RESUMO

OBJECTIVE: To investigate how individual social determinants of health (SDOH) and cumulative social disadvantage (CSD) affect survival and receipt of liver transplant (LT) in patients with hepatocellular carcinoma (HCC). METHODS: We enrolled 139 adult patients from two Indianapolis hospital systems between June 2019 and April 2022. Structured questionnaires collected SDOH and social risk factor data. We compared SDOH and CSD by race, gender and disease aetiology, assigning one point per adverse SDOH. Multivariable competing risk survival analysis assessed associations between SDOH, CSD, survival and LT receipt. RESULTS: Black patients experienced higher CSD than white patients in the cohort (5.4±2.5 vs 3.2±2.1, p<0.001). Black patients were significantly more likely to have household incomes

Assuntos

Carcinoma Hepatocelular , Letramento em Saúde , Neoplasias Hepáticas , Transplante de Fígado , Determinantes Sociais da Saúde , Humanos , Carcinoma Hepatocelular/cirurgia , Carcinoma Hepatocelular/mortalidade , Masculino , Feminino , Neoplasias Hepáticas/cirurgia , Neoplasias Hepáticas/mortalidade , Transplante de Fígado/estatística & dados numéricos , Pessoa de Meia-Idade , Letramento em Saúde/estatística & dados numéricos , Estudos Prospectivos , Determinantes Sociais da Saúde/estatística & dados numéricos , Idoso , Fatores de Risco , Fatores Socioeconômicos , Adulto , Estados Unidos/epidemiologia , Análise de Sobrevida

RESUMO

Importance: Since 2019 and 2020, Medicare Advantage (MA) plans have been able to offer supplemental benefits that address long-term services and supports (LTSS) and social determinants of health (SDOH). Objective: To examine the temporal trends and geographic variation in enrollment in MA plans offering LTSS and SDOH benefits. Design, Setting, and Participants: This cross-sectional study used publicly available data to examine changes in beneficiary enrollment and plan offerings of LTSS and SDOH benefits from the benefits data from the second quarter of each year and other data from April of each year except 2024, for which the first quarter was the latest for benefits data and January the latest for other data at the time of analysis. Multivariable linear regression models for each type of benefit were used to investigate associations between county characteristics and enrollment in 2024. Analyses were stratified for (1) Dual Eligible Special Needs Plans (D-SNPs) that exclusively enroll dual-eligible beneficiaries and (2) non-D-SNPs. Main Outcomes and Measures: The percentage of MA enrollees in plans offering LTSS or SDOH benefits at the county level. Results: This study included 2 631 697 D-SNP and 20 114 506 non-D-SNP enrollees in 2020, which increased to 5 494 426 and 25 561 455, respectively, in 2024. From 2020 to 2024, the percentage of D-SNP enrollees in plans offering SDOH benefits increased from 9% to 46%, whereas the percentage fluctuated between 23% and 39% for LTSS benefits. There was an increase in non-D-SNP enrollees with LTSS (from 9% to 22%) and SDOH (from 4% to 20%) benefits from 2020 to 2023, which decreased in 2024. In 2024, the most offered LTSS benefit was in-home support services, and the most offered SDOH benefit was food and produce. The percentage of enrollees with these benefits varied across counties in 2024. In multivariable linear regression models, among D-SNPs, enrollment in plans offering any SDOH benefits was higher in counties with greater MA penetration (coefficient, 5.0 percentage points [pp] per 10-pp change; 95% CI, 2.1-7.9 pp), in urban counties (coefficient, 7.2 pp vs rural counties; 95% CI, 3.8-10.6 pp), in counties with greater enrollment in fully integrated D-SNPs (coefficient, 3.0 pp per 10-pp change; 95% CI, 2.2-3.9 pp), and in counties in states with approved Medicaid home- and community-based services waivers for individuals 65 years or older or those with disabilities (coefficient, 10.8 pp; 95% CI, 4.0-17.6 pp). Enrollment in D-SNPs offering LTSS benefits was also higher in counties with greater MA penetration (coefficient, 5.9 pp per 10-pp change; 95% CI, 2.4-9.5 pp), urban vs rural counties (coefficient, 4.6 pp; 95% CI, 1.1-8.1 pp), and counties with greater enrollment in fully integrated D-SNPs (coefficient, 3.0 pp per 10-pp change; 95% CI, 2.1-3.9 pp) in addition to counties with greater social vulnerability scores (coefficient, 1.4 pp per 10-pp change; 95% CI, 0.3-2.5 pp). Conclusions and Relevance: In this cross-sectional study of MA plans and enrollees, an increase in enrollment was most consistent in D-SNPs offering SDOH benefits compared with LTSS benefits and in D-SNPs compared with non-D-SNPs. Geographic variation in enrollment patterns highlights potential gaps in access to LTSS and SDOH benefits for rural MA beneficiaries and dual-eligible enrollees living in counties with lower enrollment in fully integrated D-SNPs and states with more limited Medicaid home- and community-based services coverage.

Assuntos

Medicare Part C , Humanos , Estados Unidos , Medicare Part C/estatística & dados numéricos , Estudos Transversais , Idoso , Benefícios do Seguro/estatística & dados numéricos , Feminino , Masculino , Determinantes Sociais da Saúde/estatística & dados numéricos

