OBJECTIVES/GOALS: 1. Describe the development and implementation of a Community Scholars Program to train graduate and professional students on principles of community engagement and its application to their research. 2. Evaluate lessons learned and overall impact implementing a Community Scholars Program. METHODS/STUDY POPULATION: After identifying a need to train scholars on the principles of community engagement, the Community Engagement Research Core’s (CERC) Community Advisory Council (CAC) developed the Community Scholars Program (CSP) in 2014. The CSP was designed to educate scholars on community engaged research and how it can be applied to their research projects. The program is currently in its ninth cohort with 19 graduate and professional students having participated in the program to date. Prospective scholars identify a community partner and faculty mentor and apply to conduct a community engaged research project over the course of an academic year. The purpose of this project is to describe the development and implementation of a CSP and identify lessons learned throughout the process. RESULTS/ANTICIPATED RESULTS: Five lessons learned have been identified: five major lessons learned from implementing the CSP: (1) establish partnership agreements between the scholars and their community partners and faculty mentors, setting expectations to avoid conflict and increase mutual understanding; (2) expand and implement more creative outreach approaches to cultivate a more diverse pool of applicants; (3) increase networking between current and past scholars to share experiences and serve as a resource for each other; (4) provide formal CE training for scholars to develop a better understanding of the principles of CE and CE research; and (5) document progress of the program through formal feedback and evaluations. DISCUSSION/SIGNIFICANCE: The CSP was constructed to fill a gap in CE research training for graduate and professional scholars. Over the course of the program, the identified lessons learned have created program clarity and increased accountability for scholars, mentors, and community partners alike.

OBJECTIVES/SPECIFIC AIMS: Community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) skin and soft tissue infections (SSTIs) recurrence ranges from 16% to 43% and presents significant challenges to clinicians, patients, and families. This comparative effectiveness research study aims to disseminate, implement and evaluate whether an existing intervention, consisting of decolonization and decontamination procedures, which has been determined to be effective in hospital intensive care unit settings, can be implemented by Community Health Workers (CHWs) or “promotoras” conducting home visits prevent recurrence of CA-MRSA and transmission within their households for patients presenting to primary care with SSTIs. METHODS/STUDY POPULATION: In partnership with 3 Community Health Centers and 4 community hospitals in NYC, this study will recruit patients (n=278) with confirmed MRSA SSTIs and their household members. Participants are randomized to receive either a CHW/Promotora-delivered decolonization-decontamination intervention or usual care, which includes hygiene education. The highly engaged stakeholder team meets monthly to review interim results, identify areas for refinement and new research questions, and develop and implement strategies to improve participant engagement and retention. RESULTS/ANTICIPATED RESULTS: MRSA and MSSA were found in 19% and 21.1% of wound cultures, respectively. 59.5% with MRSA+ wound culture had one or more MRSA+ surveillance culture; 67.8% with MSSA+ wound culture had one or more MSSA+ surveillance culture. The “warm handoff” approach, developed and implemented by the stakeholder team to engage patients from their initial consent to return of lab results and scheduling of the home visits, helped improve completion of baseline home visits by 14%, from 45% to 59% of eligible participants. Home visits have demonstrated that 60% of households had at least one surface contaminated with S. aureus. Of the surfaces that tested positive in the households, nearly 20% were MRSA and 81% were MSSA; 32.5% of household members had at least one surveillance culture positive for S. aureus (MRSA: 7.7%, MSSA: 92.3%). DISCUSSION/SIGNIFICANCE OF IMPACT: This study aims to understand the systems-level, patient-level, and environmental-level factors associated with SSTI recurrence and household transmission, and to examine the interactions between bacterial genotypic and clinical/phenotypic factors on decontamination, decolonization, SSTI recurrence and household transmission. This study will evaluate the barriers and facilitators of implementation of home visits by CHWs in underserved populations, and aims to strengthen the weak evidence base for implementation of strategies to reduce SSTI recurrence and household transmission.

