OBJECTIVES/GOALS: Investigators are looking to integrate DE&I into trials, increasing study population diversity. In response, the Community and Recruitment programs of the Oregon Clinical and Translational Research Institute (OCTRI), built a collaborative, community-focused system for investigators interested in community engagement and recruitment. METHODS/STUDY POPULATION: Historically, the OCTRI Community and Recruitment programs operated independently. To build a community-focused support system for investigators, we began with the programs learning about each other’s goals, values, and operations over a six-month period. Over the next two years, we then began integrating into each other’s team meetings and processes. Each team has their own process for providing services to investigators, consisting of intake and consultations. To these, we added tags for the other’s program topics. This allowed efficient identification of opportunities for referrals and joint consultations. Program leads meet regularly to discuss referrals and partnerships allowing for more effective and consistent collaboration. RESULTS/ANTICIPATED RESULTS: Over the last two years, OCTRI Community and Recruitment built a collaborative process that allows investigators to work with both programs, receiving comprehensive, supportive assistance and education on how to design their study, engage with community, and recruit participants in a community-based setting. During this time, the programs have: provided consultations that discussed the other’s program (N=21); made direct referrals to the other program (N=4); and, provided joint consultations (N=2). Studies that are investigator-initiated, in planning phase, and population focused were found to benefit most from the collaborative efforts. Additionally, we have improved the collaborative process during this time, resulting in more streamlined, efficient support services for investigators. DISCUSSION/SIGNIFICANCE: Diverse study populations and DE&I are essential to research. This collaborative, community-engaged recruitment approach by our programs allows investigators to leverage both programs’ resources and expertise. We continue to identify best practices and study types that benefit from this collaborative approach to improve our services.

Objectives/Goals: A summer research program for medical students was implemented using real-world evidence (RWE) – electronic health record (EHR) databases to develop and answer research questions. Medical students were trained in capabilities of traversing the large RWE-EHR so they may query, extract, and analyze data as well as refine their research questions. Methods/Study Population: Ten medical students and 9 non-data scientist mentors underwent training in how to use the IU School of Medicine-Evansville RWEdataLab (CRC/Sidus Insights) national real-world cardiology and psychiatry deidentified EHR databases. The program began with students attending introductory training teaching database, spreadsheet, and statistical program usage. During the remainder of the program, a weekly best practices meeting took place among mentors and a weekly cohort meeting of students and mentors discussed student presented findings. At the end of the program, students generated abstracts and poster or podium presentations to share their findings at local symposia. A survey was also distributed to students to assess the impact of the tools, trainings, and program. Results/Anticipated Results: All students were able to define a question of interest, query and extract data related to their research question, and analyze multiple aspects of their data. Projects were well received at local symposia, with 2 receiving special honors, and 2 projects have been presented at regional/national conferences. Students rated the program highly and were likely to recommend the program to other students. They self-rated improvements in asking scientific questions, using excel, data presentations, and problem-solving. Students valued weekly “check-in” meetings and interactions with mentors more than lectures or technical “help desk” support. Discussion/Significance of Impact: The program provides mechanisms for non-data scientists and medical trainees, to learn and access RWE-EHR databases to address research questions. The cohort interactions fostered discussion among mentors and students promoting research question refinement and clarity findings. The program also introduces a new tool for potential patient care.

OBJECTIVES/GOALS: To summarize baseline characteristics and risk factors for major adverse cardiovascular events (MACEs) and develop a prediction model by testing the association between genetic variants and MACEs in Caribbean Hispanic patients on clopidogrel using machine-learning (ML) techniques. METHODS/STUDY POPULATION: This is a secondary analysis of available clinical and genomic data from an existing database of 600 Caribbean Hispanic cardiovascular (CV) patients on clopidogrel. MACEs is defined as the composite of all-cause death, myocardial infarction, stroke and stent thrombosis over 6 months. Dataset is divided into training (60%) and testing (40%) sets, respectively. Two different supervised ML approaches (i.e. multiclass classification and regression algorithms) are applied to the study dataset using Python v3.5 and WEKA, and tested by receiver operating curve (ROC) analysis. A case-control association analysis between MACEs at 6 months and genotypes is performed by using chi-squared test. RESULTS/ANTICIPATED RESULTS: Average age of participants was 68 years-old, 55% males, with high prevalence of risk factors (i.e., overweight: 28.4 kg/m2; hypertension: 83.8%; hypercholesterolemia: 71.9% and diabetes: 54.8%). MACEs rate is 13.8%, with 33.5% resistant to clopidogrel. Logistic regression, KNN and gradient boosting showed the best performance, as suggested by ROC analysis and AUC CV scores of 0.6-0.7. A significant association between MACE occurrence and ≥3 risk alleles was found (OR=8.17; p=0.041). We anticipate that these genetic variants (CYP2C19*2, rs12777823, PON1-rs662, ABCB1-rs2032582, PEAR1-rs12041331) will uniquely contribute to clopidogrel resistance and MACEs in Caribbean Hispanics. DISCUSSION/SIGNIFICANCE: Our findings help address in part the long-standing problem of excluding minorities from research, which entails a gap of knowledge about clopidogrel pharmacogenomics in Puerto Ricans. This study provides a possible ML model that integrates clinical and pharmacogenomics for MACE risk estimation.

