OBJECTIVES/SPECIFIC AIMS: Preterm birth rates have been rising in the United States, and reducing preterm birth is a high-priority clinical and public health concern. There are no existing strategies to reduce preterm birth in nulliparous individuals. The present study aims to evaluate prenatal care as a protective factor for preterm birth in this population. METHODS/STUDY POPULATION: Missouri birth record data for child birth years 1993-2016 were used to create a sample of 325,088 singleton births to nulliparous women, themselves born in MO 1975-1985. Logistic regressions, stratified by maternal race (White, African-American, Asian, American Indian/Alaskan Native, Other), were used to predict preterm birth (< 37 weeks gestational age) as a function of 1) initiation of prenatal care of by end of first trimester and 2) Adequacy of Prenatal Care Utilization Index, with sociodemographic covariates of child birth year, maternal age, highest educational level, and marital status (four level variable, including married yes/no, and partner named on birth record, yes/no). Subsequent analyses will use this logistic regression to create a propensity score predicting smoking during pregnancy using birth record parental sociodemographic characteristics, stratified by maternal race. Primary analyses will focus on the role of prenatal care in predicting smoking during pregnancy and preterm birth risk within propensity score stratum. Secondary analyses will consider the role of other risk factors, including maternal pre-pregnancy BMI and maternal DUI history, on preterm birth risk. RESULTS/ANTICIPATED RESULTS: Preliminary logistic regressions predicting preterm birth were analyzed, stratified by maternal race. In White mothers, preterm birth prevalence was 8.2%, and risk was significantly increased by maternal age ≤ 15 and ≥ 31, being unmarried, and by receiving no prenatal care, yet unaffected by timing of prenatal care initiation. For African-American mothers, preterm birth prevalence was 11.9%, and risk was significantly increased by being unmarried and both by not initiating prenatal care by end of first trimester and receiving no prenatal care. Preliminary samples were too small for solid inferences for other races. Anticipated results are that after propensity score match, earlier initiation of prenatal care will show modest protective effect on preterm birth, but other characteristics such as maternal cigarette smoking during pregnancy and DUI status will show stronger effects on predicting preterm birth risk. DISCUSSION/SIGNIFICANCE OF IMPACT: By evaluating the role of prenatal care initiation and delivery on preterm birth, this work provides an evidence base for prenatal care schedules and for understanding the interplay of sociodemographics, healthcare delivery, and individual characteristics in the context of preterm birth risk and potentially reduce negative health outcomes.

OBJECTIVES/GOALS:

• A web interface that allows for easy upload of CSV text data to time-based visualizations

• Implementation of change points analysis to identify and display points where event rates increased or decreased

• customizable plots where the user can change point shapes, color, etc.

• customizable and advanced filtering support

• support for plot comparisons and exports

METHODS/STUDY POPULATION: We used the R/Shiny framework to develop a web application for visualization of time stamped data. The Research and Exploratory Analysis Driven Time-data Visualization (READ-TV) application allows for user-friendly mining for longitudinal patterns in data. READ-TV is built specifically for FD analysis, but is easily adaptable to other clinical use cases, as we allow for the use of general metadata on events and cases.The building of a quantitative framework for event analysis starts with the application of homogeneous Poisson processes, which relate the times of occurrence of events in terms of an underlying rate. To understand the changes in this underlying rate, changepoint analysis is used to model the rate as a function of time using piecewise constant approximations. The changepoint analysis allows us to identify the specific periods of time where the rate of FD is increased relative to a baseline or a desired operating range. RESULTS/ANTICIPATED RESULTS: READ-TV application allows for import of time stamped event data from multiple cases. Event and case metadata are supported to facilitate filtering and mining of interesting subsets of data. Stem plots are used for visualization of selected event timelines in chosen cases. This visualization is accompanied with summary of the number and estimates of rates of occurrence of specific event types (e.g. types of FD). Change-point analysis is implemented using the ‘changepoint‘ R library. These analyses allow the users to quickly understand whether the rates of events (FD) is changing across the case timeline and where exactly these changes are occurring. DISCUSSION/SIGNIFICANCE OF IMPACT: We have demonstrated the READ-TV application to the team of the AHRQ-funded Human Factors and Systems Integration in High Technology Surgery (HF-SIgHTS) study. The ability to visualize and perform quantitative analysis of the study data was received with unanimous positive feedback and enthusiasm. We continue READ-TV development focusing on (1) increased user-friendliness using the HF-SIgHTS as our focus group, (2) increased functionality, and (3) use of more general localization terminology to allow for other applications.

