OBJECTIVES/GOALS: Clinical and translational science needs to address roadblocks to translational processes. We conducted a survey at two institutions, a private medical school and a large public university, to understand the frequency and distribution of barriers and roadblocks to research. METHODS/STUDY POPULATION: We reviewed the literature to compile a pool of barriers and roadblocks and convened a panel of relevant stakeholders to develop a 20-item questionnaire. Survey respondents were asked to select and prioritize the five leading clinical and translational roadblocks, provide information regarding their academic degrees and rank/position, complete open-ended items regarding their areas of research, and optionally add additional remarks in a comment box. The survey was disseminated in August 2022 via REDCap to faculty and staff with active research protocols at Baylor College of Medicine and the University of Houston. RESULTS/ANTICIPATED RESULTS: In total, 227 respondents completed the survey. Their disciplines were basic science (29.5%), translational research (52.9%), clinical research (55.5%), community-engaged research (9.7%), and educational research (9.7%). Respondents identified 1) lack of access to trained research coordinators, 2) lack of understanding about different resources that facilitate research, 3) complex regulatory environment and delays, 4) fragmented infrastructure for administrative and fiscal processes, and 5) inadequate funding for pilot projects to foster new research. Other roadblocks included lack of established community stakeholder partnerships, inadequate access to medical record data, and limited biostatistical support. In the comments, several respondents noted that all items included were important. DISCUSSION/SIGNIFICANCE: Research workforce recruitment/training was the highest priority followed by lack of access to information and administrative bottlenecks. We are building an online portal to increase awareness and simplify access to competency-based training and research services. Initiatives are underway to address other roadblocks.

OBJECTIVES/GOALS: Frontiers CTSI developed applications to ensure its science teams have technological tools to advance their community engagement and trial management. The Trial Finder app is a mobile application that allows users to navigate available trials. The Accrual app will help study teams monitor their recruitment performances in real time. METHODS/STUDY POPULATION: The Data Science team at the University of Kansas Medical Center (KUMC) had previously developed similar applications for The University of Kansas Cancer Center. Both retrieve information from KUMC’s clinical trial management system and ClinicalTrials.gov. This was replicated to include KUMC Pulmonary Critical Care (PCC) and KUMC Neuromuscular (NM) trials. Frontiers CTSI is working with both groups for piloting and feedback. Recruiting and marketing strategies for investigators to add their trials to both apps will be done through existing communication channels and be highlighted on Frontiers trial resource website. Recruiting and marketing strategies of the Frontiers Trial Finder app to the external community will have a focus on, but not limited to, paid social media advertising. RESULTS/ANTICIPATED RESULTS: The Trial Finder app can help providers search for trials their patient may be eligible for during clinic visits and to engage with the community by allowing anyone to download and browse on their Android/iOS device. Built in REDCap forms are used to capture contact information. The Accrual app is a web-based application that helps study teams monitor their recruitment performances in real time and provide an opportunity to adjust strategies. It uses an in-house algorithm to predict if trials will meet timeline goals. This data is conveniently laid out on a single web page so that science teams can overview all their trials’ recruitment performances simultaneously. The next phase of developing these applications is to market their use within Frontiers CTSI and its community catchment area. DISCUSSION/SIGNIFICANCE: Through collaboration, Frontiers CTSI is developing resources to support community engagement and trial management. New innovative applications like these ensure all the main stakeholders involved with clinical trial execution are always engaged and have access to iterative contemporary technologies that support their research.