RESUMO

Importance: Social determinants of health (SDOH) influence health outcomes, including those of sickle cell disease (SCD), despite advancements in treatments like disease-modifying therapies. Objective: To investigate the association of SDOH with SCD mortality rates from 2016 to 2020. Design, Setting, and Participants: This cross-sectional study combined county-level data from the Centers for Disease Control and Prevention and Agency for Toxic Substances and Disease Registry Social Vulnerability Index (SVI) with SCD mortality data from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database from January 1, 2016, to December 31, 2020. US counties were divided into 4 quartile (Q) models according to their SVI scores. Deaths from SCD in the US among patients of all ages were included. Data analysis occurred from March to April 2024. Exposure: SVI score. Main Outcomes and Measures: Age-adjusted mortality rates (AAMRs) per 1 000 000 individuals were measured. Rate ratios (RRs) were obtained by comparing county-specific AAMRs of SVI-Q4 with SVI-Q1. Results: From 2016 to 2020, among a total population of 1 633 737 771 individuals, there were 2635 deaths from SCD (1289 male [49.1%] and 1336 female [50.9%]). There were 1480 deaths in Q4, 687 deaths in Q3, 344 deaths in Q2, and 114 deaths in Q1. Higher SVI was associated with 2.11 excess deaths per 1 000 000 individuals (RR, 4.90; 95% CI, 4.81-5.00). Similar trends were seen for both males (RR, 4.56; 95% CI, 4.44-4.69) and females (RR, 5.85; 95% CI, 5.68-6.03). Middle-aged patients with SCD had the highest mortality rate in Q4, with 3.45 excess deaths per 1 000 000 individuals (RR, 4.97; 95% CI, 4.85-5.09). Higher SVI was associated with 2.29 excess deaths per 1 000 000 individuals in African American individuals with SCD (RR, 1.24; 95% CI, 1.22-1.27]). In White individuals with SCD, higher SVI was associated with 0.12 excess deaths per 1 000 000 individuals (RR not available due to unreliable data in Q1). When stratifying by census region, the highest level of SCD-related mortality was in the Northeast, with higher SVI associated with 3.16 excess deaths per 1 000 000 individuals (RR, 8.02; 95% CI, 7.66-8.40). Conclusions: In this cross-sectional study of the association of SVI with SCD mortality rates, higher SVI was associated with higher SCD mortality across US counties. These findings underscore the importance of addressing social determinants of health to improve mortality outcomes among patients with SCD.

Assuntos

Anemia Falciforme , Determinantes Sociais da Saúde , Vulnerabilidade Social , Humanos , Anemia Falciforme/mortalidade , Estados Unidos/epidemiologia , Masculino , Feminino , Estudos Transversais , Adulto , Pessoa de Meia-Idade , Determinantes Sociais da Saúde/estatística & dados numéricos , Adolescente , Criança , Adulto Jovem , Pré-Escolar , Lactente

RESUMO

Background: Health equity is defined as the absence of unjust and avoidable disparities in access to healthcare, quality of care, or health outcomes. The World Health Organization (WHO) has developed a conceptual framework that outlines the main causes of health inequalities and how these contribute to health inequities within a population. Despite the WHO implementing health equity policies to ensure accessibility and quality of healthcare services, disparities persist in the management of patients suffering from low back pain (LBP). The objective of this study was to review the existing evidence on the impact of health inequities on the care trajectories and treatments provided to individuals with LBP. Methods: A narrative review was performed, which included a literature search without language and study design restrictions in MEDLINE Ovid database, from January 1, 2000, to May 15, 2023. Search terms included free-text words for the key concepts of "low back pain," "health inequities," "care pathways," and "sociodemographic factors." Results: Studies have revealed a statistically significant association between the prevalence of consultations for LBP and increasing age. Additionally, a significant association between healthcare utilization and gender was found, revealing that women were more likely to seek medical attention for LBP compared to men. Furthermore, notable disparities related to race and ethnicity were identified, more specifically in opioid prescriptions, spinal surgery recommendations, and access to complementary and alternative medical approaches for LBP. A cross-sectional analysis found that non-Hispanic White individuals with chronic LBP were more likely to be prescribed one or more pharmacological treatments. Lower socioeconomic status and level of education, as well as living in lower-income areas were also found to be associated with greater risks of receiving non-guideline concordant care, including opioid and MRI prescriptions, before undergoing any conservative treatments. Conclusion: Persistent inequalities related to sociodemographic determinants significantly influence access to care and care pathways of patients suffering from LBP, underscoring the need for additional measures to achieve equitable health outcomes. Efforts are needed to better understand the needs and expectations of patients suffering from LBP and how their individual characteristics may affect their utilization of healthcare services.

Assuntos

Dor Lombar , Humanos , Dor Lombar/terapia , Disparidades em Assistência à Saúde/estatística & dados numéricos , Acessibilidade aos Serviços de Saúde/estatística & dados numéricos , Masculino , Fatores Socioeconômicos , Feminino , Fatores Sociodemográficos , Determinantes Sociais da Saúde/estatística & dados numéricos , Desigualdades de Saúde

RESUMO

Importance: It is not well understood if and how various social and environmental determinants of health (SEDoH) are associated with mortality rates related to cardio-kidney-metabolic syndrome (CKM) across the US. Objective: To study the magnitude of the association strength of SEDoH with CKM-related mortality at the county level across the US. Design, Setting, and Participants: This cross-sectional, retrospective, population-based study used aggregate county-level data from the US Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (WONDER) data portal from 2010-2019. Data analysis occurred from September 2023 to January 2024. Exposures: A total of 7 diverse SEDoH were chosen, including median annual household income, percentage of racial and ethnic minority residents per county, fine particulate air pollution (PM2.5) concentrations, high-school completion rate, primary health care access, food insecurity, and rurality rate. Main Outcomes and Measures: The primary outcome was county-level age-adjusted mortality rate (aaMR) attributable to CKM. The association of county-level CKM-related aaMR with the 7 SEDoH was analyzed using geographically weighted models and the model median coefficients for each covariate studied. Results: Data from 3101 of 3243 counties (95.6%) were analyzed. There was substantial variation in SEDoH between states and counties. The overall pooled median (IQR) aaMR (2010-2019) in the US was 505.5 (441.3-578.9) per 100 000 residents. Most counties in the lower half of the US had rates much higher than the pooled median (eg, Southern US median [IQR] aaMR, 537.3 [466.0-615.9] per 100 000 residents). CKM-related mortality was positively associated with the food insecurity rate (median [IQR] ß = 6.78 [2.78-11.56]) and PM2.5 concentrations (median [IQR] ß = 5.52 [-11.06 to 19.70]), while it was negatively associated with median annual household income (median [IQR] ß = -0.002 [-0.003 to -0.001]), rurality (median [IQR] ß = -0.32 [-0.67 to 0.02]), high school completion rate (median [IQR] ß = -1.89 [-4.54 to 0.10]), racial and ethnic minority rate (median [IQR] ß = -0.66 [-1.85 to 0.89]), and primary health care access rate (median [IQR] ß = -0.18 [-0.35 to 0.07]). Conclusions and Relevance: In this cross-sectional study of county-level data across the US, there were substantial geographical differences in the magnitude of the association of SEDoH with CKM-related aaMR. These findings may provide guidance for deciding local health care policy.

