Sociodemographic Factors are Associated with Care Delivery and Outcomes in Pediatric Severe Sepsis.

IMPORTANCE: Sepsis is a leading cause of morbidity and mortality in the United States and disparate outcomes exist between racial/ethnic groups despite improvements in sepsis management. These observed differences are often related to social determinants of health (SDoH). Little is known about the role of SDoH on outcomes in pediatric sepsis. OBJECTIVE: This study examined the differences in care delivery and outcomes in children with severe sepsis based on race/ethnicity and neighborhood context (as measured by the social vulnerability index). DESIGN SETTING AND PARTICIPANTS: This retrospective, cross-sectional study was completed in a quaternary care children's hospital. Patients 18 years old or younger who were admitted between May 1, 2018, and February 28, 2022, met the improving pediatric sepsis outcomes (IPSO) collaborative definition for severe sepsis. Composite measures of social vulnerability, care delivery, and clinical outcomes were stratified by race/ethnicity. MAIN OUTCOMES AND MEASURES: The primary outcome of interest was admission to the PICU. Secondary outcomes were sepsis recognition and early goal-directed therapy (EGDT). RESULTS: A total of 967 children met the criteria for IPSO-defined severe sepsis, of whom 53.4% were White/non-Hispanic. Nearly half of the cohort (48.7%) required PICU admission. There was no difference in illness severity at PICU admission by race (1.01 vs. 1.1, p = 0.18). Non-White race/Hispanic ethnicity was independently associated with PICU admission (odds ratio [OR] 1.35 [1.01-1.8], p = 0.04). Although social vulnerability was not independently associated with PICU admission (OR 0.95 [0.59-1.53], p = 0.83), non-White children were significantly more likely to reside in vulnerable neighborhoods (0.66 vs. 0.38, p < 0.001). Non-White race was associated with lower sepsis recognition (87.8% vs. 93.6%, p = 0.002) and less EGDT compliance (35.7% vs. 42.8%, p = 0.024). CONCLUSIONS AND RELEVANCE: Non-White race/ethnicity was independently associated with PICU admission. Differences in care delivery were also identified. Prospective studies are needed to further investigate these findings.

The association between food access and frailty among older adults with gastrointestinal malignancies-The CARE Registry.

BACKGROUND: Food access is associated with higher gastrointestinal (GI) cancer mortality; however, its association with frailty, which is a predictor of premature mortality among older adults with cancer, is less understood. METHODS: The authors included 880 adults aged 60 years and older who were recently diagnosed with GI cancers and were undergoing self-reported geriatric assessment at their first prechemotherapy visit to the University of Alabama at Birmingham oncology clinic. Food access was measured using the 2019 US Department of Agriculture Economic Research Service designation low-income, low-access (LILA), classifying census tracts based on income and/or access to food stores at various distances. The primary outcome was frailty on the CARE (Cancer and Aging Resilience Evaluation) Frailty Index, a composite of the proportion of impaired geriatric assessment measures. The authors examined the LILA-frailty association with modified Poisson regression accounting for census-tract clustering. RESULTS: The median patient age was 69 years, 58.1% were men, 22.5% were non-Hispanic Black, 29.2% had colorectal cancer, 28.0% had pancreatic cancer, 70.1% presented with stage III/IV disease, and 34.9% were frail. A higher proportion in LILA areas were non-Hispanic Black (44.1% vs. 10.8%; p < .001) and had less education (high school or less: 48.1% vs. 37.9%; p = .020). Adjusting for age, race and ethnicity, sex, cancer type and stage, and education, an LILA designation was associated with 58% greater odds of worsening frailty status (95% confidence interval, 1.18-2.12). An analysis of LILA subcategories revealed that associations were maintained across all LILA measures. CONCLUSIONS: Poor food access was associated with a greater risk of frailty among newly diagnosed older adults with GI cancers before they received systemic treatment. Intervening on local food access, particularly in LILA areas, may be a target for improving rates of frailty and promoting health equity in this population.

Examining the Built Environment for Healthy Living via Virtual Street Audits.

