Relationship between Neighborhood-Level Social Risk Factor Measures and Presenting Glaucoma Severity Utilizing Multilevel Modeling.

Purpose: The neighborhood and built environment social determinant of health domain has several social risk factors (SRFs) that are modifiable through policy efforts. We investigated the impact of neighborhood-level SRFs on presenting glaucoma severity at a tertiary eye care center. Design: A cross-sectional study from August 2012 to May 2022 in the University of Michigan electronic health record (EHR). Participants: Patients with a diagnosis of any open-angle glaucoma with ≥1 eye care visit at the University of Michigan Kellogg Eye Center and ≥1 reliable visual field (VF). Methods: Participants who met inclusion criteria were identified by International Classification of Diseases ninth and tenth revision codes (365.x/H40.x). Data extracted from the EHR included patient demographics, address, presenting mean deviation (MD), and VF reliability. Addresses were mapped to SRF measures at the census tract, block group, and county levels. Multilevel linear regression models were used to estimate the fixed effects of each SRF on MD, after adjusting for patient-level demographic factors and a random effect for neighborhood. Interactions between each SRF measure with patient-level race and Medicaid status were tested for an additive effect on MD. Main Outcome Measures: The main outcome measure was the effect of SRF on presenting MD. Results: In total, 4428 patients were included in the analysis who were, on average, 70.3 years old (standard deviation = 11.9), 52.6% self-identified as female, 75.8% self-identified as White race, and 8.9% had Medicaid. The median value of presenting MD was -4.94 decibels (dB) (interquartile range = -11.45 to -2.07 dB). Neighborhood differences accounted for 4.4% of the variability in presenting MD. Neighborhood-level measures, including worse area deprivation (estimate, ß = -0.31 per 1-unit increase; P < 0.001), increased segregation (ß = -0.92 per 0.1-unit increase in Theil's H index; P < 0.001), and increased neighborhood Medicaid (ß = -0.68; P < 0.001) were associated with worse presenting MD. Significant interaction effects with race and Medicaid status were found in several neighborhood-level SRF measures. Conclusions: Although patients' neighborhood SRF measures accounted for a minority of the variability in presenting MD, most neighborhood-level SRFs are modifiable and were associated with clinically meaningful differences in presenting MD. Policies that aim to reduce neighborhood inequities by addressing allocation of resources could have lasting impacts on vision outcomes. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

How has health literacy and digital health literacy scholarship evolved? A global, qualitative study.

Health literacy (HL) is a key social determinant of health (SDoH) and is of increasing importance in public health research and intervention for improved health outcomes. Definitions of HL and digital health literacy (DHL) have evolved over time as the field has expanded conceptualization from an individual focus to the broader community and organizational levels. Careful consideration of HL and DHL for a variety of contexts and audiences is critical given increased global adoption of digital technologies and responses to emerging public health challenges. This study aimed to capture researchers' conceptualizations of HL/DHL and their motivations to engage in this research with attention to SDoH and equity principles. We developed a survey comprising 32 open-ended and multiple-choice questions from which we present participant demographics and overall research affiliations (n = 193), and results from two multiple-choice and three open-ended questions. The three open-ended questions were inductively reviewed and coded using thematic analysis and iterative discussions between multiple coders, while the two multiple-choice questions were descriptively analyzed via SPSS. Findings are situated within the context of the coronavirus disease 2019 (COVID-19) pandemic and inform the international field of HL/DHL research by highlighting momentum and opportunities for increased scholarship.

Vision and Goals as the New Editor-in-Chief of Global Pediatric Health.