OBJECTIVES/GOALS: Childhood Sjögren’s disease (cSD) is a rare autoimmune disease. Despite the profound impact on children and their families, pediatric-specific clinical trials to inform therapeutic strategies in cSD are lacking. In 2022 we participated in the Trial Innovation Network (TIN) Design Lab with the purpose of designing a series of N-of-1 trials for cSD. METHODS/STUDY POPULATION: New medications have the potential to be safe/effective treatments for cSD but must be evaluated in randomized trials. To overcome limitations of traditional parallel-group designs given the rarity of cSD, we developed an N-of-1 trial approach. Our proposal was selected by the Tufts TIN Design Lab. The Design Lab multi-stakeholder process involved parents of and patients with cSD, pediatric and adult rheumatologists, and experts in clinical trial design and outcomes. We engaged all stakeholders in protocol development to maximize the impact of the proposed approach on clinical care, ensure a successful recruitment plan, and inform the choice of endpoints as there are no widely accepted cSD outcome measures to determine treatment efficacy. RESULTS/ANTICIPATED RESULTS: Using the Design Lab methodology, we clarified the N-of-1 study goals and engaged in an iterative process to develop a “briefing book” that ensured a sound premise for our study. We reviewed and accumulated published literature to support our focus on mucosal/glandular manifestations, identified potential interventions to be used in the N-of-1 trials, and enumerated possible outcomes, including outcomes important to patient/parents. This work culminated in a full-day Design Lab event that included multiple stakeholders who provided expertise from different perspectives on the full drug development pathway. Study design feedback focused on three specific areas. 1) Inclusion and exclusion criteria; 2) Identification of outcome measures; 3) Treatment and washout periods. DISCUSSION/SIGNIFICANCE: To address the critical need and move treatment of cSD forward, we are designing a prototype N-of-1 trial in children with rheumatic disease. We will continue to engage stakeholders by using a series of Delphi surveys and an in-person meeting to create composite outcome measures to test cSD therapies in personalized trials.

OBJECTIVES/GOALS: This theory analysis aims to evaluate a middle-range framework, the HSDF1, in the context of sexual assault stigma incorporating the myriad levels within within culture and society through which stigma can occur and be reinforced. METHODS/STUDY POPULATION: Databases: PubMed, CINAHL, EMBASE, Google Scholar, Organization websites, Citation searchesn = 32Mark Risjord’s “Middle-Range Theories as Models: New Criterion for Analysis and Evaluation” (2019) RESULTS/ANTICIPATED RESULTS: The innovative approach of the HSDF guides understanding of sexual assault stigma in a holistic way, incorporating individual and institutional stratum of the phenomenon. Understanding through integration of this theoretical framework alongside current knowledge may more succinctly inform trauma-informed care for survivors, policy, and cultural awareness for nurses, healthcare providers, police, social workers, and myriad others with whom survivors interact. DISCUSSION/SIGNIFICANCE: Applying the HSDF framework to sexual assault stigma could help break down barriers and raise survivors out of stigmatization, affecting population health through reduced negative health sequelae experienced by survivors.

OBJECTIVES/GOALS: To describe an Honest Broker (HB) tool and workflow integrated with the Institutional Review Board (IRB) to automate requests, approvals and delivery of both de-identified and identified data extractions from a clinical research data warehouse (CRDW). METHODS/STUDY POPULATION: The HB tool has predefined domain tables and is closely integrated IRB for quick and easy review and approval. Investigators can access patient data using query tools, barcodes from biospecimens or build a query in TriNetX and provide the patient list as an input for the HB tool. For de-identified data extraction, the required data domain tables and date ranges can be selected and submitted in the HB tool. For identified data extractions, investigators with an approved IRB protocol can enter the protocol number and the approved date range in the HB tool. This request is automatically forwarded to the IRB for review. RESULTS/ANTICIPATED RESULTS: For de-identified data extraction, an email alert is automatically sent to the investigator once the data extract is completed. For identified data extraction, if IRB approves the request, an HB is immediately notified to release the data. Data release triggers two emails to the investigator: (1) a link to an encrypted zipped file with the requested data, and (2) a password to unlock the encrypted file. If the request is denied, the IRB sends an email to the investigator with the reason for denial and options for remediation. The entire HB workflow is accomplished in a secure environment with an audit trail from the initial data request to data download by the investigator. Since the launch of the HB tool, the time from data request to delivery is approximately an hour for deidentified data and 24 hrs for identified data. DISCUSSION/SIGNIFICANCE: The HB tool has increased successful data delivery in support of publications, grant submissions, and clinical trial recruitment. Optimization of data extraction from the CRDW through automation and integration with the IRB can minimize interaction with data analysts and IRB staff, thus accelerating the conduct of clinical research.

