Relação entre apoio social e sono de pessoas idosas cuidadoras em vulnerabilidade social / Relationship between social support and sleep of elderly caregivers in social vulnerability / Relación entre apoyo social y sueño de adultos mayores cuidadores con vulnerabilidad social

Objetivo: analisar a relação entre apoio social e qualidade do sono de pessoas idosas que cuidam de outros idosos em ambiente de vulnerabilidade social. Método: estudo transversal realizado com 65 cuidadores entrevistados por meio de instrumento de caracterização, Índice de Katz, Escala de Lawton e Brody, Índice de Qualidade do Sono de Pittsburgh e Escala de Apoio Social do Medical Outcomes Study, com dados analisados com testes de comparação e de correlação. Resultados: a maioria eram mulheres, cônjuges do idoso cuidado e possuíam sono de má qualidade. Observou-se correlação fraca e inversa entre má qualidade do sono e a dimensão interação social positiva (Rho=-0,27; p=0,028). Identificou-se relação significativa entre: apoio material e disfunção diurna (p=0,034); apoio afetivo e eficiência do sono (p=0,026); interação social positiva e qualidade subjetiva do sono (p=0,001) e disfunção diurna (p=0,008). Conclusão: Quanto maior a interação social positiva, melhor é a qualidade do sono.

Objective: to analyze the relationship between social support and sleep quality of elderly individuals who care for other elderly individuals in a socially vulnerable environment. Method: a cross-sectional study conducted with 65 caregivers interviewed using a characterization instrument, Katz Index, Lawton and Brody Scale, Pittsburgh Sleep Quality Index, and Medical Outcomes Study Social Support Scale, with data analyzed using comparison and correlation tests. Results: the majority were women, spouses of the elderly being cared for, and had poor sleep quality. A weak and inverse correlation was observed between poor sleep quality and the positive social interaction dimension (Rho=-0.27; p=0.028). Significant relationships were identified between: material support and daytime dysfunction (p=0.034); emotional support and sleep efficiency (p=0.026); positive social interaction and subjective sleep quality (p=0.001), as well as daytime dysfunction (p=0.008). Conclusion: The higher the positive social interaction, the better the sleep quality.

Objetivo: analizar la relación entre el apoyo social y la calidad del sueño de personas mayores que cuidan de otras personas mayores en entornos socialmente vulnerables. Método: estudio transversal realizado con 65 cuidadores entrevistados mediante un instrumento de caracterización, Índice de Katz, Escala de Lawton y Brody, Índice de Calidad del Sueño de Pittsburgh y Escala de Apoyo Social del Medical Outcomes Study, los datos fueron analizados mediante pruebas de comparación y correlación. Resultados: la mayoría eran mujeres, cónyuges del adulto mayor que recibe el cuidado y tenían mala calidad del sueño. Se observó una correlación débil e inversa entre la mala calidad del sueño y la dimensión de interacción social positiva (Rho=-0,27; p=0,028). Se identificó que había relación significativa entre: apoyo material y disfunción diurna (p=0,034); apoyo afectivo y eficiencia del sueño (p=0,026); interacción social positiva y calidad subjetiva del sueño (p=0,001) y disfunción diurna (p=0,008). Conclusión: Cuanto mayor sea la interacción social positiva, mejor será la calidad del sueño.

Association Between Greater Social Vulnerability and Delayed Glaucoma Surgery.