As the newly appointed Editor-in-Chief (EIC) of Global Pediatric Health (GPH), it is both an honor and a privilege to lead this prestigious journal, building upon the strong foundation established by my predecessor, Dr. Aishat Akere. Under her leadership and that of her predecessors, GPH has grown into a globally recognized platform for clinical studies, case studies, public health research, and health services delivery practices focused on the pediatric population. Dr. Akere's tenure was marked by significant achievements, including the expansion of the Editorial Board, which strengthened the journal's editorial team and expanded its global reach. My appointment comes at a time when the landscape of academic publishing is rapidly evolving, particularly with the rise in the number of online journals. Despite these changes, GPH continues to stand out, receiving over 230 submissions and more than 350 000 downloads in the year 2023 alone. These numbers reflect not only the journal's relevance but also the trust that researchers and clinicians worldwide place in GPH as a reliable source of high-quality pediatric health research. As I step into this role, my vision is to further elevate the journal's standing and impact by focusing on several key goals that align with the needs of our authors, the global community, and the field of pediatric health at large.

Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notes.

Objective: We aimed to investigate the impact of social circumstances on cancer therapy selection using natural language processing to derive insights from social worker documentation. Materials and Methods: We developed and employed a Bidirectional Encoder Representations from Transformers (BERT) based approach, using a hierarchical multi-step BERT model (BERT-MS), to predict the prescription of targeted cancer therapy to patients based solely on documentation by clinical social workers. Our corpus included free-text clinical social work notes, combined with medication prescription information, for all patients treated for breast cancer at UCSF between 2012 and 2021. We conducted a feature importance analysis to identify the specific social circumstances that impact cancer therapy regimen. Results: Using only social work notes, we consistently predicted the administration of targeted therapies, suggesting systematic differences in treatment selection exist due to non-clinical factors. The findings were confirmed by several language models, with GatorTron achieving the best performance with an area under the receiver operating characteristic curve (AUROC) of 0.721 and a Macro F1 score of 0.616. The UCSF BERT-MS model, capable of leveraging multiple pieces of notes, surpassed the UCSF-BERT model in both AUROC and Macro-F1. Our feature importance analysis identified several clinically intuitive social determinants of health that potentially contribute to disparities in treatment. Discussion: Leveraging social work notes can be instrumental in identifying disparities in clinical decision-making. Hypotheses generated in an automated way could be used to guide patient-specific quality improvement interventions. Further validation with diverse clinical outcomes and prospective studies is essential. Conclusions: Our findings indicate that significant disparities exist among breast cancer patients receiving different types of therapies based on social determinants of health. Social work reports play a crucial role in understanding these disparities in clinical decision-making.

The intersection of melanoma survival and social determinants of health in the United States: A systematic review.

Background: Despite recent improvements in melanoma survival rates, persistent inequalities pose barriers to care for some patients. Objective: To assess the influence of social determinants of health (SDoH) on melanoma treatment outcomes. Methods: A systematic review (Prospective Register of Systematic Reviews CRD42022346854) of manuscripts that examined the association between SDoH and melanoma treatment-related outcomes in the United States was conducted using 5 databases. Results: The analysis encompassed data from 12 retrospective manuscripts. The SDoH domains most frequently investigated were health care access and quality (n = 6 manuscripts, 50%) and economic stability (n = 7, 58.3%). Other domains included social and community context (n = 5, 41.7%) and education access (n = 3, 25%). These findings revealed significant correlations between poor melanoma survival and low levels of economic stability, limited education, government health insurance, and being uninsured and unmarried. Limitations: Many SDoH were not analyzed at the patient level. SDoH are vast categories, but manuscripts usually analyze one aspect of a particular category. Conclusions: These results highlight the need for physicians to recognize the substantial impact of SDoH on melanoma outcomes and to adopt more comprehensive strategies focused on patient-centered care. Integrating social support mechanisms into clinical practice emerges as a key mechanism to promote equitable and effective interventions.

Health disparities in the risk of severe acidosis: real-world evidence from the All of Us cohort.

