High Social Vulnerability Research Articles

Spatial Patterns of Emergency Dental Care Utilization: Assessing the Influence of Social Vulnerability and Dental Provider Availability

Aim: Our aim was to examine the association between emergency dental care use and dental providers’ availability and ZIP code social vulnerability index. Methods: This cross-sectional observational study mapped variations in emergency dental care and analyzed their association with social vulnerability using generalized spatial two-stage least-squares to address spatial correlation. To perform spatial autoregressive modeling to examine how dental provider capacity and social vulnerability influence emergency care use across neighboring counties, accounting for ZIP Code Tabulation Area (ZCTA) spillover effects, we used secondary data from the Maryland Health Services Cost Review Commission, InfoUSA, and the US Census American Community Survey. We focused on emergency dental care usage in ZIP Code Tabulation Areas, using emergency department visits and inpatient stays per 1000 residents for dental conditions, as the dependent variable. Results: Highly vulnerable ZCTAs saw 5.9× more non-traumatic dental condition (NTDC) ED visits, 5.3× more chronic dental ED visits, 3.3× more NTDC inpatient stays, and 1.3× more chronic dental inpatient stays than less vulnerable areas. For all four measures of emergency dental care use, increased dental provider availability was associated with reductions in use of emergency dental care (ED), while higher social vulnerability was associated with increased use. For example, an increase of one dental provider per 1000 residents was associated with a reduction of 28.2 non-traumatic dental ED visits, while a high social vulnerability index was associated with an increase of 88.6 non-traumatic dental ED visits. Conclusions: There was an association among dental provider availability, social vulnerability, and the use of emergency dental care.

Assessing building thermal resilience in response to heatwaves through integrating a social vulnerability lens

Major cities worldwide are increasingly experiencing intense heatwaves, which disproportionately affect vulnerable populations. This suggests the urgent need for focused attention and mitigation strategies to protect those most at risk from the impacts of heatwaves. The presence of vulnerable groups in buildings with varying thermal conditions can result in different outcomes during extreme heat events, making it crucial to evaluate the thermal resilience of buildings in conjunction with social vulnerability. This research advances the understanding of thermal vulnerability by integrating building thermal characteristics with social vulnerability. While previous studies have predominantly focused on socio-ethnic and economic dimensions of vulnerability, this study specifically investigates the relationship between social vulnerability and thermal resilience, with a focus on building thermal parameters. Datasets from Zillow and ResStock are used to capture the thermal properties of buildings, while social vulnerability data is obtained from the Center for Disease Control and Prevention. A Gaussian Naïve Bayes (GNB) model is applied to enhance building envelope attributes from Zillow, leveraging detailed information from ResStock data. Additionally, a Kolmogorov-Smirnov (KS) test is conducted to analyze diverse thermal attributes, such as age of buildings, room size, number of stories, building area, envelope characteristics, systems, infiltration, across differing levels of social vulnerability (high and low). Specifically, Philadelphia is selected as the analysis focus. The analysis reveals significant associations between thermal resilience and social vulnerability. Groups with higher social vulnerability are more likely to be exposed to elevated levels of thermal vulnerability compared to less vulnerable groups. This highlights the necessity for tailored interventions aimed at promoting the development of more resilient and equitable buildings, capable of reducing the impacts of heatwaves on vulnerable communities.

Measurement and impact analysis of social vulnerability to geological disasters in Guizhou Province, China

Investigating social vulnerability is a crucial aspect of attaining an in-depth understanding of disasters and disaster risk. This study developed a measurement framework for social vulnerability to geological disasters, obtained a comprehensive social vulnerability index, and compared the spatial distribution patterns of fatalities, social vulnerability, and geological disaster-prone zones. These efforts assisted in determining the strength and character of the relationship between geological disaster fatality risk and social vulnerability at the county level. The findings show that: (1) the social vulnerability to geological disasters index varies significantly between counties. High social vulnerability is primarily concentrated in Bijie City, Guizhou province, which shows concentrated clustering. Conversely, low social vulnerability is mainly concentrated in Guiyang City: (2) the spatial distribution patterns reveal the limitations of disaster exposure in explaining fatality risk and demonstrate the ability of social vulnerability to amplify disaster risk; (3) the zero-inflated negative binomial regression model fit the data significantly better than the negative binomial regression model, suggesting that for every one unit increase in the social vulnerability index, there is a 6.33% increase in the risk of fatalities, holding all other variables constant. This study establishes a specific framework for measuring social vulnerability to geological disasters and provides new evidence of how social vulnerability influences disaster risk intensity. The county-level spatial measurement results can further assist disaster management personnel in formulating more localized mitigation strategies. The findings will further support the identification of core remediation sites and the implementation of management and relocation (avoidance) projects during Guizhou Province’s 14th Five-Year Plan for geological disaster prevention and control.