OBJECTIVES/GOALS: In 2022, 116,000 Puerto Ricans were estimated to be affected by Alzheimer’s disease (AD). Gait limitation (GL) has been associated with different stages of AD. We study the GL-AD association in two elderly populations: Hispanics residing in PR and Americans in the mainland U.S., and identify the effects, and social determinants of health. METHODS/STUDY POPULATION: We propose a cross-sectional study involving data analysis from elderly (>65 years) Hispanics in PR and Americans in the U.S. Data will come from the National Alzheimer Coordinating Center (NACC) and a cohort of AD in PR. Our analysis will consider gait parameters, cognitive performance assessments, and AD stage (mild, moderate, and severe) as determined by the Alzheimer’s Association. We will examine social determinants of health and their association with GL and cognitive performance by AD. RESULTS/ANTICIPATED RESULTS: Our analysis will evaluate data about GL and AD stages to 1) investigate the association between GL and the distinct stages of AD and 2) evaluate the effects of social determinants of health in the association between GL and AD. We seek to profoundly understand how these factors interact within elderly populations. This exploration encompasses a diverse demographic, including elderly individuals in the U.S. and PR. We seek to identify disparities in social determinants among elderly individuals experiencing GL and AD by comparing PR and US populations. Through this association analysis, our study aspires to offer insight into the connections between GL and AD while considering the effects of social determinants of health in diverse populations. DISCUSSION/SIGNIFICANCE: The prevalence of AD is higher among Hispanic populations (e.g., Puerto Ricans) in the USA when compared to other ethnic groups. Experiencing GL may affect their daily lives, leading to exacerbating AD stages. The findings from this study will contribute to possible interventions to improve their GL and AD progression.

OBJECTIVES/GOALS: Atopic Dermatitis (AD) affects 10% of people globally and is studied widely in clinical trials. However, clinical outcomes assessment (COA) for AD are not standardized, hindering easy comparisons across different studies. This study examines AD studies to identify the most used COAs. METHODS/STUDY POPULATION: Clinicaltrials.gov was searched to identify AD trials conducted between 2011 and 2021. Ongoing and completed trials were classified according to the therapeutic modality: Biologic, Immunosuppressive, or Other (botanicals and antibiotics). Further, AD trials were examined to determine which of the COAs listed in the FDA compendium issued in 2021 were included: the Investigators Global Assessment (IGA), the Eczema Area and Severity Index (EASI-75), and the Pruritus Numeric Rating Scale (NRS). The results were analyzed to determine which COA is most frequently used and if there were differences across therapeutic modalities or trial phases. RESULTS/ANTICIPATED RESULTS: Across a total of 50 AD trials registered in clinicaltrials.gov, EASI-75 was the most used COA; the item was included in 12 of 16 biologics, 5 of 14 immunosuppressives, and 7 of 20 other products. Moreover, AD trials of biologics included more of the FDA-suggested COAs than those studying other modalities. There were also differences across the clinical trial phases in that most phase III AD trials (83.33%, n=8) included two of the three COAs listed (IGA and EASI-75) compared to less than half of phase I/II trials (vs. 43.75%, n=32). DISCUSSION/SIGNIFICANCE: Findings from this study indicate a lack of COA harmonization across AD trials, impeding comparative analysis of the trial results. Establishing a common standard for COA would foster communication and transparency among key stakeholders including researchers, healthcare providers, and patients.

OBJECTIVES/SPECIFIC AIMS: (1) Provide an innovative tool used to accelerate and evaluate T3-T4 research; (2) describe the collective capacity building tool (CCBT) methodology—both programmatic and evaluative applications; and (3) share insights about the process and outcomes of community-engaged research. METHODS/STUDY POPULATION: Academic and community-based partners complete the assessment together at the beginning and conclusion of their Community Engagement pilot projects. Further, they are encouraged to use the tool and the associated insights/priorities that emerge as the basis for data-driven coaching with Community Research Liaisons throughout the 12-month grant cycle. RESULTS/ANTICIPATED RESULTS: Pre/post results with 4 cohorts of pilot grantees consistently demonstrated the most positive change in relation to 1 item: overcoming previously identified barriers to community engagement (eg, language, mistrust, scheduling conflicts). Other key findings: (1) networks of reciprocal ties expand, providing structures to support dissemination of information and interventions. (2) Partners leverage expanded networks to pursue follow-on funding and extend the scope/reach of their efforts geographically and/or with new populations. (3) Projects enhance trust in the research process by developing group processes that facilitate the respectful sharing of diverse (often alternative) viewpoints and through culturally-responsive project implementation. DISCUSSION/SIGNIFICANCE OF IMPACT: The CCBT can be used at multiple points in time to help project partners achieve the deliberate integration of CBPR principles in practice and advance community-engaged translational research efforts for sustainability and scalability. The CCBT is sensitive enough to document the iterative nature of partnership development and CBPR. An example: a great deal of variability was found in how formally partners defined roles. Further, partner roles often changed as projects evolved. Still, results indicated a general trend toward achieving greater clarity in partner roles over time. Further, the tool captured set-backs due to partner turn-over and partnerships regaining momentum after new staff came on board. Results have strong face validity: more mature partnerships reported stronger community connections and previous successes to build upon. Perhaps most importantly: the tool and associated process was well-received by academic and community-based partners alike.