OBJECTIVE: To assess the health disparities across social determinants of health (SDoH) domains for the risk of severe acidosis independent of demographical and clinical factors. MATERIALS AND METHODS: A retrospective case-control study (n = 13 310, 1:4 matching) is performed using electronic health records (EHRs), SDoH surveys, and genomics data from the All of Us participants. The propensity score matching controls confounding effects due to EHR data availability. Conditional logistic regressions are used to estimate odds ratios describing associations between SDoHs and the risk of acidosis events, adjusted for demographic features, and clinical conditions. RESULTS: Those with employer-provided insurance and those with Medicaid plans show dramatically different risks [adjusted odds ratio (AOR): 0.761 vs 1.41]. Low-income groups demonstrate higher risk (household income less than $25k, AOR: 1.3-1.57) than high-income groups ($100-$200k, AOR: 0.597-0.867). Other high-risk factors include impaired mobility (AOR: 1.32), unemployment (AOR: 1.32), renters (AOR: 1.41), other non-house-owners (AOR: 1.7), and house instability (AOR: 1.25). Education was negatively associated with acidosis risk. DISCUSSION: Our work provides real-world evidence of the comprehensive health disparities due to socioeconomic and behavioral contributors in a cohort enriched in minority groups or underrepresented populations. CONCLUSIONS: SDoHs are strongly associated with systematic health disparities in the risk of severe metabolic acidosis. Types of health insurance, household income levels, housing status and stability, employment status, educational level, and mobility disability play significant roles after being adjusted for demographic features and clinical conditions. Comprehensive solutions are needed to improve equity in healthcare and reduce the risk of severe acidosis.

Breast cancer diagnosis and staging in Chile: A non-randomized survey-based study to assess frequency and delays. / Diagnóstico y etapificación de cáncer de mama en Chile: estudio por encuesta no probabilística de III a IV frecuencia y tiempos.

Introduction: Breast cancer progression involves physiological mechanisms such as metastasis. Delays in diagnosis and treatment increase the risk of mortality and are associated with barriers to healthcare access. In Chile, breast cancer is highly prevalent, and early diagnosis has improved, although disparities in the disease evolution persist. This study characterized diagnostic and staging tests, waiting times, and sociodemographic profiles to identify delays and inequities in care. Methods: Survey study. Using a non-probabilistic sample, a questionnaire was applied in an encrypted platform with prior informed consent. The instrument collected data on requested tests, associated times, staging, and sociodemographic characteristics. These variables were analyzed using descriptive statistics, tests of association, confidence intervals, and comparison tests using bootstrapping. Results: A sample of 263 persons was obtained. The most requested tests were biopsy (99.62%) and blood tests (80.23%). The median number of tests requested was six (Q1:4, Q3:8), with a mean of 5.87 (standard deviation: 2.24). No significant differences were observed in the percentage of persons from whom the total number of examinations were requested according to the studied variables. The day-hour-result intervals ranged from 1 to 365 days. The median day-hour-result of the biopsy was 15 days (Q1:10, Q3:30). People between 40 and 49 years old, non-residents of the capital city, belonging to income quintile I, with high school education, from the public health system, with late-stage diagnosis had higher median day-hour-result in biopsy. There was no significant difference in the number of requested tests according to staging (I and II, or III and IV). Conclusions: Biopsy in Chile is the test of choice for diagnostic confirmation in breast cancer. Other tests are requested regardless of the diagnosis stage, contrary to the recommendations of clinical guidelines. Cancer prognosis is crucial, especially in countries with greater inequalities.

