work outside the home, compared to residents in higher-income neighbourhoods, but were not more likely to visit locations such as supermarkets, parks and hospitals. Finally, we found that state orders were only associated with small increases in staying home in low-income neighbourhoods. Our findings indicate that people in lower-income neighbourhoods have faced barriers to physical distancing, particularly needing to work outside the home, and that state physical distancing policies have not mitigated these disparities.

Racial/Ethnic Inequities in Access to High-Quality Dialysis Treatment in Chicago: Does Neighborhood Racial/Ethnic Composition Matter?

OBJECTIVES

Blacks and Hispanics face a higher incidence rate of end-stage renal disease (ESRD) and tend to experience poorer access to quality health care compared with Whites. Income, education, and insurance coverage differentials are typically identified as risk factors, but neighborhood-level analyses may provide additional insights. We examine whether neighborhood racial composition contributes to racial/ethnic inequities in access to high-quality dialysis care in Chicago.

METHODS

Data are drawn from the United States Renal Data System merged to the ESRD Quality Incentive Program file and the American Community Survey (2005-2009) for facility and neighborhood characteristics (N = 2797). Outcomes included (1) spatial access (travel time to dialysis facilities) and (2) realized access (actual use of quality care). Neighborhood racial/ethnic composition was categorized into four types: predominantly White, Black, and Hispanic neighborhoods, and racially integrated neighborhoods.

RESULTS

Blacks lived closer to a dialysis facility but traveled the same distance to their own dialysis compared with Whites. Hispanics had longer travel time to any dialysis than Whites, and the difference between Hispanics and Whites became no longer significant after adjusting for neighborhood racial/ethnic composition. Blacks and Hispanics had better access to a high-quality facility if they lived in integrated neighborhoods (OR = 1.85 and 3.77, respectively, p < 0.01) or in neighborhoods with higher concentrations of their own race/ethnicity (OR = 1.68 for Blacks in Black neighborhoods and 1.92 for Hispanics in Hispanic neighborhoods, p < 0.05) compared with Whites in predominantly White neighborhoods.

CONCLUSION

Expanding opportunities for Blacks and Hispanics to gain access to racially integrated and minority neighborhoods may help alleviate racial/ethnic inequities in access to quality care among kidney disease patients.

Neighborhood Disadvantage and Hospital Quality Ratings in the Medicare Hospital Compare Program

BACKGROUND

The Centers for Medicare and Medicaid Services provide nationwide hospital ratings that may influence reimbursement. These ratings do not account for the social risk of communities and may inadvertently penalize hospitals that service disadvantaged neighborhoods.

OBJECTIVE

This study examines the relationship between neighborhood social risk factors (SRFs) and hospital ratings in Medicare's Hospital Compare Program.

RESEARCH DESIGN

2017 Medicare Hospital Compare ratings were linked with block group data from the 2015 American Community Survey to assess hospital ratings as a function of neighborhood SRFs.

SUBJECTS

A total of 3608 Medicare-certified hospitals in 50 US states.

MEASURES

Hospital summary scores and 7 quality group scores (100 percentile scale), including effectiveness of care, efficiency of care, hospital readmission, mortality, patient experience, safety of care, and timeliness of care.

RESULTS

Lower hospital summary scores were associated with caring for neighborhoods with higher social risk, including a reduction in hospital score for every 10% of residents who reported dual-eligibility for Medicare/Medicaid [-3.3%; 95% confidence interval (CI), -4.7 to -2.0], no high-school diploma (-0.8%; 95% CI, -1.5 to -0.1), unemployment (-1.2%; 95% CI, -1.9 to -0.4), black race (-1.2%; 95% CI, -1.7 to -0.8), and high travel times to work (-2.5%; 95% CI, -3.3 to -1.6). Associations between neighborhood SRFs and hospital ratings were largest in the timeliness of care, patient experience, and hospital readmission groups; and smallest in the safety, efficiency, and effectiveness of care groups.

CONCLUSIONS

Hospitals serving communities with higher social risk may have lower ratings because of neighborhood factors. Failing to account for neighborhood social risk in hospital rating systems may reinforce hidden disincentives to care for medically underserved areas in the United States.

Urban gentrification and declining access to HIV/STI, sexual health, and outreach services amongst women sex workers between 2010-2014: Results of a community-based longitudinal cohort

Despite increasing gentrification across North American cities, little is known about impacts on work and living environments and health access for marginalized women. Drawing upon prospective cohort and external spatial data, we examined changes in land use and sex workers' work/living environments in relation to gentrification exposure in Metro Vancouver (2010-2014), and modeled independent effects of gentrification exposure on reduced utilization of HIV/STI testing, sexual health, and sex worker support services. These decreases occurred despite efforts to scale-up HIV services for marginalized populations. Planning of healthcare, housing, and other support services should be responsive to shifting urban landscapes for marginalized women.