OBJECTIVES/GOALS: The objective of this study is to perform a systematic review and meta-analysis on the prognostic utility of electroencephalography (EEG) in stroke recovery. METHODS/STUDY POPULATION: A literature search was conducted using three electronic databases, including PubMed, Scopus, and CINAHL. Key search terms were “EEG,” “stroke,” and “rehabilitation”. Only peer-reviewed journal articles published in English that examined the relationship between EEG and a standardized clinical outcome measure(s) at a later time in stroke patients were included. Two independent raters completed data extraction and assessed methodological quality of the studies with the Downs and Black form. A linear meta-regression was performed across subsets of individual studies that utilized a common clinical outcome measure to determine the association between EEG and clinical outcome while adjusting for sample size and study quality. RESULTS/ANTICIPATED RESULTS: 56 papers met the inclusion criteria and were included in the systematic review. The prognostic value of EEG was evidenced at both the acute and chronic stages of stroke. The addition of EEG enhanced prognostic accuracy more than initial clinical assessment scores and/or lesion volume alone. In the meta-analysis, a subset of 10 papers that utilized the National Institutes of Health Stroke Scale (NIHSS) and a subset of 7 papers that utilized the Modified Rankin Scale (MRS) were included. Analysis demonstrated an association between EEG and the subsequent clinical outcome measures. DISCUSSION/SIGNIFICANCE OF IMPACT: Currently, prognosis is largely based on initial behavioral impairment level. However, post-stroke recovery outcomes are heterogeneous despite similar initial clinical presentations. Uncertain prognosis makes it difficult for clinicians to develop personalized treatment plans for patients. Improved prognosis for recovery may guide clinical management for stroke survivors by helping clinicians determine the maximally efficient course of treatment and care. This study suggests that prognostic accuracy may be enhanced using EEG.

Objectives/Goals: We operationalized our evaluation using the RE-AIM framework, by defining its dimensions as nodes within a net effect diagram in the form of radar charts to visually display group variation among nodes. This enhanced our ability to measure the reach, effectiveness, and implementation of our efforts in under-resourced Los Angeles communities. Methods/Study Population: We applied the RE-AIM framework to guide the operationalization of evaluation methods, defining the RE-AIM dimensions generally with a focus on reach, effectiveness, and implementation. We developed and defined a standardized scoring system for metrics that contributed to the RE-AIM dimensions of focus, using data from our activities such as health education workshops targeting diverse, under-resourced populations in Los Angeles. Our standardized scoring system ranged from 1 to 5, reflecting the degree of success within each metric/dimension. Scores were mapped in net effect diagrams in the form of radar charts to enable comparative analysis and visualization, highlighting a variety of grouped variables (i.e., language, locations, and adaptation). Results/Anticipated Results: The operationalized and developed scoring system allowed us to standardize assessment across the RE-AIM dimensions, making it possible to visualize our impact through net effect diagrams. These diagrams illustrated variations in reach, effectiveness, and implementation across different community engagement activities stratified by group variables, providing insights into our impact and areas for adjustment. Preliminary results suggest that the net effect diagram effectively captures both broad and nuanced impacts and serves as a viable application of the RE-AIM framework. The use of standardized scoring enhances data comparability and offers a dynamic visual tool for monitoring ongoing and future initiatives while serving as a tool to display and report our impact. Discussion/Significance of Impact: Operationalizing evaluation with the RE-AIM framework and implementing a standardized scoring system allows us to visualize and monitor effectiveness in real time. This system supports data-driven decision-making for our sustainable, impactful community engagement initiatives ultimately contributing to our goal of improving health equity.

