We used Cerner Real-World Data™, representing hospital admission records from 2020, to examine patients with co-occurring sickle cell disease and COVID-19 by discharge disposition grouped as death/hospice versus transfers to other facilities, returned home, or left against medical advice. Among the death/hospice group, we found older age and higher rates of congestive heart failure and diabetes. There were also significant differences in tachypnea, mechanical ventilation, minimum O2 saturation, and length of stay with higher rates in the death/hospice group. Awareness of such factors and associated mortality risks for this population may aid in patient care.

OBJECTIVES/GOALS: Over 50 million people in the U.S. have an eating disorder (EDs), and body dissatisfaction is a key precursor to EDs. The current study seeks to culturally adapt an evidence-based positive body image program administered through a mobile-phone application for use with Latinx women. METHODS/STUDY POPULATION: The positive body image program centers around body functionality, which in contrast to appearance-based body image, emphasizes the body’s capabilities, including physical capacities, health and internal processes, senses, creative endeavors, self-care, and communication with others. Latinx women aged 18-25 years-old (n =15) will be recruited to participate in focus groups and individual qualitative interviews. Interviews will examine how Latinx women relate to the concepts of positive body image and body functionality. Participants will also provide feedback on the application design and program content. RESULTS/ANTICIPATED RESULTS: Results will elucidate how Latinx women relate to their body and can be used to inform our understanding of Latinx women’s positive body image. Results will also inform what components of the intervention need to be tailored to be more relevant for use in this population. Information from the interviews will be used to explore adaptations to create a more acceptable and effective intervention prior to testing the efficacy of the program. DISCUSSION/SIGNIFICANCE: Most evidence-based body image programs are not developed with culturally sensitive programming in mind. Thus, culturally adapting an evidence-based positive body image program that could be widely disseminated through a mobile-application could address body image concerns in Latinx women.

OBJECTIVES/GOALS: Rising rates of youth obesity, diabetes, depression, and anxiety necessitate programs that address physical and mental health concurrently. We describe a feasibility study for DiscoverU, an afterschool mentoring program that integrates multiple aspects of health including social emotional learning, physical activity, and mindful eating. METHODS/STUDY POPULATION: Trained college students mentored middle and high school students in a Midwestern school district. DiscoverU was delivered 2 hours, 2 days/week for 8 weeks. Based on self-determination theory, DiscoverU was designed to meet National Afterschool Association healthy eating and physical activity and social emotional learning standards. We assessed feasibility with participant attendance (middle, high school, and college students) and acceptability through qualitative data from participants and relevant stakeholders regarding facilitators/barriers to program implementation. We observed indicators of mentoring, lesson fidelity, and assessed physical activity using accelerometry. Pre-post surveys measured self-realization, self-regulation, mindful eating, and physical activity self-efficacy. RESULTS/ANTICIPATED RESULTS: We expect DiscoverU to be feasible and well accepted. We anticipate attendance will be similar or higher than that of other afterschool programs in the district. From focus groups we expect to hear a variety of factors that facilitate/prevent program engagement and learn about the acceptability of specific lessons. We expect to gain insight on processes and procedures from school stakeholders that will inform the sustainability of DiscoverU. We expect program fidelity to be high and mentoring skills to improve over the course of the program. We anticipate the majority of participants will meet National Afterschool Alliance physical activity guidelines. Preliminary outcomes of self-determination, self-regulation, mindful eating, and physical activity self-efficacy are expected to improve over the program. DISCUSSION/SIGNIFICANCE: Findings will help determine the readiness of DiscoverU to be scaled to other schools. A subsequent randomized effectiveness study will evaluate DiscoverU’s impact on intervention mechanisms (e.g., self-determination, self-efficacy) as well as on physical activity, diet, weight, and depression/anxiety symptomology.