OBJECTIVES/SPECIFIC AIMS: The need to diversify the biomedical research workforce is well documented. The Career Education and Enhancement for Health Care Research Diversity (CEED) program at the University of Pittsburgh Institute for Clinical Research Education (ICRE) promotes success and helps seal the “leaky pipeline” for under-represented background (URB) biomedical researchers with a purposefully designed program consisting of a monthly seminar series, multilevel mentoring, targeted coursework, and networking. METHODS/STUDY POPULATION: Over 10 program years, we collected survey data on characteristics of CEED Scholars, such as race, ethnicity, and current position. We created a matched set of URB trainees not enrolled in CEED during that time using propensity score matching in a 1:1 ratio. RESULTS/ANTICIPATED RESULTS: Since 2007, CEED has graduated 45 Scholars. Seventy-six percent have been women, 78% have been non-White, and 33% have been Hispanic/Latino. Scholars include 20 M.D.s and 25 Ph.D.s. Twenty-eight CEED Scholars were matched to non-CEED URB students. Compared with matched URB students, CEED graduates had a higher mean number of peer-reviewed publications (9.25 vs. 5.89; p<0.0001) were more likely to hold an assistant professor position (54% vs. 14%; p=0.004) and be in the tenure stream (32% vs. 7%; p=0.04), respectively. There were no differences in Career Development Awards (p=0.42) or Research Project Grants (p=0.24). DISCUSSION/SIGNIFICANCE OF IMPACT: Programs that support URB researchers can help expand and diversify the biomedical research workforce. CEED has been successful despite the challenges of a small demographic pool. Further efforts are needed to assist URB researchers to obtain grant awards.

OBJECTIVES/GOALS: We focus on the following mission aligned activities centered upon optimizing the culture around inclusion, equity and diversity in the clinical and translational research faculty at UAB:

• To identify, support and promote Diversity, Equity and Inclusion (DEI) faculty award recognition and leadership program participation locally, regionally and nationally

• To identify, support and promote senior faculty representation on DEI-focused regional, national, and international scientific advisory committees of foundation, professional society and federal programs

• To identify opportunities and support the development of competitive DEI-focused foundation, professional society and federal grant applications

• To support the academic advancement, promotion and tenure among DRIVEN community

• To sponsor and convene professional development and social activities for the DRIVEN community

METHODS/STUDY POPULATION: A partnership of the Center for Clinical and Translational Science Training Academy and the Scientific Community of Outcomes Researchers (SCOR), DRIVEN is a multi-faceted solution to enhance workforce diversity by promoting individual and collective professional development, recognition, and advancement to foster an inclusive, equitable, and diverse research workforce. DRIVEN provides a platform, a community, and a common place where individuals can access resources to more easily identify opportunities aligned with their specific research goals, as well as peer and network support at every step along their professional journey. DRIVEN is uniquely aligned to assist investigators with applying for funding through NIH diversity supplements, foundation opportunities, and other national awards. RESULTS/ANTICIPATED RESULTS: DRIVEN provides networking opportunities, information, and writing support for funding opportunities. Since its inception, less than a year ago, we have seen an increase in writing groups, matched investigators with funding opportunities, and provided networking opportunities for mentors and mentees to meet and for peer mentoring to occur. The interest and momentum surrounding DRIVEN both from internal advisory groups and external advisory groups is significant and will only continue with the endorsement of UAB leadership. DRIVEN is expected to be used as a tool for the recruitment and retention of diverse faculty not only within the UAB community but across the CCTS Partner Network thus changing healthcare in the region. DISCUSSION/SIGNIFICANCE OF IMPACT: According to the NIH, research shows that diverse teams who capitalize on innovative ideas and distinct perspectives outperform less diverse teams. Not only is achieving diversity in the biomedical research workforce critical, but providing diverse researchers with access to support and community is competitive necessity.