OBJECTIVES/GOALS: Diverse medication-based studies require longitudinal drug dose information. EHRs can provide such data, but multiple mentions of a drug in the same clinical note can yield conflicting dose. We aimed to develop statistical methods which address this challenge by predicting the valid dose in the event that conflicting doses are extracted. METHODS/STUDY POPULATION: We extracted dose information for two test drugs, tacrolimus and lamotrigine, from Vanderbilt EHRs using a natural language processing system, medExtractR, which was developed by our team. A random forest classifier was used to estimate the probability of correctness for each extracted dose on the basis of subject longitudinal dosing patterns and extracted EHR note context. Using this feasibility measure and other features such as a summary of subject dosing history, we developed several statistical models to predict the dose on the basis of the extracted doses. The models developed based on supervised methods included a separate random forest regression, a transition model, and a boosting model. We also considered unsupervised methods and developed a Bayesian hierarchical model. RESULTS/ANTICIPATED RESULTS: We compared model-predicted doses to physician-validated doses to evaluate model performance. A random forest regression model outperformed all proposed models. As this model is a supervised model, its utility would depend on availability of validated dose. Our preliminary result from a Bayesian hierarchical model showed that it can be a promising alternative although performing less optimally. The Bayesian hierarchical model would be especially useful when validated dose data are not available, as it was developed in unsupervised modeling framework and hence does not require validated dose that can be difficult and time consuming to obtain. We evaluated the feasibility of each method for automatic implementation in our drug dosing extraction and processing system we have been developing. DISCUSSION/SIGNIFICANCE OF IMPACT: We will incorporate the developed methods as a part of our complete medication extraction system, which will allow to automatically prepare large longitudinal medication dose datasets for researchers. Availability of such data will enable diverse medication-based studies with drastically reduced barriers to data collection.

OBJECTIVES/SPECIFIC AIMS: The purpose of this study is to determine if the prevalence of interdisciplinary collaborations has increased over the past 10 years at 1 CTSA-funded institution. METHODS/STUDY POPULATION: We used Scopus to identify all articles published by authors affiliated with any of the Johns Hopkins Institutions for the years 2005, 2010, and 2015. We limited the search by the Scopus Field Codes “Subject Area” to biomedical science only, “Document Type” to articles only, and “Source Type” to journals only. We further eliminated all articles with 1 author or more than 10 authors. This resulted in 2800 articles for 2005, 3987 for 2010, and 4569 for 2015. After exporting the articles, we randomly selected 25 from each of the 3 time periods. Using the World Public Library Outline of Academic Disciplines as a guide, every author was assigned 1 of the following disciplines: Social Science (eg, Psychology), Basic Science (eg, Biology, Chemistry), Agriculture, Computer Science, Engineering, Medicine, Public Health, Nursing, or an Interdisciplinary field (eg, Genetic Medicine) based on their department and school affiliation. Articles with authors who belonged to 1 discipline only were considered single-discipline articles, and articles with authors in a least 2 different disciplines were considered “interdisciplinary.” RESULTS/ANTICIPATED RESULTS: Based on the results of an initial pilot study, in 2005, 24% of articles were interdisciplinary, in 2010, 20% of articles were interdisciplinary, and in 2015, 60% of articles were interdisciplinary. The large gap between the first 2 time periods (2005 and 2010) and the most recent (2015), suggests a possible pattern of increasing growth of interdisciplinary collaborations over time. Expanding this analysis to a much larger sample size will provide additional important evidence. DISCUSSION/SIGNIFICANCE OF IMPACT: Increasing emphasis is being placed on evaluating the effectiveness of the CTSA consortium in achieving its goals and on developing methods to gauge its success. Systematic methods that are easy to replicate across hubs are needed to better understand and track the evolution of scientific collaborations over time. This study outlines a process for determining whether one of the major desirable outcomes of the CTSA, notably the growth of interdisciplinary collaborations, can be determined through the analysis of authorship patterns. Further research is needed to confirm the generalizability of these results across other CTSA hubs.