OBJECTIVES/GOALS: Incorporating health equity, diversity, and inclusion (HEDI) development during community advisory board meetings is essential for ensuring that perspectives of all community members are considered, that health research is centered on the experiences of historically marginalized groups, and organizational strategies align with the community. METHODS/STUDY POPULATION: All IN for Health is a public engagement program that promotes health and research literacy, seeking to increase the public’s understanding of the role and value of research in improving health. It is guided by an active CAB providing advice on strategic directions, feedback to all efforts, contributing ideas, priorities, and most importantly, accountability. In 2023, ALL IN for Health started to incorporate HEDI professional development during staff team meetings and most recently, into our quarterly CAB meetings. Initially, the CAB was asked to provide feedback about talks and potential presentations related to health-research, sponsored, and shared by All IN for Health. During this exercise, board members were asked to provide HEDI topics of interest. Their responses informed a plan for team and board members. RESULTS/ANTICIPATED RESULTS: Some of the topics suggested by board members include: understanding health equity in relation to research studies and protocols, and topics specific to health research such as: health care access for rural areas and vulnerable populations, culture-based attitudes and beliefs and how they impact decisions related to health care, being aware of limitations certain communities have and what they may not have access to. The initiative was positively received and unanimously adopted. We hope to introduce the HEDI integration model for CABs at this conference. (Conceptual Model attached). DISCUSSION/SIGNIFICANCE: It is important to learn and grow alongside our community members. Such practice is bound to sustain partnerships that promote health equity, and exemplify meaningful community engagement, bidirectional learning, and a shared leadership model. By consistently incorporating and prioritizing HEDI, HAB can contribute to more equitable initiatives.

OBJECTIVES/GOALS: The primarygoal is to understand the challenges and barriers associated with the procurement of innovative technologies.Specifically, our research will answer the following question: what are the minimal requirements for a startup’s solution to beprocuredby anOntariohealthcare institution? METHODS/STUDY POPULATION: Participants will include procurement professionals at startups, healthcare institutions, and procurement facilitating agencies. Semi-structured interviews will be conducted in order to understand different procurement pathways and the possible procurement related gaps or barriers that startups face. Through qualitative ethnographic methods, participant interviews will characterize existing relationships and examine the rationale behind startup procurement decision-making. Data collection will include recordings, verbatim transcripts, and researcher field notes. Through inductive qualitative analysis, the data will be examined to build an intervention to assist in startup procurement. RESULTS/ANTICIPATED RESULTS: Our investigation will yield insight into expectations between hospital procurement requirements and startup procurement. The qualitative analysis will identify targets for engagement, and appropriate actors that can bridge gaps. Our results will identify pathways for procurement and the minimal procurement requirements to aid startup procurement planning. Our research will support innovators by delivering an intervention that will enable easier implementation of market ready solutions in a Canadian context. In line with principles from the National Center for Advancing Translational Sciences, this research can be used towards enhancing efficiency, speed of translation, and innovation. DISCUSSION/SIGNIFICANCE: We will contextualize the needs of start-ups and empower them to understand their procurement ecosystem. Facilitating better navigation of the procurement space allows for innovators to present solutions that healthcare organizations can adopt, resulting in improved clinical and patient outcomes.

OBJECTIVES/GOALS: This project focuses on investigating the potential of Simalikalactone D (SKD) as an anticancer agent, exploring the mechanisms underlying SKD’s induction of cell death, and assessing the impact of SKD on diverse breast cancer cell lines. Also, it Investigates the compound’s mechanisms of action beyond caspase 3-dependent pathways. METHODS/STUDY POPULATION: Three breast cancer cell lines were used: SKBR3, MDA-MB-231, and MDA-MB-468. Two triple-negative breast cancer cell lines are included to address cancer disparities across diverse ethnic backgrounds. Viability assays were conducted to determine half-maximal inhibitory concentrations (IC50). Caspase 3 activity assay was performed to evaluate apoptosis as a possible cell death pathway. Wound healing and colony formation assays are used to assess cell migration and clonogenic capacity. Proteomic analysis and phosphoarray analysis are planned for a deeper understanding of SKD’s anticancer properties, as well as testing for caspase 3 independent pathways. RESULTS/ANTICIPATED RESULTS: SKD demonstrated substantial cytotoxicity against all three breast cancer cell lines. IC50 values for SKBR3, MDA-MB-231, and MDA-MB-468 were 60.0 nM, 65.0 nM, and 116 nM, respectively. SKD induces cell death via caspase 3-independent pathways. Further experiments are needed to confirm and elucidate the molecular pathways being impacted. SKD inhibited cancer cell migration and clonogenic potential, suggesting it can reduce tumor growth and metastatic tendencies. DISCUSSION/SIGNIFICANCE: The study highlights SKD’s cytotoxicity across diverse breast cancer cell lines. It underscores the mechanism of action, a caspase 3 independent pathway. These findings hold promise for the development of innovative anticancer treatments and emphasize the importance of exploring varied cellular responses to mitigate global cancer disparities.