PURPOSE: Timing of surgical intervention in glaucoma is crucial to preserving sight. While ocular characteristics that increase surgical risk are known, the impact of neighborhood-level social risk factors such as the Social Vulnerability Index (SVI) and Area Deprivation Index (ADI) on time to glaucoma surgery is unknown. The objective of this study was to evaluate the association between SVI or ADI scores and the timing of glaucoma surgical intervention. DESIGN: Retrospective cohort study. METHODS: Adult subjects with open-angle glaucoma were identified from the Bascom Palmer Glaucoma Repository using International Classification of Disease-10 codes. Subject demographics, ocular characteristics, and standard automated perimetry (SAP) data were extracted. Geocoded data were obtained using subject residences and American Community Survey data. Univariable and multivariable time-to-event survival analyses using accelerated failure time (AFT) models were completed to evaluate whether geocoded SVI and ADI scores accelerated or delayed time to glaucoma surgery from initial glaucoma diagnosis in the electronic health record. RESULTS: A total of 10,553 eyes from 6,934 subjects were evaluated, of which 637 eyes (6.0%) from 568 subjects (8.2%) underwent glaucoma surgery. Mean age was 68.3±13.5 years, with 57.9% female, 21.5% Black, and 34.5% Hispanic subjects. Mean follow-up time was 5.0±2.1 years, with time to surgery of 3.2±1.9 years. Multivariable AFT models demonstrated that higher mean intraocular pressure (time ratio (TR) 0.27 per 5 mmHg higher; 95% CI: 0.23-0.31, p<0.001), faster SAP rate of progression (TR 0.74 per 0.5 dB/year faster; 95% CI: 0.69-0.78, p<0.001), moderate (TR 0.69; 95% CI: 0.56-0.85, p<0.001) or severe baseline severity (TR 0.39; 95% CI: 0.32-0.47, p<0.001), and thinner central corneal thickness (TR 0.85 per 50µm thinner; 95% CI: 0.77-0.95, p=0.003) all accelerated time to surgery. In contrast, overall SVI delayed surgery (TR 1.11 per 25% increase; 95% CI: 1.03-1.20, p=0.006). Specifically, SVI Themes 1 (TR 1.08; 95% CI: 1.01-1.17, p=0.037) and 4 (TR 1.11; 95% CI: 1.03-1.19, p=0.006) were significant. Patients from the most deprived neighborhoods (highest national ADI quartile) had a 68% increase in time to surgery compared to the least deprived quartile (TR 1.68; 95% CI: 1.20-2.36, p=0.002). CONCLUSIONS: Residence in areas with higher SVI or ADI scores was associated with delayed glaucoma surgery after controlling for demographic and ocular parameters. Awareness of such disparities can guide initiatives aimed at achieving parity in health outcomes.

A health equity science approach to assessing drivers of COVID-19 vaccination coverage disparities over the course of the COVID-19 pandemic, United States, December 2020-December 2022.

INTRODUCTION: Health equity science examines underlying social determinants, or drivers, of health inequities by building an evidence base to guide action across programs, public health surveillance, policy, and communications efforts. A Social Vulnerability Index (SVI) was utilized during the COVID-19 response to identify areas where inequities exist and support communities with vaccination. We set out to assess COVID-19 vaccination coverage by two SVI themes, Racial and Ethnicity Minority Status and Housing Type and Transportation to examine disparities. METHODS: US county-level COVID-19 vaccine administration data among persons aged 5 years and older reported to the Centers for Disease Control and Prevention from December 14, 2020 to December 14, 2022, were analyzed. Counties were categorized 1) into tertiles (low, moderate, high) according to each SVI theme's level of vulnerability or 2) dichotomized by urban or rural classification. Primary series vaccination coverage per age group were assessed for SVI social factors by SVI theme tertiles or urbanicity. RESULTS: Older adults aged 65 years and older had the highest vaccination coverage across all vulnerability factors compared with children aged 5-17 years and adults aged 18-64 years. Overall, children and adults had higher vaccination coverage in counties of high vulnerability. Greater vaccination coverage differences were observed by urbanicity as rural counties had some of the lowest vaccination coverage for children and adults. CONCLUSION: COVID-19 vaccination efforts narrowed gaps in coverage for adults aged 65 years and older but larger vaccination coverage differences remained among younger populations. Moreover, greater disparities in coverage existed in rural counties. Health equity science approaches to analyses should extend beyond identifying differences by basic demographics such as race and ethnicity and include factors that provide context (housing, transportation, age, and geography) to assist with prioritization of vaccination efforts where true disparities in vaccination coverage exist.

Social Vulnerability and Peri-Operative Outcomes after Colectomy for Colon Cancer.

BACKGROUND: The Social Vulnerability Index (SVI) has previously been demonstrated to correlate with worse postoperative outcomes after surgery, but the association of SVI with short- and long-term outcomes after colon cancer surgery has been underexplored. METHODS: This is a retrospective cross-sectional study of Medicare patients aged 65-99 years who underwent colectomy for colon cancer between 2016 and 2020, merged with SVI at the census tract level. We tested the association between SVI with emergent colectomy and 30-day and 1-year mortality using a multivariable logistic regression model adjusted for patient demographics and hospital characteristics. RESULTS: The cohort included 169,498 patients who underwent colectomy for colon cancer. Medicare patients living in areas in the highest quintile of social vulnerability were more likely to undergo unplanned colectomy for colon cancer compared to those in the lowest quintile (35.6% vs. 28.9%; adjusted odds ratio (aOR) 1.36 [95% CI 1.31-1.41], p<0.001). Similarly, patients living in areas in the highest quintile of social vulnerability experienced higher risk-adjusted rates of 30-day mortality (3.4% vs 2.9%; aOR 1.20 [1.12, 1.29], p<0.001), and 1-year mortality (10.8% vs 8.6%, aOR 1.30 [1.22, 1.37], p<0.001) as compared to patients living in the lowest quintile of social vulnerability. When evaluating the elective and unplanned cohorts separately, these differences persisted. CONCLUSION: Among Medicare patients undergoing colectomy for colon cancer, high social vulnerability was associated with an increased risk of unplanned operations and worse short- and long-term postoperative outcomes in both the emergent and elective settings. Providers should seek to mitigate disparate surgical outcomes by addressing structural inequities in social resources.