OBJECTIVES/SPECIFIC AIMS: This retrospective study aims to create and train machine learning models using a radiomic-based feature extraction method for two classification tasks: benign vs. pathologic PI and operation of benefit vs. operation not needed. The long-term goal of our study is to build a computerized model that incorporates both radiomic features and critical non-imaging clinical factors to improve current surgical decision-making when managing PI patients. METHODS/STUDY POPULATION: Searched radiology reports from 2010-2012 via the UPMC MARS Database for reports containing the term “pneumatosis” (subsequently accounting for negations and age restrictions). Our inclusion criteria included: patient age 18 or older, clinical data available at time of CT diagnosis, and PI visualized on manual review of imaging. Cases with intra-abdominal free air were excluded. Collected CT imaging data and an additional 149 clinical data elements per patient for a total of 75 PI cases. Data collection of an additional 225 patients is ongoing. We trained models for two clinically-relevant prediction tasks. The first (referred to as prediction task 1) classifies between benign and pathologic PI. Benign PI is defined as either lack of intraoperative visualization of transmural intestinal necrosis or successful non-operative management until discharge. Pathologic PI is defined as either intraoperative visualization of transmural PI or withdrawal of care and subsequent death during hospitalization. The distribution of data samples for prediction task 1 is 47 benign cases and 38 pathologic cases. The second (referred to as prediction task 2) classifies between whether the patient benefitted from an operation or not. “Operation of benefit” is defined as patients with PI, be it transmural or simply mucosal, who benefited from an operation. “Operation not needed” is defined as patients who were safely discharged without an operation or patients who had an operation, but nothing was found. The distribution of data samples for prediction task 2 is 37 operation not needed cases and 38 operation of benefit cases. An experienced surgical resident from UPMC manually segmented 3D PI ROIs from the CT scans (5 mm Axial cut) for each case. The most concerning ~10-15 cm segment of bowel for necrosis with a 1 cm margin was selected. A total of 7 slices per patient were segmented for consistency. For both prediction task 1 and prediction task 2, we independently completed the following procedure for testing and training: 1.) Extracted radiomic features from the 3D PI ROIs that resulted in 99 total features. 2.) Used LASSO feature selection to determine the subset of the original 99 features that are most significant for performance of the prediction task. 3.) Used leave-one-out cross-validation for testing and training to account for the small dataset size in our preliminary analysis. Implemented and trained several machine learning models (AdaBoost, SVM, and Naive Bayes). 4.) Evaluated the trained models in terms of AUC and Accuracy and determined the ideal model structure based on these performance metrics. RESULTS/ANTICIPATED RESULTS: Prediction Task 1: The top-performing model for this task was an SVM model trained using 19 features. This model had an AUC of 0.79 and an accuracy of 75%. Prediction Task 2: The top-performing model for this task was an SVM model trained using 28 features. This model had an AUC of 0.74 and an accuracy of 64%. DISCUSSION/SIGNIFICANCE OF IMPACT: To the best of our knowledge, this is the first study to use radiomic-based machine learning models for the prediction of tissue ischemia, specifically intestinal ischemia in the setting of PI. In this preliminary study, which serves as a proof of concept, the performance of our models has demonstrated the potential of machine learning based only on radiomic imaging features to have discriminative power for surgical decision-making problems. While many non-imaging-related clinical factors play a role in the gestalt of clinical decision making when PI presents, we have presented radiomic-based models that may augment this decision-making process, especially for more difficult cases when clinical features indicating acute abdomen are absent. It should be noted that prediction task 2, whether or not a patient presenting with PI would benefit from an operation, has lower performance than prediction task 1 and is also a more challenging task for physicians in real clinical environments. While our results are promising and demonstrate potential, we are currently working to increase our dataset to 300 patients to further train and assess our models. References DuBose, Joseph J., et al. “Pneumatosis Intestinalis Predictive Evaluation Study (PIPES): a multicenter epidemiologic study of the Eastern Association for the Surgery of Trauma.” Journal of Trauma and Acute Care Surgery 75.1 (2013): 15-23. Knechtle, Stuart J., Andrew M. Davidoff, and Reed P. Rice. “Pneumatosis intestinalis. Surgical management and clinical outcome.” Annals of Surgery 212.2 (1990): 160.