Influence of socioeconomic aspects on morbidity and mortality rates from COVID-19 in the state of Tocantins, Brazil

This study aimed to analyze the spatial correlation of COVID-19 with social vulnerability indices in the state of Tocantins. Methodology: An ecological and cross-sectional study was conducted, analyzing the temporal evolution of the pandemic using the local bivariate Moran's index and the Kernel intensity estimator for COVID-19 cases in Tocantins from 2020 to 2022. Results: The northern region of the state showed the highest concentration of cases and deaths, a concerning fact given the high social vulnerability of most municipalities in this region. Conclusion: The study identified a positive spatial correlation between the incidence and mortality rates of COVID-19 and the social vulnerability index of the municipalities. These findings highlight the need to strengthen preventive measures and expand the physical, technological, and human resources of the healthcare network, especially in areas serving populations with higher vulnerability and traditional communities. This is particularly relevant as the disease also affects more isolated areas, impacting indigenous, riverside, and quilombola populations.

Application of a digital quality measure for cancer diagnosis in Epic Cosmos.

Missed and delayed cancer diagnoses are common, harmful, and often preventable. We previously validated a digital quality measure (dQM) of emergency presentation (EP) of lung cancer in 2 US health systems. This study aimed to apply the dQM to a new national electronic health record (EHR) database and examine demographic associations. We applied the dQM (emergency encounter followed by new lung cancer diagnosis within 30 days) to Epic Cosmos, a deidentified database covering 184 million US patients. We examined dQM associations with sociodemographic factors. The overall EP rate was 19.6%. EP rate was higher in Black vs White patients (24% vs 19%, P < .001) and patients with younger age, higher social vulnerability, lower-income ZIP code, and self-reported transport difficulties. We successfully applied a dQM based on cancer EP to the largest US EHR database. This dQM could be a marker for sociodemographic vulnerabilities in cancer diagnosis.

Increased Stillbirth Rates and Exposure to Environmental Risk Factors for Stillbirth in Counties with Higher Social Vulnerability: United States, 2015-2018.

Exposure to unfavorable environmental conditions during pregnancy, such as extreme heat and air pollution, has been linked to increased risk of stillbirth, defined as fetal mortality at or after 20 weeks' gestation, however no studies have examined its association with social vulnerability. We examined associations between county-level stillbirth rates, environmental risk factors for stillbirth, and social vulnerability in the United States. This ecologic study linked county-level data from three nationwide datasets on stillbirths (National Vital Statistics System), environmental conditions (North American Land Data Assimilation System and Environmental Protection Agency), and social vulnerability (Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry Social Vulnerability Index). Poisson and negative binomial models were fit to the variables and produced rate ratios to estimate associations among stillbirth rates, environmental risk factors, and social vulnerability. Social vulnerability was positively associated withn stillbirth rates, annual average number of extreme heat days, and ambient concentration of particulate matter ≤ 2.5μm in diameter (PM2.5). The average number of days that ozone and PM2.5 each exceeded regulatory standards were not associated with stillbirth rates or social vulnerability. A positive association between average annual PM2.5 concentration and stillbirth rates was detected; no other significant associations between environmental risk factors and stillbirth rates were observed. We found evidence of associations between social vulnerability and stillbirth rates, and between social vulnerability and environmental risk factors for stillbirth at the county level. Further research could inform understanding of how social vulnerability impacts the relationship between environmental exposures and stillbirth risk.