Introducción: La progresión del cáncer de mama involucra mecanismos fisiológicos como metástasis. Los retrasos en diagnóstico y tratamiento aumentan el riesgo de mortalidad y se asocian a barreras de acceso a la salud. En Chile, el cáncer de mama es altamente prevalente y su diagnóstico temprano ha mejorado, aunque persisten disparidades en el proceso de enfermedad. Este estudio caracterizó exámenes de diagnóstico y etapificación, tiempos de espera y perfiles sociodemográficos para identificar demoras e inequidades en la atención. Métodos: Estudio de encuesta. Utilizando una muestra no probabilística, se aplicó un cuestionario en plataforma encriptada previo consentimiento informado. En el instrumento se recogieron datos de exámenes solicitados, tiempos asociados, etapificación y características sociodemográficas. Estas variables fueron analizadas utilizando estadística descriptiva, test de asociación, intervalos de confianza y test de comparación utilizando . Resultados: Se logró una muestra de 263 personas. Los exámenes más solicitados fueron biopsia (99,62%) y exámenes de sangre (80,23%). La mediana de exámenes solicitados fue de 6 (Q1:4, Q3:8), con media 5,87 (desviación estándar: 2,24). No se observaron diferencias significativas en el porcentaje de personas a quienes se solicitó la totalidad de exámenes según variables estudiadas. Los intervalos día-hora-resultado oscilaron entre 1 y 365 días. La mediana día-hora-resultado de la biopsia fue de 15 días (Q1:10, Q3:30). Las personas entre 40 y 49 años, no residentes de la capital, pertenecientes al quintil I de ingreso, con educación media, del sistema público de salud, con diagnóstico en etapa tardía presentaron mayores medianas de día-hora-resultado en biopsia. No hubo diferencia significativa en la cantidad de exámenes solicitados según etapificación (I a II y III a IV). Conclusiones: La biopsia en Chile es el examen de elección para la confirmación diagnóstica en cáncer de mama. Otros exámenes son solicitados independientemente de la etapa del diagnóstico, existiendo una discordancia con las recomendaciones de la guía clínica. El pronóstico del cáncer es crucial, especialmente en países con mayores inequidades.

Racial and ethnic disparities in mental health among breast cancer patients and survivors in the United States.

OBJECTIVE: To decompose the mental health disparities between breast cancer patients and survivors (hereafter survivors) of racial and ethnic minority groups and non-Hispanic White survivors into the contributions of individual-, interpersonal-, community-, and societal-level determinants. DATA SOURCES AND STUDY SETTING: We used data from the 2010-2020 Medical Expenditure Panel Survey Household Component (MEPS-HC). Our primary outcome was whether the person had mental health conditions or not. STUDY DESIGN: We employed the Kitagawa-Oaxaca-Blinder (KOB) method to understand to what extent the differences in outcomes were explained by the differences in the determinants between non-Hispanic Black or Hispanic breast cancer survivors and non-Hispanic White survivors. We also bifurcated the Hispanic sample analysis by the US-born status (and county of origin). DATA COLLECTION/EXTRACTION METHODS: Confidential geographic identifiers are utilized to supplement the MEPS-HC data with information on community characteristics and local healthcare resources. PRINCIPAL FINDINGS: The prevalence of mental health conditions among non-Hispanic Black and Hispanic breast cancer survivors was 26.1% (95% CI: 20.4, 31.7) and 28.3% (95% CI: 21.9, 34.6), respectively. These rates were higher than those for their non-Hispanic White counterparts, 19.7% (95% CI: 17.4, 21.9). In our KOB model, the disparity between non-Hispanic Black and White survivors was fully explained by differences in education, health, and family structure, with community- and societal-level determinants playing no significant role. Conversely, our KOB model did not explain any of the overall differences between Hispanic and non-Hispanic White survivors. However, for foreign-born Hispanic survivors, the disparity was fully explained by a combination of individual- and societal-level determinants. CONCLUSIONS: Our findings, which identify specific individual-, interpersonal-, and societal- determinants that were associated with racial and ethnic differences in mental health, can be used by clinicians and policymakers to proactively address racial and ethnic disparities in health.

Exploration of oral hygiene practices, oral health status, and related quality of life of individuals residing in the Rorya district of Tanzania, East Africa.