OBJECTIVES/GOALS: Despite the large body of evidence concerning the effects of dietary interventions on blood pressure, trials have often reported poor adherence to sodium restriction. We implemented the Sodium Watcher Program-Hypertension (SWPH) program using digital self-monitoring. The purpose of this study was to determine the feasibility of the SWPH program. METHODS/STUDY POPULATION: The SWPH is a pilot two-arm, 2-month randomized controlled trial that enrolls adults with hypertension. The intervention group received personalized feedback on dietary sodium intake and BP and the control group participants received usual care for hypertension. Both groups participated in digital self-monitoring of daily diet and BP over 8 weeks. The primary outcomes were adherence to dietary sodium intake as captured by 24-hour urinary sodium excretion and BP at baseline and at the 2-month follow-up. Feasibility assessment included adherence to dietary sodium intake monitoring and in-home BP monitoring measured by the percentage of days that participant logged their food intake and in-home BP. The preliminary effect on the outcome variables was tested by using a repeated-measures analysis of variance. RESULTS/ANTICIPATED RESULTS: In this feasibility study, we included data from 12 participants (n=9 SWPH, n=3 control) who completed all phases of the study. The patients median age was 56.5 years and 70% were female. The mean baseline BP was 142.7/87.5 mmHg. The mean 24-hour urine sodium of 4853.0 mg (SD=1639.9 mg) with 80% having 24-hour urine sodium >2300 mg at baseline. SWPH group had lower systolic (baseline 142.4 mmHg vs follow-up 124.1 mmHg, p<0.001), diastolic (baseline 87.1 mmHg vs follow-up 77.5 mmHg, p<0.05) BP, and 24-hour urine sodium (baseline 3790.4 mg vs 2609.7 mg, p<0.05) compared with control group. Compared with the control group, the SWPH group had significantly more eligible days of digital food log usage (control 80.0% vs intervention 98.2%, p<0.01) and in-home BP monitor usage (control 77.6% vs intervention 94.6%, p<0.01). DISCUSSION/SIGNIFICANCE: Millions of Americans remain in need of effective interventions to manage their hypertension. Innovative and accessible strategies to sustain a low sodium diet intervention are needed for the majority of individuals not following the low sodium diet. By leveraging digital self-monitoring, a low sodium diet program was feasible and in reducing BP.