Simulation of Epidemic Dynamics Using a Multi-Agent Model: Analysis of Social Distancing Strategies and Their Impacts on Public Health and Economy

Infectious disease epidemics have played a crucial role in shaping public health responses, particularly in global health crises. This study emerges as part of the efforts to prepare effective responses to potential future pandemics, leveraging lessons learned during the COVID-19 crisis. The research uses an adapted compartmental epidemiological model and a synthetic multi-agent community to investigate how social variables influence epidemic forecasts in socioeconomically vulnerable regions. Focusing on the simulation of epidemic dynamics in the socio-economically disadvantaged neighbourhood of Ilha Joana Bezerra in Recife, this study examines the impacts of social distancing strategies and other control measures, such as face masks and moderate social isolation. Through the adapted SEPAI3R3O model, which includes compartments for pre-symptomatic and asymptomatic states, this study provides a detailed analysis of disease dynamics in contexts characterised by high social vulnerability. The results underscore the importance of public health policies adapted to socio-economic factors, emphasising the need for continuous preparedness to manage future epidemic threats in vulnerable communities effectively.

State of Geographic Access to Cancer Treatment Trials in the United States: Are Studies Located Where Patients Live?

In this study, we describe the geographic distribution of US cancer treatment trials to identify disparities and opportunities for targeted improvements in access to research for people with cancer. US-based phase I-III cancer treatment trials registered on ClinicalTrials.gov were tabulated for the years they were open to enrollment (2017-2022), overall and by county, and supplemented with data from the US Census Bureau, National Cancer Institute, Centers for Disease Control and Prevention, and US Department of Agriculture. We evaluated geographic differences in trial availability. We assessed 5-year trends in trials per capita and mapped 1-hour drive time areas around sites. A total of 6,710 trials were open to enrollment in 2022 across 1,836 sites. Trials increased by 4%, whereas sites decreased by 3% annually per capita from 2017. Seventy percent of US counties had no reported active trials in 2022 (2,211/3,143), representing 19% of people age ≥55 years. Eighty-six percent of nonmetropolitan counties had no trials versus 44% of metropolitan counties. Trial availability varied by county-level cancer mortality and social vulnerability (an index derived from demographic and socioeconomic data from the US Census). Eighteen percent of counties without trials had oncologist care sites (n = 618). Notably, 26% of people age ≥55 years lived beyond an hour drive of a site with ≥100 trials. Most US counties have limited to no trial offerings, a disparity magnified in counties that are nonmetropolitan, with high social vulnerability, and with high cancer mortality. Effort to facilitate diverse site participation is needed to promote equitable access to trials and to ensure patients participating in trials match the characteristics of patients who will receive interventions once approved. Counties with oncology care sites but no trials provide potential expansion areas.

Effects of Social Vulnerability and Environmental Burden on Care Fragmentation and Social Needs Among Individuals With Rheumatic Conditions.

Environmental hazards and heightened neighborhood social vulnerability coexist and disproportionately affect minoritized populations. We investigated associations between exposure to adverse environmental burden concentrated in areas with high social vulnerability and care fragmentation (missed appointments, emergency department visits, and hospitalizations) and social needs (eg, food and housing insecurity) among individuals with rheumatic conditions. We identified adults receiving care in a Massachusetts multihospital system with at least two rheumatic disease codes and complete street addresses. Geocoded addresses were linked to the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry Social-Environmental Ranking (SER), which combines census-tract social vulnerability variables (eg, socioeconomic status) with environmental hazards (eg, air and water pollution). Social needs were obtained from self-reported surveys. Multilevel, multinomial regression models estimated associations between SER quartiles and care fragmentation and social need burden, accounting for demographics and comorbidities. Among 16,856 individuals with rheumatic conditions, 70% were female, 6% were Black, 82% were White, and 7% resided in the highest combined social vulnerability and environmental burden (SER quartile 4) areas. Among 7,083 with social needs data, 19% experienced more than one challenge. Individuals in SER quartile 4 areas (vs quartile 1) had 2.02 (95% confidence interval [CI] 1.67-2.46) times greater odds of at least four care fragmentation occurrences (vs 0) and 2.37 (95% CI 1.73-3.25) times greater odds of at least two social needs (vs 0). Residence in areas of high combined adverse environmental burden and social vulnerability was associated with significantly greater odds of care fragmentation and social needs. Addressing structural factors and emerging environmental threats contributing to these adverse exposures is essential to reduce rheumatic disease care inequities.