OBJECTIVES/SPECIFIC AIMS: The study aims to (1) investigate the structural patterns of professional communication that exist at the Mount Sinai Health Hackathon (2) explore if and how the professional networks of the participants change after engaging in the Mount Sinai Health Hackathon (3) explore any associations between the characteristics of participants’ professional networks and successful innovation development. METHODS/STUDY POPULATION: The recruitment pool consists of all 78 Mount Sinai Health Hackathon 2018 participants. Characteristics of the social network of Health Hackathon participants are assessed via an SNA data collection instrument at three time points: T1 directly before the Health Hackathon event, T2 directly after the event, T3 six months post-event. The Icahn School of Medicine at Mount Sinai Institutional Review Board approved this study as exempt. In order to explore patterns of communication between Health Hackathon participants during event, whole network data is collected at T2. Participants are provide with a roster of Mount Sinai Health hackathon participant names and asked to report the nature, frequency and perceived importance of their interaction with each of the other participants over the duration of the 48 hour event. In order capture any network change in the wider professional networks of the individual participants, known as “ego networks”, participants are asked to complete an SNA ego network survey at time points T1, T2 and T3. Open ended questions asked participants to report up to 20 people they consider being most important to them in their professional network and record the professional background of each person, the nature of the communication and the importance of each person to their success. Finally, at T3 participants are also asked to report on their project success (determined by businesses formed, filed provisional patents, financial income generation). This will be reviewed in relation to their social network data, to see if there is any relationship between the two. Data is analyzed using the specialized SNA software, UCiNET, which creates network sociograms to visualize network data. Descriptive statistics are used to report individual-level characteristics of respondents.RESULTS/ANTICIPATED RESULTS: To describe the structural patterns of communication at each time point, the following network-level indices are calculated: density (a measure of network cohesion), degree centrality (how many connections the individual has), betweenness centrality (whether the individual provides connections to other people in a network) and closeness centrality (how close the individual is to other people in the network). Network sociograms are generated for each time point to provide a visualization of the network. To explore the hypothesis that participating in the Mount Sinai Health Hackathon increases diversity of a professional network, analysis will focus on whether and how network-level indices change pre- and post- Hackathon. It will also explore any association between network characteristics and project success. DISCUSSION/SIGNIFICANCE OF IMPACT: Social Network Analysis of the Mount Sinai Health Hackathon provides an understanding about the structure of relationships that are formed as a result of participation in this event. Although, the design of this study does not allow for inferences of causality, the SNA approach enables an in-depth exploration of Hackathon participants’ professional networks, how these evolve over time and how certain network characteristics may be associated with project success. This information will be used to inform the development, content and delivery of future Health Hackathon initatives.

OBJECTIVES/GOALS: The University of Michigan Frankel Cardiovascular Center (FCVC) Innovation Challenge is an annual competition offering funding for innovative ideas to improve cardiovascular care. Due to the COVID-19 pandemic, administrators converted the recruitment process and pitch event to fully virtual. METHODS/STUDY POPULATION: We detail the process of converting the event from a hybrid process (virtual and in-person recruiting and in-person event) to a fully virtual one. Changes to the event included implementing a virtual recruiting process utilizing short video recordings as submission format; a new tool for storing and displaying submissions; fully virtual finalist selection and coaching; and a fully virtual pitch and judging event. The submission process tracked information about submissions that include the type of idea (process or product), role of team lead, and department of team lead. RESULTS/ANTICIPATED RESULTS: The FCVC Innovation Challenge was successfully converted to a fully virtual event. Methods and tools will be shared to allow similar institutions to replicate a successful virtual pitch event. These include methods and tools utilized to allow participants to describe their ideas, strategies to select and coach finalists, and to host a virtual pitch event. Data will be shared on the number of ideas and category (product/process) of projects submitted, and number and category of finalists selected. DISCUSSION/SIGNIFICANCE: This case review can demonstrate how institutions can use a similar virtual idea submission and pitch process to (1) catalyze innovative ideas that can impact patient care by accessing its communitys ideas and (2) fund innovative ideas that do not fit traditional mechanisms.

OBJECTIVES/SPECIFIC AIMS: (1) To propose an iterative decision-making model of care planning for CSHCN. (2) To identify targets warranting measurement in future studies of SDM in care planning for CSHCN. METHODS/STUDY POPULATION: Conceptual model developed by a multidisciplinary team iteratively considering the complex relationships among diverse factors affecting care planning for CSHCN, informed by clinical and implementation science experience and a scoping literature review of medical and cognitive sciences literature addressing interpersonal decision-making, communication, negotiation, and trust among children, their parents, and their clinicians. RESULTS/ANTICIPATED RESULTS: Decision-making interventions in pediatrics tend to focus narrowly on single acute decisions, providing minimal guidance for decisions related to chronic disease management over time. Few models account for the role of the child in the decision-making process, despite their ongoing development. Therefore, we propose a model of shared decision-making in the context of managing chronic illness in children that recognizes all actors and can support both the design of clinical care and research. This model—The SDM Learning Loop Model—highlights the dynamic iterative nature of exchanges between and among the clinical team and the parent-child dyad and recognizes the child as the center of each decision-making cycle. The model accounts for key practice, family, experiential, and emotional contexts influencing the decision-making encounter. In this model, change in child health status and developmental capacity resulting from a given cycle’s care plan will directly influence the relationship between clinician and parent-child dyad (eg, mutual trust, attunement) and impact each party’s engagement in the next round of decision-making. The relationship between experience and outcome stimulates learning. DISCUSSION/SIGNIFICANCE OF IMPACT: Our proposed SDM Learning Loop Model suggests that increasing the shared nature of decision making is not only likely to optimize care planning, but creates “buy-in” that can both reinforce the impact of positive outcomes, and moderate the negative impact on relationships when the outcome is other than desired. We hypothesize that this model can guide care planning and shape research to the benefit of both clinical outcomes and clinician-family relationships. Future work should focus on the development and validation of measures to account for the experiential and emotional contexts in which such decisions are made, and the outcomes of care in this population.

