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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

OBJECTIVES/SPECIFIC AIMS: Family centered rounding on pediatric inpatient units improves communication and family satisfaction. While the use of electronic medical record based devices and resources as part of the rounding process allows for immediate access of information and real time order management, there is limited data concerning parental perspectives’ about technology use on rounds, and about factors affecting participation during family centered rounds more generally. Our objectives were to examine parental (1) perspectives on factors that affect their participation during family centered rounds and (2) resource preference (tablet, computer on wheels, paper notes) used by trainees and the reasons for said preference. METHODS/STUDY POPULATION: We performed a cross-sectional study with English-speaking parents who were present for multidisciplinary family centered rounds and whose children were admitted to the inpatient pediatric unit at a tertiary care academic medical center. Parents were surveyed after rounds to ascertain their opinions on factors affecting their participation in rounds, preferences in respect to the resource used by trainee, and whether they believed the resource used on rounds that day affected their understanding or participation in rounds. Parents were also asked to articulate the reasons behind their preferred resource. Responses were analyzed using descriptive statistics, and qualitative responses were analyzed for themes. RESULTS/ANTICIPATED RESULTS: In total, 40 parents enrolled. Common responses regarding factors affecting parental participation included: information was explained in way that was easy to understand (90%), parents’ understanding of the medical information (85%), eye contact with the medical team (78%), if the medical team asks for parent input (75%), and the health of the child (70%). Fewer parents (23%) believed that the type of resource used affected their participation. Tablets were the preferred technology resource (33%) due to their portability, ease of accessing information, and that they encouraged interaction with the patient. Fewer preferred computers on wheels (27%) and paper notes (5%). In total, 35% of parents reported no preferred resource. No parents said that tablets were their least preferred resource. Reasons computers on wheels were least preferred (13% of parents) included their large size and that they limited eye contact, whereas, parents stated that paper notes were least preferred (13% of parents) because they were old-fashioned, easy to lose, and not accurate; 68% of parents stated the resource used did not affect their understanding on rounds that day, and 83% asserted the resource had no effect on participation. DISCUSSION/SIGNIFICANCE OF IMPACT: Clear and engaging communication during family centered rounds is most important to parents’ participation. The type of technology resource used is less relevant, but parents favor the use of tablets when they report a preference. Given the convenience for providers, tablet utilization as part of a family centered, trainee based rounding process has potential benefit.

OBJECTIVES/GOALS: This integrated knowledgetranslationproject aims to increase youth engagement in mental health services through enhancing shared decision-making processes. To do this, a knowledge product to support greater involvement in measurement-based care practices will be evaluated and co-developed with youth study participants. METHODS/STUDY POPULATION: This study population includes youth (aged 12-25) with lived/living experience of accessing mental health services through an integrated service delivery model in Ontario. Study methods focus on co-designing a knowledge product with youth partners guided by the Knowledge-to-Action (KTA) Framework. The prototype knowledge product addressing identified barriers to MBC understanding, will be quantitatively evaluated by study participants. Through semi-structured focus groups, qualitative perspectives of the intervention’s impact on shared decision-making and overall engagement in treatment will be collected. The study’s design ensures active collaboration with the study population and aims to enhance MBC understanding and engagement in mental health care among youth. RESULTS/ANTICIPATED RESULTS: We anticipate increased youth involvement within MBC practices, and overall increased engagement in shared-decision making in treatment. We anticipate the developed knowledge product will enhance youth’s understanding of MBC, foster dialogue between youth and clinicians, and promote active involvement and informed decision-making in their mental health treatment. By involving youth in the co-design process, our project is poised to foster a sense of ownership and relevance, ultimately improving youth engagement, decision-making, and mental health outcomes within integrated mental health services. DISCUSSION/SIGNIFICANCE: Youth deserve to have an active role in shaping treatment decisions. This tool may bridge a gap by equipping youth with the knowledge needed to engage in decisions that are often practitioner-led. This study will discuss the impact and strategies for increasing involvement in MBC practices on youth engagement within treatment.

ABSTRACT IMPACT: Many who suffer from end-stage organ disease do not qualify for solid organ transplantation because of obesity; however, bariatric surgery offers the potential to render select patients transplant-eligible, and in some cases, may lead to weight loss that is sufficient to reverse end-stage organ disease. OBJECTIVES/GOALS: As obesity prevalence grows, more end-stage organ disease patients will be precluded from transplant. Numerous reports suggest bariatric surgery in end-stage organ disease may help patients achieve weight loss sufficient for transplant listing, though the published data are limited. METHODS/STUDY POPULATION: We performed a systematic review/meta-analysis of studies of bariatric surgery to achieve solid organ transplant listing. RESULTS/ANTICIPATED RESULTS: Among 82 heart failure patients, 40.2% lost sufficient weight for listing, 29.3% were transplanted, and 8.5% had sufficient improvement with weight loss they no longer required transplantation. Among 28 end-stage lung disease patients, 28.6% lost sufficient weight for listing, 7.1% were transplanted, and 14.3% had sufficient improvement following weight loss they no longer required transplant. Among 41 cirrhosis patients, 58.5% lost sufficient weight for listing, 41.5% were transplanted, and 21.9% had sufficient improvement following weight loss they no longer required transplant. Among 288 end-stage/chronic kidney disease patients, 50.3% lost sufficient weight for listing and 29.5% were transplanted. DISCUSSION/SIGNIFICANCE OF FINDINGS: Small sample size and publication bias are limitations; however, bariatric surgery may benefit select end-stage organ disease patients with obesity that precludes transplant candidacy.