Urban Natural Gas Pipeline Operational Vulnerability Under the Influence of a Social Spatial Distribution Structure: A Case Study of the Safety Risk Patterns in Kunming, China.

Frequent urban natural gas pipeline accidents pose a serious threat to the safety of people and property in surrounding areas. However, current research on natural gas pipeline risks primarily focuses on evaluating the pipelines themselves, with no established method for assessing the impact of pipeline disasters on surrounding areas. This paper proposes an urban natural gas pipeline risk assessment method that integrates the physical attributes of the pipelines with an analysis of social vulnerability based on urban social spatial distribution. Using urban Point of Interest (POI) data, a social spatial distribution model for potential natural gas pipeline accidents is constructed. The risk of pipeline failure is assessed based on physical vulnerability, while the consequences of failure are evaluated through social vulnerability. This method combines the analysis of physical and social vulnerabilities to achieve a comprehensive urban natural gas pipeline risk assessment. The results identified 68 out of 6148 pipelines in the study area as "double high" pipelines, characterized by high physical vulnerability (relatively high risk pipelines) and high social vulnerability (involving level IV areas). The high risk communities identified in the study area are the Cuihu West Road Community and the Daguan Commercial City Community, highlighting the characteristics of risk distribution. The findings suggest that this study contributes to improving urban resilience to natural gas pipeline incidents, reducing potential economic losses and public impacts, and enhancing urban public safety. It also provides new insights into natural gas pipeline risk assessment and urban public safety research.

Temporal trends in lipoprotein(a) testing among United States veterans from 2014 to 2023

ObjectiveLipoprotein (a) [Lp(a)] is a causal, genetically-inherited risk amplifier for atherosclerotic cardiovascular disease (ASCVD). Practice guidelines increasingly recommend broad Lp(a) screening among various populations to optimize preventive care. Corresponding changes in testing rates and population-level detection of elevated Lp(a) in recent years has not been well described. MethodsUsing Veterans Affairs electronic health record data, we performed a retrospective cohort study evaluating temporal trends in Lp(a) testing and detection of elevated Lp(a) levels (defined as greater than 50 mg/dL) from January 1, 2014 to December 31, 2023 among United States Veterans without prior Lp(a) testing. Testing rates were stratified based on demographic and clinical factors to investigate possible drivers for and disparities in testing: age, sex, race and ethnicity, history of ASCVD, and neighborhood social vulnerability. ResultsLp(a) testing increased nationally from 1 test per 10,000 eligible Veterans (558 tests) in 2014 to 9 tests per 10,000 (4,440 tests) in 2023, while the proportion of elevated Lp(a) levels remained stable. Factors associated with higher likelihood of Lp(a) testing over time were a history of ASCVD, Asian race, and residing in neighborhoods with less social vulnerability. ConclusionDespite a 9-fold increase in Lp(a) testing among US Veterans over the last decade, the overall testing rate remains extremely low. The steady proportion of Veterans with elevated Lp(a) over time supports the clinical utility of testing expansion. Efforts to increase testing, especially among Veterans living in neighborhoods with high social vulnerability, will be important to reduce emerging disparities as novel therapeutics to target Lp(a) become available.