Assuntos

Síndrome Metabólica , Determinantes Sociais da Saúde , Humanos , Estudos Transversais , Síndrome Metabólica/mortalidade , Síndrome Metabólica/epidemiologia , Estados Unidos/epidemiologia , Estudos Retrospectivos , Masculino , Feminino , Determinantes Sociais da Saúde/estatística & dados numéricos , Síndrome Cardiorrenal/mortalidade , Pessoa de Meia-Idade , Adulto , Idoso

RESUMO

Objective: This study systematically reviews evidence of socioeconomic health disparities in Costa Rica, a middle-income country, to elucidate the relationship between socioeconomic status and health outcomes. Methods: Published studies were identified through a systematic review of PubMed (English) and Scielo (Spanish) databases from December 2023 to January 2024, following PRISMA guidelines. Search terms included socioeconomic status, social determinants, social gradient in health, and health inequalities. Results: Of 236 identified references, 55 met the inclusion criteria. Findings were categorized into health inequalities in mortality (among the general population, infants, and older adults), life expectancy, cause-specific mortality, and health determinants or risk factors mediating the association between the social environment and health. The studies indicate higher mortality among the most disadvantaged groups, including deaths from respiratory diseases, violence, and infections. Higher socioeconomic status was associated with lower mortality rates in the 1990s, indicating a positive social gradient in health (RII = 1.3, CI [1.1-1.5]). Disparities were less pronounced among older adults. Urban areas exhibited concentrated wealth and increased risky behaviors, while rural areas, despite greater socioeconomic deprivation, showed a lower prevalence of risky behaviors. Regarding smoking, people living in rural areas smoked significantly less than those in urban areas (7% vs. 10%). Despite the relatively equitable distribution of public primary healthcare, disparities persisted in the timely diagnosis and treatment of chronic diseases. Cancer survival rates post-diagnosis were positively correlated with the wealth of districts (1.23 [1.12-1.35] for all cancers combined). Conclusion: The study highlights the existence of social health inequalities in Costa Rica. However, despite being one of the most unequal OECD countries, Costa Rica shows relatively modest social gradients in health compared to other middle and high-income nations. This phenomenon can be attributed to distinctive social patterns in health behaviors and the equalizing influence of the universal healthcare system.

Assuntos

Disparidades nos Níveis de Saúde , Humanos , Costa Rica , Fatores Socioeconômicos , Fatores de Risco , Expectativa de Vida , Determinantes Sociais da Saúde/estatística & dados numéricos , Classe Social

RESUMO

CONTEXT: The Public Health 3.0 (PH3.0) framework encourages local health departments (LHDs) to address the social determinants of health (SDOHs) that impact health equity. OBJECTIVE: This study sought to understand how often LHDs are working to address SDOH, which SDOHs are most often being addressed, as well as the mix of strategies that have been proposed to address this work. DESIGN: We reviewed recent Community Health Improvement Plans (CHIPs) to analyze the current involvement of LHDs in addressing SDOH. SETTING: CHIPs published from 2020. PARTICIPANTS: Accredited LHDs from across the United States (n = 80). MAIN OUTCOME MEASURES: We developed a qualitative guidebook to characterize CHIP strategies based on the SDOH domain they addressed and the strategic mechanism they proposed. RESULTS: Across our entire sample, CHIPs were roughly 1.5 times more likely to address Health Care Access than Food Insecurity and Access to Healthy Food (65%), Neighborhood Infrastructure (61%), or Affordable Housing (65%), and they were 3 to 4 times more likely to address Health Care Access than Safe Housing (23%), Education Access and Quality (31%), or Economic Stability (24%). Across all major domains, a few concerned policy changes and a handful focused on improving systems or developing the built environment. Most strategies focused on service provision through events or the education of the public and professionals on health-related topics. CONCLUSIONS: The results of this study demonstrate that not all SDOHs are addressed equally by LHDs within their CHIPs. There is significant variation in how SDOHs are addressed along at 2 dimensions: first, in the likelihood that a CHIP addresses the domain and, second, in the mechanism by which each domain is addressed. Practically, the list of strategies we documented from the 80 CHIPs included in our sample may serve as the basis for strategies that other communities may wish to consider when addressing SDOH.

Assuntos

Saúde Pública , Determinantes Sociais da Saúde , Determinantes Sociais da Saúde/estatística & dados numéricos , Humanos , Saúde Pública/métodos , Saúde Pública/estatística & dados numéricos , Saúde Pública/tendências , Governo Local , Estados Unidos

RESUMO

The social determinants of health (SDoH) influence health outcomes based on conditions from birth, growth, living, and age factors. Diabetes is a chronic condition, impacted by race, education, and income, which may lead to serious health consequences. In Hawai'i, approximately 11.2% of adults have been diagnosed with diabetes. The objective of this secondary cross-sectional study is to assess the relationship between the prevalence of diabetes and the social determinants of health among Hawai'i adults who participated in the Behavioral Risk Factor Surveillance System between 2018-2020. The prevalence of diabetes among adults was 11.0% (CI: 10.4-11.5%). Filipino, Japanese and Native Hawaiian adults had the highest prevalence of diabetes at 14.4% (CI: 12.7-16.2%), 14.2% (CI: 12.7-15.7%), and 13.2% (CI: 12.0-14.4%), respectively. Poverty level and education were significantly associated with diabetes status. Within employment categories, the adjusted odds ratio (AOR) for retired and unable to work adults were large at AOR: 1.51 (CI: 1.26-1.81) and AOR: 2.91 (CI: 2.28-3.72), respectively. SDoH can impact the development and management of diabetes. Understanding the role SDoH plays on diabetes status is crucial for promoting health equity, building community capacity, and improving diabetes management.