Introduction: Oral health substantially impacts individuals' quality of life, making it an important target for global health interventions. This research describes oral health status, practices, and beliefs within the Rorya district of Tanzania to understand barriers to care. Methods: To quantify physical oral health status, intraoral examinations were conducted on adults, noting the Decayed Missing and Filled Teeth (DMFT) and Comprehensive Periodontal Inflammatory Burden Index (CPBI). Oral Health-Related Quality of Life (OHRQoL) and semi-structured interviews were conducted to understand oral hygiene behaviors and beliefs. Data was analyzed via two-sample t-tests, Pearson's statistics, and NVIVO. Results: A purposive sample (n = 139) of participants self-reported to reside in either Burere (n = 32), Nyambogo (n = 52), or Roche (n = 55) were assessed. A two-sample t-test revealed females (n = 67; x¯ = 7.1; SD = 5.4; p < 0.05) have a significantly higher DMFT score than males (n = 72; x¯ = 3.7; SD = 3.9). Moreover, the OHRQoL score of females (n = 67; x¯ = 12.10; SD = 14; p < 0.05) were significantly higher than males (n = 72; x¯ = 10.16; SD = 3). In contrast, males have significantly higher CPBI scores (x¯ = 3.8; SD = 1.5; p=<0.05) than females (x¯ = 3.0; SD = 1.3). Additionally, older age groups presented higher GI and PISA scores, while the younger group (20-30 years) displayed the highest mean DMFT score. The themes that emerged from semi-structured interviews were "pearls of laughter guarded by wisdom teeth," "whispered tales of oral tides and communal echoes," and "tales of the tooth fairy." Discussion: In this community, proper oral health maintenance techniques are vital yet frequently disregarded, mainly due to disparities in access to resources, reflected in oral health scores. Addressing this is a crucial intervention, presenting an opportunity to uplift overall well-being. Moreover, gender and age disparities in oral health highlight the urgent need for tailored interventions.

Socioeconomic Status and Obesity.

Obesity is a pervasive public health problem that causes debilitating complications across the life course. One opportunity for preventing the onset of obesity is to focus on its social determinants. Socioeconomic status (SES), which includes factors such as income, educational attainment, occupational prestige, and access to resources, is a key determinant of obesity. In this scoping mini-review, we summarized review articles and meta-analyses of the SES-obesity association. From the 1980s to the present, cross-sectional studies have demonstrated a persistent socioeconomic gradient in obesity in which the association is negative in developed countries and positive in developing countries. Longitudinal studies have revealed the bidirectionality of the SES-obesity association; some studies demonstrate that socioeconomic adversity precedes the onset of obesity, while others provide evidence of reverse causality. While earlier studies relied on anthropometric assessments of weight and height to define obesity, the use of modern technologies like dual-energy x-ray absorptiometry and bioelectrical impedance have demonstrated that the socioeconomic gradient in obesity is robust across multiple indicators of body composition, including direct measures of lean and fat mass. More recently, examination of mediators and moderators of the SES-obesity association have highlighted causal pathways and potential intervention targets, with a focus on health behaviors, environmental conditions, psychological factors, and biological processes. We describe current gaps in knowledge and propose opportunities for future innovation to reduce the burden of obesity and related socioeconomic disparities.

Evaluating the Predictive Accuracy of Socioeconomic Metrics on Heart Failure Risk and Outcomes in Maryland.

Introduction Annually, a significant number of Americans are hospitalized due to heart failure (HF), marking it as an important contributor to morbidity and mortality. It also poses a substantial financial burden and leads to considerable losses in productivity. Socioeconomic disparities may intensify the risk of hospital admissions following HF and worsen patient outcomes.  Objective This study investigates the predictive accuracy of different socioeconomic metrics on the risk and outcomes of HF in Maryland.  Methodology To evaluate the predictive accuracy of various socioeconomic metrics on the risk of HF, we utilized data from the Maryland State Inpatient Database. Our retrospective analysis covered hospital admissions for HF from 2016 to 2020, correlating these with poverty indicators derived from U.S. Census data at the zip code level with socioeconomic metrics like race/ethnicity, insurance, household median income, and neighborhood distress (Distressed Communities Index (DCI)). Multivariate logistic regression models adjusted for confounders and isolated the impact of socioeconomic factors.  Result During the study period, a total of 389,220 cases of HF were reported in the Maryland State Inpatient Database (SID). The majority of these patients were White individuals (56.8%) and female (51.1%), with a median age of 73 years (interquartile range (IQR) 62-82 years). The in-hospital mortality rate was 5.1%, while rates of atrial fibrillation, cardiac arrest, and prolonged hospital stay were 34.4%, 0.3%, and 48.4%, respectively. The studied socioeconomic metrics showed varying predictive power for the risk of HF-related admissions and selected outcomes, with the highest predictive accuracy for neighborhood distress on the risk of HF (AUC = 0.53, 95% CI 0.530-0.532), atrial fibrillation (AUC = 0.479, 95% CI 0.477-0.480), cardiac arrest (AUC = 0.511, 95% CI 0.498-0.525), prolonged hospital stays (AUC = 0.531, 95% CI 0.530-0.532), and mortality (AUC = 0.499, 95% CI 0.496-0.502).  Conclusions The Distressed Communities Index demonstrates significant predictive power for assessing the risk of hospital admissions following HF and outcomes among individuals with HF, exceeding factors like insurance, race/ethnicity, and household median income.

