Health systems currently underutilize systematic reviews. Here, we describe a proof of concept project designed to augment the standard systematic review process by presenting qualitative information as a companion to a review on deprescribing interventions. We conducted a thematic analysis of semi-structured interviews with Veterans Health Administration clinicians and Veterans to describe first-hand experiences of engaging in the deprescribing process. Qualitative findings were incorporated into an interactive, web-based product designed to supplement the systematic review report. Preliminary evaluation suggests that integration of narratives as a companion to systematic reviews is of interest to frontline clinicians, researchers, and health system administrators.

OBJECTIVES/GOALS: Metabolic syndrome (MetSyn) is a risk for World Trade Center-Lung Injury (WTC-LI; defined as developing FEV1<lower limit of normal [LLN]). Metabolic health is a modifiable disease risk factor. We propose to characterize how time-dependent covariates of MetSyn are longitudinally associated with WTC-LI. METHODS/STUDY POPULATION: WTC-particulate exposed firefighters, consented, with pre-9/11 FEV1 LLN (N = 5,746). Data assessed from last pre-9/11 till August 1, 2017. Longitudinal MetSyn characteristics were assessed using 3 models: i. A linear mixed effect model to assess the effect size of longitudinal MetSyn and its components on longitudinal FEV1% predicted as an outcome; ii. a time-dependent Cox regression to assess the associations of MetSyn to time of onset of WTC-LI; iii. a novel, partially linear single index regression model with repeatedly measured MetSyn to assess their joint effects and delineate their relative contribution on the longitudinal lung function in the WTC-FDNY cohort. RESULTS/ANTICIPATED RESULTS: In Model I, BMI 30 kg/m2 had the largest effect size compared to ever-smoking, with −2.524 (95%CI: −2.708,−2.340) compared to −1.681(−2.325,−1.038) respectively. Having MetSyn, defined as 3/5 risk factors, had an effect size of −2.319(−2.526,−2.112). In Model II, hazards of triglycerides 150mg/dL were highest at 1.497(1.336, 1.677), followed by BMI 30 kg/m2 at 1.406(1.256, 1.575), and HDL<40mg/dL 1.355(1.176-1.561), compared to ever-smoking (1.201, p = 0.002). Having high exposure to PM by being present in the morning of 9/11 was a significant covariate only in Model II investigating HDL<40mg/dL or triglycerides 150mg/dL. Model III The proposed methods will be applied to our cohort study. DISCUSSION/SIGNIFICANCE OF IMPACT: MetSyn is both a predictor and concurrent marker of WTC-LI. The single index model can not only reduce dimensionality of the covariates, but also provides efficient estimates of the joint MetSyn effects, allowing linear or nonlinear effects. Future studies will investigate dietary intervention as a potential disease-modifying factor. CONFLICT OF INTEREST DESCRIPTION: NA, nothing to disclose.

