Disparities in Patient Family Social Determinants of Health in a Large Urban Pediatric Health System.

INTRODUCTION: This analysis sought to identify disparities in social determinants of health (SDOH) outcomes at a Texas pediatric hospital. METHODS: This retrospective study used electronic health records of pediatric patients families surveyed August -December 2022. Outcomes for health literacy, social support, food, transportation, energy, digital, and housing insecurity, and tobacco exposure were analyzed across demographic categories. RESULTS: Among 15,294 respondents to the survey (mean child age, 8.73 years; 43.68% Hispanic, 29.73% non-Hispanic White, 18.27% non-Hispanic Black, 6.79% other race/ethnicity; 53.95% male), 50.25% of respondents reported at least one SDOH, whereas 23.39% reported two or more SDOH. The most prevalent SDOH was lack of social support (3,456, 23.91%). Hispanic, non-Hispanic Black, and other race/ethnicity respondents, non-English speakers, and public insurance users had higher odds of reporting almost all SDOH in logistic regression models adjusted for age, race/ethnicity, language, gender, and insurance type. DISCUSSION: Race/ethnicity, language, and insurance type disparities were identified for all SDOH.

Prevalence of the metabolic syndrome by household food insecurity status in the United States adolescent population, 2001-2020: a cross-sectional study.

BACKGROUND: Household food insecurity (FI) is a modifiable social determinant of health linked to chronic health outcomes. Little is known, however, about the prevalence of metabolic syndrome (MetS) in pediatric population-based studies by household FI status. OBJECTIVES: The objective of the study was to estimate the prevalence of the MetS by household FI status over the past 2 decades. METHODS: This cross-sectional study used data from the 2001-2020 National Health and Nutrition Examination Survey (NHANES). Participants were nonpregnant adolescents ages 12- 18 y in United States. The prevalence of MetS [elevated waist circumference and >2 of the following risk factors: elevated blood pressure, and fasting glucose, triglyceride, and/or low high-density lipoprotein (HDL) cholesterol concentrations] by FI status was evaluated using chi-square and logistic regression analyses. RESULTS: The estimated prevalence of MetS was 2.66% [95% confidence interval (CI): 2.28%, 3.09%] in the final analytical sample (unweighted N = 12,932). A total of 3.39% (95% CI: 2.53%, 4.53%) of adolescents from FI households had MetS compared to 2.48% (95% CI: 2.11%, 2.9%) among adolescents with no household FI. Hispanic adolescents had the highest prevalence of MetS (3.73%, 95% CI: 3.05, 4.56) compared with adolescents who identified as non-Hispanic White (2.78%, 95% CI: 2.25, 3.43), non-Hispanic Black (1.58%, 95% CI: 1.19, 2.10). Adolescents with household FI (23.20%) were more likely to have MetS [odds ratio (OR): 1.38; 95% CI: 1.02, 1.88; I=0.039) compared with adolescents with no household FI, but in fully adjusted models this was not significant (OR: 1.13; 95% CI: 0.75, 1.72). CONCLUSIONS: Using the most current NHANES data, the estimated prevalence of MetS in adolescents in United States was slightly higher among those from FI households. However, after adjusting for potential confounders, the relationship between household FI and MetS was nonsignificant, highlighting the complexity of factors contributing to MetS in this population. Hispanic adolescents share a disproportionate burden of MetS compared with their non-Hispanic counterparts.

Pediatric Telehealth Expansion in Response to COVID-19.

Introduction: Telehealth utilization has been steadily increasing for the past two decades and has been recognized for its ability to access rural and underserved populations. The advent of COVID-19 in March 2020 limited the feasibility of in-person healthcare visits which in turn increased telehealth demand and use. However, the long-term impacts of COVID-19 on the telehealth sector of the healthcare industry, and particularly on pediatric healthcare volume demand and subsequent expansion, are yet to be determined. Objective and Methods: To understand the impact of COVID-19 on telehealth utilization, volume demand, and expansion in one large pediatric healthcare system serving greater Dallas-Fort Worth, Texas, data on telehealth clinic visits by month, pre-COVID and post/current-COVID were compared. A quasi-experimental pretest-posttest design analysis compared telehealth visit counts from 54 ambulatory pediatric health specialties. Pre-post new patient counts were also analyzed via chi square. Results: Total telehealth visit counts significantly increased between March-October 2019 (2,033 visits) compared to March-October 2020 (54,276 visits). Mean monthly telehealth visits increased by 6,530 visits, or 2,569.75% over the same time period (p < 0.0001). In October 2020, total telehealth visits were still 1,194.78% above 2019 levels (345 visits in 2019 vs. 4467 visits in 2020). Discussion: Results here show a substantial volume increase in telehealth-delivered pediatric healthcare and resource utilization as a response to COVID-19. This provides a template for permanent adoption of pediatric telehealth delivery post pandemic. Further investigation is needed to determine impacts upon resource allocation, processes, and general models and standard of care to assist facilities and programs to better address the needs of the pediatric populations they serve in the post-COVID era.

Potential Utility of School-Based Telehealth in the Era of COVID-19.

BACKGROUND: The COVID-19 pandemic presents unique opportunities for preexisting school telemedicine programs to reach pediatric populations that might otherwise experience a lapse in health care services. METHODS: A retrospective analysis of one of the largest school-based telemedicine programs in the country, based in the Dallas-Fort Worth (DFW), Texas was conducted that included 7021 pediatric patients who engaged in telehealth visits from 2014 to 2019. RESULTS: Asthma or other respiratory disease was the primary diagnosis (28.4%), followed by injury or trauma (18.4%), digestive disorders (6.9%), and ear/eye/skin disease (6.9%). More participants were from the North (34.4%) and West (33.2%) ISD compared to the South (20.6%) and East (11.7%) schools. Likewise, the majority of COVID-19 cases were in the North (61.8%) and West (31.6%) DFW regions, leading to 989 (59.9%) and 551 (33.4%) deaths, respectively. CONCLUSIONS: School-based telehealth programs have the potential to reach large pediatric populations most in need of health care due to COVID-19-related lapses in services, and to address COVID-19-related health issues as schools reopen. In the future, utilization could be expanded to contact tracing, testing, and screening for COVID-19.