ABSTRACT IMPACT: We present new programs aimed at training, retaining and preparing a diverse cadre of scientists to lead the field in transforming population health and advancing health equity OBJECTIVES/GOALS: To mitigate biases inherent to the R01 grant funding process, trainees from backgrounds underrepresented in medicine (URM) may benefit from enhanced mentorship and a longer ‘runway’ to funding. As such, we have deployed two synergistic programs that aim to support URM retention and advancement. METHODS/STUDY POPULATION: The URM Program for Advising in Research and Development (UPwARD) pairs URM trainees with 2 mentors: 1) an institutional leader from outside their discipline to serve as an internal advocate and 2) an external eminent scholar who will facilitate the scholar’s development and prominence within their discipline. Additionally, the KL2 Program to Launch URM Success (KL2 PLUS) offers URM trainees a third year of funding to focus on scholarship, grant writing and leadership development. Four specific training components of KL2 PLUS include: 1) PLUS II Seminar Series, 2) Faculty Success Program, 3) attendance at the AAMC Minority Faculty Leadership Conference, and 4) CTSI Committee Service. RESULTS/ANTICIPATED RESULTS: Along with measures of productivity (papers, grants, K to R transition), we will utilize social network analyses and measures of collaboration, retention, and future CTSI engagement to evaluate the programs “success’‘ as both are designed to enhance trainee scholarly development and expand their professional and social networks. UPwARD does so by supporting engagement with external mentors at professional meetings and travel to present work across institutions. PLUS writing accountability groups will enhance publication rates and grant submissions, while also building connections with other URM faculty. Trainees also serve on IN CTSI committees to groom talent for future IN CTSI leadership. DISCUSSION/SIGNIFICANCE OF FINDINGS: Systemic inequities underlie the ‘leaky pipeline’ challenge we face in cultivating a diverse cadre of senior scientists and independent investigators. With intentional programming and targeted investments, IN CTSI aims to advance more equitable funding outcomes and diverse leadership.

OBJECTIVES/SPECIFIC AIMS: Epidemiologic studies have found that the incidence of pancreatic cancer is greatest in countries that consume diets high in fat. The gastrointestinal peptide cholecystokinin (CCK) is released from the duodenum in response to dietary fat. CCK has also been shown to stimulate growth of pancreatic cancer through the CCK receptor that is over-expressed on pancreatic cancer cells. The aim of this investigation was to determine if dietary fat promotes growth of pancreatic cancer through the actions of CCK at its receptor. METHODS/STUDY POPULATION: The effects of dietary fat on growth of murine Panc02 pancreatic cancer xenografts were studied in 3 different systems with immune competent mice: (1) pharmacologic blockade with a CCK receptor antagonist, (2) genetic knockout of the CCK receptor by CRISPR, and (3) in genetically engineered mice lacking the CCK peptide (CCK-KO). After injection of 2×106 Panc02 cells subcutaneously, mice were fed either a high-fat diet or a control diet for 37–42 days. Tumor volumes and weights were measured and histology performed. RESULTS/ANTICIPATED RESULTS: Dietary fat significantly increased the size of pancreatic cancer xenografts and this effect was reversed by CCK receptor blockade. Receptor antagonist therapy also significantly reduced tumor-associated fibrosis and increased the influx of CD8+ lymphocytes in the micro-environment. Panc02 cancer cells lacking CCK receptors failed to respond exogenous administration of CCK in vitro and to dietary fat in vivo. Dietary fat did not stimulate Panc02 tumor growth in CCK-KO mice. DISCUSSION/SIGNIFICANCE OF IMPACT: The mechanism by which dietary fat stimulates growth of pancreatic cancer is by CCK and this effect is independent of obesity. This is a significant finding because of the potential beneficial effects of medications which can block the effects of CCK in populations at risk for pancreatic cancer consuming a high-fat diet.