Determinants of Residential Preferences Related to Built and Social Environments and Concordance between Neighborhood Characteristics and Preferences

We explored associations between residential preferences and sociodemographic characteristics, the concordance between current neighborhood characteristics and residential preferences, and heterogeneity in concordance by income and race/ethnicity. Data came from a cross-sectional phone and mail survey of 3668 residents of New York City, Baltimore, Chicago, Los Angeles, St. Paul, and Winston Salem in 2011-12. Scales characterized residential preferences and neighborhood characteristics. Stronger preferences were associated with being older, female, non-White/non-Hispanic, and lower education. There was significant positive but weak concordance between current neighborhood characteristics and residential preferences (after controlling sociodemographic characteristics). Concordance was stronger for persons with higher income and for Whites, suggesting that residential self-selection effects are strongest for populations that are more advantaged.

Obesity and the Built Environment: A Reappraisal

The built environment (BE) has been viewed as an important determinant of health. Numerous studies have linked BE exposure, captured using a variety of methods, to diet quality and to area prevalence of obesity, diabetes, and cardiovascular disease. First-generation studies defined the neighborhood BE as the area around the home. Second-generation studies turned from home-centric to person-centric BE measures, capturing an individual's movements in space and time. Those studies made effective uses of global positioning system tracking devices and mobile phones, sometimes coupled with accelerometers and remote sensors. Activity space metrics explored travel paths, modes, and destinations to assess BE exposure that was both person and context specific. However, as measures of the contextual exposome have become ever more fine-grained and increasingly complex, connections to long-term chronic diseases with complex etiologies, such as obesity, are in danger of being lost. Furthermore, few studies on obesity and the BE have included intermediate energy balance behaviors, such as diet and physical activity, or explored the potential roles of social interactions or psychosocial pathways. Emerging survey-based applications that identify habitual destinations and associated travel patterns may become the third generation of tools to capture health-relevant BE exposures in the long term.

New research directions on disparities in obesity and type 2 diabetes

Obesity and type 2 diabetes disproportionately impact U.S. racial and ethnic minority communities and low-income populations. Improvements in implementing efficacious interventions to reduce the incidence of type 2 diabetes are underway (i.e., the National Diabetes Prevention Program), but challenges in effectively scaling-up successful interventions and reaching at-risk populations remain. In October 2017, the National Institutes of Health convened a workshop to understand how to (1) address socioeconomic and other environmental conditions that perpetuate disparities in the burden of obesity and type 2 diabetes; (2) design effective prevention and treatment strategies that are accessible, feasible, culturally relevant, and acceptable to diverse population groups; and (3) achieve sustainable health improvement approaches in communities with the greatest burden of these diseases. Common features of guiding frameworks to understand and address disparities and promote health equity were described. Promising research directions were identified in numerous areas, including study design, methodology, and core metrics; program implementation and scalability; the integration of medical care and social services; strategies to enhance patient empowerment; and understanding and addressing the impact of psychosocial stress on disease onset and progression in addition to factors that support resiliency and health.

Parenting within residential neighborhoods: A pluralistic approach with African American and Latino families at the center

The intersection of SES and race-ethnicity impact youth development at the family and neighborhood levels. The confluence of neighborhood structural and social characteristics intersects to impact parenting multiple ways. Within lower-income neighborhoods, there is variability in economic and racial-ethnic demographics and social characteristics and a multitude of different lived experiences. We use a person-centered approach to understand how a plurality of neighborhood social characteristics shape parents' ethnic-racial socialization and monitoring strategies, normative parenting practices for diverse families. With 144 African American and Latino families in a new destination context-areas lacking an enduring historical and economic presence of same-ethnic populations-we examined whether we could replicate neighborhood profiles found in other neighborhood contexts using four neighborhood social process indicators (i.e., connectedness, cohesion and trust, informal social control, and problems), identified family- and neighborhood-level predictors of profiles, and explored differences in ethnic-racial socialization and parental monitoring knowledge by profile. We replicated three neighborhood profiles-integral (high on all positive social dynamics and low problems), anomic (low on all positive social dynamics and high problems), and high problems/positive relationships. Caregivers in these profiles differed in family SES and neighborhood disadvantage such that those in anomic neighborhoods had the lowest income-to-needs ratio whereas those in integral neighborhoods experienced the highest neighborhood disadvantage and lowest proportion of Hispanic residents. Egalitarianism, an ethnic-racial socialization message, and parental monitoring levels differed by neighborhood. Findings suggest African American and Latino families' unique experiences in a new destination context, signaling a complex interplay between race-ethnicity, SES, and place.