OBJECTIVES/SPECIFIC AIMS: Engaging patients and consumers in research is a complex process where innovative strategies are needed to effectively translate scientific discoveries into improvements in the public’s health (Wilkins et. al., 2013; Terry et. al., 2013). The Clinical Translational Science Awards (CTSA)—supported by the National Institute of Health (NIH) under the auspices of the National Center for Advancing Translational Sciences (NCATS)—aim to provide resources and support needed to strengthen our nation’s clinical and translational research (CTR) enterprise. In 2008, Stanford University was awarded a CTSA from the NIH, establishing Spectrum (Stanford Center for Clinical and Translational Research and Education) and its Community Engagement (CE) Program aimed at building long-standing community-academic research partnerships for translational research in the local area surrounding Stanford University. To date, the CE Pilot Program has funded 38 pilot projects from the 2009-2017 calendar year. The purpose of this study was to understand, through a unique pilot program, the barriers, challenges, and facilitators to community-engaged research targeting health disparities as well as community-academic partnerships. METHODS/STUDY POPULATION: Investigators conducted a qualitative study of the community engagement pilot program. Previous pilot awardees were recruited via email and phone to participate in a one-hour focus group to discuss their pilot project experience—describing any barriers, challenges, and facilitators to implementing their pilot project. RESULTS/ANTICIPATED RESULTS: The focus group revealed that community engage research through the pilot program was not only appreciated by faculty, but projects were successful, and partnerships developed were sustained after funding. Specifically, the pilot program has seen success in both traditional and capacity building metrics: the initial investment of $652,250.00 to fund 38 projects has led to over $11 million dollars in additional grant funding. In addition, pilot funding has led to peer-reviewed publications, data resources for theses and dissertations, local and national presentations/news articles, programmatic innovation, and community-level impact. Challenges and barriers were mainly related to timing, grant constraints, and university administrative processes. DISCUSSION/SIGNIFICANCE OF IMPACT: The Community Engagement Pilot Program demonstrates an innovative collaborative approach to support community-academic partnerships. This assessment highlights the value and importance of pilot program to increase community engaged research targeting health disparities. Challenges are mainly administrative in nature: pilot awardees mentioned difficulties working on university quarterly timelines, challenges of subcontracting or sharing money with community partners, onerous NIH prior approval process, and limitations to carryover funding. However, pilot grants administered through the program strengthen the capacity to develop larger scale community-based research initiatives.

OBJECTIVES/GOALS: The objective for this study was to evaluate the associations between weight stigma and symptoms of depression, anxiety, and binge eating following bariatric surgery. METHODS/STUDY POPULATION: Bariatric surgery is the leading evidence-based treatment for severe obesity; however, mental health challenges can compromise long-term improvements in quality of life. Weight stigma is a major contributor to mental health challenges for individuals with obesity generally; however, the role of weight stigma post-operatively after significant weight loss is poorly understood.148 patients underwent pre-bariatric surgery psychological evaluation and completed a follow-up study approximately 2 years after. Measures included the Stigmatizing Situations Inventory-Brief, Patient Health Questionnaire, Generalized Anxiety Questionnaire, and Binge Eating Scale. RESULTS/ANTICIPATED RESULTS: In regression models controlling for demographic covariates (sex, age, education, race), body mass index, and baseline measure of each outcome (e.g., depressive symptoms pre-surgery in models predicting depression post-surgery), weight stigma was independently associated with depression (p=.023), anxiety (p <.001), and binge eating (p=.008) symptoms post-surgery.Above and beyond weight, demographics, and pre-surgery measurements of mental health, weight stigma continues to influence mental health outcomes in the years following bariatric surgery. Despite weight loss after bariatric surgery, this data suggests the cumulative experiences of stigma and discrimination continue to negatively impact mental health. DISCUSSION/SIGNIFICANCE: Interventions for bariatric surgery patients must consider the effects of weight stigma, at both the societal and individual levels. Interventions countering stigma could optimize long-term quality of life and associated outcomes.

OBJECTIVES/SPECIFIC AIMS: We evaluated the accuracy of diagnosis and procedure codes to identify acute urinary retention (AUR) due to lack of existing validation studies. METHODS/STUDY POPULATION: We performed a cross-sectional validation study at a single medical institution in the emergency department (ED) and outpatient Urology Clinic in men ≥45 years. International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes 788.20, 788.21, 788.29 for urinary retention and Current Procedural Terminology, Fourth Edition (CPT-4) codes 51701, 51702, 51703 for urinary catheterization were used to identify men with potential AUR. Four algorithms using ICD-9-CM and CPT-4 codes were compared against medical record review. Sensitivity, specificity, positive predictive value, negative predictive value, and area under the curve were calculated for both the ED and Urology Clinic. RESULTS/ANTICIPATED RESULTS: A total of 333 treated and released men in the ED were identified using facility billing data, and 245 men using physician billing data in the Urology Clinic were identified using the codes for urinary retention or urinary catheterization. Of the 4 algorithms, any ICD-9-CM diagnosis code for urinary retention was the preferred algorithm with a sensitivity and specificity of 0.95 and 0.91 using ED facility billing data and a sensitivity and specificity of 0.95 and 0.58 using Urology physician billing data. DISCUSSION/SIGNIFICANCE OF IMPACT: Use of the ICD-9-CM diagnosis codes for urinary retention performed well at identifying AUR in the ED. This study provides justification to use urinary retention diagnosis codes (specifically 788.20 and 788.29) in future studies to identify AUR using administrative data, especially in the ED.