NPCC4: Advancing climate justice in climate adaptation strategies for New York City.

The Advancing Climate Justice in Climate Adaptation Strategies for New York City (Equity) chapter of NPCC4 builds on the findings and recommendations from NPCC3 to identify additional metrics and adaptation efforts that can advance climate justice. First, the chapter assesses the efforts of the City to incorporate equity into climate adaptation efforts since NPCC3 and describes how the communities profiled in NPCC3 have implemented and evolved their approaches to addressing the intersecting climate, environmental, and social stressors that they continue to face. Second, it adds to the historical context of climate inequity by linking the bioregion's history of colonization, land dispossession, and slavery building on emerging evidence demonstrating how historical and contemporary land use patterns and decisions shape present and future climate risks and social vulnerability, including climate displacement. Third, it recommends a NYC-focused metric to identify areas of the city that are most vulnerable to the intersection of climate hazards, social vulnerability, and displacement. Finally, it highlights approaches to more equitable and just climate adaptation drawn from local, national, and international examples. As such, the chapter offers best practices that prioritize community-driven climate resilience approaches that are integrated, more equitable, and racially just.

Non-Linkage to Care and Non-Viral Suppression among Hispanic/Latino Persons by Birthplace and Social Vulnerability-United States, 2021.

BACKGROUND: Assessing individual- and community-level factors may help to explain differences among Hispanic/Latino adults with diagnosed HIV not linked to care and without viral suppression in the United States. METHODS: We analyzed CDC's National HIV Surveillance System data among Hispanic/Latino persons aged ≥ 18 years with HIV diagnosed during 2021 in 47 states and the District of Columbia and linked cases via census tracts to the CDC/ATSDR's Social Vulnerability Index (SVI). Adjusted prevalence ratios and 95% confidence intervals for non-linkage to care and non-viral suppression were estimated using Poisson regression model. RESULTS: Among 5,056 Hispanic/Latino adults with HIV diagnosed in 2021, 51.5% were born in the United States, 17.3% in Mexico, 9.2% in Central America, 11.1% in South America, 1.8% in Puerto Rico, 6.8% in Cuba, and 2.4% in the Caribbean. Compared with U.S.-born Hispanic/Latino adults, those born in Mexico and South America had a lower prevalence of non-linkage to care. Hispanic/Latino adults born in Mexico, South America, and the Caribbean (excluding Puerto Rico and Cuba) had a lower prevalence of non-viral suppression, compared with those born in the United States. No significant differences were observed among SVI quartiles for either care outcome. CONCLUSION: This study aimed to challenge the narrow perspective on HIV care outcomes by examining the impact of birthplace and social vulnerability among Hispanic/Latino adults. To increase HIV care and prevention among Hispanic/Latino persons, research must evaluate health disparities within the group, and efforts are needed to better understand and tailor interventions within the diverse Hispanic/Latino population.

Social vulnerability and prenatal diagnosis.

OBJECTIVES: There are limited data on how neighborhood-level risk factors affect the likelihood of having prenatal diagnosis. Neighborhood social vulnerability can be quantified and ranked using the social vulnerability index (SVI), a tool that measures the cumulative effect of external stressors in the local environment that may affect health outcomes. The objective of the study was to determine the relationship between SVI and prenatal diagnosis among pregnant patients who received genetic counseling. METHODS: Retrospective cohort study of all pregnant patients who had genetic counseling at two hospitals in New York between January 2019 and December 2022. For each patient, the address of residence was linked to an SVI score (primary exposure) based on census tract. SVI scores were subdivided into fifths and analyzed categorically. The primary outcome was prenatal diagnosis (yes/no). Multivariable logistic regression was performed. RESULTS: A total of 5,935 patients were included for analysis and 231 (3.9 %) had prenatal diagnosis. On regression analysis, no association between SVI and prenatal diagnosis was observed. Patients who had a diagnostic procedure were more likely to be English speaking (aOR 1.80; 95 % CI 1.13-2.87), carriers of a genetic disorder (aOR 1.94; 95 % CI 1.32-2.86), had increased NT (aOR 6.89; 95 % CI 3.65-13.00), abnormal NIPS (aOR 9.58; 95 % CI 5.81-15.80), or had fetal structural anomalies (aOR 10.60; 95 % CI 6.62-16.96). No differences were seen based on race and ethnicity group, insurance type, or marital status. CONCLUSIONS: SVI score does not affect rate of prenatal diagnosis. Findings may differ in other geographic regions and populations.