OBJECTIVES/GOALS: To evaluate the incidence of brachial plexus birth injury (BPBI) and its associations with maternal demographic factors. Additionally, we sought to determine whether longitudinal changes in BPBI incidence differed by maternal demographics. METHODS/STUDY POPULATION: We conducted a retrospective cohort study of over 8 million maternal-infant pairs using California’s Office of Statewide Health Planning and Development Linked Birth Files from 1991-2012. Descriptive statistics were used to determine BPBI incidence and the prevalence of maternal demographic factors (race, ethnicity, age). Multivariable logistic regression was used to determine associations of year, maternal race, ethnicity, and age with BPBI. Excess population level risk associated with these characteristics was determined by calculating population attributable fractions. RESULTS/ANTICIPATED RESULTS: The incidence of BPBI between 1991-2012 was 1.28 per 1000 live births, with peak incidence of 1.84 per 1000 in 1998 and low of 0.9 per 1000 in 2008. Incidence varied by demographic group, with infants of Black (1.78 per 1000) and Hispanic (1.34 per 1000) mothers having the highest incidences. Controlling for relevant covariates, infants of Black (AOR=1.88, 95% CI 1.70, 2.08), Hispanic (AOR=1.25, 95% CI 1.18, 1.32) and advanced-age mothers (AOR=1.16, 95% CI 1.09, 1.25) were at increased risk. Disparities in risk experienced by Black, Hispanic, and advanced-age mothers contributed to a 5%, 10%, and 2% excess risk at the population level, respectively. Longitudinal trends in incidence did not vary among demographic groups. Population-level changes in maternal demographics did not explain changes in incidence over time. DISCUSSION/SIGNIFICANCE: Although BPBI incidence has decreased in California, demographic disparities exist. Infants of Black, Hispanic, and advanced-age mothers are at increased BPBI risk compared to White, Non-Hispanic, and younger mothers.

OBJECTIVES/GOALS: To truly improve health equity and accessibility, we must develop a diverse and inclusive workforce. The BUILD EXITO program developed as a collaboration between a network of undergraduate programs and a CTSA hub and now has become a sustainable resource that will outlive NIH funding. We will disseminate our successful model. METHODS/STUDY POPULATION: The BUILD EXITO program has completed 10 years of NIH funding, a partnership between OCTRI and Portland State University (PSU), to create a new model of research training for underrepresented and disadvantaged students. This model provides an opportunity to learn about clinical and translational research academic careers; participate in a research enhancement and professional development curriculum;have a long-term authentic research experience; and receive enhanced mentorship. BUILD EXITO includes PSU, and local and 3 US Pacific territory 2-year colleges. We have developed a sustainable plan that includes these core elements after NIH support for the program ends. We have tracked long-term student outcomes for entry into graduate programs and the research workforce. RESULTS/ANTICIPATED RESULTS: We will describe the experimental model and the network of university and community colleges in BUILD EXITO, including PSU, U of Alaska, and colleges in US territories of Guam, Northern Mariana Islands, and American Samoa. All these universities and colleges have high proportions of underrepresented and disadvantaged students. We will present data on characteristics of the >600 students who have participated in BUILD EXITO to demonstrate the diversity of the cohort. We will also describe 4-year degree completion, engagement in the research workforce, and entry into graduate or professional programs. We will show how this has positively affected faculty inclusion of students in research, institutional policies at the 2-year and 4-year programs, and how this model has become sustainable. DISCUSSION/SIGNIFICANCE: The BUILD EXITO program developed as a collaboration of the CTSA hub at OHSU and a highly diverse undergraduate programs. We have developed a successful model for training a diverse research workforce and will disseminate this sustainable model.