A Polysocial Approach in Exploring Racial and Ethnic Differences in Dementia and Cognitive Decline Among U.S. Older Adults: Health and Retirement Study.

Background and Objectives: The racial or ethnic disparity in the burden of dementia exists among older adults in the United States, whereas gaps remain in understanding the synergic effect of multiple social determinants of health on diminishing this disparity. We aim to build a polysocial score for dementia and investigate the racial or ethnic difference in dementia risk among older persons with different polysocial score categories. Research Design and Methods: In this prospective cohort study, we utilized longitudinal data from the Health and Retirement Study in the United States recruiting 6 945 participants aged ≥65 years who had data on 24 social determinants of health in 2006/2008. The dementia status of participants was measured by a modified version of the Telephone Interview of Cognitive Status. The stepwise Cox regression was applied to select social determinants of health associated with incident dementia to construct a polysocial score. The multivariable Poisson model and linear mixed model were utilized to investigate the associations between polysocial score and incident dementia and cognitive decline, respectively. Results: Eight social determinants of health were used to build the polysocial score. Non-Hispanic Black older participants had a higher incidence rate (incidence rate difference [IRD] = 22.7; 95% confident interval [95% CI] = 12.7-32.8) than non-Hispanic White older adults in the low polysocial score, while this difference was substantially attenuated in the high polysocial score category (IRD = 0.5; 95% CI = -6.4 to -7.5). The cognitive decline of non-Hispanic older Black adults with high polysocial score was 84.6% slower (averaged cognitive decline: non-Hispanic White: -2.4 [95% CI = -2.5 to -2.3] vs non-Hispanic Black: -1.3 [95% CI = -1.9 to -0.8]) than that of non-Hispanic older White persons. Discussion and Implications: These findings may help comprehensively understand and address racial and ethnic disparities in dementia risk and may be integrated into existing dementia prevention programs to provide targeted interventions for community-dwelling older adults with differentiated social disadvantages.

Risk factors associated with child maltreatment in the second generation of a prospective longitudinal Australian birth cohort: A MUSP study.

BACKGROUND: Abuse and neglect affect over 1.7 billion children worldwide. While the consequences of child maltreatment (CM) across the life course are well understood, there remains ambiguity surrounding the risk factors associated with CM. This exploratory study examined the extent to which a wide range of sociodemographic, prenatal, and postpartum risk factors are associated with CM notifications in an Australian birth cohort. METHODS: This was a prospective longitudinal birth cohort study using data from the Mater-University of Queensland Study of Pregnancy (MUSP) which began in 1981. Child protection data were linked to MUSP records, identifying agency-reported and substantiated CM notifications (including subtypes) up to 16 years of age. A range of sociodemographic and perinatal risk factors were examined. RESULTS: Children experienced higher odds of any agency-reported CM if their mothers did not have a high school education, had pregnancies at a young age, and were socially isolated postpartum. Similar risk factors were associated with substantiated CM. Female children had increased odds of both agency-reported and substantiated sexual abuse. Children born into large families had increased odds of agency-reported and substantiated neglect. First Nations status was not associated with any form of CM. CONCLUSIONS: Several individual, familial, and social risk factors were associated with CM in this cohort. Notably, different CM subtypes were associated with different risk factors. This research highlights key modifiable factors to support early intervention and prevention of CM.

Inequalities in Transitions to Home Care: A Longitudinal Analysis of the Canadian Longitudinal Study on Aging.