OBJECTIVES/SPECIFIC AIMS: This project presents the implementation of research tracks instructional design using a learning management system (LMS). METHODS/STUDY POPULATION: On January 2018, a Novel Methodologies in Health Disparities Research Symposium was held, with participation of local and national collaborators. The purpose was to identify the most important areas of knowledge, essential skills, available online resources and conferences associated with each research track. The recommendations provided contributed to the instructional design of novel methodologies research tracks aiming to improve health disparity research. The LMS includes general documents, instructional materials and assessment instruments, among others. Scholars are required to comply with 30 contact hours. The content and strategies utilized will be evaluated. RESULTS/ANTICIPATED RESULTS: Active scholar participation through the LMS is expected. Evaluation results will reflect the strengths and challenges of the implementation of instructional design. DISCUSSION/SIGNIFICANCE OF IMPACT: This strategy will engage scholars in an active learning experience enhancing their career development as independent researchers to eliminate health disparities.

OBJECTIVES/GOALS: Antiretroviral treatments (ART) suppress retroviruses, like the human immunodeficiency virus (HIV). The goal is to understand how antiretroviral drug patents contribute to overpriced HIV medications, thereby causing cost-related treatment non-adherence and inhibiting viral suppression. METHODS/STUDY POPULATION: Currently, HIV affects 57,700 individuals in Los Angeles County (LAC). Data was compiled from Centers for Disease Control and Prevention (CDC), hiv.gov, lacounty.HIV, publichealth.lacounty.gov, and the U.S. Patent and Trade Office. A review of existing literature examined the role of ART patents on cost-related non-adherence and declining viral suppression on individuals living with HIV in LAC. Lastly, a comparison of HIV medication prices of expired and non-expired patents was conducted, indicating the effects of undue extensions of market exclusivity on ART regimen pricing, and how this affects treatment adherence. RESULTS/ANTICIPATED RESULTS: Of the ten ARTs examined, four had expired patents and six had active patents. Those with active patents cost more than those with inactive patents because active patent status prevents price reductions. Patent strategies–pay-for-delay settlements and patent evergreening–unduly extend market exclusivity, keeping ART at prohibitive costs and preventing generic competition. Individuals facing cost-related non-adherence were less virally suppressed at their last viral load test (64%) and at all tests during the year (54%). Thus, over-patented ARTs increase treatment prices, causing cost-related non-adherence to ART regimens. The implications include disease progression and less viral suppression. DISCUSSION/SIGNIFICANCE: The U.S. has the highest ART prices, yet the lowest rate of HIV viral suppression (54%) among all well-resourced countries. Undue extensions of market exclusivity cause ARTs to remain at prohibitive costs, preventing some patients from affording ART treatments, minimizing their viral suppression.

OBJECTIVES/SPECIFIC AIMS: Dyspareunia is a type of female sexual dysfunction estimated to affect 8%–22% of women of all ages. There is concern that these statistics do not depict the true prevalence, because it frequently goes undiagnosed and untreated. By 2050, Latinos will make up 30% of the total population in the United States. As our patient population becomes more diverse, we need to ensure that our healthcare practices accommodate the changes. Our goals are to determine the prevalence of dyspareunia within our patient population and to identify if language impacts patients reporting symptoms of sexual dysfunction to their healthcare provider. METHODS/STUDY POPULATION: Our study is a convenience sample, cross-sectional survey of English and Spanish-speaking women, ages 18–45, who present to university-affiliated clinics. In total, 100 women from each language group will be studied. The survey will be completed in REDCap and will include the validated questionnaires for the Female Sexual Function Index (FSFI), Visual Analog Scales for pain, and Patient Global Impression of Severity and Improvement. Additional data on demographics and patient discussion of pain with their healthcare provider will be collected. RESULTS/ANTICIPATED RESULTS: The demographic and pain discussion questions will identify reporting rates. The FSFI score will be used to identify patients with sexual dysfunction and dyspareunia and calculate the prevalence in each language group. The domains will be analyzed to assess variations between populations. DISCUSSION/SIGNIFICANCE OF IMPACT: Dyspareunia has a great impact on patients’ quality of life when untreated. This study will allow us to identify barriers to diagnosing and treating cases of dyspareunia. If we detect differences in reporting rates between the language groups, future research could be tailored and conducted to identify the specific problems in communication. With this knowledge, we can improve how we discuss sexual health in clinic and ultimately improve quality of care for all patients.