Impact of social vulnerability index on severity of obstructive sleep apnea: Insights from drug-induced sleep endoscopy.

OBJECTIVES: To examine the association between neighborhood-level social vulnerability on the severity of obstructive sleep apnea (OSA) in patients undergoing drug-induced sleep endoscopy (DISE). STUDY DESIGN: Single center retrospective cohort study. METHODS: We conducted a retrospective chart review of patients >18 years of age that underwent DISE from July 2016 to July 2022. Patient addresses were geocoded with geographic information systems, and spatial overlays were used to assign census-tract level social vulnerability index (SVI) scores in the four sub-themes: Socioeconomic (theme 1), Household Composition/Disability (theme 2), Minority Status/Language (theme 3), and Housing/Transportation (theme 4). RESULTS: The study included 165 patients (61.2 years ± 11.6; 31.0 BMI ± 6.1, 102 male, 63 female). Mild OSA was present in13 patients; 55 patients had moderate OSA; and 97 patients had severe OSA. A higher SVI value in minority status and language, and a higher BMI both predicted an increased Apnea Hypopnea Index (AHI) (p = 0.042, and <0.001, respectively) in the multivariate model; whereas, race, age, gender, or the other three SVI sub-theme values were not predictive. CONCLUSION: Adults residing in areas of greater social vulnerability - specifically a larger minority presence or English as a second language - and patients who are obese are more likely to have more severe OSA. There was no correlation, however, between obesity and residence in an area of high SVI. These results suggest that both neighborhood conditions and obesity are associated with OSA severity. This elevated risk has potential implications for diagnostic testing, clinic follow-ups, screening, and treatment plans for adults residing in disenfranchised neighborhoods. LEVEL OF EVIDENCE: IV.

Social disparities in delivery choice among patients with history of cesarean.

OBJECTIVE: Given the call to reduce rates of non-medically indicated cesarean deliveries (CDs) by encouraging trials of labor after cesarean (TOLAC), this study looks at social characteristics of patients choosing a TOLAC versus a scheduled repeat cesarean delivery (SRCD) to determine disparities regarding delivery method choice. METHODS: This was a retrospective cohort study of patients with a history of one CD between April 29, 2015-April 29, 2020. Patients were divided based on type of delivery chosen at admission. Chi-squared tests examined proportional differences between groups and logistic regression models examined odd ratios of choosing TOLAC versus SRCD according to socially dependent categories including race/ethnicity, health insurance, pre-pregnancy body mass index, and Social Vulnerability Index (SVI). RESULTS: 1,983 patients were included. Multivariable logistic regression models revealed that patients with a high SVI (reference: low/medium SVI) (AOR 2.0, CI: 1.5, 2.5), self-identified as Black/ African American (AOR: 2.4, CI: 1.6, 3.6) or Hispanic/Latina (AOR: 2.0, CI: 1.4, 2.8) (reference: White), had public insurance (reference: private insurance) (AOR: 3.7, CI: 2.8, 5.0), and who had an obese BMI (reference: non-obese BMI) were more likely to opt for a TOLAC rather than SRCD. CONCLUSION: These findings demonstrate differences in delivery method preferences. Specifically, more disadvantaged patients are more likely to choose TOLAC, suggesting that social and economic factors may play a role in delivery preferences. These findings have implications for improving individualized counselling and engaging in shared decision-making around mode of delivery.

Social Vulnerability Index and Cardiovascular Disease Care Continuum: A Scoping Review.