OBJECTIVES/SPECIFIC AIMS: The objective of this study was to determine if trimethylamine N-oxide (TMAO) alone could acutely alter cardiac contractile function on a beat-to-beat basis. METHODS/STUDY POPULATION: CD1 adult mouse hearts were extracted, attached to a force transducer, oxygenated, and paced within an organ bath. Changes in contractility were measured after pipetting or reverse perfusing TMAO through the aorta via a modified Langendorff apparatus to facilitate TMAO delivery into the myocardium. To determine if our findings translated to the human heart, we performed contractility experiments using human right atrial appendage biopsy tissue retrieved during cardiopulmonary bypass procedures. To investigate whether TMAO alters contractile rate, in a separate series of experiments, the atria and sinoatrial node of isolated hearts were kept intact to allow for spontaneous beating without artificial pacing and were treated with TMAO or vehicle. In addition, intracellular calcium measurements were performed on spontaneously beating embryonic rat cardiomyocytes after TMAO or vehicle treatment. RESULTS/ANTICIPATED RESULTS: We found acute exposure to TMAO, diluted into the organ bath, increased average contraction amplitude 20% and 41% at 300 µM and 3000 µM, respectively (p<0.05, n=6). Langendorff reverse perfusion of mouse hearts ex vivo with 300 µM TMAO generated an even greater response than nonperfusion peripheral exposure and increased isometric force 32% (p<0.05, n=3). Consistent with what we observed in mouse hearts, incubation of human atrial muscle tissue with TMAO at 3000 µM increased isometric tension 31% compared with vehicle (p<0.05, n=4). TMAO treatment (3000 µM) also increased average beating frequency of ex vivo mouse hearts by 27% compared with vehicle (p<0.05, n=3) and increased the spontaneous beating frequency of primary rat cardiomyocytes by 13% compared with vehicle treatment (p<0.05, n=4). DISCUSSION/SIGNIFICANCE OF IMPACT: TMAO, at pathological concentrations, directly increases the force and rate of cardiac contractility. Initially, these inotropic and chronotropic effects may be adaptive during CKD; however, chronic increases in isometric tension and beating frequency can promote cardiac remodeling and heart failure. Further translational studies are needed to understand the intricate relationship between the microbiome, kidneys, and heart and to examine if TMAO represents a therapeutic target for reducing cardiovascular mortality in CKD patients.

Clinical and translational science is vitally dependent on the nation’s underlying health-care policies and programs. In a reciprocal fashion, data generated by clinical and translational research can inform both health policy and health-care delivery. It is important, therefore, to rate health reform proposals comprehensively on a set of criteria that reflect the broad goals of reform, including the potential impact on clinical and translational science and medical education. I propose that the criteria include achieving universal coverage, reducing administrative costs, retaining one’s chosen primary care physician, encouraging care coordination, empowering physicians, freeing industry from choosing and administering health plans, providing choice of specialists and hospitals, providing patient education, preventing patient overuse of services, rationalizing resource allocation, encouraging competition, limiting government’s role, supporting medical education, training, and research, and freeing industry to make personnel decisions based on business criteria rather than the impact on health-care costs to the company. I discuss the rationale for each element and offer a rating of current proposals relative to a proposal previously made.