OBJECTIVES/GOALS: Early life pain/stress impacts infants’ neurodevelopmental outcomes. Mitochondrial dysfunction may interface between infants’ stress and neurodevelopment. The study aims to investigate the associations between pain/stress, proteins associated with mitochondrial dysfunction, and neurobehavioral responses in preterm infants. METHODS/STUDY POPULATION: A prospective cohort study was conducted with 33 preterm infants enrolled between September 2017 and July 2022 at two affiliated NICUs in Hartford and Farmington, CT. Daily pain/stress experienced during NICU was documented. At 36-38 weeks post-menstrual age (PMA), neurobehavioral outcomes were evaluated using the NICU Network Neurobehavioral Scale (NNNS) and buccal swabs for Mass spectrometry-based proteomics analysis. Lasso statistical methods were conducted to study the association between protein abundance and infants’ NNNS summary scores. Multiple linear regression and Gene Ontology (GO) enrichment analyses were performed to examine how clinical characteristics and neurodevelopmental outcomes may be associated with protein levels and underlying molecular pathways. RESULTS/ANTICIPATED RESULTS: During NICU hospitalization, preterm premature rupture of membrane (PPROM) was negatively associated with neurobehavioral outcomes. The protein functions, including leptin receptor binding activity, glutathione disulfide oxidoreductase activity, and response to oxidative stress, lipid metabolism, phosphate, and proton transmembrane transporter activity, were negatively associated with neurobehavioral outcomes. In contrast, cytoskeletal regulation, epithelial barrier, and protection function were found to be positively associated with neurodevelopmental outcomes. In addition, mitochondrial dysfunction-related proteins (SPRR2A, PAIP1, S100A3, MT-CO2, PiC, GLRX, PHB2, and BNIPL-2, ABLIM1, UNC45A, Keratins, MUC1, and CYB5B) were found to be associated with neurobehavioral outcomes. DISCUSSION/SIGNIFICANCE: Mitochondrial dysfunction-related proteins were observed to be associated with early life pain/stress and neurodevelopmental outcomes in infants. Buccal proteins could be used to predict potential neurobehavioral outcomes. In addition, individualized skin integrity protection should be provided to preterm infants during their NICU stay.

OBJECTIVES/GOALS: To promote diverse research engagement and address health disparities by creating an inclusive tool to collect sexual orientation and gender identity (SOGI) data from potential participants #_msoanchor_1 METHODS/STUDY POPULATION: The Penn State Community Health Equity & Engagement in Research (CHEER) team, part of our Clinical and Translational Science Institute (CTSI), developed inclusive screening guidance to collect SOGI data from potential research participants to fill an identified gap in the literature. Guidance was developed through an iterative feedback process, leveraging expertise from local, regional, and national organizations, healthcare systems, and leaders throughout Clinical & Translational Science Award hubs. By eliciting expert feedback, CHEER co-developed a comprehensive SOGI data collection form, filling an important gap of inclusivity in the consenting process. Training of this new tool was delivered to CHEER’s far-reaching listserv researchers (internal and external) and community partners. RESULTS/ANTICIPATED RESULTS: Feedback collected from our LGBTQ+ expert partners resulted in a total of five inclusive SOGI screening questions; two ‘Gender Identity’ questions, one ‘Sexual Orientation’ question, and two ‘Sex’ questions, with “prefer not to answer” and “another option not listed” provided. The goal of this effort is to equip research teams with a tool that integrates SOGI characteristics that may be particularly important to determine study eligibility respective to a person’s identity or orientation. Additionally, collecting SOGI data in an inclusive way may increase trust worthiness in research from potential research participants, particularly among the LGBTQ+ community, who have been underrepresented yet experience several inequities and disparities across multiple health outcomes. DISCUSSION/SIGNIFICANCE: CHEER’s goal is to reduce health disparities in underrepresented populations, including the LGBTQ+ community, by promoting inclusivity and engagement in research. Developing a community-driven screening that addresses the unique needs of the LGBTQ+ community successfully bridges a gap in equity across all research participants.

OBJECTIVES/GOALS: While the evolving treatment paradigm for Glioblastoma (GBM) leverages different modalities to improve outcomes, treatment access might be limited by cost and disparities. This study explores the influence of race and social determinants of health (SDoH) on healthcare access and outcomes of GBM patients in a large metropolitan area over a decade. METHODS/STUDY POPULATION: Our institution’s tumor registry (2009-2019) was queried to identify our GBM cohort. Data were supplemented by electronic health records to include demographics, outcome, NCI Comorbidity Index, and the Agency for Healthcare Research and Quality (AHRQ) socioeconomic status (SES) index. RESULTS/ANTICIPATED RESULTS: Of the 559 GBM records, 361 unique patients met the inclusion criteria, and 43% were Non-White. Non-White patients predominantly comprised the lowest AHRQ SES index quartile and had longer hospital stays (LOS; p<0.001). White patients accounted for 61% of privately insured patients (p<0.001). Private insurance (p= 0.02) and age < 65 years (p= 0.039) were associated with a higher rate of home discharge. Patients diagnosed with GBM in the emergency department were more likely to be discharged to acute rehab than home (p<0.001). At 2 years, privately insured patients had longer OS (HR= 1.46; p= 0.04). DISCUSSION/SIGNIFICANCE: In contrast to previous studies, the study demonstrates that GBM affected a higher proportion of Non-White patients. Our data show that SDoH influences multiple outcomes in GBM patients. Efforts to identify and correct these barriers are needed to improve the care of all GBM patients.