OBJECTIVES/SPECIFIC AIMS: To respond to the need for a simple tool to answer individual researchers questions: Exactly what training do I need to complete for my study and my role? Where can we go to find a comprehensive record of my research training? METHODS/STUDY POPULATION: Identify the factors that determine what training is required for each role (i.e., PI, coordinator, biostatistician) at the University, their role on the research study, type of funding, population being studied and responsibilities/duties on the research team. Develop an inventory of training required according to federal and local regulations and guidelines. Identify other related factors that ensure ongoing compliance for research professionals (i.e., medical licenses, CVs, immunizations, and credentials). Collaborate with programming professionals to explore and confirm the feasibility of such a Web site. Incorporate formal usability and pilot testing as part of the programming design process. Develop User Guide and Marketing and Launch plan for users and supervisors. Implement phased launch of the site with Google analytics, and evaluate the experience of phase I users. RESULTS/ANTICIPATED RESULTS: Three months user data and evaluation results demonstrated: 149 users created Training Roadmaps on the site. Users were from 67 different department codes, with the Department of Psychiatry the primary user. 20 users responded to a survey three months after launch. Research coordinators were the primary focus for phase I and represented almost half of the users. Survey respondents rated the site ease of use and clarity of the site as its greatest benefit. DISCUSSION/SIGNIFICANCE OF IMPACT: In September 2017, CTSI launched a new web-based training tool exclusively for University of Minnesota clinical research professionals who work with human participants, and their supervisors. The Human Research Training Web site is a free, easy-to-use tool to help identify and maintain the appropriate training, certification, credentials, and immunizations needed to perform University of Minnesota research with human participants. The Web site offers the University’s first systematic way to identify which research training is necessary for each research professional, and a system to track and maintain training compliance. Training records and information from the University of Minnesota’s central databases are securely integrated into this tool. Our Web site tool enhances research compliance. Any given study team member’s training requirements vary based on several criteria such as: role at the University, role on the research study, type of funding, population being studied and responsibilities/duties on the research study. The research training Web site generates required and optional training based on individuals’ responses to these questions. This Web site also links to the training, which decreases error in taking the wrong training. Furthermore, it provides completion data for research training and is a repository for vital study information such as: medical licenses, CVs, and credentials. Supervisors are able to view training and credentials. They are alerted when one of their employee’s licenses or certificates are about to expire. Uses-to-date and evaluation feedback have informed the need for a second phase of Web site enhancements. This site will reside in both the CTSI Web site and the HRPP Web site. A link will be sent to all new University research employees upon hiring. The Human Research Training Web site will likely have applicability to other universities in addition to the University of Minnesota.

ABSTRACT IMPACT: Findings from this study have the potential to improve interventions geared toward YBW, by highlighting the potential for technology-based HIV interventions. OBJECTIVES/GOALS: A stark disparity in HIV exists for Black American women, with 61% of all new HIV infections among American women occurring in Black women. Using technology to address community-level HIV risk may be beneficial, however few studies have examined the association of tech-based communication and HIV prevention behaviors among Black women. METHODS/STUDY POPULATION: Egocentric social network data from 201 young Black women (YBW) were collected from June 2018 to December 2018 to identify how social media use (e.g., amount of time, type of social media used, health information seeking) and sexual health communication (e.g., talk about condom use via face-to-face, text or phone and talk about HIV testing via face-to-face, text or phone) were associated with condom use, HIV testing and interest in pre-exposure prophylactic (PrEP). Statistical analysis proceeded in two stages, descriptive statistics and multivariate logistic regression modeling. RESULTS/ANTICIPATED RESULTS: Instagram (82%) and Snapchat (79%) were the most used social media platforms for communication with SNMs. About 20% of YBW reported spent 4 or more hours on social media per day, and a majority of YBW spoke to at least one SNM via text (85%), face-to-face (98%), or on the phone (97%). Multivariate logistic regression results indicated that YBW who spoke to their SNMs via Instagram had 3.23 times the odds of using condom during last sex, however if they spoke to SNMs on twitter or spent more then 4 hours on social media they had a decrease in odds of using condoms. YBW had 96% decreased odds of ever being tested for HIV if they spoke to a SNM face-to-face about condom use; and notably, YBW had 3 times the increased odds in interest of using PrEP if they had sex with someone they met online or if they sought sexual health information online. DISCUSSION/SIGNIFICANCE OF FINDINGS: By assessing the modes of communication YBW are using to speak with their SNMs and their associations with HIV prevention behaviors, we can better determine the most optimal, efficient, and effective ways of utilizing technology for HIV intervention.