During the fall 2019 and spring 2020 semesters, 156 MPH students enrolled in the Integrative Learning Experience at the University of Alabama at Birmingham School of Public Health explored concepts of the built environment and health by auditing 2500 street segments in 4 urban neighborhoods in Birmingham, Alabama. In teams of 4 to 5, in-class and online students worked collaboratively to assess 63 built environment variables related to transportation, land use, advertisement, and neighborhood physical disorder. This type of "community assessment" is the first stage of the Evidence-based Public Health Framework and consistent with the applied nature of an MPH degree. Authors conducted secondary data analysis of final team assignments to demonstrate how students translated observations and ratings into practical recommendations for neighborhood improvements to promote physical activity. Students recommended improvements in neighborhood infrastructure and services, specifically: creating exercise space, providing outdoor exercise equipment, improving neighborhood safety, and cultivating a culture of health. The Integrative Learning Experience course encouraged students to use their knowledge and skills to prioritize recommendations to improve neighborhood conditions. Variable ratings and observations increased student awareness of the built environment and its potential to impact individual and community health. Moreover, the project helped students make connections between proximal outcomes, such as improving neighborhood walkability, and distal outcomes, such as improved health outcomes among residents. Finally, this project modeled for students the use of evidence-based strategies for making data-informed decisions, which are essential skills for new and emerging public health professionals.

Area based stratified random sampling using geospatial technology in a community-based survey.

BACKGROUND: Most studies among Hispanics have focused on individual risk factors of obesity, with less attention on interpersonal, community and environmental determinants. Conducting community based surveys to study these determinants must ensure representativeness of disparate populations. We describe the use of a novel Geographic Information System (GIS)-based population based sampling to minimize selection bias in a rural community based study. METHODS: We conducted a community based survey to collect and examine social determinants of health and their association with obesity prevalence among a sample of Hispanics and non-Hispanic whites living in a rural community in the Southeastern United States. To ensure a balanced sample of both ethnic groups, we designed an area stratified random sampling procedure involving three stages: (1) division of the sampling area into non-overlapping strata based on Hispanic household proportion using GIS software; (2) random selection of the designated number of Census blocks from each stratum; and (3) random selection of the designated number of housing units (i.e., survey participants) from each Census block. RESULTS: The proposed sample included 109 Hispanic and 107 non-Hispanic participants to be recruited from 44 Census blocks. The final sample included 106 Hispanic and 111 non-Hispanic participants. The proportion of Hispanic surveys completed per strata matched our proposed distribution: 7% for strata 1, 30% for strata 2, 58% for strata 3 and 83% for strata 4. CONCLUSION: Utilizing a standardized area based randomized sampling approach allowed us to successfully recruit an ethnically balanced sample while conducting door to door surveys in a rural, community based study. The integration of area based randomized sampling using tools such as GIS in future community-based research should be considered, particularly when trying to reach disparate populations.

Life-Space Predicts Health Care Utilization in Community-Dwelling Older Adults.

OBJECTIVE: To determine whether decline in life-space mobility predicts increased health care utilization among community-dwelling older adults. METHOD: Health care utilization (number of emergency department [ED] visits and hospitalizations) was self-reported during monthly interviews among 419 community-dwelling African American and non-Hispanic White adults aged 75 years and older in The University of Alabama at Birmingham (UAB) Study of Aging II. Life-space was measured using the UAB Life-Space Assessment. Generalized estimating equations were used to examine associations of life-space at the beginning of each interval with health care utilization over the 1-month interval. RESULTS: Overall, 400 participants were followed for 36 months. A 10-point decrease in life-space was associated with 14% increased odds of an ED visit and/or hospitalization over the next month, adjusting for demographics, transportation difficulty, comorbidity, and having a doctor visit in the last month. DISCUSSION: Life-space is a practical alternative in predicting future health care utilization to performance-based measures, which can be difficult to incorporate into clinical or public health practice.

Reach of Effective, Nationally-Available, Low-Cost, Nonprofit Weight Loss Program in Medically Underserved Areas (MUAs).

Obesity rates are higher for ethnic minority, low-income, and rural communities. Programs are needed to support these communities with weight management. We determined the reach of a low-cost, nationally-available weight loss program in Health Resources and Services Administration medically underserved areas (MUAs) and described the demographics of the communities with program locations. This is a cross-sectional analysis of Take Off Pounds Sensibly (TOPS) chapter locations. Geographic information systems technology was used to combine information about TOPS chapter locations, the geographic boundaries of MUAs, and socioeconomic data from the Decennial 2010 Census. TOPS is available in 30 % of MUAs. The typical TOPS chapter is in a Census Tract that is predominantly white, urban, with a median annual income between $25,000 and $50,000. However, there are TOPS chapters in Census Tracts that can be classified as predominantly black or predominantly Hispanic; predominantly rural; and as low or high income. TOPS provides weight management services in MUAs and across many types of communities. TOPS can help treat obesity in the medically underserved. Future research should determine the differential effectiveness among chapters in different types of communities.