OBJECTIVES: To investigate inequalities in transitions to home care across a broad set of demographic and socioeconomic factors in Canadian middle-aged and older adults. DESIGN: Longitudinal, retrospective cohort study. SETTING AND PARTICIPANTS: A total of 51,338 community-dwelling adults aged 45+ years, using national data from the Canadian Longitudinal Study on Aging across 3 timepoints from 2011 to 2021. METHODS: We analyzed transitions in home care use using multistate Markov models, with home care use and nonuse as transient states, and loss to follow-up as a terminal state. We calculated hazard ratios for transitions between states adjusting for factors related to home care need (ie, functional limitations, chronic conditions) within the following equity strata: income, education, immigration history, sex, gender, rurality, racial background, and tangible social support. RESULTS: Across all timepoints, 5.4% of non-home care users transitioned to home care by the next timepoint and 33.2% of home care users continued to use home care at the next timepoint. Among non-home care users, identifying as a woman, female, White, completing higher levels of education, having higher income, and having less support available was associated with an increased likelihood of transitioning to home care use. Among home care users, higher income was also associated with a greater likelihood to discontinue using home care compared with lower income users. The association between income and home care use was stronger among female individuals. CONCLUSIONS AND IMPLICATIONS: We found meaningful differences in home care transitions across several equity strata. Individuals with higher income have greater ability to access to private care, creating inequity in access to home care services. Gendered factors such as income and social support have important associations with home care use. Home care planning and policy must address the unique barriers and disadvantages diverse populations face to ensure equitable use of home care and promote healthy aging.

Comparing the Health Status of Immigrant and New Zealand-Born Older Adults in Aotearoa New Zealand: The Role of Socioeconomic Position.

OBJECTIVES: The study investigated the health status of older migrants relative to their New Zealand-born peers. We adopted a holistic view of health (physical, mental, and social) and a structural approach to health disparities based on migrant status and socioeconomic position. METHODS: Using case-control matching based on age, gender, and education, the health status of 357 older migrants and 357 New Zealand-born older adults was compared. RESULTS: Older migrants reported significantly poorer social health. Health inequities were patterned by socioeconomic status. Working class older migrants had significantly poorer physical, mental, and social health than their New Zealand-born peers. Inequities in social wellbeing persisted even at the upper end of the social gradient. DISCUSSION: Migrant background is an important social determinant of health in older age. The reduced social wellbeing of economically advantaged migrants highlights vulnerabilities regardless of socioeconomic position and the need for targeted social policies.

Characterizing the relationship between social determinants of health and risk of albuminuria among children with type 1 diabetes.

In a cohort of 2303 children with type 1 diabetes (T1D), we found that non-English speaking status (HR 2.82, 95% CI 1.54-5.18) and public insurance (HR 1.48, 95% CI 1.07-2.05) were associated with an increased risk of incident albuminuria, after adjusting for T1D-related variables (age, hemoglobin A1c, diabetic ketoacidosis episodes with acute kidney injury).

Racial, Ethnic, and Socioeconomic Disparities in Pediatric Aquaporin-4-Positive Neuromyelitis Optica Spectrum Disorder.

BACKGROUND: Only 5% of aquaporin-4-positive neuromyelitis optica spectrum disorder (AQP4+ NMOSD) cases emerge during childhood. Poorer outcomes have been suggested in black/African American (AA) adults with NMOSD; however, conflicting and limited data exist for pediatric-onset NMOSD. This study evaluates racial, ethnic, and socioeconomic disparities in pediatric AQP4+ NMOSD outcomes. METHODS: Thirty-eight pediatric patients with AQP4+ NMOSD cared for at three pediatric tertiary care centers between 2009 and 2021 were identified. Patient addresses connected to socioeconomic measures available from the US Census. Demographic characteristics, pertinent clinical outcomes, and health care utilization in the two years following diagnosis were captured. RESULTS: Compared with non-Hispanic White children, Black/AA children had a significantly higher Expanded Disability Status Scale (EDSS) (2.46 vs 0.33, P = 0.003), 2.37 more hospital admissions (P = 0.002), and 28.40 additional inpatient days (P = 0.002) in the two years following their NMOSD diagnosis. Additionally, children with public insurance had higher relapse rates than those with private insurance (P = 0.046). At two years and at the most recent follow-up, a significantly higher EDSS was correlated with children living in census tracts with a lower median income, higher deprivation index, and higher proportion of population on assisted income, in poverty, and with vacant housing (all P < 0.05). CONCLUSIONS: We identified racial, ethnic, and socioeconomic disparities in clinical outcomes and health care utilization in pediatric AQP4+ NMOSD. Further prospective and household-level data are needed to dissect the interplay of genetics, structural racism, and social determinants of health so that interventions to optimize care and outcomes for this population may be developed.