Evidence is limited on how to synthesize and incorporate the views of stakeholders into a multisite pragmatic trial and how much academic teams change study design and protocol in response to stakeholder input. This qualitative study describes how stakeholders contributed to the design, conduct, and dissemination of findings of a multisite pragmatic clinical trial, the COMprehensive Post-Acute Stroke Services (COMPASS) Study. We engaged stakeholders as integral research partners by embedding them in study committees and community resource networks that supported local sites. Data stemmed from formal focus groups and continuous participation in working groups. Guided by Grounded Theory, we extracted themes from focus group and meeting notes. These were discussed as a team and with other stakeholder groups for feasibility. A consensus approach was used. Stakeholder input changed many aspects of the study including: the care model that treated stroke as a chronic condition after hospital discharge, training for hospital-based providers who often lacked awareness of the barriers to recovery that patients face, support for caregivers who were essential for stroke patients’ recovery, and for community-based health and social service providers whose services can support recovery yet often go underutilized. Stakeholders brought value to both pragmatic research and health service delivery. Future studies should test the impact of elements of study implementation informed by stakeholders vs those that are not.

The first human case of monkeypox virus (Mpox) was reported in 1970. In the years after 1970, human infection with Mpox and human-to-human transmission was not widely observed, and more cases were seen in endemic areas. In that year, Mpox spread was confirmed through the export of infected animals to other parts of the world. Every few years, sporadic infections were reported in different parts of the world from human contamination and human-to-human transmission. In recent years, with the slow decline of the COVID-19 pandemic, the outbreak of Mpox was observed in many countries of the world. To deal with the spread of this viral infection, we need to know the ways to diagnose the infection, treat the infection, care for the patients, and implement a wide program of vaccination. Currently, there are no specific drugs available for this virus, but according to previous studies related to smallpox, drugs such as tecovirimat, cidofovir, and brincidofovir, which were used for smallpox and other orthopoxviruses in the past, can be considered to deal with Mpox. Also, some vaccines such as JYNNEOS, IMVAMUNE, and MoVIHvax that have been used against smallpox can be useful to some extent in preventing Mpox.

The attitudes toward genomics and precision medicine (AGPM) measure examines attitudes toward activities such as genetic testing, gene editing, and biobanking. This is a useful tool for research on the ethical, legal, and social implications of genomics, a major program within the National Institutes of Health. We updated the AGPM to explore controversies over mRNA vaccines. This brief report examines the factor structure of the updated AGPM using a sample of 4939 adults in the USA. The updated AGPM’s seven factors include health benefits, knowledge benefits, and concerns about the sacredness of life, privacy, gene editing, mRNA vaccines, and social justice.

The Centers for Medicare & Medicaid Services have mandated that hospitals implement measures to screen social determinants of health (SDoH). We sought to report on available SDoH screening tools. PubMed, Scopus, Web of Science, as well as the grey literature were searched (1980 to November 2023). The included studies were US-based, written in English, and examined a screening tool to assess SDoH. Thirty studies were included in the analytic cohort. The number of questions in any given SDoH assessment tool varied considerably and ranged from 5 to 50 (mean: 16.6). A total of 19 SDoH domains were examined. Housing (n = 23, 92%) and safety/violence (n = 21, 84%) were the domains assessed most frequently. Food/nutrition (n = 17, 68%), income/financial (n = 16, 64%), transportation (n = 15, 60%), family/social support (n = 14, 56%), utilities (n = 13, 52%), and education/literacy (n = 13, 52%) were also commonly included domains in most screening tools. Eighteen studies proposed specific interventions to address SDoH. SDoH screening tools are critical to identify various social needs and vulnerabilities to help develop interventions to address patient needs. Moreover, there is marked heterogeneity of SDoH screening tools, as well as the significant variability in the SDoH domains assessed by currently available screening tools.

OBJECTIVES/GOALS: To identify insights and challenges in community engaged research for the academy and community. To develop an online platform to match academic and community partners; promote networking; and provision of key resources. METHODS/STUDY POPULATION: Using a human-centered design approach, 19 interviews were conducted with academics, community organizations and members, and other CTSAs. The interviews focused on understanding CEnR challenges and processes in partnership formation. RESULTS/ANTICIPATED RESULTS: Findings revealed the following 10 challenges to and insights about CEnR: (1) time intensive; (2) lack of knowledge; (3) differing motivations; (4) connections occur through networking; (5) topic area, proximity, and readiness influence partnerships; (6) organizational turnover; (7) promotion pressure; (8) collaboration throughout; (9) navigator for partnership; and (10) lack of shared language. Also, a CEnR system flowchart revealed the following five phases of an effective partnership: 1) generating interest; 2) learning process; 3) connecting with the right partner; 4). Defining the research question; and 5) implementing research as a partnership. DISCUSSION/SIGNIFICANCE: In conclusion, input from academicians and community members support the need for an online platform like M-REACH to facilitate CEnR partnerships, networking, and resources to address significant public health issues through translational research.