OBJECTIVES/GOALS: Minoritized populations experience a large burden of Alzheimer’s Disease; interventions are often delayed and underrepresented communities’ participation in clinical trial research is low. Lack of information has been proposed as a barrier to clinical research enrollment of minoritized populations. METHODS/STUDY POPULATION: Brain Train, a cluster randomization trial, evaluated the role of education in increasing willingness to participate in research. A 3 segment program was developed whereas segment 3 had two versions: clinical trial education or healthy brain aging video. Brain Train was presented to multicultural communities with participants of at least 50 y/o throughout WNY. The primary outcome measure is evaluating the percent change in responding yes to would you be interested in participating in a clinical trial? before and after segment 3. The secondary outcome measure and exploration of barriers are measured by a Research Attitude Questionnaire. Demographic information such as age, race, gender, socioeconomic status, and educational attainment is collected. The statistical model is a generalized linear mixed model. RESULTS/ANTICIPATED RESULTS: Sixteen sessions with 281 participants were completed to generate the pilot dataset. We see 59.29 % of individuals answered yes before segment 3 and 46.02% answered yes after the educational intervention. Our data shows there is a 13.3% decrease in clinical trial participation interest after the educational intervention. Through our RAQ responses, our data shows significance when it comes to our participants’answers to questions regarding society needing to devote more resources to medical research (p=0.04). Trust emerged as the most significant barrier when it comes to one’s willingness to participate in medical research and clinical trials (p=0.03). DISCUSSION/SIGNIFICANCE: Our preliminary results from the first sixteen events suggest that the power of education is not sufficient to overcome barriers to clinical trial participation for underrepresented communities. Instead, trust appears to be the most significant barrier. Trust building strategies should be explored to answer this research question.

Minority populations are largely absent from clinical research trials. The neglect of these populations has become increasingly apparent, with escalating cancer burdens and chronic disease. The challenges to recruitment of minorities in the United States are multiple including trust or lack thereof. Keys to successful recruitment are responding to community issues, its history, beliefs, and its social and economic pressures. The strategy we have used in many low-income, sometimes remote, communities is to recruit staff from the same community and train them in the required basic research methods. They are the first line of communication. After our arrival in the Texas Rio Grande Valley in 2001, we applied these principles learned over years of global research, to studies of chronic diseases. Beginning in 2004, we recruited and trained a team of local women who enrolled in a cohort of over five thousand Mexican Americans from randomly selected households. This cohort is being followed, and the team has remained, acquiring not only advanced skills (ultrasound, FibroScan, retinal photos, measures of cognition, etc.) but capacity to derive key health information. Currently, we are participating in multiple funded studies, including an NIH clinical trial, liver disease, obesity, and diabetes using multiomics aimed at developing precision medicine approaches to chronic disease prevention and treatment.

OBJECTIVES/GOALS: Premature birth and its complications are among the largest contributions to infant death within the US. The rates of premature birth and infant death are significantly higher among African Americans. Therefore, there is an urgent need to understand the biological and social drivers of this health disparities to improve birth outcomes. METHODS/STUDY POPULATION: This is a retrospective cohort study of premature infants (< 28 weeks estimated gestational age, birth weight < 1500g) born within 2018 and 2021 to mothers who identify as either African American, or White/Caucasian Non-Hispanic and are cared for at Saint Louis Children’s Hospital Neonatal Intensive Care Unit. EPIC collected data will include maternal and fetal factors and social determinants of health (SDOH). ICD-9, ICD-10 codes for primary outcomes include grade 3-4 Interventricular Hemorrhage, moderate-severe Bronchopulmonary Dysplasia, Stage 2+ Necrotizing Enterocolitis, and moderate-severe Retinopathy of Prematurity. Will develop a composite variable score using the SDOH for risk/no risk using that for each disease outcome and mortality. Will use Chi-square test or T-test to compare groups. RESULTS/ANTICIPATED RESULTS: We are currently in the data collection phase of the study, but we anticipate seeing an increase in risk of all-cause morbidity as well as all-cause mortality for infants born to Black mothers compared to infants born to White mothers. We anticipate higher levels of disadvantage (increased area deprivation scores) and lower access to the goods and services deemed necessary for appropriate care of Black mothers and subsequent relation to outcomes for their infants. DISCUSSION/SIGNIFICANCE: Following analysis and assessment of that analysis we will discuss these findings and the impact on the general population and the needs for improvement and implementation of interventions upstream in the care of the vulnerable and special mother-baby-dyad population.