Assuntos

Diabetes Mellitus , Determinantes Sociais da Saúde , Humanos , Havaí/epidemiologia , Masculino , Determinantes Sociais da Saúde/estatística & dados numéricos , Feminino , Estudos Transversais , Adulto , Pessoa de Meia-Idade , Diabetes Mellitus/epidemiologia , Idoso , Prevalência , Sistema de Vigilância de Fator de Risco Comportamental , Adolescente

RESUMO

Importance: No clear process exists for categorizing social risks in a way that informs effective social risk screening and intervention development. Objective: To investigate social risk profiles and associations of those profiles with clinical outcomes in adults with diabetes using latent profile analysis. Design, Setting, and Participants: For this cross-sectional study, a latent profile analysis was conducted using data for adults with type 2 diabetes collected at 2 primary care clinics in the Southeastern US from 2013 to 2014. Data were analyzed from November to December 2023. Main Outcomes and Measures: Participants completed validated questionnaires for 26 social risk factors within 5 domains of social determinants of health: socioeconomic, neighborhood, education, food, and social and community context. In addition, participants completed questions that assessed psychological risk and behavioral risk. A 3-step latent profile analysis was used to identify different subgroups within the sample. Profiles were then regressed on outcomes of hemoglobin A1c (HbA1c), blood pressure, and quality of life. Results: A total of 615 participants (mean [SD] age, 61.3 [10.9] years; 379 men [61.6%]) were included. Five latent class profiles were identified. The lowest risk group had significantly higher mental health-related quality of life compared with a group with higher neighborhood risk (ß, 1.11; 95% CI, 0.67 to 1.55). The second group had low economic risk but high neighborhood risk and served as the reference group. The third group had high economic and neighborhood risk and had significantly higher blood pressure (ß, 8.08; 95% CI, 2.16 to 14.01) compared with the reference. The fourth group had high psychological and behavioral risks but low socioeconomic and neighborhood risks. This group had significantly higher HbA1c (ß, 0.47; 95% CI, 0.01 to 0.92) and lower mental health-related quality of life (ß, -1.83; 95% CI, -2.41 to -1.24) compared with the reference. The highest risk group indicated high risk in all domains, had significantly higher HbA1c (ß, 1.07; 95% CI, 0.50 to 1.63), and had lower mental health-related quality of life (ß, -2.15; 95% CI, -2.87 to -1.42) compared with the reference. Conclusions and Relevance: These findings suggest that social risk profiles can be identified according to social, psychological, and behavioral risk domains and the health outcome of concern among adults with diabetes. Future work should consider the use of social risk profiles in intervention development and testing.

Assuntos

Diabetes Mellitus Tipo 2 , Qualidade de Vida , Determinantes Sociais da Saúde , Humanos , Diabetes Mellitus Tipo 2/psicologia , Diabetes Mellitus Tipo 2/epidemiologia , Masculino , Feminino , Pessoa de Meia-Idade , Estudos Transversais , Idoso , Fatores de Risco , Qualidade de Vida/psicologia , Determinantes Sociais da Saúde/estatística & dados numéricos , Hemoglobinas Glicadas/análise , Inquéritos e Questionários , Sudeste dos Estados Unidos/epidemiologia , Fatores Socioeconômicos

RESUMO

BACKGROUND: Research is needed to understand the impact of social determinants of health on health literacy throughout the life course. This study examined how racial composition of multiple past and current social environments was related to adults' health literacy. METHODS: In this study, 546 adult patients at a primary care clinic in St. Louis, Missouri, completed a self-administered written questionnaire that assessed demographic characteristics and a verbally administered component that assessed health literacy with the Rapid Estimate of Adult Literacy in Medicine - Revised (REALM-R) and Newest Vital Sign (NVS), and self-reported racial composition of six past and four current social environments. Multilevel logistic regression models were built to examine the relationships between racial composition of past and current social environments and health literacy. RESULTS: Most participants identified as Black or multiracial (61%), had a high school diploma or less (54%), and household income <$20,000 (72%). About 56% had adequate health literacy based on REALM-R and 38% based on NVS. In regression models, participants with multiple past white environments (e.g., locations/conditions in which most of the people who live, go to school, work, and have leisure time are White) and (vs. 0 or 1) were more likely to have adequate health literacy based on REALM-R (adjusted odds ratio [aOR] = 1.79; 95% confidence interval [CI]: 1.04-3.07). Similarly, participants who had multiple past white social environments were more likely (aOR = 1.94, 95% CI: 1.15-3.27) to have adequate health literacy based on NVS than those who had not. The racial composition of current social environments was not significantly associated with health literacy in either model. CONCLUSIONS: Racial composition of past, but not current, educational and residential social environments was significantly associated with adult health literacy. The results highlight the importance of examining the impact of social determinants over the life course on health literacy. The findings suggest that policies ensuring equitable access to educational resources in school and community contexts is critical to improving equitable health literacy. [HLRP: Health Literacy Research and Practice. 2024;8(3):e130-e139.].

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PLAIN LANGUAGE SUMMARY: We studied how the racial make-up of past and current places where people live, work, and go to school were related to their health literacy as adults. We found that the racial make-up of past places, but not current places, was related to health literacy. Our results show the need to study the impact of childhood places on health literacy.