OBJECTIVES/GOALS: Our objective is to explore the evolving role of evaluators within Learning Health Systems (LHSs) and the implications for evaluation approaches in these dynamic healthcare environments. We aim to disseminate lessons learned to help inform best practices for other CTSA hubs operating under a LHS model. METHODS/STUDY POPULATION: Our investigation builds upon our prior qualitative analysis of the LHS literature and contextualization of unique challenges, and potential remedies, of a LHS in Academic Health Centers. As evaluators, we are particularly interested in understanding how evaluation work is conducted in LHSs and exploring ways to optimize the role of evaluators and their skillset in this context. For this investigation, we examined the competencies necessary for evaluators working in LHS and the specialized evaluation approaches needed to fulfill these requirements. Our approach drew from multi-faceted data and experience. We leveraged insights from our literature review, direct experience within WFUSOM CTSI, and discussions with other evaluators. This combination of data sources provided the foundation for our analysis. RESULTS/ANTICIPATED RESULTS: We expect that as more health systems move toward the LHS model, they will have an increased need for various forms of evaluation, requiring resources well beyond what they are currently dedicating to evaluation. Expectations for evaluators will be enhanced in the following distinct, yet complementary, categories: generating new knowledge and translating research knowledge into practice. Anticipated results include identifying essential competencies for evaluators in LHS, such as data proficiency, clinical understanding, and adaptive skills. We also expect to uncover various evaluation approaches specific to LHS, including quality improvement studies, pragmatic trials, and stakeholder-engaged research. DISCUSSION/SIGNIFICANCE: Understanding the evolving role of evaluators and specialized evaluation approaches in LHS is crucial. It enhances the ability to generate localized evidence, customize interventions, and improve patient care. This knowledge empowers healthcare systems to adapt, innovate and deliver high-quality care for a higher impact on patient outcomes.

OBJECTIVES/SPECIFIC AIMS: The goal of this innovative course is to provide community members with sufficient information to either join or decline participation in clinical research. We anticipate that they will gain knowledge in why research is conducted, the ways participants are recruited, the history of research, regulations that guide research today, participant protections, understand the consent process, their risks and benefits of participating in clinical research. METHODS/STUDY POPULATION: We will recruit interested community members via flyers placed at the training location and at other local community centers and agencies that receive heavy foot traffic. The course is listed in the Communiversity catalogue which is distributed in hardcopy (over 30,000) and email each semester. The course will be taught by a longstanding community member and research coordinator at the University of Cincinnati. Each session will be highly interactive including videos, role-play, and discussion of the presented research topics. Evaluation will occur both pre and post-session, along with pre and post-course. RESULTS/ANTICIPATED RESULTS: We anticipate 20–30 participants at each of the 4 sessions. We anticipate that we will learn current perceptions of clinical research and barriers to their participation to enable improved research recruitment. In addition, we will gain new insights into clinical research needs of the community. DISCUSSION/SIGNIFICANCE OF IMPACT: Through these interactive sessions, we will learn why community members participate in research and their barriers to participating. Understanding the perception of research by the target community is critical when developing clinical research recruitment strategies. We will also be developing a more educated community towards clinical research. We will also gain great insight into new clinical research directions as indicated by community members.

OBJECTIVES/GOALS: Describe the community of Norther Dauphin County, PA and increase awareness of this community’s health related needs. Establish partnerships between Penn State faculty and Northern Dauphin County community-based organizations to develop an optimal approach to address identified health related needs. METHODS/STUDY POPULATION: Northern Dauphin is located in the rural Northern Tier of Dauphin County, PA and has roughly 30,000 residents within 272 square miles. Of those residents, approximately 1 in 4 families live below the poverty level. Although over 6,000 residents receive Medical Assistance (MA), only one local provider accepts MA covered patients. Residents have limited access to health care due to the rurality of the area when paired with a lack of public transportation. The Penn State Clinical and Translational Science Institute (CTSI) Community Engaged Research Core (CERC) has partnered with Northern Dauphin County community- based organizations to explore the needs of community members and how partnerships with Penn State Faculty could help to address the community needs. RESULTS/ANTICIPATED RESULTS: A Community Advisory Board (CAB) of leaders (e.g., school officials, business owners) was created to identify community needs. After an initial workshop with the CAB, an assessment was created and distributed to the larger community to identify the top community health needs. Details from the assessment were then used to prioritize the themes for the Community Driven Research Day (CDRD). The CERC team identified Penn State University faculty with research interests related to these prioritized themes. The faculty identified and community leaders were then invited to the CDRD. The agenda for the event included an introduction to Community Engaged Research, a presentation from a researcher and community partner working together, round table discussions based on the themes selected, and an overview of pilot grants. DISCUSSION/SIGNIFICANCE: The CDRD will facilitate partnerships between the Penn State faculty and local community leaders to help effectively move forward addressing the community’s health needs. The PSU CTSI will offer pilot grants to formalize and strengthen these partnerships and conduct community engaged research initiatives to discover optimal ways to address them.