Upper gastrointestinal cancers: Trends and determinants of location of death

BackgroundPatients diagnosed with upper gastrointestinal cancers often require extensive end-of-life care. We sought to investigate social determinants of health associated with disparities in the location of death among patients who died of upper gastrointestinal cancers. MethodsPatients who died between 2003 and 2020 from esophageal cancer, gastric cancer, hepatobiliary cancer, and pancreatic cancer were identified using the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database. Social determinants of health were assessed using the Social Vulnerability Index. Patients were categorized on the basis of location of death: inpatient hospital, home, nursing home, hospice, and outpatient medical facility/emergency department. Multivariable regression and mediation analyses defined the association of patient race as well as social determinants of health with location of death. ResultsAmong 815,780 decedents (esophageal cancer: 15.3%; gastric cancer: 3.6%; hepatobiliary cancer: 36.6%; pancreatic cancer: 54.5%), most were male (60.8%), aged 55–74 years (52.3%), and White (89.1%). Most decedents died at home (55.7%), followed by inpatient hospital (24.8%), hospice (9.0%), nursing home (8.1%), and outpatient medical facility/emergency department (2.5%). During the study period, location of death shifted notably from inpatient hospital (36.8% to 21.3%) to home (45.8% to 56.3%). Residents of high Social Vulnerability Index areas were more likely to die at inpatient hospital compared with home (31.8% vs 24.3%) (P < .001). Black race (reference: White; odds ratio; 0.41, 95% confidence interval, 0.40–0.42) and social vulnerability (reference: low Social Vulnerability Index; odds ratio, 0.64, 95% confidence interval, 0.63–0.65) remained independently associated with lower odds of dying at home compared with an inpatient hospital. Notably, 65% of the overall race-based association with death at inpatient hospital was driven indirectly through social determinants of health. ConclusionSocial determinants are important drivers of end-of-life care and impact the potential ability of patients with cancer to die at home.

Prenatal Care Utilization and Birth Outcomes After Expansion of the National Health Service Corps.

The National Health Service Corps (NHSC) attracts clinicians to Health Professional Shortage Areas (HPSAs) through scholarships and loan repayments. Since 2009, the NHSC workforce, including maternity care clinicians, has substantially expanded. This study evaluates the association between NHSC expansion and prenatal care and birth outcomes. In this quasi-experimental study, we adopted a generalized difference-in-differences design to compare changes in prenatal care and birth outcomes from 2005 to 2019 using birth certificate data. Counties designated as HPSAs without any NHSC maternity care clinicians throughout the study period were control counties, and those without such clinicians before 2009 but receiving them after 2009 were treated counties. Outcome measures include a count variable of number of prenatal visits and four dichotomous variables: prenatal care initiation in the first trimester, adequacy of prenatal care, preterm birth, and low birth weight. We estimated negative binomial models for number of prenatal visits and linear probability models for the dichotomous outcomes, adjusting for maternal characteristics, non-NHSC clinician density, and state-level policies. Stratified analyses were also conducted on the basis of birthing people's demographics and county-level characteristics. Our sample comprised 12,980,111 live births between 2005 and 2019 by individuals residing in 1,254 HPSA counties without any NHSC maternity care clinicians before 2009, including 222 counties that received such clinicians after 2009. Compared with control counties, pregnant people in treated counties experienced significant increases in prenatal visits (211 more prenatal visits relative to baseline of 11,226 visits per 1,000 births, P<.001) and in the likelihood of receiving adequate prenatal care (1.43 percentage point increase relative to baseline of 67.0 percentage points, P<.01). Although the NHSC expansion improved prenatal care use for all racial and ethnic groups, pregnant people residing in urban and high social vulnerability areas benefited most. Improvements in birth outcomes were observed only among certain subgroups such as a 0.91 percentage point reduction in preterm birth (relative to baseline of 12.6 percentage points, P<.001) and a 0.87 percentage point reduction in low birth weight (relative to baseline of 8.2 percentage points, P<.05) among pregnant people living in full-county HPSAs. The NHSC expansion since 2009 was associated with increases in prenatal care utilization, particularly among vulnerable populations. Although improvements were not observed in birth outcomes overall with NHSC expansion, modest reductions were observed in preterm birth and low birth weight in subsets of the population.

Social vulnerability and perioperative outcomes after colectomy for colon cancer

BackgroundThe 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. MethodsThis is a retrospective cross-sectional study of Medicare patients aged 65 to 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. ResultsThe 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 than those in the lowest quintile (35.6% vs 28.9%; adjusted odds ratio [aOR], 1.36; 95% CI, 1.31–1.41; P < .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; 95% CI, 1.12–1.29; P < .001) and 1-year mortality (10.8% vs 8.6%; aOR, 1.30; 95% CI, 1.22–1.37; P < .001) than patients living in the lowest quintile of social vulnerability. When evaluating the elective and unplanned cohorts separately, these differences persisted. ConclusionAmong 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.

Social Determinants of Health and Hidradenitis Suppurativa Disease Severity: A Geocoded Analysis.