Assuntos

Letramento em Saúde , Meio Social , Humanos , Letramento em Saúde/estatística & dados numéricos , Masculino , Feminino , Pessoa de Meia-Idade , Adulto , Inquéritos e Questionários , Missouri , Idoso , Determinantes Sociais da Saúde/estatística & dados numéricos , Grupos Raciais/estatística & dados numéricos , Grupos Raciais/psicologia

RESUMO

BACKGROUND: Gestational diabetes mellitus (GDM) is a common pregnancy complication with long-term health consequences for mothers and their children. The escalating trends of GDM coupled with the growing prevalence of maternal obesity, a significant GDM risk factor projected to approach nearly 60% by 2030 in Kansas, has emerged as a pressing public health issue. METHODS: The aim of this study was to compare GDM and maternal obesity trends in rural and urban areas and investigate maternal demographic characteristics influencing the risk of GDM development over a 15-year period. Trend analyses and a binary logistic regression were employed utilizing 2005 to 2019 de-identified birth record vital statistics from the Kansas Department of Health and Environment (N = 589,605). RESULTS: Over the cumulative 15-year period, a higher prevalence of GDM was observed across age, race/ethnicity, education, and insurance source. Throughout this period, there was an increasing trend in both GDM and obese pre-pregnancy BMI age-adjusted prevalence, with noticeable rural-urban disparities. From 2005 to 2019, women, including Asians (OR: 2.73, 95% CI 2.58%-2.88%), American Indian or Alaskan Natives (OR: 1.58, 95%, CI 1.44-1.73%), Hispanics (OR: 1.42, 95% CI 1.37%-1.48%), women residing in rural areas (OR: 1.09, 95%, CI 1.06-1.12%), with advanced maternal age (35-39 years, OR: 4.83 95% CI 4.47%-5.22%; ≥40 years, OR: 6.36 95%, CI 5.80-6.98%), with lower educational status (less than high school, OR: 1.15, 95% CI 1.10%-1.20%; high school graduate, OR: 1.10, 95% CI 1.06%-1.13%), Medicaid users (OR: 1.10, 95% CI 1.06%-1.13%), or with an overweight (OR: 1.78, 95% CI 1.72%-1.84%) or obese (OR: 3.61, 95% CI 3.50%-3.72%) pre-pregnancy BMI were found to be at an increased risk of developing GDM. CONCLUSIONS: There are persistent rural-urban and racial/ethnic disparities present from 2005 to 2019 among pregnant women in Kansas with or at-risk of GDM. There are several socioeconomic factors that contribute to these health disparities affecting GDM development. These findings, alongside with prominent rising maternal obesity trends, highlight the need to expand GDM services in a predominantly rural state, and implement culturally-responsive interventions for at-risk women.

Assuntos

Diabetes Gestacional , População Rural , Determinantes Sociais da Saúde , População Urbana , Adolescente , Adulto , Feminino , Humanos , Gravidez , Adulto Jovem , Diabetes Gestacional/epidemiologia , Etnicidade/estatística & dados numéricos , Kansas/epidemiologia , Obesidade Materna/epidemiologia , Obesidade Materna/complicações , Prevalência , Fatores de Risco , População Rural/estatística & dados numéricos , Determinantes Sociais da Saúde/estatística & dados numéricos , População Urbana/estatística & dados numéricos , Grupos Raciais/estatística & dados numéricos

RESUMO

Importance: Current research in epigenetic age acceleration (EAA) is limited to non-Hispanic White individuals. It is imperative to improve inclusivity by considering racial and ethnic minorities in EAA research. Objective: To compare non-Hispanic Black with non-Hispanic White survivors of childhood cancer by examining the associations of EAA with cancer treatment exposures, potential racial and ethnic disparity in EAA, and mediating roles of social determinants of health (SDOH). Design, Setting, and Participants: In this cross-sectional study, participants were from the St Jude Lifetime Cohort, which was initiated in 2007 with ongoing follow-up. Eligible participants included non-Hispanic Black and non-Hispanic White survivors of childhood cancer treated at St Jude Children's Research Hospital between 1962 and 2012 who had DNA methylation data. Data analysis was conducted from February 2023 to May 2024. Exposure: Three treatment exposures for childhood cancer (chest radiotherapy, alkylating agents, and epipodophyllotoxin). Main Outcomes and Measures: DNA methylation was generated from peripheral blood mononuclear cell-derived DNA. EAA was calculated as residuals from regressing Levine or Horvath epigenetic age on chronological age. SDOH included educational attainment, annual personal income, and the socioeconomic area deprivation index (ADI). General linear models evaluated cross-sectional associations of EAA with race and ethnicity (non-Hispanic Black and non-Hispanic White) and/or SDOH, adjusting for sex, body mass index, smoking, and cancer treatments. Adjusted least square means (ALSM) of EAA were calculated for group comparisons. Mediation analysis treated SDOH as mediators with average causal mediation effect (ACME) calculated for the association of EAA with race and ethnicity. Results: Among a total of 1706 survivors including 230 non-Hispanic Black survivors (median [IQR] age at diagnosis, 9.5 [4.3-14.3] years; 103 male [44.8%] and 127 female [55.2%]) and 1476 non-Hispanic White survivors (median [IQR] age at diagnosis, 9.3 [3.9-14.6] years; 766 male [51.9%] and 710 female [48.1%]), EAA was significantly greater among non-Hispanic Black survivors (ALSM = 1.41; 95% CI, 0.66 to 2.16) than non-Hispanic White survivors (ALSM = 0.47; 95% CI, 0.12 to 0.81). Among non-Hispanic Black survivors, EAA was significantly increased among those exposed to chest radiotherapy (ALSM = 2.82; 95% CI, 1.37 to 4.26) vs those unexposed (ALSM = 0.46; 95% CI, -0.60 to 1.51), among those exposed to alkylating agents (ALSM = 2.33; 95% CI, 1.21 to 3.45) vs those unexposed (ALSM = 0.95; 95% CI, -0.38 to 2.27), and among those exposed to epipodophyllotoxins (ALSM = 2.83; 95% CI, 1.27 to 4.40) vs those unexposed (ALSM = 0.44; 95% CI, -0.52 to 1.40). The association of EAA with epipodophyllotoxins differed by race and ethnicity (ß for non-Hispanic Black survivors, 2.39 years; 95% CI, 0.74 to 4.04 years; ß for non-Hispanic White survivors, 0.68; 95% CI, 0.05 to 1.31 years) and the difference was significant (1.77 years; 95% CI, 0.01 to 3.53 years; P for interaction = .049). Racial and ethnic disparities in EAA were mediated by educational attainment (