Digital badges can provide condensed competency-based knowledge enabling individuals a chance to explore specialized careers in clinical research. A digital badge can be an efficient pathway to introduce clinical research job roles and educate a larger diverse workforce for clinical research coordinator positions at AMCs. The New Jersey Alliance for Clinical and Translational Science (NJ ACTS) developed a digital badge with potential to broaden exposure to training opportunities for CRCs and improve their prospects for a career at Rutgers. This paper describes the development of a digital badge introducing individuals to the clinical research profession, especially for those who aspire to become a CRC. The badge was designed to include five domains (Scientific Concepts and Research Design, Ethical and Participant Safety Considerations, Clinical Study Operations and Site Management, and Data Management and Informatics). Participants assessed the badge for accuracy and presentation level. The results demonstrated that the competencies were met, and content was appropriate for someone with limited knowledge of clinical research. Survey results along with the Difficulty Index and Discrimination Index calculated for quiz questions supported the badge rank as foundational. Research is ongoing to evaluate the value of the badge to job acquisition, performance, and career growth.

OBJECTIVES/SPECIFIC AIMS: The University of Puerto Rico-Medical Sciences Campus and Universidad Central del Caribe, through the Title V Cooperative Project, devised a clinical and translational research (CTR) platform to pipeline students/faculty of undergraduate health sciences programs into CTR. Educational interventions in CTR—introductory intervention (II) and Annual Symposium (AS)—were designed to promote awareness, stimulate interest of students and faculty in CTR. METHODS/STUDY POPULATION: In the II the participants (n=159) were surveyed before and after a presentation and panel discussion about CTR. In addition, after the sessions—plenary, panel, and workshop—about CTR, the participants of AS (n=42) were surveyed for satisfaction and learning experience in CTR. RESULTS/ANTICIPATED RESULTS: Most participants of the II, 134 (84.3%) were students. In total, 58 (58, 36.5%) completed the post II survey. Of these, 53.4% satisfactorily defined the CTR concept Versus only 31.0% that could define CTR in the pre survey, 47 (81.7%) were unable to identify a CTR researcher and 45 (78.3 %) expressed interest in learning about CTR. In total, 28 (28, 66.7%) participants of the AS completed the satisfaction survey, out of which 17 (60.6%) were students. One hundred percent (100%) agreed that the AS served as a vehicle to increase their knowledge in CTR. DISCUSSION/SIGNIFICANCE OF IMPACT: The educational interventions demonstrated to be an effective strategy to promote awareness and stimulate interest of students and faculty in CTR. In addition, the results obtained, provided valuable baseline information for the planning—development of training cycles in CTR.