OBJECTIVES/GOALS: Racial and ethnic minority populations have been historically underrepresented in clinical trials, which limits the external validity of study findings. We analyze data from the ACTIV-6 trial to assess whether inclusion efforts were effective in increasing participation from minority groups. METHODS/STUDY POPULATION: ACTIV-6 is a decentralized randomized placebo-controlled platform trial investigating repurposed drugs for the treatment of mild to moderate COVID-19. Study participants could either self-refer online or be recruited through a study site. Two inclusion efforts were introduced to increase participation from racial or ethnic minority populations: targeted advertising and outreach, and strategic selection of study sites that serve diverse populations. We assessed the effectiveness of these interventions by analyzing enrollment trends over time. We also assessed whether participants from racial or ethnic minority populations experienced higher loss to follow-up. RESULTS/ANTICIPATED RESULTS: At the start of the trial, enrollment of non-Hispanic White participants outpaced enrollment from racial or ethnic minority populations. At 4 months, only 108 participants (20.5%) were from racial or ethnic minority populations, but greatly increased by 28 months to 3,544 participants (46.4%), nearly half of all participants. This increase was predominantly due to recruitment through study sites rather than self-referral. In particular, certain sites recruited large numbers of minority participants. We also observed that participants from racial or ethnic minority populations were more likely to drop out of the study before receiving the study drug (3% vs 1%). DISCUSSION/SIGNIFICANCE: Our results suggest that strategic site selection is an effective strategy for recruiting a study population that represents racial and ethnic populations. The benefits of targeted advertising and outreach were less clear. Retention efforts remain important to reduce loss to follow-up.

OBJECTIVES/GOALS: Despite a steady rise of graduate degrees in biostatistics earned in the US, the percent from minorities remains low. This poster will describe the Collaborative Undergraduate Biostatistics Experience (CUBE), an 8-week program aimed to diversify and bring awareness to the field of collaborative biostatistics, from recruitment through evaluation. METHODS/STUDY POPULATION: The CUBE program is funded jointly by the NIH’s NIDA/NIAAA (award number: 1R25DA058482-01) and is designed to give underrepresented minority (URM) undergraduate students in STEM the opportunity to engage in a collaborative biostatistics and health data science experience, along with related professional development activities. The program is built on four pillars: 1) training in introductory biostatistics, 2) training in R programming, 3) professional development, and 4) a collaborative research project addressing research questions in various disciplines. The CUBE program was delivered in the summer of 2022 as a pilot to four URM students at Virginia Tech (VT) and the University of Virginia (UVA), with two at each site. In summer 2023, the program was offered to 5 students (3 VT, 2 UVA). RESULTS/ANTICIPATED RESULTS: This poster will provide strategies learned over two summers with respect to recruitment and enrollment, along with details on the program content, timeline, and short- and long-term program evaluation metrics (both quantitative and qualitative). The CUBE program was well-received by students participating in summers 2022 and 2023, where improved attitudes towards statistics were demonstrated, and 7 of the total 9 participants (78%) over the past two summers expressed interest in pursuing a graduate degree in biostatistics or a career in quantitative research. Of these 7 students, 1 is currently enrolled in a biostatistics graduate program in the United States. DISCUSSION/SIGNIFICANCE: Results can be used to offer recommendations to leaders in the field on how to establish similar programs seeking to provide a pipeline for equity and diversity in the practice of collaborative biostatistics and health data science.