Background: Social vulnerability index (SVI) estimates the vulnerability of communities to disasters, encompassing 4 separate domains (socioeconomic, household composition and disability, minority status and language, and housing and transportation). The SVI has been linked with risk and outcomes of cardiovascular disease (CVD). Objectives: This scoping review explored the literature between the SVI and CVD continuum, with a goal to identify gaps in understanding the impact of the SVI on CVD and to elucidate future research opportunities. Methods: We systematically searched 7 databases from inception to May 19, 2023, for articles that explored the relationship between the SVI and CVD care continuum, including prevention, diagnosis and prevalence, treatment, and health outcomes. Extracted data included SVI ranking type, populations, outcomes, and quality of studies. Results: Twelve studies evaluated the impact of SVI on the CVD continuum. Five studies explored mortality outcomes, 3 studies explored CVD risk factor prevalence, 4 studies explored CVD prevalence, 1 study explored access to health care in those with CVD, 1 study explored the use of cardiac rehabilitation services, and 1 study explored heart failure readmission rates, all of which revealed statistically significant associations with SVI. All studies included the SVI aggregate percentile ranking, while 5 studies focused on individual thematic components. We identified gaps in understanding the SVI's impact on CVD care continuum, particularly regarding CVD prevention and early detection. Conclusions: This review provides a comprehensive understanding of the SVI's application in assessing various aspects of the CVD care continuum and highlights potential avenues for future research.

Trends in youth acute care hospital visits for anxiety and depression in Illinois.

PURPOSE: This study analyzes the trajectory of youth emergency room or inpatient hospital visits for depression or anxiety in Illinois before and during the COVID-19 pandemic. METHODS: We analyze emergency department (ED) outpatient visits, direct admissions, and ED admissions by patients ages 5-19 years coded for depression or anxiety disorders from 2016 through June 2023 with data from the Illinois Hospital Association COMPdata database. We analyze changes in visit rates by patient sociodemographic and clinical characteristics, hospital volume and type, and census zip code measures of poverty and social vulnerability. Interrupted times series analysis was used to test the significance of differences in level and trends between 51 pre-pandemic months and 39 during-pandemic months. RESULTS: There were 250,648 visits to 232 Illinois hospitals. After large immediate pandemic decreases there was an estimated -12.0 per-month (p = 0.003, 95% CI -19.8-4.1) decrease in male visits and a - 13.1 (p = 0.07, 95% CI -27 -1) per-month decrease in female visits in the during-pandemic relative to the pre-pandemic period. The reduction was greatest for outpatient ED visits, for males, for age 5-9 and 15-19 years patients, for smaller community hospitals, and for patients from the poorest and most vulnerable zip code areas. CONCLUSIONS: llinois youth depression and anxiety hospital visit rates declined significantly after the pandemic shutdown and remained stable into 2023 at levels below 2016-2019 rates. Further progress will require both clinical innovations and effective prevention grounded in a better understanding of the cultural roots of youth mental health.

Social Vulnerability and Compliance With World Health Organization Advice on Protective Behaviors Against COVID-19 in African and Asia Pacific Countries: Factor Analysis to Develop a Social Vulnerability Index.

BACKGROUND: COVID-19 protective behaviors are key interventions advised by the World Health Organization (WHO) to prevent COVID-19 transmission. However, achieving compliance with this advice is often challenging, particularly among socially vulnerable groups. OBJECTIVE: We developed a social vulnerability index (SVI) to predict individuals' propensity to adhere to the WHO advice on protective behaviors against COVID-19 and identify changes in social vulnerability as Omicron evolved in African countries between January 2022 and August 2022 and Asia Pacific countries between August 2021 and June 2022. METHODS: In African countries, baseline data were collected from 14 countries (n=15,375) during the first Omicron wave, and follow-up data were collected from 7 countries (n=7179) after the wave. In Asia Pacific countries, baseline data were collected from 14 countries (n=12,866) before the first Omicron wave, and follow-up data were collected from 9 countries (n=8737) after the wave. Countries' socioeconomic and health profiles were retrieved from relevant databases. To construct the SVI for each of the 4 data sets, variables associated with COVID-19 protective behaviors were included in a factor analysis using polychoric correlation with varimax rotation. Influential factors were adjusted for cardinality, summed, and min-max normalized from 0 to 1 (most to least vulnerable). Scores for compliance with the WHO advice were calculated using individuals' self-reported protective behaviors against COVID-19. Multiple linear regression analyses were used to assess the associations between the SVI and scores for compliance to WHO advice to validate the index. RESULTS: In Africa, factors contributing to social vulnerability included literacy and media use, trust in health care workers and government, and country income and infrastructure. In Asia Pacific, social vulnerability was determined by literacy, country income and infrastructure, and population density. The index was associated with compliance with the WHO advice in both time points in African countries but only during the follow-up period in Asia Pacific countries. At baseline, the index values in African countries ranged from 0.00 to 0.31 in 13 countries, with 1 country having an index value of 1.00. The index values in Asia Pacific countries ranged from 0.00 to 0.23 in 12 countries, with 2 countries having index values of 0.79 and 1.00. During the follow-up phase, the index values decreased in 6 of 7 African countries and the 2 most vulnerable Asia Pacific countries. The index values of the least vulnerable countries remained unchanged in both regions. CONCLUSIONS: In both regions, significant inequalities in social vulnerability to compliance with WHO advice were observed at baseline, and the gaps became larger after the first Omicron wave. Understanding the dimensions that influence social vulnerability to protective behaviors against COVID-19 may underpin targeted interventions to enhance compliance with WHO recommendations and mitigate the impact of future pandemics among vulnerable groups.