OBJECTIVES/SPECIFIC AIMS:. This study aims to understand the effects of prenatal opioid exposure on structural and functional connectivity in the neonatal brain. Our central hypothesis is that infants with prenatal opioid exposure will have decreased structural and functional connectivity as compared to non-exposed controls. Our overarching goal is to improve neurodevelopmental and behavioral outcomes in infants with prenatal opioid exposure. METHODS/STUDY POPULATION:. Infants with prenatal opioid exposure were recruited from 2 birth hospitals in our area. Control infants were recruited from the larger community. Infants underwent MRI between 4-6 weeks of age in the Cincinnati Children’s Hospital Imaging Research Center. MRI sequences included 3D structural T1 and T2-weighted imaging, resting state functional connectivity MRI, and multi-shell DTI (36 directions at b=800 and 68 directions at b=2000). Tract-based spatial statistics (TBSS) was used to identify differences in fractional anisotropy (a measure of white matter integrity) between groups. Group independent component analysis was used to identify differences in resting-state networks between groups RESULTS/ANTICIPATED RESULTS:. There were 5 subjects enrolled in the study with evaluable imaging, 3 infants with prenatal opioid exposure and 2 unexposed controls. Structural MRI was normal in all cases. Infants with prenatal opioid exposure had reduced structural connectivity as measured by fractional anisotropy (FA) in the genu and splenium of the corpus callosum as compared with controls. The orange/red color represents areas in which the FA of the opioid-exposed group was lower than controls and green represents the white matter skeleton common to both groups. Infants with prenatal opioid exposure also had significantly reduced within-network functional connectivity strength (z-transformed partial correlation coefficient 0.358 vs 0.199, p = 0.03) in the sensorimotor network as compared with controls. DISCUSSION/SIGNIFICANCE OF IMPACT:. In this small pilot study, both structural and functional connectivity were reduced in opioid-exposed infants compared with controls. This data suggests that differences in structural and functional connectivity may underlie the later developmental and behavioral problems seen in opioid-exposed children. These findings must be validated in a larger population with correction for confounding factors such as maternal education

OBJECTIVES/SPECIFIC AIMS: Explain the difference between creative and critical thinking. Practice and enhance the critical thinking skills. Display innovative thinking through creative solutions and insights. Critically evaluate evidence in research. Think imaginatively, actively seeking out new points of view. METHODS/STUDY POPULATION: Offer an online course in Critical and Creative Thinking to junior researchers to improve their capacity to think and transforms their ideas in research questions and aims that bring new option to the field of clinical and translational research. Evaluate their improvement through evaluation forms and exercises that show their process to think imaginatively. RESULTS/ANTICIPATED RESULTS: The Scholars will understood the importance of critical and creative thinking in their careers, believed they could apply the insights and knowledge from the course in their grant and paper writing, recognized that they don’t always consider if they are being critical or creative in their thinking and actions. DISCUSSION/SIGNIFICANCE OF IMPACT: The course helped the participants to improve their capacity to think and saw a need to develop a more systematic thought processes in their life and work. The junior research will understand the difference between opinion, reasoned, judgment and fact and they will be able to judge the credibility of an information source using criteria such as authorship, currency and potential bias that can improve their grant submission and scientific writing skills.

OBJECTIVES/SPECIFIC AIMS: Previous studies showed that 52% of smokers were unsuccessful in quitting smoking. Smoking in alcoholics is 2-3 times that of the general population with 50%-80% of alcoholics smoking regularly. Studies have linked several genetic variants to addiction. We examined the relation between successful quitting smoking, alcohol use, and genetic data for CYP2A6, CYP2B6, DRD2, DRD1 and GABRB1 alleles. METHODS/STUDY POPULATION: We analyzed data from NHANES III 1988-1994 for socioeconomic factors, physical activity, body mass index (BMI), alcohol status, successful quit smoking, and genetic data for CYP2A6, CYP2B6, DRD2, DRD1 and GABRB1 alleles. Multivariate logistic regression was used to examine the association between successful quit smoking and genotypes adjusting for other variables. Data were analyzed using SAS version 9.3 (design & weight). RESULTS/ANTICIPATED RESULTS: Of the 2,269 smokers, 57% were current smokers, 35% were heavy drinkers, 24% were both smokers & heavy drinkers and 41% successfully quitted smoking. Successfully quit smoking was associated with CYP2A6 (rs28399433-TG) (adjusted odds ratio (AOR) = 3.6, 95% confidence interval (CI) = 1.1-11.9, p = 0.03), CYP2B6 (rs2279343-AA and AG) (AOR = 2.3, 95%CI = 1.5-3.5, p = 0.0003 for AA & AOR = 2.3, 95%CI = 1.2-4.2, p = 0.01 for AG) and DRD1 (rs4532-AA) (AOR = 2.2, 95%CI = 1.01-4.6, p = 0.04). Among heavy drinkers, those with CYP2A6 (rs28399433-TG) and CYP2B6 (rs2279343-AA and AG) were more likely to successfully quit smoking and those with CYP2A6 (rs5031017-GG) and GABRB1 (rs1442099-CC) were less likely to successfully quit smoking (p<0.05). DISCUSSION/SIGNIFICANCE OF IMPACT: We concluded that while rs28399433-TG, rs2279343-AA & AG positively impacted the success to quit smoking, rs5031017-GG & rs1442099-CC negatively impacted the success in quitting smoking both overall and specifically in heavy drinker smokers.