ABSTRACT IMPACT: The Wake Forest School of Medicine Mentor Academy has adapted to provide continued effective and relevant formal mentoring training to translational researchers in a virtual format, to improve mentoring and provide effective mentor-mentee communication tools. OBJECTIVES/GOALS: To determine whether the WFSM Mentor Academy (MA), an effective long-standing mentoring program for research faculty, is compromised after moving from an in-person to an online format as a result of COVID-19 restrictions. METHODS/STUDY POPULATION: A vetted National Research Mentoring Network (NMRN) implemented at WFSM addresses 6 major competencies (Effective Communication, Aligning Expectations, Assessing Understanding, Addressing Equity/Inclusion, Fostering Independence, Promoting Professional Development) over 6 months with 10 sessions (20 contact hrs). COVID-19 required that the MA (13 participants) move to an online format after 3 (out of 10) in-person sessions. We survey 26 self-rated mentoring competencies pre- and post MA, based on a numerical 7-point scale (abstract published for ACTS 2020) and, in 2020, included additional assessments of online versus in-person MA satisfaction/effectiveness and perceived impact on abilities of MA participants to mentor in an exclusively virtual format. RESULTS/ANTICIPATED RESULTS: All 13 participants responded to the survey and rated the online format as effective (9) or somewhat effective (4) for learning content. However, for participant interactions, only 4 found it effective and 9 somewhat effective. When assessing ability to mentor in a virtual format, most negatively affected competencies were ‘helping your mentee network effectively’ (7 of 13), ‘motivating your mentee’ (7), and ‘identifying and accommodating different communication styles’ (6). Goal setting (research goals, career goals) was rated easier under COVID-19 restrictions by 3 mentors. Increases in Pre-Post self-expressed mentoring effectiveness (+1 pt quality; +1 pt meeting mentee expectations) are similar to historical values, and 12 of the 13 mentors changed mentoring practices based on MA experiences. DISCUSSION/SIGNIFICANCE OF FINDINGS: While 2020 ratings for increased effectiveness are similar to prior years, since the 2021 MA will remain online, we will adjust content to address challenges identified in training mentors and in mentoring trainees in virtual settings by strategies to keep MA participants engaged online and sharing new resources for virtual/hybrid format mentoring.

OBJECTIVES/SPECIFIC AIMS: Incomplete spinal cord injury (iSCI) is a life-long disability that typically results in a profound loss of locomotion capability. Current rehabilitation methods rarely restore full community ambulation, which in turn limits quality of life. Most individuals with iSCI exhibit persistent deficits in eccentric muscle control and reach recovery plateaus below the levels necessary for independent community ambulation. Eccentric motor control is essential during the weight acceptance phase of gait, which is emphasized during downhill walking. METHODS/STUDY POPULATION: The overground locomotion of subjects with chronic iSCI was analyzed both prior to and following a 12-week downhill body-weight-supported treadmill training regimen and compared to that of matched healthy controls in terms of kinematics, kinetics, and EMG activation. RESULTS/ANTICIPATED RESULTS: We expect to find significant differences between the controls and subjects with iSCI, with deficits in eccentric motor control accounting for some of these differences. In addition, we expect the downhill training to yield significant improvement in eccentric muscle control that translates into improvements in functional, overground walking for the subjects with iSCI. DISCUSSION/SIGNIFICANCE OF IMPACT: The goal is to determine if downhill training can improve eccentric motor control and extend recovery beyond established plateaus. OpenSim modeling of the experimental data will help quantify changes in eccentric control of individual muscles to clarify where specific gains are made.

OBJECTIVES/SPECIFIC AIMS: Sexual violence (SV) is a public health crisis. High rates of SV are observed among college-age youth, yet holistic interventions are currently lacking. The purpose of this study was to conduct a pilot feasibility and acceptability test of a WebApp, MKit, which translates a clinical life skills approach to influence the health and well-being of university students. METHODS/STUDY POPULATION: We randomized two residence halls at a public university in the Midwest into a control group (n=139) that received typical university programming around SV and healthy relationships, or an intervention group (n=122) receiving MKit and the usual SV programming. We used online surveys to assess acceptability, feasibility, and usability at 3- and 5-months. Focus groups were conducted with a subsample of participants at 5-months to further investigate safety. RESULTS/ANTICIPATED RESULTS: The mean number of uses of MKit was 2.84 in a 5-month period. The majority of intervention participants endorsed the acceptability and usability of MKit as easy to use, well integrated, accessible, and easy to learn quickly. There were no concerns regarding personal safety. DISCUSSION/SIGNIFICANCE OF IMPACT: MKit provides a promising resource platform to deliver messages regarding healthy relationships and SV within the university context. By delivering SV-related content through a holistic life skills approach, MKit may offer new opportunities to reach and engage a wide range of students on how to foster healthy relationships.