Assuntos

Sobreviventes de Câncer , Epigênese Genética , Fatores Socioeconômicos , Humanos , Feminino , Masculino , Estudos Transversais , Sobreviventes de Câncer/estatística & dados numéricos , Criança , Neoplasias/genética , Neoplasias/etnologia , Adolescente , População Branca/estatística & dados numéricos , População Branca/genética , Negro ou Afro-Americano/estatística & dados numéricos , Negro ou Afro-Americano/genética , Metilação de DNA , Adulto , Etnicidade/estatística & dados numéricos , Determinantes Sociais da Saúde/estatística & dados numéricos

RESUMO

INTRODUCTION: Socioecological determinants of health (SEDOHs) influence disparities in surgical outcomes. However, SEDOHs are challenging to measure, limiting our ability to address disparities. Using a validated survey (SEDOH-88), we assessed SEDOHs in three rural communities in Alabama. We hypothesized that SEDOHs would vary significantly across sites but measuring them would be acceptable and feasible. MATERIALS AND METHODS: This was a retrospective review of a prospectively maintained database involving surgical patients who completed the SEDOH-88 and a secondary survey assessing it's acceptability or feasibility from August 2021 to July 2023. Included patients underwent endoscopic, minimally invasive, or open surgery at three rural hospitals: Demopolis (DM), Alexander City (AC), and Greenville (GV). RESULTS: The 107 participants comprised 48 (44.9%) from DM, 27 (25.2%) from AC, and 32 (29.9%) from GV, respectively. The median age was 64 y, and 65.6% were female. When comparing DM to AC and GV by individual factors, DM had the largest Black population (78.7 versus 22.2 versus 48.3%, P < 0.001) and more often required help reading hospital materials (20.5 versus 3.7 versus 10.3%, P = 0.007). When comparing DM to AC and GV by structural and environmental factors, DM had more Medicaid enrollees (27.3 versus 3.7 versus 6.9%, P = 0.033) and lacked fresh produce (18.2 versus 25.9 versus 39.3%, P = 0.033) and internet access (63.6 versus 100.0 versus 86.2%, P < 0.001). The SEDOH-88 had an overall 90.9% positive acceptability and feasibility score. CONCLUSIONS: SEDOHs varied significantly across rural communities regarding individual (race or health literacy), structural (insurance), and environmental-level factors (nutritious food or internet access). The high acceptability and feasibility of the SEDOH-88 shows it's potential utility in identifying targets for future disparity-reducing interventions.

Assuntos

População Rural , Determinantes Sociais da Saúde , Humanos , Alabama , Feminino , Masculino , Pessoa de Meia-Idade , Idoso , Estudos Retrospectivos , População Rural/estatística & dados numéricos , Determinantes Sociais da Saúde/estatística & dados numéricos , Adulto , Disparidades em Assistência à Saúde/estatística & dados numéricos , Inquéritos e Questionários , Estudos de Viabilidade

RESUMO

OBJECTIVES: Social determinants of health (SDOH) are nonmedical factors that influence health outcomes. Children with chronic illnesses living with socioeconomic risk factors have higher rates of unfavorable health outcomes. Our study aimed to assess the association between area deprivation indices (ADI), as a proxy for SDOH, and outcomes in pediatric patients with inflammatory bowel disease (IBD). METHODS: A retrospective chart review was conducted on 134 pediatric patients with IBD, ages 0-21 years. Explanatory variables were the patient's ADI and demographics. Outcomes were assessed from time of diagnosis over a 1-year follow-up period. The primary outcome was the ratio of missed to completed appointments; secondary outcomes were the numbers of IBD-related emergency department (ED) visits and IBD-related hospitalizations. RESULTS: Race/ethnicity was significantly associated with ADI (p < 0.001). In a multivariable regression model, no variables were associated with ratio of missed to completed appointments. Notably, ADI was not significantly associated with the ratio of missed to completed appointments. In a Poisson regression, Black (non-Hispanic) and Hispanic race/ethnicity, Medicaid insurance, female gender, and lower age were significantly associated with more IBD-related ED visits; ADI was not. In a similar model, Black (non-Hispanic) race, Medicaid insurance status, and lower age were significantly associated with more IBD-related hospitalizations; ADI was not. CONCLUSIONS: In our cohort, ADI was not significantly associated with the ratio of missed to completed appointments, IBD-related ED visits, and IBD-related hospitalizations; however, race/ethnicity, age at diagnosis, insurance, and gender were associated with these outcomes.

Assuntos

Doenças Inflamatórias Intestinais , Determinantes Sociais da Saúde , Humanos , Feminino , Masculino , Estudos Retrospectivos , Adolescente , Criança , Doenças Inflamatórias Intestinais/terapia , Doenças Inflamatórias Intestinais/etnologia , Adulto Jovem , Pré-Escolar , Lactente , Determinantes Sociais da Saúde/estatística & dados numéricos , Estados Unidos/epidemiologia , Hospitalização/estatística & dados numéricos , Serviço Hospitalar de Emergência/estatística & dados numéricos , Recém-Nascido , Fatores Socioeconômicos