OBJECTIVES/GOALS: Describe the pipeline of training, coaching, and council opportunities through the Partnerships of Academicians and Communities for Translation (PACT) and how it enhances Community-Based Participatory Research (CBPR) practices and increases community participation and capacity. METHODS/STUDY POPULATION: We conceptualized a pipeline for building capacity for community-based participatory research (CBPR). Key components include Colorado Immersion Training in Community Engagement which introduces academic investigators to specific geographic and demographic communities in Colorado, Partnership Development grants that fund time to building relationships between research and community, Joint Pilot Grants to provide subsequent funding for collaborative research, and the PACT, consisting of Community Research Liaisons (CRLs) and Community and Academic Council Members. RESULTS/ANTICIPATED RESULTS: The pilot grants program was created in 2008; to date has awarded 138 partnerships. In response to academic and community needs, our core developed CIT in 2010. 16 CIT Participants received Partnership Development pilot grant funding, six of whom went on to receive Joint Pilot funding, and an additional 8 who started with a Joint Pilot award. There have been 24 Partnership Development awardees who received subsequent Joint Pilot funding. Ten CIT participants have either become a PACT council member, pilot grants reviewer, or PACT trainer or coach. There has been one person to complete the entire pipeline from CIT, pilot grant awardee, to PACT council member. DISCUSSION/SIGNIFICANCE: The pipeline is a strong foundation for engaging with academic and community researchers who aim to improve CBPR in Colorado. Our signature programs, CIT and Pilot Grants, are unique opportunities to increase community engagement across sectors and improve research practices.

OBJECTIVES/GOALS: To develop and validate a tool to systematically identify benefits accruing to research within the Translational Science Benefits Model (TSBM) framework. We used a Delphi panel to reach consensus among a group of experts on criteria required for a clinical, community, economic, or policy benefit to be verified as coming from research. METHODS/STUDY POPULATION: A coding tool with proposed criteria to verify each of the 30 benefits was created at UCI to confirm the TSBM benefits resulting from funded research. We convened 11 experts from 8 CTSA hubs, who consisted of evaluators (faculty and staff) with experience using the TSBM. A web-based survey was used for Round 1, followed by a panel discussion of remaining unvalidated criteria, and a Round 2 survey as the final decision for inclusion of items in the tool. Response options for each criterion were “yes, required” or “no, not required”. Criteria that reached consensus (>70% agreement) were considered validated for inclusion in the final version. Panelist suggested criteria in Round 1 were also incorporated in the Round 2 survey for consideration by the experts. RESULTS/ANTICIPATED RESULTS: In the web-based survey for Round 1, all 11 experts participated and 92% of criteria reached the determined consensus level (N = 157). The remaining 8% of the criteria (N = 13) were discussed during the panel meeting. The discussion, in which 8 experts participated, was moderated by UCI and took place virtually via Zoom. All experts were sent a recording of the discussion and given the opportunity to post comments online about the remaining criteria before, during, and for a day after the discussion. Round 2 will include 50 newly proposed criteria from panelists and the 13 criteria that did not reach consensus in Round 1. Based on the results of Round 2, the criteria that reach consensus will be included in the final version of the coding tool that can be used across all TSBM benefits. DISCUSSION/SIGNIFICANCE: Using the Delphi Methodology, we will have a standardized set of criteria that may be applied to determine whether a TSBM benefit has resulted from a specific research project or program. This standardization will allow for aggregation and comparison of data across CTSA hubs and further multi-level evaluation of impact.