OBJECTIVES/GOALS: Parental SES may influence the trajectory of students applying to orthopaedic surgery residency, perpetuating opportunistic disparities. Thus, we sought to examine the relationship between parental occupation/education and applicant match rate, education financing, and medical school background. METHODS/STUDY POPULATION: Data from the Association of American Medical Colleges (AAMC) documented parental occupation and education levels of 10,697 orthopedics applicants from 2011 to 2021. Parental occupations were categorized into physician vs non-physician, healthcare vs non-healthcare, working class vs non-working class, and STEMM (Science, Technology, Engineering, Mathematics, Medicine) vs non-STEMM. Parental education levels spanned from no college degree to doctorate degrees and were used as a proxy for SES. Outcomes analyzed included match success, premedical and medical school debt, total educational debt, scholarships, and representation from top 40 research medical schools as determined by NIH funding. RESULTS/ANTICIPATED RESULTS: Physician parent applicants (20.1%) had better match rates (75.5% vs. 73.5%), lower debts, lesser scholarships, and higher top 40 school representation. Healthcare parent applicants (37.0%) had similar match rates, less debt and scholarships. Working class parent applicants (6.0%) had more debt and scholarships. STEMM parent applicants (48.6%) had higher match rates, lesser debts and scholarships, and higher top 40 representation. Applicants with parents without college degrees had lower match rates (68.6% vs 74.5%), more debt and scholarships. Doctorate parent applicants had better match success (75.9% vs 72.9%), lesser debts, and higher top 40 school representation (34.9% vs 29.6%). DISCUSSION/SIGNIFICANCE: Parental SES was associated with substantial variation in applicant financial burden and educational pedigree. Notably, applicants with parents lacking degrees had lower match rates, underscoring the need for supportive strategies to ensure equitable opportunities for aspiring orthopaedic surgeons.

OBJECTIVES/GOALS: The inclusion of underrepresented racial and ethnic groups (URGs) in clinical research is critical for ethical and scientific reasons. This initiative aimed to assess the perspectives, barriers, needs, and recommendations encountered by research teams when enrolling and retaining URGs in clinical research. METHODS/STUDY POPULATION: An anonymous, web-based survey comprised of quantitative and qualitative questions was administered to individuals involved in clinical research at an academic medical center. The survey assessed three main domains: 1. Research teams' perceptions and experiences with enrolling URGs in clinical research, 2. Factors that discourage URGs from participating in clinical research, and 3. Research teams’ overall willingness to support URG enrollment. Demographics were also collected. The survey was reviewed by experts in clinical research, research ethics, and diversity, equity, inclusion, and accessibility (DEIA). The assessment was piloted among research professionals and edits were made accordingly prior to official dissemination. Data were analyzed using descriptive statistics. RESULTS/ANTICIPATED RESULTS: There was a total of 63 responses. A majority of respondents have more success enrolling patients whose primary language is the same as their own and that time arranging for an interpreter has negatively impacted enrollment efforts. Approximately half of the respondents believe that the race and/or ethnicity of the potential study participant influences enrollment success. Factors discouraging URGs from participating in clinical research include unavailability for follow-up visits due to transportation issues, distrust in doctors and/or researchers, fear of unknown side effects, and unavailability of medical interpreters. Respondents report that they are not discouraged from enrolling URGs and would utilize resources related to encouraging the inclusion of URGs DISCUSSION/SIGNIFICANCE: Language appears more influential than ethnicity or race when it comes to enrolling and retaining URGs. Additionally, it appears that enrolling is a bigger challenge than retaining. Major themes that emerge with respect to retaining enrolled participants include the inability to attend follow-up visits and the lack of incentives/compensation.