ABSTRACT IMPACT: We report a novel metric for assessing clinical informatics fellows relative to their personal goals, using standardized milestones that have been approved for the field by ACGME. OBJECTIVES/GOALS: ACGME has defined 20 milestones that serve as the goals for fellows in clinical informatics. Each fellow is rated from 1 to 5 on the achievement of each milestone, where 1 is entry-level, 4 is the level expected of a graduating fellow, and 5 is aspirational. We assessed fellows’ progress toward the personal goal levels that they set for each milestone. METHODS/STUDY POPULATION: At the start of the fellowship, we asked each fellow to rate the personal target levels that they want to achieve for each milestone. Since the default target level of achievement for a graduating fellow is a 4, we asked fellows to document exceptions from this target. We calculated a metric for each fellow’s achievement of each milestone as their achievement rating (assigned by mentors and rotation leaders during the semi-annual Clinical Competency Committee meeting) divided by the fellow’s desired level of achievement. In summarizing across the milestones, we counted those milestones having achievement metrics >=1.0 as ‘achieved,’ and then for milestones that were not achieved, we calculated an average for the fellow. RESULTS/ANTICIPATED RESULTS: As of June, 2020, our two graduating 2nd-year fellows had fully met 9/20 and 18/20 milestones, respectively. For the unmet milestones they averaged 81% and 85% achievement. The largest shortfalls were 75% achievements in Assessing User Needs for one fellow, and in Recognition of Errors for the other. One of our three 1st-year fellows had fully met 3/20 milestones; the other two had met none at 1st-year’s end. For unmet milestones, the 1st-year fellows’ average achievement metrics were 69%, 67%, and 52%. The greatest shortfalls were in Resource Utilization (creating job descriptions, budgeting etc.) and in Communication with Patients and Families. However, the rotations that would expose them to project management and to patient-facing systems such as MyChart come in our 2nd-year. DISCUSSION/SIGNIFICANCE OF FINDINGS: Assessing milestones met plus the percent achievement for those not yet met provides a useful metric for comparing fellows and identifying areas in need of more training. Although milestones will soon change to reflect the recent practice analysis for clinical informatics, we expect that this approach to assessing fellows will remain equally useful.

OBJECTIVES/GOALS: The Mission: Health Equity Challenge Series is a four-part multimedia, interdisciplinary series that raises awareness about health disparities and health equity, cultivates environments for collaboration, and encourages participants to apply learnings via film screenings, a book discussion, community research panel, and un-meeting. METHODS/STUDY POPULATION: Methods used to collect data include: REDCap for participant profile storage and surveys, Zoom polls and chats, and informal, unsolicited feedback from e-mail communications. Our primary study population includes researchers and healthcare professionals. Secondary populations include: administrative staff and community members. We had approximately 500 individuals, across four of our hospital institution stakeholders (Cleveland Clinic, University Hospitals, MetroHealth, and the VA Northeast Ohio Health Care System), the community at-large, and others from CTSA hubs and related entities participated in one or more of the challenges. RESULTS/ANTICIPATED RESULTS: We anticipate that participants in the Mission: Health Equity Challenge Series, whether they participated in one or more of the challenges, will gain increased awareness about health disparities and how research can help close preventable gaps in health outcomes amongst underserved communities as well as advance health equity. Additionally, we suspect that due to the diverse nature of each challenge and attraction of nontraditional audiences to spaces with researchers and healthcare professionals, we will foster environments where cross-institutional, interdisciplinary collaboration can thrive. This is the type of collaboration needed to address complex problems that prevent health equity. DISCUSSION/SIGNIFICANCE: This challenge series elevates the relationship between advancing health equity and clinical and translational science and is one way to create opportunities for the existing research community to meet and collaborate with individuals that are not typically included in the ideation, design, implementation, and dissemination of research.