OBJECTIVES/GOALS: Recruiting under-resourced, rural nursing home (NH) staff to clinical research has proven especially difficult during COVID-19. The goal for this study was to leverage an existing group of NH providers to seek their opinions on the development of a novel person-centered risk management intervention for residents with dementia. METHODS/STUDY POPULATION: This study used community engagement studios (CES) to connect and engage with community experts (NH staff and leaders) attending, or in close vicinity to, a NH provider conference in Denver, Colorado July 25-30, 2022. Led by an experienced moderator and an assistant moderator using a semi-structured discussion guide, two CES were completed with 14 community experts. Community experts took part in a 90-minute facilitated and recorded discussion to gain their perspectives on the DIGNITY (Decision-making in aging and dementia for autonomy) study procedures and instruments along with recommendations for how to improve the acceptability, feasibility, and likelihood of intervention success. The local IRB determined this study to not be human research. RESULTS/ANTICIPATED RESULTS: Community experts most often identified as white/Caucasian (64%) females (93%) holding jobs in NHs as direct-care nurse/nursing aide (n=5), nurse supervisor/director (n=4), other NH leadership (n=3), nursing aide union organizers (n=2), and state surveyor (n=1). The primary outcomes of the CES were suggestions that could be used to adapt the elements of the study design. Following CESs, transcripts were reviewed and summarized on a rapid feedback table. The study team made changes to five of the six intervention elements based on expert feedback. Most experts (79%) agreed that the DIGNITY intervention was acceptable, appropriate, and feasible to implement in the NH community. DISCUSSION/SIGNIFICANCE: This study highlighted the voices of NH staff and leaders that is often underrepresented in research development and provides critical information for how to adapt a novel intervention for future testing in rural NH communities. Results also support the usefulness of CES as a method to develop practical interventions in NH communities.

OBJECTIVES/GOALS: Adolescent and young adult (AYA) patients, diagnosed with cancer between 15 and 39 years of age, often have worse outcomes compared to younger children and older adults. We will characterize age differences in acuity and severity of illness at initial presentation, as a measure for health outcomes, in patients with new diagnoses of leukemia or lymphoma. METHODS/STUDY POPULATION: We will perform a single institution-based, retrospective analysis of a cohort of pediatric oncology patients at Children’s Healthcare of Atlanta (CHOA) who were diagnosed with leukemia or lymphoma from 2010 to 2018. Data will be abstracted from the CHOA medical record and cancer registry. We will construct a severity score, with one point for 1) admission to the Intensive Care Unit (ICU), 2) ICU-level requirements at admission, 3) stage IV or metastatic disease, and 4) white blood cell count over 100,000/microliter. We will associate this score with age at presentation using logistic regression models among patients overall and stratified by disease type. All regression models will adjust for confounders (e.g., health insurance, race and ethnicity, and local-area social vulnerability level). RESULTS/ANTICIPATED RESULTS: Previous literature has shown increased cancer incidence and mortality in AYAs compared to younger children. Therefore, we hypothesize that AYA patients with a new diagnosis of leukemia or lymphoma will have a higher acuity and severity of illness at presentation than younger patients. We conducted a pilot study analyzing acuity and severity of illness by age, race, ethnicity, and insurance status. Bivariate comparisons suggested patients aged 10 and older were as likely as those younger to have a severity score of more than 0 at diagnosis (OR=0.661 , 95% CI 0.43-1.01). However, this result was collapsed across all hematologic malignancies, did not encompass the entire cohort, and did not address possible confounders; we anticipate our estimates will be different taking these factors into account. DISCUSSION/SIGNIFICANCE: Our work will be the first steps in creating a validated tool to understand disease acuity and severity. By using this tool to characterize presentation by disease type and age, we will identify unmet needs prior to an initial diagnosis of cancer. Our findings inform strategies toward narrowing age disparities in outcomes for AYA hematologic cancers.