Social Vulnerabilities Among Hired Migrant and Seasonal Farmworkers During COVID-19: The Need for Employment-Based Indicators.

OBJECTIVES: This study aimed to explore farmworkers' experiences of social vulnerability during the peak period of the COVID-19 pandemic. METHODS: Telephone surveys of 63 migrant and seasonal farmworkers across three major agricultural areas in Florida were conducted. The survey, designed and disseminated with critical support from a statewide farmworker membership and advocacy organization, included items related to social and occupational precarity and a suite of demographic conditions, including specific employment-based indicators and categories. Data were analyzed with SPSS using a series of statistical significance tests including Pearson's Chi-Square, Fisher's Exact, T-tests, and Mann-Whitney U. An open-ended question regarding employment precarity was also analyzed for frequencies of responses pertaining to a set of descriptive categories. RESULTS: Survey findings demonstrated a high degree of social vulnerability among the farmworker sample, with notable variation in the type and severity of vulnerability and risk exposure across employment-based indicators and occupational categories. For example, a cross-industry comparison between vegetable field workers and greenhouse nursery workers revealed a disparity in COVID-exposure risk through commuting characteristics, as 43% of vegetable field workers used shared, employer-provided transport, while 68% of nursery workers used personal vehicles. CONCLUSION: While previous research has broadly established the extreme precarity of migrant and seasonal farmworkers during the peak COVID-19 period, the variability of experience, exposure to risk, and social vulnerability between farmworkers representing distinct employment-based indicators and occupational categories demonstrated in this study contributes to widening awareness of the importance of assessing farmworker experiences at a more granular level. In addition to delineating social vulnerability across key demographic categories, cross-industry comparisons between farmworkers revealed significant discrepancies in risk and vulnerability to COVID-19. Future research that further explores this variability may reveal opportunities to improve disaster-relief planning and mitigate social vulnerability in future disaster scenarios. The importance of surveying the vulnerability of worker populations, aside from geographic communities, is highlighted.

Association of county level poverty with mortality from primary liver cancers.

BACKGROUND: The highly variable occurrence of primary liver cancers across the United States emphasize the relevance of location-based factors. Social determinants such as income, educational attainment, housing, and other factors may contribute to regional variations in outcomes. To evaluate their impact, this study identified and analyzed clusters of high mortality from primary liver cancers and the association of location-based determinants with mortality across the contiguous United States. METHODS: A geospatial analysis of age-adjusted incidence and standardized mortality rates from primary liver cancers from 2000 to 2020 was performed. Local indicators of spatial association identified hot-spots, clusters of counties with significantly higher mortality. Temporal analysis of locations with persistent poverty, defined as high (>20%) poverty for at least 30 years, was performed. Social determinants were analyzed individually or globally using composite measures such as the social vulnerability index or social deprivation index. Disparities in county level social determinants between hot-spots and non-hot-spots were analyzed by univariate and multivariate logistic regression. RESULTS: There are distinct clusters of liver cancer incidence and mortality, with hotspots in east Texas and Louisiana. The percentage of people living below the poverty line or Hispanics had a significantly higher odds ratio for being in the top quintile for mortality rates in comparison to other quintiles and were highly connected with mortality rates. Current and persistent poverty were both associated with an evolution from non-hotspots to new hotspots of mortality. Hotspots were predominantly associated with locations with significant levels of socioeconomic vulnerability or deprivation. CONCLUSIONS: Poverty at a county level is associated with mortality from primary liver cancer and clusters of higher mortality. These findings emphasize the importance of addressing poverty and related socio-economic determinants as modifiable factors in public health policies and interventions aimed at reducing mortality from primary liver cancers.

