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Importance: The US National Institutes of Health (NIH) is the largest government funding source for biomedical research globally. Burden of disease is one of the factors considered by the NIH in making funding allocations, though it is not known how funding patterns are associated with disease burden for pediatric conditions., Objective: To determine the correlation between NIH funding and disease burden across pediatric conditions., Design, Setting, and Participants: This cross-sectional study evaluates NIH grants funding pediatric research from 2015 to 2018 in the US. Pediatric grants were classified according to disease categories studied. Disease burden for each category was determined using measures from the Institute of Health Metrics and Evaluation and hospitalization data from the 2016 Kids' Inpatient Database., Main Outcome and Measure: Correlation between NIH funding and pediatric disease burden using Spearman rank order coefficients and predicted amounts of disease-specific funding based on disease burden estimated from linear regression models., Results: This study analyzed 14 060 disease-specific pediatric grants awarded by the NIH from 2015 to 2018 in the US. Annual funding for disease categories ranged from $0 to $382 849 631. Funding for pediatric research was correlated with pediatric disability-adjusted life-years (DALYs), deaths, years lived with disability, and years of life lost (r, 0.56-0.63; P < 0.001 for all measures). There was also a correlation between funding and hospital-based metrics, including hospital days, number of hospital admissions, and hospital charges (r, 0.67-0.69; P < .001 for all measures). Eight disease categories received greater than $500 million more than predicted levels relative to DALYs, while 5 disease categories were funded more than $50 million less than predicted levels. Based on predicted levels of funding, congenital birth defects; endocrine, metabolic, blood, and immune disorders; and HIV/AIDS were the most overfunded categories relative to DALYs and hospital days. Conditions identified as most underfunded differed depending on use of DALYs or hospital days in estimating predicted funding levels., Conclusions and Relevance: NIH funding for pediatric research was correlated with pediatric disease burden in the US with variable correlation based on the disease metric applied. There was substantial overfunding and underfunding of certain conditions. Ongoing evaluation of pediatric funding patterns using a complementary set of disease measures may help inform and prioritize pediatric research funding.

Background and Objectives: The impact of the coronavirus disease 2019 (COVID-19) pandemic on pediatric emergency department (ED) visits is not well characterized. We aimed to describe the epidemiology of pediatric ED visits and resource use during the pandemic., Methods: We conducted a cross-sectional study using the Pediatric Health Information System for ED visits to 27 US children's hospitals during the COVID-19 pandemic period (March 15, 2020, to August 31, 2020) and a 3-year comparator period (March 15 to August 31, 2017-2019). ED visit rates, patient and visit characteristics, resource use, and ED charges were compared between the time periods. We specifically evaluated changes in low-resource-intensity visits, defined as ED visits that did not result in hospitalization or medication administration and for which no laboratory tests, diagnostic imaging, or procedures were performed., Results: ED visit rates decreased by 45.7% (average 911 026 ED visits over 2017-2019 vs 495 052 visits in 2020) during the pandemic. The largest decrease occurred among visits for respiratory disorders (70.0%). The pandemic was associated with a relative increase in the proportion of visits for children with a chronic condition from 23.7% to 27.8% ( P < .001). The proportion of low-resource-intensity visits decreased by 7.0 percentage points, and total charges decreased by 20.0% during the pandemic period., Conclusions: The COVID-19 pandemic was associated with a marked decrease in pediatric ED visits across a broad range of conditions; however, the proportional decline of poisoning and mental health visits was less pronounced. The impact of decreased visits on patient outcomes warrants further research., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2021 by the American Academy of Pediatrics.)

The social determinants of health (SDoH) are defined by the World Health Organization as the "conditions in which people are born, grow, live, work, and age." Within pediatrics, studies have highlighted links between these underlying social, economic, and environmental conditions, and a range of health outcomes related to both acute and chronic disease. Additionally, within the adult literature, multiple studies have shown significant links between social problems experienced during childhood and "adult diseases" such as diabetes mellitus and hypertension. A variety of potential mechanisms for such links have been explored including differential access to care, exposure to carcinogens and pathogens, health-affecting behaviors, and physiologic responses to allostatic load (i.e., toxic stress). This robust literature supports the importance of the SDoH and the development and evaluation of social needs interventions. These interventions are also driven by evolving economic realities, most importantly, the shift from fee-for-service to value-based payment models. This article reviews existing evidence regarding pediatric-focused clinical interventions that address the SDoH, those that target basic needs such as food insecurity, housing insecurity, and diminished access to care. The paper summarizes common challenges encountered in the evaluation of such interventions. Finally, the paper concludes by introducing key opportunities for future inquiry.

Catherine Kreatsoulas,1,* Areej Hassan,2,* SV Subramanian,1 Eric W Fleegler3 1Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA, USA; 2Division of Adolescent/Young Adult Medicine, Boston Children’s Hospital Boston, Boston, MA, USA; 3Division of Emergency Medicine, Boston Children's Hospital Boston, Boston, MA, USA *These authors contributed equally to this work Purpose: Social disparities among youth have been recognized as an important influence on disease risk later in the life cycle. Despite this, social problems are seldom assessed in a clinical setting. The primary objective of our study was to evaluate the impact of social disparities on the health of youth. Methods: A self-directed, web-based screening system was used to identify social disparities along seven social domains. Participants included youth, aged 15–24 years, recruited from an urban hospital clinic. The main outcome variable, self-rated health, was captured on a 5-point Likert scale. Univariable and multivariable regression models adjusted for sex, age, and race/ethnicity were implemented to assess the association between social problems and self-rated health. Correlation between social disparity problems was estimated using phi coefficient. Results: Among 383 participants, 297 (78%) reported at least one social problem. The correlation among social disparity problems was low. Social disparities had an independent effect on self-rated health, and, in a fully adjusted model, disparities in health care access and food insecurity remained significant. The presence of even one social problem was associated with a decrease in overall health (β=0.68, P