OBJECTIVE: 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).
CONCLUSIONS: 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.

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.

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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.
CONCLUSIONS: 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.

UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: Our findings reveal a high burden of severe and persistent physical and mental health sequelae in a socially vulnerable community following COVID-19.
UNASSIGNED: 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).

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.

OBJECTIVE: To evaluate the distribution of the proportion of teenage mothers (PTM) in time and space and its relationship with socioeconomic indicators and social vulnerability.
METHODS: An ecological study was carried out with teenage mothers living in 322 census tracts in Foz do Iguaçu (state of Paraná, Brazil) between 2013 and 2019. Spatial clusters of teenage mothers were identified by spatial scanning and grouped into strata with different prevalence. The association between these strata and the individual social vulnerability of the mothers was evaluated using the Pearson\'s Chi-square test. Linear regression models were adjusted to evaluate the association between PTM and socioeconomic factors by census tract and temporal trend in PTM in different strata.
RESULTS: We identified five high prevalence clusters in peripheral regions and six with low prevalence in the central region of the municipality. Proportionally, there were more teenage mothers with a worse vulnerability index in the high prevalence stratum than in the low prevalence stratum. Places with worse socioeconomic conditions present higher PTM, a profile that did not change over time. For the increase of one unit in the Brazilian Deprivation Index and proportion of women responsible for the household, the PTM increased, respectively, by 3.8 (95%CI 3.1-4.4) and 0.086% (95%CI 0.03-0.14). There was a reduction in the global PTM in part of the period, which occurred later in the higher prevalence strata, but the proportions were stable again in the last years of study.
CONCLUSIONS: Teenage pregnancy is concentrated in regions with worse socioeconomic conditions and greater maternal vulnerability and its behavior over time occurred differently in these areas.

Objective: Electronic consultations (e-consults) provide a strategic solution to address challenges in health care systems related to cost management and access to care. This study aims to investigate the multilevel patient characteristics associated with higher frequency of receiving e-consults and increased likelihood of completion. Materials and Methods: University of Colorado\'s electronic medical record were analyzed to study factors influencing referral types (e-consult vs. standard) and their completion rates from April 2018 to September 2023. Multivariate probit regression assessed the impact of patient-level and community-level factors (urban-rural classification, Social Vulnerability Index, and technology accessibility) on e-consult referrals and completion. Results: In 263,882 records, 92.5% were standard referrals, and 7.4% were e-consult referrals. Analysis showed that females were less likely than males (OR = 0.95, 95%CI[0.93, 0.96]), and Blacks were more likely than Whites (OR = 1.03, 95%CI[1.01,1.06]) to receive e-consult referrals. Medicaid patients had lower odds compared to those with Medicare only (OR = 1.04, 95%CI[1.00,1.07]), and rural residency was associated with lower odds (OR = 0.80, 95%CI[0.73,0.88]) of e-consult referral. Factors such as areas with higher population without internet subscription (OR = 1.03, 95%CI[1.01,1.04]) and higher social vulnerabilities (OR = 1.26, 95%CI[1.16,1.37]) increased e-consult odds. Black patients were less likely to have their referrals completed compared to Whites. Patients who resided in regions with limited computer and smartphone access, as well as higher social vulnerabilities, showed decreased odds of referral completion. Discussions and Conclusion: This study highlights the need for partnering with a variety of health care organizations, especially those serving low-income and disadvantaged populations, to enhance health care access equity through the use of e-consults.

Health literacy (HL) is a crucial factor influencing health-related decisions, including dietary patterns. The Mediterranean diet is widely recognized as one of the healthiest eating patterns. This study aims to explore the association between HL levels among adults in socially vulnerable contexts and their adoption of the Mediterranean diet. Conducted as part of a cluster-randomized trial in primary schools, the research involved 557 parents of children aged 6 to 10 who consented to participate. HL was assessed using the HLS questionnaire, while adoption of the Mediterranean diet was evaluated using the MEDAS questionnaire. Participants also provided anthropometric and sociodemographic data via a questionnaire, from which BMI was calculated (weight/height2). Education level was categorized as higher education or lower and professional status was classified based on occupational categories. Generalized linear models and logistic regression were employed for analysis. The findings indicate a direct association between HL level and adoption of the Mediterranean diet (B = 0.022, 95% CI 0.010-0.035, p < 0.001), underscoring the influence of HL on dietary choices. Specifically, the healthcare dimension of HL emerges as pivotal in shaping dietary behaviors, particularly towards the Mediterranean diet. These results underscore the importance of policies and programs aimed at enhancing HL, especially among socially vulnerable populations. Prioritizing public health interventions to improve HL is critical for promoting better dietary decision-making.

OBJECTIVE: To investigate the associations between family structure and social vulnerability with TDIs in children and adolescents.
METHODS: An electronic search was conducted in seven databases (PubMed, Scopus, LILACS, Embase, Web of Science, ProQuest, and Google Scholar) to retrieve observational studies that evaluated the prevalence of TDIs. The risk of bias was assessed using the JBI Critical Appraisal Tools. Meta-analyses were also conducted using odds ratios (ORs) and 95% confidence intervals (CIs). The certainty of evidence was evaluated using the GRADE approach.
RESULTS: Out of 7,424 records, seventeen articles were included (n = 18,806 children and adolescents aged between 0 and 19 years). Only two studies had a low risk of bias. Children and adolescents from nonnuclear families were more likely to suffer from TDIs (OR: 1.39; 95% CI: 1.17; 1.66). On the other hand, the level of social vulnerability did not show a positive association with TDIs (OR - 1.21; 95% CI: 1.00; 1.47). The GRADE approach assessed the certainty of evidence as low.
CONCLUSIONS: Despite the uncertainty of the evidence, children and adolescents from nonnuclear families are more likely to have TDIs than are those from nuclear families. On the other hand, social vulnerability does not seem to be associated with episodes of TDIs in children and adolescents.
CONCLUSIONS: Through knowledge of the risk factors for TDIs, it is possible to develop public policies for their prevention.