The relationship between social determinants of health and hidradenitis suppurativa disease severity has been minimally explored. In this geocoded, census tract-level analysis, we demonstrate that patients living in census tracts with high social vulnerability scores were more than twice as likely to have Hurley stage III disease than those in tracts with lower social vulnerability scores, after controlling for sex, race, body mass index, smoking status and age of symptom onset.

The Relationship Between Race, Social Vulnerability Index, and Clinical Follow-Up After Surgical Resection of Pituitary Tumors

IntroductionSocioeconomic status and race have been found to influence patient outcomes for various cancer subtypes. In particular, minority and economically vulnerable patients present with more advanced disease and experience decreased survival compared to others. The aim of this study was to analyze the association between demographic or socioeconomic variables and rates of post-surgical follow-up after pituitary neuroendocrine tumor (PitNET) resection. MethodsA retrospective review was completed for patients with PitNETs who underwent surgery between 2018-2021. Patient demographics and information related to post-operative appointments and MRIs were obtained. Social vulnerability index (SVI) scores were recorded from the Centers for Disease Control based on nationwide census tracts. ResultsOne-hundred and sixteen patients were included in the analysis (57 males). In this cohort, 50% were Black, 34% Hispanic, 9% White, and 1% Asian. Mean overall SVI score was 0.81±0.23. The mean number of cancelled appointments was significantly higher in the moderate-high/high SVI group (p=0.034). Additionally, 30% of patients with moderate-high/high SVI had ≥2 cancelled follow-up visits compared to 0% among patients with low/low-moderate SVI (p=0.035). On average, White patients were less likely than non-White patients to have at least one cancelled follow-up appointment (p=0.048). ConclusionBlack patients and those with high social vulnerability have decreased rates of follow-up after PitNET resection. Follow-up delays can lead to failed identification of tumor recurrence, potentially resulting in more advanced disease by the time medical care is re-initiated and increasing rates of patient morbidity and mortality. As a result, further work is needed to address and bridge these care gaps.

Social Vulnerability and National Diabetes Prevention Program Recognition Status

IntroductionThe CDC National Diabetes Prevention Program (National DPP) aims to reduce the incidence of diabetes in the U.S. Organizations delivering the National DPP receive pending, preliminary, full, or full-plus recognition status based on specific program criteria and outcomes. Achieving full/full-plus recognition is critical for organizations to sustain the program and receive reimbursements to cover costs, but organizations in disadvantaged areas may face barriers to obtaining this level of recognition. This study examined the association between county-level social vulnerability and full/full-plus recognition status within the National DPP. MethodsUsing the 2022 National DPP registry and the 2018 CDC Social Vulnerability Index (SVI), a three-level categorical dependent variable was created (n=843): counties without organizations having full/full-plus recognition, counties with at least one organization not having full/full-plus recognition, and counties with all organizations having full/full-plus recognition. A multinomial logit model was analyzed in 2023 to examine the association between SVI and in-person full/full-plus recognition organizations at the county level, adjusting for confounders. ResultsCompared to counties with low social vulnerability, counties with higher social vulnerability had significantly higher odds of having no organizations with full/full-plus recognition. For example, counties with high SVI had 2.63 (95% CI: 1.55-4.47) times higher odds of having no organizations with full/full-plus recognition compared to having all organizations with full/full-plus CDC recognition. ConclusionsThe findings suggest disparities in the National DPP recognition status among organizations in vulnerable communities. Developing strategies to ensure organizations in high social vulnerability areas achieve at least full recognition status is critical for program sustainability and reducing diabetes-related health disparities.

Vulnerable populations and the emergency ventral hernia: A retrospective cohort study