RESUMO

BACKGROUND: Understanding the impact of social determinants of health (SDOH) on CA, including access to care pre-cardiac arrest (CA) can improve outcomes. Large databases, such as Epic Cosmos, can help identify trends in patient demographics and SDOH that identify gaps in care. The purpose of this study was to determine the incidence of CA and subsequent mortality in a large national database across patient demographics and social determinants and characterize pre-arrest care patterns. METHODS: This was a retrospective cohort study using a large national deidentified electronic health database (Epic Cosmos) with 227 million patients. Inclusion criteria was ED encounter for CA (ICD-10-CM: I46). Patient demographics and social determinants included age, sex, race, ethnicity, social vulnerability index (SVI, a composite measure with greater SVI representing more vulnerability). The primary outcome was difference in CA incidence between groups, reported as odds ratios (ORs). The secondary outcomes were 1) incidence of pre-arrest care within 30 days and 2) post-arrest mortality at 7,30, and 180 days. Statistical analysis was performed using Chi-squared analysis (unadjusted OR) and aggregated logistic procedure (adjusted OR). RESULTS: There were 201,846 ED visits for CA between April 20, 2020, and April 19, 2023 (0.11% incidence). For all ages, males had a higher incidence of CA (OR 1.76, p < 0.0001). Black, Native Hawaiian or Pacific Islander, and American Indian or Alaska Native had a higher OR of CA while Asian patients were less likely than White patients (adjusted OR 1.85, 1.44,1.51, and 0.81 respectively, all p < 0.0001). Hispanic/Latino patients had a lower OR of CA (adjusted OR 0.72, p < 0.0001). CA was more common in the highest SVI quartile compared to the lowest (adjusted OR 1.71, p < 0.0001). Significant heterogeneities were identified in pre-arrest care across patient demographics and social determinants, where ED visits were more common than office visits among male patients, patients in the highest SVI, Hispanic/Latino, and minority patients, except for Asian patients. Post-arrest mortality after 30 days was highest in females, Black patients, and patients in the highest SVI. CONCLUSIONS: SDOH have a significant impact on the risk of CA, pre-arrest care patterns, and post-arrest mortality. Determining the impact that SDOH have on the CA care continuum provides can provide actionable targets to prevent CA and subsequent mortality.

Assuntos

Determinantes Sociais da Saúde , Humanos , Masculino , Feminino , Estudos Retrospectivos , Determinantes Sociais da Saúde/estatística & dados numéricos , Pessoa de Meia-Idade , Idoso , Estados Unidos/epidemiologia , Parada Cardíaca/terapia , Parada Cardíaca/mortalidade , Parada Cardíaca/epidemiologia , Incidência , Adulto , Bases de Dados Factuais , Reanimação Cardiopulmonar/estatística & dados numéricos

RESUMO

Communities are increasingly interested in primary prevention efforts to reduce health inequities. However, few communities can access local data on social determinants of health and many do not have the skills or training to interpret data to inform decision making on appropriate strategies that impact social determinants of health. A population-based youth health survey administered to middle and high school students, such as exists in most states in the United States, can assess health behaviors and risk and protective factors. The schools and school districts that participate are provided with reports of results and data interpretation resources that support their understanding of risk and protective factors to inform local decision making and action. Other states can similarly provide local data and resources on risk and protective factors to help communities collaborate on primary prevention efforts that achieve health equity.

Assuntos

Tomada de Decisões , Prevenção Primária , Instituições Acadêmicas , Humanos , Colorado , Instituições Acadêmicas/estatística & dados numéricos , Instituições Acadêmicas/organização & administração , Prevenção Primária/métodos , Prevenção Primária/estatística & dados numéricos , Adolescente , Determinantes Sociais da Saúde/estatística & dados numéricos

RESUMO

This Medical News story discusses the multiple factors contributing to the resurgence of syphilis in the US.

Assuntos

Surtos de Doenças , Desigualdades de Saúde , Determinantes Sociais da Saúde , Sífilis , Feminino , Humanos , Masculino , Antibacterianos , Surtos de Doenças/estatística & dados numéricos , Saúde Pública , Determinantes Sociais da Saúde/etnologia , Determinantes Sociais da Saúde/estatística & dados numéricos , Sindemia , Sífilis/diagnóstico , Sífilis/epidemiologia , Sífilis/etnologia , Sífilis/terapia , Sífilis Congênita/diagnóstico , Sífilis Congênita/epidemiologia , Sífilis Congênita/prevenção & controle , Treponema pallidum , Estados Unidos/epidemiologia , Indígena Americano ou Nativo do Alasca/estatística & dados numéricos , Negro ou Afro-Americano/estatística & dados numéricos , Havaiano Nativo ou Outro Ilhéu do Pacífico/estatística & dados numéricos , Grupos Raciais/estatística & dados numéricos , Hispânico ou Latino/estatística & dados numéricos , Brancos/estatística & dados numéricos , Asiático/estatística & dados numéricos

RESUMO

Importance: Several clinical practice guidelines advise race- and ethnicity-based screening for youth-onset type 2 diabetes (T2D) due to a higher prevalence among American Indian and Alaska Native, Asian, Black, and Hispanic youths compared with White youths. However, rather than a biological risk, this disparity likely reflects the inequitable distribution of adverse social determinants of health (SDOH), a product of interpersonal and structural racism. Objective: To evaluate prediabetes prevalence by presence or absence of adverse SDOH in adolescents eligible for T2D screening based on weight status. Design, Setting, and Participants: This cross-sectional study and analysis used data from the 2011 to 2018 cycles of the National Health and Nutrition Examination Survey. Data were analyzed from June 1, 2023, to April 5, 2024. Participants included youths aged 12 to 18 years with body mass index (BMI) at or above the 85th percentile without known diabetes. Main Outcomes and Measures: The main outcome consisted of an elevated hemoglobin A1c (HbA1c) level greater than or equal to 5.7% (prediabetes or undiagnosed presumed T2D). Independent variables included race, ethnicity, and adverse SDOH (food insecurity, nonprivate health insurance, and household income <130% of federal poverty level). Survey-weighted logistic regression was used to adjust for confounders of age, sex, and BMI z score and to determine adjusted marginal prediabetes prevalence by race, ethnicity, and adverse SDOH. Results: The sample included 1563 individuals representing 10 178 400 US youths aged 12 to 18 years (mean age, 15.5 [95% CI, 15.3-15.6] years; 50.5% [95% CI, 47.1%-53.9%] female; Asian, 3.0% [95% CI, 2.2%-3.9%]; Black, 14.9% [95% CI, 11.6%-19.1%]; Mexican American, 18.8% [95% CI, 15.4%-22.9%]; Other Hispanic, 8.1% [95% CI, 6.5%-10.1%]; White, 49.1% [95% CI, 43.2%-55.0%]; and >1 or other race, 6.1% [95% CI, 4.6%-8.0%]). Food insecurity (4.1% [95% CI, 0.7%-7.5%]), public insurance (5.3% [95% CI, 1.6%-9.1%]), and low income (5.7% [95% CI, 3.0%-8.3%]) were each independently associated with higher prediabetes prevalence after adjustment for race, ethnicity, and BMI z score. While Asian, Black, and Hispanic youths had higher prediabetes prevalence overall, increasing number of adverse SDOH was associated with higher prevalence among White youths (8.3% [95% CI, 4.9%-11.8%] for 3 vs 0.6% [95% CI, -0.7% to 2.0%] for 0 adverse SDOH). Conclusions and Relevance: Adverse SDOH were associated with higher prediabetes prevalence, across and within racial and ethnic categories. Consideration of adverse SDOH may offer a more actionable alternative to race- and ethnicity-based screening to evaluate T2D risk in youth.