OBJECTIVES/GOALS: To construct an assessment scale capable of evaluating a trial’s gender literacy or the extent to which biologically assigned “sex” is understood as separate from culturally defined and personally embodied “gender”. This scale in tandem with a policy brief will outline recommendations for inclusive medical nomenclature in the clinical space. METHODS/STUDY POPULATION: Using clinicaltrials.gov, inclusion/exclusion criteria was recorded for PrEP interventional trials (i.e., Truvada, Descovy). To evaluate these trials, an assessment scale for “gender literacy” is necessary. This scale relies on the fact that sex and gender are distinct elements to one’s identity and ought to be reported as such. As a form of content analysis, where literary information (eligibility criteria) is evaluated based on set rubric, this scale will require validation through inter-coder agreement. Evaluated in a group of 5 college-age students, this scale was used on selected PrEP clinical trials to verify if there was high agreement in the scores given. After validation, the dataset from clinicaltrials.gov underwent evaluation using the proposed assessment scale for gender literacy. RESULTS/ANTICIPATED RESULTS: The student coders had a Kalpha of 0.4 in the first round of grading. After retraining, their Kalpha increased to 0.68. The grading involved a subjective language rating (LIR), evaluating the usage of inclusive language, and a numerical score (GR) for the demographics of inclusion in a trial. After this inter-coder agreement validation, 216 active PrEP clinical trials (as of March 2023) were downloaded from clinicaltrials.gov. Grading of these trials showed that cisgender males represented 40% of participants, while 28% represented both transgender men and women, and less than 1% represented non-binary individuals. Moreover, more than half of the trials (52%) exhibited cisgender-oriented language or made no reference to gender identity. DISCUSSION/SIGNIFICANCE: It is a scientific imperative for clinical trials to have representative participant bases in order to derive data that is generalizable to afflicted populations. Especially for PrEP clinical trials, where gender-diverse individuals need visibility, trial design must be carefully crafted so as not to exclude through dated or exclusionary language.

OBJECTIVES/GOALS: The aim of thispaper is to raise awareness of the limitations of the current pMRI training paradigm and to recommend a standardization of skills to expand diversity among field-based neuroimaging technicians. METHODS/STUDY POPULATION: Currently, there are seven international brain research initiatives. The goal is to establish and understand the cultural values a society holds and how the outcomes of research may be adopted into societal practice. We must also consider the benefits of early detection amongst minoritized communities in neuroscience research. Neuroimaging in remote settings can allow patients to advocate more accurately for timely medical care which can lead to better health outcomes. According to the Journal of Neurological Sciences, neuroscience accounts for 9% of total medical publications. RESULTS/ANTICIPATED RESULTS: Neuroimaging research continues to evolve in terms of resolution and portability. T By harnessing diverse data, we are able to utilize advanced neuroimaging techniques and software technology to recognize trends amongst subgroups of individuals who were previously considered geographically inaccessible. DISCUSSION/SIGNIFICANCE: Despite the excitement and promise of portable neuroimaging devices, there is a fundamental need to establish standardized training procedures that can be accessed by individuals of all socioeconomic backgrounds.

OBJECTIVES/GOALS: To tackle population-level health disparities, quality dashboards can leverage individual socioeconomic status (SES) measures, which are not always readily accessible. This study aimed to assess the feasibility of a population health management strategy for colorectal cancer (CRC) screening rates using the HOUSES index and heatmap analysis. METHODS/STUDY POPULATION: We applied the 2019 Minnesota Community Measurement data for optimal CRC screening to eligible Mayo Clinic Midwest panel patients. SES was defined by HOUSES index, a validated SES measure based on publicly available property data for the U.S. population. We first assessed the association of suboptimal CRC screening rate with HOUSES index adjusting for age, sex, race/ethnicity, comorbidity, and Zip-code level deprivation by using a mixed effects logistic regression model. We then assessed changes in ranking for performance of individual clinics (i.e., % of patients with optimal CRC screening rate) before and after adjusting for HOUSES index. Geographical hotspots of high proportions of low SES AND high proportions of suboptimal CRC screening were superimposed to identify target population for outreach. RESULTS/ANTICIPATED RESULTS: A total of 58,382 adults from 41 clinics were eligible for CRC screening assessment in 2019 (53% Female). Patients with lower SES defined by HOUSES quartile 1-3 have significantly lower CRC screening compared to those with highest SES (HOUSES quartile 4) (adj. OR [95% CI]: 0.52 [0.50-0.56] for Q1, 0.66 [0.62-0.70] for Q2, and 0.81 [0.76-0.85]) for Q3). Ranking of 26 out of 41 (63%) clinics went down after adjusting for HOUSES index suggesting disproportionately higher proportion of underserved patients with suboptimal CRC screening. We were able to successfully identify hotspots of suboptimal CRC (area with greater than 130% of expected value) and overlay with higher proportion of underserved population (HOUSES Q1), which can be used for data-driven targeted interventions such as mobile health clinics. DISCUSSION/SIGNIFICANCE: HOUSES index and associated heatmap analysis can contribute to advancing health equity. This approach can aid health care organizations in meeting the newly established standards by The Joint Commission, which have elevated health equity to a national safety priority.