Objectives/Goals: Evaluate use and reuse of data in biomedical fields to explore how data advances translational benefit for science and patients. Methods/Study Population: In this study, we use the metadata for 5 million data citations in the Data Citation Corpus as a source to analyze the use of datasets from biomedical fields across a number of facets, including date, affiliations, and funders. We identify examples of datasets that have been used across different research fields by analyzing the disciplinary scopes of the datasets and the publications that cite them and explore patterns of reuse of datasets beyond the original research project from which it was created. Results/Anticipated Results: The analysis will provide insights into datasets showing broad usage in biomedical fields, the patterns of data use over time, and the affiliations and funders associated with highly used datasets. The analysis will also dive into examples of datasets showing use across different fields and usage beyond the original project. The results will showcase examples of valuable datasets in translational research and serve as a basis for exploring different considerations around the impact of open datasets. Discussion/Significance of Impact: The exploration of data citations will provide insights into open data showing translational reach and an example of how the Data Citation Corpus can support evaluation of the impact of research data.

Objectives/Goals: The research industry continues to struggle with workforce instability: an aging workforce, staff shortages/burnout, retention/turbulence issues, and attracting qualified staff. We describe an intra-institutional approach at Virginia Commonwealth University to prepare undergraduates for entry-level positions across the research landscape. Methods/Study Population: To address research workforce expansion and job readiness within the institution, the VCU Student Pathways Collaborative was established as an inter-professional collaboration among key research business units. This collaborative effort resulted in the development of the Minor in Research Ecosystems, an academic intervention specifically designed to cultivate qualified entry-level personnel. Consisting of 18 credits, the minor is comprised of four core courses focusing on the competencies in job descriptions for various research ecosystem positions, one elective within the student’s chosen research domain, and culminating in an internship experience. The minor is designed to be accessible for all majors fostering diversity, inclusivity, and specialized content knowledge and skill sets. Results/Anticipated Results: The minor, launched in fall 2025, is designed to prepare students for careers that sustain and accelerate the research enterprise. A core goal is bringing awareness to the vast and varied career paths that research has to offer – paths many students reported they simply did not know existed. In the near future, the minor is expected to support institutional workforce needs, leading to a sustainable, qualified, and skilled workforce by specifically preparing students for the diverse research professional roles that they previously did not know existed. Additionally, early outreach to undergraduate advisors, faculty, and student organizations has revealed significant demand for pathways into research professional careers, a demand that is driving high enrollment projections. Discussion/Significance of Impact: The undergraduate Minor in Research Ecosystems is designed to meet the growing demand for a workforce capable of navigating the complex and interdisciplinary research landscape. By equipping students with critical knowledge and practical skills, the program ensures graduates are prepared to immediately serve as effective research team members.

OBJECTIVES/GOALS: To present a community engaged pilot study of minority participation in clinical research that translates principles of trauma informed care and culturally responsive education into research practices for Investigators that elevate African American patients’ trauma survivorship, and prioritize their values for meaningful research engagement. METHODS/STUDY POPULATION: Data will generated from Phase 1 pilot project research activities including: a) a scoping review of trauma-informed care and culturally responsive education principles, and published recommendations for translating these principles to clinical research practices, b) semi-structured Key Informant interviews (~10) capturing the perceived impact of trauma on Portland-area African Americans’ health, well-being, and clinical research participation, and c) a 2-day stakeholder council meeting with clinicians, patients, community health workers, Investigators, and IRB staff that will prioritize the clinical research principles and practices that matter most to African American patients, from pre-design to dissemination. Data will be collected Fall 2022/Winter 2023, and analyzed in Winter 2023. RESULTS/ANTICIPATED RESULTS: The results will empirically validate published recommendations on how to apply trauma-informed, culturally responsive (TICR) principles to clinical research practices, specifically for African American patients. They will illuminate the sociocultural and historical contexts under which clinical research is conducted with minoritized patients--drawing on the experiences of personnel who intersect at various levels of the clinical research ecosystem, and African American patients with varying experiences with clinical research. Results will illuminate challenges, needs, assets, cultural funds of knowledge, and values for meaningful research engagement, and provide practical, tangible strategies for Investigators to align with equity- and justice-based clinical research practices. DISCUSSION/SIGNIFICANCE: The TICR research approach disrupts the cycle of trauma, health disparities, and low minority research participation through a paradigm shift that equips Investigators to exercise universal precautions to minimize harm, protect African American research participants from retraumatization, prioritize their cultural values, and promote safety.