OBJECTIVES/GOALS: This project examines the initial feasibility, acceptability, and appropriateness of using population-health data and geospatial information systems (GIS) technology to guide opioid overdose prevention in a Black community facing increasing racial inequities in fatal overdose since 2016. METHODS/STUDY POPULATION: We applied a mixed-methods approach, using GIS to examine hot spots of fatal opioid overdose among Black, adult decedents in St. Louis City and County, Missouri, derived from cause-of-death data from the Medical Examiner’s Offices from 2016-2021 (N = 1,612). Hot spot analysis was conducting using the Getis-Ord Gi* statistic. We then conducted a focus group with community-based providers in Black neighborhoods (N = 8) to assess the acceptability and appropriateness of mapping overdose data and to determine the utility of GIS for guiding decision-making in outreach activities aimed at overdose prevention. The focus group was recorded and transcribed for analysis to extract themes. RESULTS/ANTICIPATED RESULTS: Among 340 census tracts in the St. Louis region, 41 were statistically significant hot spots, indicating high clustering of fatal overdose. All hot spots were clustered together in North St. Louis, an area characterized by high racial and income segregation. Focus group participants reported potential pitfalls of GIS, including data inaccuracy for Black individuals and unwanted attention in hot spot areas (e.g., increased policing). Potential benefits included improved care coordination between organizations, assessing effectiveness of outreach interventions, and improving community-level awareness. Hyper-local neighborhood rather than regional maps were perceived as useful for outreach. DISCUSSION/SIGNIFICANCE: Artifacts of structural racism that drive Black opioid overdose deaths limit the utility of GIS to guide outreach in communities facing this systemic disinvestment. However, neighborhood-level GIS may serve as a tool for communities to build awareness and collaboration toward overdose prevention.

OBJECTIVES/GOALS: By establishing a youth-centric web-app as a central hub of information and inspiration in an attempt to engage a young demographic, this project aims to increase community awareness and reduce misconceptions surrounding clinical trials, in hopes of fairly representing marginalized communities among future clinical trial participants. METHODS/STUDY POPULATION: We designed a children’s web-app to host a collection of child-friendly educational materials (such as picture books, games, and age-appropriate articles about advances in clinical research) explaining clinical research and its process. An emphasis was put on ensuring the web-app and its contents were understandable and appealing to children. The effectiveness of this tool will be tested through a focus group study. Children ages 7-10 will be given a preliminary survey measuring their knowledge and opinions about clinical research, and then given time to explore the web-app. Afterwards, they will be given a secondary survey to gauge their acquired knowledge from the website and asked about their opinion on the design and usability of the web-app and its materials, as well as how likely they were to revisit the site. RESULTS/ANTICIPATED RESULTS: We anticipate a very positive response from the children regarding the design and usability of the web-app and its materials. By using an adolescent-focused design methodology at every step of the design process, we will ensure that all materials are attractive and engaging to our younger target audience. Exposing children to accessible information about clinical trials at a young age allows us to build their trust in the research process prior to the possible internalization and acceptance of cultural misconceptions. Over time, we hope to see a change in attitudes toward clinical research as well as increased participation, whether from under-represented groups or a younger demographic, and positively contribute to T3 and onwards in the translational continuum. DISCUSSION/SIGNIFICANCE: In a rapidly changing world, the best approach to making change is through targeting the younger demographic, the leaders of tomorrow. Our project will allow adolescents to foster a more well-rounded opinion of clinical research, increasing their participation and better paving a more positively received future for translational science as a whole.