Assuntos

Diabetes Mellitus Tipo 2 , Estado Pré-Diabético , Determinantes Sociais da Saúde , Adolescente , Criança , Feminino , Humanos , Masculino , Índice de Massa Corporal , Estudos Transversais , Diabetes Mellitus Tipo 2/epidemiologia , Diabetes Mellitus Tipo 2/etnologia , Etnicidade/estatística & dados numéricos , Insegurança Alimentar , Hemoglobinas Glicadas/análise , Inquéritos Nutricionais , Estado Pré-Diabético/epidemiologia , Estado Pré-Diabético/etnologia , Prevalência , Determinantes Sociais da Saúde/estatística & dados numéricos , Estados Unidos/epidemiologia , Indígena Americano ou Nativo do Alasca , Asiático , Negro ou Afro-Americano , Hispânico ou Latino , Brancos

RESUMO

Aim: We aimed to investigate the association between social determinants of health and chronic opioid therapy.Materials & methods: We conducted a retrospective analysis of electronic health records from five family medicine and internal medicine clinics in Oregon in 2020 and 2021. Our outcome variable was whether a patient was receiving chronic opioid therapy for chronic non-cancer pain. Our variables of interest included financial difficulty, insurance types, transportation barriers, currently married or living with a partner and organizations participation.Results: Our results showed that patients with financial difficulty were more likely to have chronic opioid therapy (OR: 2.69; 95% CI: 1.14, 6.33).Conclusion: Addressing patients' social determinants of health disadvantages is important for optimizing pain management.

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What is this article about? Addressing the opioid crisis is a national priority in the USA. Our objective was to focus on a broad set of social determinants of health (SDOH) and examine whether patients with SDOH disadvantages were more likely to receive chronic opioid therapy for chronic non-cancer pain. Current literature has not assessed some important SDOH characteristics. We aimed to address this limitation by using electronic health records that incorporated SDOH data.What were the results? Patients with financial difficulty in this study had approximately two-times higher odds of receiving chronic opioid therapy.What do the results of the study mean? Our study has important clinical and policy implications. Clinicians should screen for patient SDOH disadvantages and provide support as an integral part of patient-centered pain management. Payers and policymakers should also consider expanding coverage and reimbursement for multimodal treatments for pain.

Assuntos

Analgésicos Opioides , Dor Crônica , Determinantes Sociais da Saúde , Humanos , Dor Crônica/tratamento farmacológico , Analgésicos Opioides/administração & dosagem , Analgésicos Opioides/uso terapêutico , Masculino , Feminino , Pessoa de Meia-Idade , Estudos Retrospectivos , Determinantes Sociais da Saúde/estatística & dados numéricos , Idoso , Adulto , Manejo da Dor/estatística & dados numéricos , Manejo da Dor/métodos , Oregon/epidemiologia

RESUMO

CONTEXT: Pennsylvanians' health is influenced by numerous social determinants of health (SDOH). Integrating SDOH data into electronic health records (EHRs) is critical to identifying health disparities, informing public health policies, and devising interventions. Nevertheless, challenges remain in its implementation within clinical settings. In 2018, the Pennsylvania Department of Health (PADOH) received the Centers for Disease Control and Prevention's DP18-1815 "Improving the Health of Americans Through Prevention and Management of Diabetes and Heart Disease and Stroke" grant to strengthen SDOH data integration in Pennsylvania practices. IMPLEMENTATION: Quality Insights was contracted by PADOH to provide training tailored to each practice's readiness, an International Classification of Diseases, Tenth Revision (ICD-10) guide for SDOH, Continuing Medical Education on SDOH topics, and introduced the PRAPARE toolkit to streamline SDOH data integration and address disparities. Dissemination efforts included a podcast highlighting success stories and lessons learned from practices. From 2019 to 2022, Quality Insights and the University of Pittsburgh Evaluation Institute for Public Health (Pitt evaluation team) executed a mixed-methods evaluation. FINDINGS: During 2019-2022, Quality Insights supported 100 Pennsylvania practices in integrating SDOH data into EHR systems. Before COVID-19, 82.8% actively collected SDOH data, predominantly using PRAPARE tool (62.7%) and SDOH ICD-10 codes (80.4%). Amidst COVID-19, these statistics shifted to 65.1%, 45.2%, and 42.7%, respectively. Notably, the pandemic highlighted the importance of SDOH assessment and catalyzed some practices' utilization of SDOH data. Progress was evident among practices, with additional contribution to other DP18-1815 objectives. The main challenge was the variable understanding, utilization, and capability of handling SDOH data across practices. Effective strategies involved adaptable EHR systems, persistent efforts by Quality Insights, and the presence of change champions within practices. DISCUSSION: The COVID-19 pandemic strained staffing in many practices, impeding SDOH data integration into EHRs. Addressing the diverse understanding and use of SDOH data requires standardized training and procedures. Customized support and sustained engagement by facilitating organizations are paramount in ensuring practices' efficient SDOH data collection and integration.

Assuntos

Determinantes Sociais da Saúde , Humanos , Determinantes Sociais da Saúde/estatística & dados numéricos , Pennsylvania , Registros Eletrônicos de Saúde/estatística & dados numéricos , COVID-19/epidemiologia , COVID-19/prevenção & controle