Prevalence, risk factors, and impact of long COVID in a socially vulnerable community in Brazil: a prospective cohort study.

Background: Long COVID is an emerging global public health issue. Socially vulnerable communities in low- and-middle-income countries were severely impacted by the pandemic and are underrepresented in research. This prospective study aimed to determine the prevalence of long COVID, its impact on health, and associated risk factors in one such community in Rio de Janeiro, Brazil. Methods: A total of 710 individuals aged 18 and older, with confirmed SARS-CoV-2 infection at least three months prior, were enrolled between November 25, 2021, and May 5, 2022. Participants were assessed via telephone or in person using a standardized questionnaire to evaluate their perception of recovery, symptoms, quality of life, and functional status. Findings: Twenty percent of participants did not feel fully recovered, 22% experienced new or persistent symptoms, 26% had worsened functional status, 18% had increased dyspnoea, and 32% reported a worse quality of life. Persistent symptoms included headache, cough, fatigue, muscle pain, and shortness of breath. Dyspnoea during the acute phase was the strongest independent predictor of worsening outcomes. Females and individuals with comorbidities were more likely to report worse recovery, functioning, dyspnoea, and quality of life. Interpretation: Our findings reveal a high burden of severe and persistent physical and mental health sequelae in a socially vulnerable community following COVID-19. Funding: UK Foreign, Commonwealth and Development Office and Wellcome Trust Grant (222048/Z/20/Z), Fundação Oswaldo Cruz (FIOCRUZ), Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ), and the Centers for Disease Control and Prevention (CDC).

Association of US county-level social vulnerability index with breast, colorectal, and lung cancer screening, incidence, and mortality rates across US counties.

Background: Despite being the second leading cause of death in the United States, cancer disproportionately affects underserved communities due to multiple social factors like economic instability and limited healthcare access, leading to worse survival outcomes. This cross-sectional database study involves real-world data to explore the relationship between the Social Vulnerability Index (SVI), a measure of community resilience to disasters, and disparities in screening, incidence, and mortality rates of breast, colorectal, and lung cancer. The SVI encompasses four themes: socioeconomic status, household composition & disability, minority status & language, and housing type & transportation. Materials and methods: Using county-level data, this study compared cancer metrics in U.S. counties and the impact of high and low SVI. Two-sided statistical analysis was performed to compare SVI tertiles and cancer screening, incidence, and mortality rates. The outcomes were analyzed with logistic regression to determine the odds ratio of SVI counties having cancer metrics at or above the median. Results: Our study encompassed 3,132 United States counties. From publicly available SVI data, we demonstrated that high SVI scores correlate with low breast and colorectal cancer screening rates, along with high incidence and mortality rates for all three types of cancers. County level SVI has impact on incidence rates of cancers; breast cancer rates were lowest in high SVI counties, while colorectal and lung cancer rates were highest in the same counties. Age-adjusted mortality rates for all three cancers increased across SVI tertiles. After risk adjustment, a 10-point SVI increase correlated with lower screening and higher mortality rates. Conclusion: In conclusion, our study establishes a significant correlation between SVI and cancer metrics, highlighting the potential to identify marginalized communities with health disparities for targeted healthcare initiatives. It underscores the need for further longitudinal studies on bridging the gap in overall cancer care in the United States.

How An Academic Direct Primary Care Clinic Served Patients from Vulnerable Communities.

PURPOSE: Direct primary care (DPC) critics are concerned that the periodic fee precludes participation from vulnerable populations. The purpose is to describe the demographics and appointments of a, now closed, academic DPC clinic and determine whether there are differences in vulnerability between census tracts with and without any clinic patients. METHODS: We linked geocoded data from the DPC's electronic health record with the social vulnerability index (SVI). To characterize users, we described their age, sex, language, membership, diagnoses, and appointments. Descriptive statistics included frequencies, proportions or medians, and interquartile ranges. To determine differences in SVI, we calculated a localized SVI percentile within Harris County. A t test assuming equal variances and Mann-Whitney U Tests were used to assess differences in SVI and all other census variables, respectively, between those tracts with and without any clinic patients. RESULTS: We included 322 patients and 772 appointments. Patients were seen an average of 2.4 times and were predominantly female (58.4%). More than a third (37.3%) spoke Spanish. There was a mean of 3.68 ICD-10 codes per patient. Census tracts in which DPC patients lived had significantly higher SVI scores (ie, more vulnerable) than tracts where no DPC clinic patients resided (median, 0.60 vs 0.47, p-value < 0.05). CONCLUSION: This academic DPC clinic cared for individuals living in vulnerable census tracts relative to those tracts without any clinic patients. The clinic, unfortunately, closed due to multiple obstacles. Nevertheless, this finding counters the perception that DPC clinics primarily draw from affluent neighborhoods.