OBJECTIVES/GOALS: In a collaborative effort with Toronto Community Housing (TCH), West Toronto Ontario Health Team (WTOHT), and our translational research team, we seek to increase the availability and long-term use of mental health care services through an in-building Wellness Hub for underserved tenants residing in a medical desert, 100 High Park Avenue. METHODS/STUDY POPULATION: In our pilot study, we will use an evaluative framework based on resident feedback to gauge the effectiveness of wellness hub implementation. We will examine both survey results, information from key stakeholder conversation and final interview data from the resident participants. Post wellness hub implementation we will inquire about various aspects of their experience in residence related to the main pillars of our project, including the presence of key wellness resources, accessibility of resources, effectiveness of those resources. Qualitative data management softwares results from the semi-structured interview will be coded and analyzed to extract themes and relevant changes throughout and after intervention implementation. RESULTS/ANTICIPATED RESULTS: The anticipated project results would be based on the following research question findings: How might we develop and integrate accessible mental health services through the wellness hubs for tenants at 100 High Park Avenue to improve the long-term follow-through of their care? The primary outcome of this project would be collective improvement in mental health of tenants at TCH 100 High Park Avenue. Qualitative evidence in the form of semi-structured interviews of tenants at baseline and after wellness hub implementation are expected to indicate an improvement in their mental health. Secondary outcomes for tenants include fewer incidences of feeling unsafe, reduced drug dependency, and improved community cohesion. DISCUSSION/SIGNIFICANCE: A wellness hub will foster well-being and resilience among residents, ultimately enhancing their overall quality of life and community cohesion. Furthermore, the wellness hub model could be scaled across 2,100 TCHC buildings and other metropolitan cities facing similar crisis i.e. New York.

OBJECTIVES/SPECIFIC AIMS: The objective of this session is to support and encourage novice, unpublished researchers to turn their poster content into a manuscript publishable in a scholarly journal, by showing them concrete steps to follow and research study reporting standards to use as a template. METHODS/STUDY POPULATION: We will cover the following topics: choosing a journal, finding the journal’s requirements, locating the reporting standard for the study type (e.g., CONSORT for randomized trials), and structuring the manuscript appropriately per International Committee of Medical Journal Editors (ICMJE) recommendations (e.g., Introduction, Methods, Results, and Discussion). RESULTS/ANTICIPATED RESULTS: It is anticipated that by the end of the session, attendees should be able to: Select an appropriate journal; Organize a manuscript according to ICMJE guidelines; Compose a manuscript based on the applicable reporting standard (e.g. CONSORT). DISCUSSION/SIGNIFICANCE OF IMPACT: Providing novice researchers with information and resources that demystify the process of writing a manuscript suitable for a scholarly journal, is expected to bolster their confidence and increase the likelihood they will create and submit publishable manuscripts; thereby improving the dissemination of research findings and increasing research impact.

OBJECTIVES/GOALS: The objectives are to assess the impact of cumulative grief on the development of Compassion Fatigue (CF) and Burnout Syndrome (BS) in HCPs who care for dying children. We will also evaluate the relationship between CF and cortisol patterns in HCPs. METHODS/STUDY POPULATION: Cross-sectional study to be conducted in a Pediatric Hospital in Puerto Rico. A sample of 50 pediatric nurses will be selected to collect the data to evaluate the occurrence of CF and BS among HCP caring for children during end of life (EoL). Study subjects will include nurses who care for dying children in the Intensive Care Units and Oncology ward. Nurses working in the pediatric ward will be included as the control group. Three validated instruments (Spanish Version) will be administered (Professional Quality of Life vIV, Maslach Burnout Inventory- HSS, briefCOPE scale). Cortisol samples in saliva and hair will also be taken to determine levels in these HCPs. RESULTS/ANTICIPATED RESULTS: Our expected outcome is that CF and BS will be more frequent in HCPs caring for children during EoL compared with controls and that EoL nurses will have higher scores on CF scale and more frequent dysregulated cortisol patterns. DISCUSSION/SIGNIFICANCE OF IMPACT: Understanding how HCPs cope with grief caused by child death and the occurrence of CF and BO in our hispanic population allowing us to develop support strategies based on the specific HCPs needs. This knowledge will help improve HCPs’ well-being and may diminish the physiologic impact on cortisol.