Impact of Housing Status on Surgical Management and Inpatient Outcomes of Chronic Limb-Threatening Ischemia in the United States.

INTRODUCTION: Chronic limb-threatening ischemia (CLTI) represents the most severe form of peripheral artery disease. While previous studies have focused on gender and racial disparities, there is lack of evidence regarding the impact of housing status. The aim of this analysis was to identify disparities in inpatient management and outcomes of CLTI based on housing status. METHODS: In this retrospective, descriptive study, we analyzed patients admitted with CLTI who underwent revascularization, as identified by ICD-10 codes, between 2016-2021, using the National Inpatient Sample database. The patients were stratified by their housing status and a detailed, propensity-matched analysis was conducted to compare the demographics, comorbidities, mortality rates, types of intervention, resource utilization, and inpatient outcomes. RESULTS: During the study, 2,667,294 patients were admitted with CLTI, and 17% (463,435) underwent revascularization. Among these, 0.4% (1,790) were unhoused. Males were overrepresented in the unhoused group (83.5% vs. 62.5%, p<0.001). Unhoused patients were more likely to receive endovascular revascularization (AOR 1.77, 0.45-0.90, p=0.003) but less likely to undergo open surgical intervention (AOR 0.64, 0.45-0.90, p=0.010). They were also more likely to undergo aortoiliac interventions, while housed patients underwent more distal interventions. The mean adjusted length of stay was four days longer and inflation-adjusted costs were $8,501 higher for unhoused patients (p<0.001). Unhoused patients were also more likely to leave against medical advice and be transferred to skilled nursing facilities. CONCLUSION: This study highlights significant disparities in CLTI management and outcomes between housed and unhoused patients, underscoring the need for targeted interventions to address these inequities.

Social mechanisms behind the poor health of marginalized Roma: Novel insights and implications from four ethnographic studies in Slovakia.

Roma represent one of the largest ethnic groups facing marginalization worldwide. However, significant knowledge gaps persist regarding: A) the social mechanisms supporting health-endangering practices among Roma; B) the social mechanisms adversely affecting their use of health services; and C) the social determinants underlying both above pathways. To fill these gaps, we conducted a series of four explorative ethnographic studies spanning over ten years. Beginning in 2004, the series involved 260 participants, including segregated Roma and health services staff in Slovakia. Of the four studies, two addressed gap A, two addressed gap B, and all addressed gap C. Regarding pathway A, we found that Roma in segregated Roma enclaves can be socialized into ethnically framed racialized ideologies that oppose the cultural standards of local non-Roma life, including certain healthy practices. This adherence to counter-cultural ideals of Roma identity increases specific health and care challenges. Regarding pathway B, we discovered that health service frontliners frequently lack any organizational support to better understand and accommodate the current living conditions and practices of segregated Roma, as well as their own and others' racism and professional expectations regarding equity. This lack of support leads many frontliners to become cynical about segregated Roma over their careers, resulting in health services being less effective and exacerbating health problems for both Roma and the frontliners themselves. Concerning pathway C, we found that the societal omnipresence of antigypsyism - racist and racialized anti-Roma ideas and sentiments - serves as a prominent driver of both the above pathways. We conclude that much of the unfavorable health status of Roma can be understood via a systems perspective that embraces structural racism.