Using Social Vulnerability Indices to Predict Priority Areas for Prevention of Sudden Unexpected Infant Death in Cook County, IL: Cross-Sectional Study.

Background: The incidence of sudden unexpected infant death (SUID) in the United States has persisted at roughly the same level since the mid-2000s, despite intensive prevention efforts around safe sleep. Disparities in outcomes across racial and socioeconomic lines also persist. These disparities are reflected in the spatial distribution of cases across neighborhoods. Strategies for prevention should be targeted precisely in space and time to further reduce SUID and correct disparities. Objective: We sought to aid neighborhood-level prevention efforts by characterizing communities where SUID occurred in Cook County, IL, from 2015 to 2019 and predicting where it would occur in 2021-2025 using a semiautomated, reproducible workflow based on open-source software and data. Methods: This cross-sectional retrospective study queried geocoded medical examiner data from 2015-2019 to identify SUID cases in Cook County, IL, and aggregated them to "communities" as the unit of analysis. We compared demographic factors in communities affected by SUID versus those unaffected using Wilcoxon rank sum statistical testing. We used social vulnerability indicators from 2014 to train a negative binomial prediction model for SUID case counts in each given community for 2015-2019. We applied indicators from 2020 to the trained model to make predictions for 2021-2025. Results: Validation of our query of medical examiner data produced 325 finalized cases with a sensitivity of 95% (95% CI 93%-97%) and a specificity of 98% (95% CI 94%-100%). Case counts at the community level ranged from a minimum of 0 to a maximum of 17. A map of SUID case counts showed clusters of communities in the south and west regions of the county. All communities with the highest case counts were located within Chicago city limits. Communities affected by SUID exhibited lower median proportions of non-Hispanic White residents at 17% versus 60% (P<.001) and higher median proportions of non-Hispanic Black residents at 32% versus 3% (P<.001). Our predictive model showed moderate accuracy when assessed on the training data (Nagelkerke R2=70.2% and RMSE=17.49). It predicted Austin (17 cases), Englewood (14 cases), Auburn Gresham (12 cases), Chicago Lawn (12 cases), and South Shore (11 cases) would have the largest case counts between 2021 and 2025. Conclusions: Sharp racial and socioeconomic disparities in SUID incidence persisted within Cook County from 2015 to 2019. Our predictive model and maps identify precise regions within the county for local health departments to target for intervention. Other jurisdictions can adapt our coding workflows and data sources to predict which of their own communities will be most affected by SUID.

Impact of socioeconomic status on open globe injuries during the COVID-19 pandemic.

PURPOSE: We explored the associations between socioeconomic status, as evaluated by the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry Social Vulnerability Index (SVI), and characteristics of open globe injury (OGI) in a Level I trauma center during the COVID-19 pandemic. METHODS: Retrospective review of electronic medical records of patients who underwent OGI evaluation and repair at Harborview Medical Center between March/2017 and March/2021. Demographic data and patient characteristics were recorded. The SVI was obtained based on the patient's home address. Patients were grouped into the "historical" (pre-COVID) cohort, including dates from March 2017 - March 2020, and the "COVID" cohort, including dates from March 2020 - March 2021. RESULTS: 318 patients (77.4% male) were included. Average ± S.D. age (years) and SVI scores were 44.7 ± 22.7 and 0.413 ± 0.195, respectively. SVI scores were significantly higher (more vulnerable) during the COVID-19 pandemic compared to years prior (p = 0.017), however when compared to scores for the same patients prior to the pandemic, no difference was found (p = 0.609). There was no significant difference between intentional and non-intentional trauma, work-related injuries, OGI type, presence of endophthalmitis, or ocular trauma score (p ≥ 0.293). Still, significantly fewer motor vehicle-associated (MVA) OGIs occurred during the pandemic (p = 0.041). CONCLUSIONS: Patients with OGI during the COVID-19 pandemic had higher SVI scores, however when considering the overall effect of the pandemic, our findings are likely reflective of the societal changes at large. There was no identifiable impact on the mechanisms or characteristics of ocular injuries, except for fewer MVA injuries.