OBJECTIVES/SPECIFIC AIMS: Women with GDM have a 7-fold higher risk of developing T2DM, and rates of GDM are higher among racial and ethnic minorities and women of lower socio-economic status. There are no data on postpartum diabetes screening after the first postpartum year or among women receiving care in FQHCs. We aim to address this gap in the literature by (1) defining the rates of follow-up screening for T2DM at 6–12 weeks and 1–3 years postpartum and (2) characterizing patient, provider, and healthcare system attributes that are associated with lack of follow-up screening for T2DM in a population of low-income women with GDM. METHODS/STUDY POPULATION: This is a retrospective cohort study of women with GDM during pregnancy receiving care in Missouri FQHCs from 2010 to 2015. Electronic health records (EHR) data from 26 FQHCs is housed in a central repository through the Missouri Primary Care Association (MPCA). This includes patient demographic, lab, and medication information as well as encounter level patient and provider data for the prenatal and postpartum period. EHR data does not include accurate delivery information, however. Pregnancies during the study time frame were identified using CPT and ICD9/10 codes. Deidentified data on individuals with a pregnancy was utilized to identify a subpopulation of “GDM candidates,” using a broad definition of glucose abnormalities as follows: ICD-9/ICD-10 codes for diabetes, medications and testing supplies used for diabetes, infant birth weight ≥4000 g or 8 lb or 13 oz, or abnormal glucose labs [defined as fasting glucose≥95, gestational glucose screen≥130, 1 h test≥130 (or ≥180 if 2 h test and 3 h test recorded on same day), 2 h test≥155, 3 h test≥140, A1C≥6, any glucose≥130, or any positive urine glucose]. This subpopulation was then linked to Medicaid administrative claims data [housed at the University of Missouri Office of Social and Economic Development Analysis (OSEDA)], providing detailed information on delivery, to further characterize patients with GDM in the time frame and provide all dates necessary to classify pregnancy and postpartum periods. RESULTS/ANTICIPATED RESULTS: From the de-identified pregnancy data set including 45,810 individuals, we identified 8008 “GDM candidates.” EHR data were linked to Medicaid claims data for these individuals from 2010 to 2015. Utilizing the enhanced data set, we are defining a pregnancy for each individual by the delivery date in the Medicaid record and an algorithm using lab and ultrasound record dates to define gestational age at delivery. This will result in a pregnancy level data set linked with individual encrypted identifiers with each record representing 1 pregnancy and postpartum period. GDM in pregnancy will be defined as having a baby with birth weight≥4000 g or 8 lb or 13 oz, ICD-9 or ICD-10 code for GDM during pregnancy or at delivery, or an oral glucose tolerance test (oGTT) 12–16 weeks before delivery with 2 or more abnormal results by Carpenter and Coustan criteria. We anticipate that our final GDM data set will include 2000–3000 individuals. We will then calculate the percentage of individuals receiving recommended screening tests at 6–12 weeks (fasting glucose or 2 h oGTT) and 1–3 years postpartum (fasting glucose, 2 h oGTT, HbA1C). We will use multivariable regression techniques to identify risk factors for lack of screening. We will be able to incorporate predictors not previously evaluated including distance from home to health center, access to public transport, specialty and training of the patient’s providers, pregnancy weight gain, postpartum appointment time of day, and number of various types of office visits. DISCUSSION/SIGNIFICANCE OF IMPACT: The creation of a linked data set of pregnancies complicated by GDM in women receiving care in FQHCs in Missouri is the first step toward better characterizing follow-up diabetes screening rates in this population and understanding patient, provider, and healthcare system variables that affect postpartum screening. The ultimate goal is to translate evidence-based patient-centered sustainable interventions into practice for low-income women with a history of GDM and improve population outcomes with the ability to track progress prospectively over time.

Acknowledgements: The authors thank Susan Wilson (MPCA), Jill Lucht, and Bhawani Mishra (OSEDA).