Race/Ethnicity and Geographic Access to Urban Trauma Care

IMPORTANCE

Little is known about the distribution of life-saving trauma resources by racial/ethnic composition in US cities, and if racial/ethnic minority populations disproportionately live in US urban trauma deserts.

OBJECTIVE

To examine racial/ethnic differences in geographic access to trauma care in the 3 largest US cities, considering the role of residential segregation and neighborhood poverty.

DESIGN, SETTING, AND PARTICIPANTS

A cross-sectional, multiple-methods study evaluated census tract data from the 2015 American Community Survey in Chicago, Illinois; Los Angeles (LA), California; and New York City (NYC), New York (N = 3932). These data were paired to geographic coordinates of all adult level I and II trauma centers within an 8.0-km buffer of each city. Between February and September 2018, small-area analyses were conducted to assess trauma desert status as a function of neighborhood racial/ethnic composition, and geospatial analyses were conducted to examine statistically significant trauma desert hot spots.

MAIN OUTCOMES AND MEASURES

In small-area analyses, a trauma desert was defined as travel distance greater than 8.0 km to the nearest adult level I or level II trauma center. In geospatial analyses, relative trauma deserts were identified using travel distance as a continuous measure. Census tracts were classified into (1) racial/ethnic composition categories, based on patterns of residential segregation, including white majority, black majority, Hispanic/Latino majority, and other or integrated; and (2) poverty categories, including nonpoor and poor.

RESULTS

Chicago, LA, and NYC contained 798, 1006, and 2128 census tracts, respectively. A large proportion comprised a black majority population in Chicago (35.1%) and NYC (21.4%), compared with LA (2.7%). In primary analyses, black majority census tracts were more likely than white majority census tracts to be located in a trauma desert in Chicago (odds ratio [OR], 8.48; 95% CI, 5.71-12.59) and LA (OR, 5.11; 95% CI, 1.50-17.39). In NYC, racial/ethnic disparities were not significant in unadjusted models, but were significant in models adjusting for poverty and race-poverty interaction effects (adjusted OR, 1.87; 95% CI, 1.27-2.74). In comparison, Hispanic/Latino majority census tracts were less likely to be located in a trauma desert in NYC (OR, 0.03; 95% CI, 0.01-0.11) and LA (OR, 0.30; 95% CI, 0.22-0.40), but slightly more likely in Chicago (OR, 2.38; 95% CI, 1.56-3.64).

CONCLUSIONS AND RELEVANCE

In this study, black majority census tracts were the only racial/ethnic group that appeared to be associated with disparities in geographic access to trauma centers.

The National Institute on Minority Health and Health Disparities Research Framework

We introduce the National Institute on Minority Health and Health Disparities (NIMHD) research framework, a product that emerged from the NIMHD science visioning process. The NIMHD research framework is a multilevel, multidomain model that depicts a wide array of health determinants relevant to understanding and addressing minority health and health disparities and promoting health equity. We describe the conceptual underpinnings of the framework and define its components. We also describe how the framework can be used to assess minority health and health disparities research as well as priorities for the future. Finally, we describe how fiscal year 2015 research project grants funded by NIMHD map onto the framework, and we identify gaps and opportunities for future minority health and health disparities research.

Lessons for achieving health equity comparing Aotearoa/New Zealand and the United States

Aotearoa/New Zealand (Aotearoa/NZ) and the United States (U.S.) suffer inequities in health outcomes by race/ethnicity and socioeconomic status. This paper compares both countries' approaches to health equity to inform policy efforts. We developed a conceptual model that highlights how government and private policies influence health equity by impacting the healthcare system (access to care, structure and quality of care, payment of care), and integration of healthcare system with social services. These policies are shaped by each country's culture, history, and values. Aotearoa/NZ and U.S. share strong aspirational goals for health equity in their national health strategy documents. Unfortunately, implemented policies are frequently not explicit in how they address health inequities, and often do not align with evidence-based approaches known to improve equity. To authentically commit to achieving health equity, nations should: 1) Explicitly design quality of care and payment policies to achieve equity, holding the healthcare system accountable through public monitoring and evaluation, and supporting with adequate resources; 2) Address all determinants of health for individuals and communities with coordinated approaches, integrated funding streams, and shared accountability metrics across health and social sectors; 3) Share power authentically with racial/ethnic minorities and promote indigenous peoples' self-determination; 4) Have free, frank, and fearless discussions about impacts of structural racism, colonialism, and white privilege, ensuring that policies and programs explicitly address root causes.