OBJECTIVES/GOALS: Medications to treat opioid use disorder (mOUD) are available and can save lives, but are underutilized. We hypothesize that the rate of prescribing varies by treatment facility and these differences will shed light on barriers and facilitators to mOUD utilization. METHODS/STUDY POPULATION: We performed an exploratory analysis in MD Clone, a platform which generates non-identifiable synthesized data based on real patient data in the electronic health record (EHR) of St. Louis based hospitals. Our query included adults aged 18-70 with an OUD diagnosis using ICD-9 of -10 codes (opioid abuse, opioid dependence, opioid poisoning, opioid withdrawal) occurring between 2013 and 2022 along with prescriptions for buprenorphine, methadone, or naloxone within 7 days of the condition being entered in the record. We compared the rate of medication prescription within 7 days across settings and facilities where the patients were seen. We propose to replicate this analysis in actual patient records from the EHR following IRB approval. RESULTS/ANTICIPATED RESULTS: Our synthetic data comprised 24600 patient diagnoses. After filtering for patients seen in the ER or inpatient 16235 patients remained in the data set. Of these, 4376 fell into one of the categories that clearly warrant treatment with medication. Out of 4376 patients with a qualifying OUD related condition, only 815 (18.6%) received a prescription for any of the medications. Rates of prescribing within facilities varied between 67.2% of eligible patients receiving a prescription at a rural location to 0% at some urban centers. We anticipate similar findings from analysis of patient records obtained from the EHR. We will extend our analysis to explore factors which may be driving the wide difference in prescribing to better understand barriers and facilitators to mOUD utilization. DISCUSSION/SIGNIFICANCE: We identify under-utilization with differences across facilities in prescribing mOUD based on preliminary work in synthetic data. If true, this represents a gap in care and opportunity for intervention. By replicating the MD Clone results in patient data from the EHR we will confirm this finding and increase acceptability to clinicians.

Observational studies are notoriously susceptible to bias, and parallel-group randomized trials are important to identify the best overall treatment for eligible patients. Yet, such trials can be expected to be a misleading indicator of the best treatment for some subgroups or individual patients. In selected circumstances, patients can be treated in n-of-1 trials to address the inherent heterogeneity of treatment response in clinical populations. Such trials help to accomplish the ultimate goal of all biomedical research, to optimize the care of individual patients.

OBJECTIVES/GOALS: The purpose of this mixed methods project was to gain a comprehensive understanding and generate data on factors, including stress and inflammatory biomarkers, that may negatively impact glycemic levels in children aged 8-12 years with type 1 diabetes (T1D) from underrepresented backgrounds. METHODS/STUDY POPULATION: This study employed a two-phase sequential QUAN -> qual mixed methods design. Children and their parents were recruited from a pediatric endocrinology clinic in the southeastern United States. In phase 1 (n=34), we used quantitative methods to measure perceived stress, diabetes distress, cortisol, inflammation (IL-1b, IL-2; IL-6; IL-8; TNF-a; CRP), and glycemic level (HbA1c). Both children and their parent/guardian completed surveys, and children provided salivary and blood samples to measure cortisol and inflammatory markers. Phase 2 qualitative interviews in a subset (n=20) of children and parent/guardians from phase 1 are ongoing; preliminary findings will be included in the presentation. RESULTS/ANTICIPATED RESULTS: Mean age of children was 10.47 (sd=1.44), 67.6% were male, and 41.2% were black. HbA1c ranged from 6.8%-15% and only 2 (5.8%) children met ADA recommendations for HbA1c of 7% or less. HbA1c was associated with child reports of perceived stress (r = .403, p < .05), but not parent reports of child perceived stress (r = -.011, p > .05). Parent reports of perceived stress and diabetes distress in children were not significantly associated with child self-report of perceived stress (r = .11, p > .05) or diabetes distress (r = .018, p > .05). Exploratory models with PROCESS suggest that cortisol slope and IL-8 moderate the relationship between child’s perceived stress and glycemic control. DISCUSSION/SIGNIFICANCE: Stressors are emerging that are unique to this population and may help highlight disparities in care. While the study is ongoing, findings may help health professionals identify and mitigate stressors in children with T1D to help maintain optimal glycemic levels.