IntroductionVentral hernias can be repaired electively; however, many circumstances require emergency repair. The association between sociodemographic status and rate of emergency repair are unclear and the Social Vulnerability Index may be a useful tool to better understanding this association. The purpose of this study was to investigate the association between Social Vulnerability Index and emergency ventral hernia repair. MethodsThis was a retrospective cohort study using the National Surgical Quality Improvement Program (2012–2018) data for patients at a level 1 trauma center. We included patients who had an open ventral hernia repair. Social Vulnerability Index was based on residential address at the time of surgery. We conducted univariate and bivariate statistics, including χ2 and Mann-Whitney U tests to compare high and low social vulnerability. ResultsOur sample had 1,017 patients. Patients who underwent emergency operations were older (P = .025) and had higher Social Vulnerability Index (P = .029). Patients in the high Social Vulnerability Index group were 1.5 times more likely to receive emergency surgery (P = .047). Emergency repair was also associated with increased frequency of nonhome discharge (9% vs 2%, P = .001) and higher mean work relative value unit (15.4 vs 11.9, P < .001). ConclusionPatients requiring emergency ventral hernia repair have significantly higher Social Vulnerability Index than those undergoing elective repair. This vulnerable population also has increased cost associated with the repair and higher rates of nonhome discharge. This work provides a foundation for efforts to reach patients in high Social Vulnerability Index environments at an earlier stage to achieve earlier elective repair.

Demographic, clinical, and social characteristics of anal cancer among patients stratified by age (

BackgroundAnal cancer is increasing globally, with a high number of new cases occurring in highly developed countries, including the U.S. The incidence of anal cancer is higher among people living with HIV (PLHIV), and the U.S. South continues to see higher HIV incidence rates and lagging HPV vaccination rates. We aimed to identify factors associated with early onset anal cancer in Alabama which may help explain cancer disparities in the South. MethodsUsing a cross-sectional study design, we examined demographic, clinical, and social characteristics among anal cancer patients stratified by diagnosis age (<50 and ≥50 years) in the Alabama cancer registry between 2012 and 2018. We used Wilcoxon rank sums and Pearson chi-square tests to assess associations between age at diagnosis, demographic (i.e., sex, race, marital status), clinical (i.e., BMI, HIV infection, site, stage, and histological type), and social (i.e. social vulnerability) characteristics, and multivariable logistic regression to estimate the odds of early onset cancer. ResultsAmong 519 patients with anal cancer in Alabama, 92 (17.7 %) were diagnosed at <50 years. The majority of patients were female (66.5 %) and White (83.4 %). Male sex, Black race, and HIV infection were associated with younger age at diagnosis. Black patients had a 4-fold increased odds of early onset anal cancer compared to White patients (AOR=4.39, CI=1.54–12.49). Black patients disproportionately lived in areas with higher social vulnerability. About 42 % of patients in areas with the highest social vulnerability were diagnosed with stage 3 or 4 cancer. About 8 % of cases were among people aged 35–44 years, which is close to double the proportion of anal cancer cases in this age group in the U.S. (4.7 %). ConclusionsPatients who are Black, male, and PLHIV may be at higher risk of early onset anal cancer compared to other populations in the South.

Provider-to-provider telemedicine for sepsis is used less frequently in communities with high social vulnerability.

Sepsis disproportionately affects patients in rural and socially vulnerable communities. A promising strategy to address this disparity is provider-to-provider emergency department (ED)-based telehealth consultation (tele-ED). The objective of this study was to determine if county-level social vulnerability index (SVI) was associated with tele-ED use for sepsis and, if so, which SVI elements were most strongly associated. We used data from the TELEmedicine as a Virtual Intervention for Sepsis in Rural Emergency Department study. The primary exposures were SVI aggregate and component scores. We usedmultivariable generalized estimating equations to model the association between SVI and tele-ED use. Our study cohort included 1191 patients treated in 23 Midwestern rural EDs between August 2016 and June 2019, of whom 326 (27.4%) were treated with tele-ED. Providers in counties with a high SVI were less likely to use tele-ED (adjusted odds ratio [aOR] = 0.51, 95% confidence interval [CI] 0.31‒0.87), an effect principally attributable to the housing type and transportation component of SVI (aOR = 0.44, 95% CI 0.22-0.89). Providers who treated fewer sepsis patients (1‒10vs. 31+ over study period) and therefore may have been less experienced in sepsis care, were more likely to activate tele-ED (aOR = 3.91, 95% CI 2.08‒7.38). Tele-ED use for sepsis was lower in socially vulnerable counties and higher among providers who treated fewer sepsis patients. These findings suggest that while tele-ED increases access to specialized care, it may not completely ameliorate sepsis disparities due to its less frequent use in socially vulnerable communities.