Objectives/Goals: To identify and characterize future potentially high impact research generated by the Clinical and Translational Science Awards (CTSA) Program, we evaluated the Altmetric Attention Scores (AAS) of recent articles associated with the Program and conducted an initial assessment of the attributes associated with high AAS for Program articles. Methods/Study Population: We used the NIH Query, View, Report (QVR) tool to identify recently-published scientific papers that cited support from a CTSA Program grant. The unique publications identified by QVR were used to construct an Altmetric Explorer report. We examined the relationship between the AAS and other variables, including number of authors, number of grants supporting the publication, number of CTSA program institutions supporting the publication, and if the publication included group authorship. Results/Anticipated Results: Our analyses confirmed that the Program indeed supports potentially high impact research, as indicated by the highest scoring papers, across a wide range of diseases and conditions. Nearly all the highest scoring papers were focused on a specific disease or condition rather than broader methodological research, despite the disease-agnostic focus of the CTSA program. We also found that the Program significantly contributed to critical research on the once-in-a-century COVID-19 pandemic. We confirmed the entire CTSA consortium is contributing to potentially high impact research, with all institutions represented in the highest scoring publications. Discussion/Significance of Impact: Understanding the impact of the CTSA Program presents a unique challenge – the program supports biomedical research infrastructure and training programs whose outcomes and impact can be difficult to track or measure. These data offer early signals of impact and can assist evaluators with designing future evaluations.

OBJECTIVES/GOALS: Low and middle income countries (LMICs) face challenges in early detection of breast cancer resulting in high breast cancer mortality. This study serves to identify gaps and opportunities for innovators seeking to address problems in early detection of breast cancer in Uganda and other LMICs. METHODS/STUDY POPULATION: Two methods were used: 1) Three weeks of ethnographic research in Uganda through primary stakeholder interviews and clinical observations. Interviews were conducted with patients, clinicians, NGOs, and key opinion leaders from the Uganda Cancer Institute, Makerere University, and JHPIEGO. Clinical observations were performed to note the workflow and availability of resources across diverse health centers ranging from village health teams in rural settings to the national referral hospital in the urban center. 2) A targeted literature search focused on breast cancer detection in LMICs. Keywords included breast cancer’, screening’, and diagnosis’. Identified challenges were validated through stakeholder interviews and categorized. Potential solutions to each challenge were explored. RESULTS/ANTICIPATED RESULTS: Three broad categories of challenges and suggested innovation targets were identified. 1) Ineffective clinical processes: deskilling and improving training around the process of clinical breast examinations, imaging operation and interpretation, and pathology preparation and interpretation; 2) Accessibility: increasing screening throughput, improving rural community access to breast cancer care, and increasing opportunistic screening; 3) Sensitization: increasing patient and health worker awareness of clinical presentations of breast cancer, reducing cultural barriers, and improving trust in the medical community. DISCUSSION/SIGNIFICANCE: Innovators seeking to solve problems in early breast cancer detection in LMICs should focus on ineffective clinical processes, accessibility, and sensitization. In conjunction with prompt treatment, there is potential to reduce breast cancer mortality rates in line with the Global Breast Initiative.

The COVID-19 pandemic has required many clinical and translational scientists and staff to work remotely to prevent the spread of the virus. To understand the impact on research programs, we assessed barriers to remote work and strategies implemented to support virtual engagement and productivity. A mixed-methods RedCap survey querying the remote work experience was emailed to Colorado Clinical and Translational Sciences Institute (CCTSI) scientists and staff in April 2020. Descriptive analyses, Fisher’s Exact tests, and content analysis were conducted. Respondents (n = 322) were primarily female (n = 240; 75%), 21–73 years old (mean = 42 years) with a PhD (n = 139; 44%) or MD (n = 56; 55%). Prior to COVID-19, 77% (n = 246) never or rarely (0–1 day a week) worked remotely. Remote work somewhat or greatly interfered with 76% (n = 244) of researchers’ programs and 71% (n = 231) reported slowing or stopping their research. Common barriers included missing interactions with colleagues (n = 198; 62%) and the absence of routines (n = 137; 43%). Strategies included videoconferencing (n = 283; 88%), altering timelines and expectations (n = 180; 56%). Scientists and staff experienced interference with their research when they shifted to remote work, causing many to slow or stop research programs. Methods to enhance communication and relationships, support productivity, and collectively cope during remote work are available.