ABSTRACT IMPACT: This work investigates C. difficile strains in soil as a potential exposure for gut colonization and community-acquired infection of C. difficile. OBJECTIVES/GOALS: Identifying environmental sources of C. difficile can inform how non-hospital reservoirs can potentially contribute to C. difficile exposure and subsequent gastrointestinal colonization. The objective of the study was to identify C. difficile and toxin genes across various soil sources. METHODS/STUDY POPULATION: This was a cross-sectional study utilizing soil samples obtained throughout Texas, USA. All samples were collected between August and November of 2019 and 2020. Samples were taken from human and animal high contact areas, such as recreational parks. Samples were stored at -80oC until processing. DNA extractions were performed using the DNeasy Powersoil Pro Kit (Qiagen) per manufacturer’s instructions. Real-time PCR was also performed on extracted DNA using the Microbial DNA qPCR Multi-Assay Kit for Clostridium difficile Pathogenicity (Qiagen) for the identification of C. difficile, toxin A (TcdA), and toxin B (TcdB) genes. RESULTS/ANTICIPATED RESULTS: A total of 137 soil samples including dry dirt, sand, and wet soil near water sources were collected and processed for the presence of C. difficile. These included samples from parks and trails (42.3%), water sources (36.5%), and other public spaces (21.2%). C. difficile was identified in 59 (43.1%) soil samples: 6 (4.4%) with Toxin A and 2 (1.5%) with toxin B production. C. difficile was most prevalent among samples taken from parks and trails (50.0%), followed by other public spaces (48.3%), and water sources (32.0%). The median (IQR) Cq value for the C. difficile gene was 39.24 (33.45-40.47) among samples that tested positive. DISCUSSION/SIGNIFICANCE OF FINDINGS: We identified a high prevalence of Clostridioides difficile in soil samples, though toxin gene detection prevalence was low. Future studies will analyze other sources, including water and varying surface samples to obtain a comprehensive view of C. difficile in the environment.

OBJECTIVES/GOALS: A growing number of older adults in the United States have multiple social determinants of health (SDoH) that are barriers to effective medical care. We used generalizable machine learning methods to identify and visualize subtypes based on participant-reported SDoH profiles, and their association with delayed medical care (self-reported yes/no). METHODS/STUDY POPULATION: Data. All participants aged >=65 in All of Us with complete data on 18 SDoH self-reported variables, selected through consensus by 2 experienced health services researchers, and guided by Andersen’s behavioral model. Covariates included demographics, and the outcome was delayed medical care . Cases (n=4090) consisted of participants with at least one of the 18 SDoH variables, and controls (n=7414) consisted of participants with none of them. Method. (1) Used bipartite network analysis and modularity maximization to identify participant-SDoH biclusters, and visualize them through ExplodeLayout. (2) Used multivariable logistic regression (adjusted for demographics and corrected through Bonferroni) to measure the odds ratio (OR) of each participant bicluster to the outcome, compared with the controls. RESULTS/ANTICIPATED RESULTS: The analysis identified 7 SDoH subtypes (https://postimg.cc/Vd7Pg4xZ) with statistically significant modularity compared with 100 random permutations of the data (All of Us=.51, Random Mean=.38, z=20, P DISCUSSION/SIGNIFICANCE: The results identified 7 distinct subtypes based on SDoH profiles and their risk for delayed medical care, highlighting the importance of addressing specific combinations of barriers, with affordability having the highest risk. Furthermore, the analytical methods used are generalizable and have been made publicly available on CRAN and All of Us.

OBJECTIVES/SPECIFIC AIMS: To access obesity risk perceptions, knowledge and behaviors of Hispanic taxi cab drivers and develop a better understanding of the factors that influence health outcomes in this population. METHODS/STUDY POPULATION: Focus groups were conducted at NYC H+H/Lincoln, where subjects were screened and recruited from taxi bases with the help of the local Federation of Taxi Drivers. This was done by utilizing flyers, messages through taxi-base radios, and referrals from livery cab drivers. Approval from the local Institutional Review Board was obtained. The research investigators, developed a structured focus group procedural protocol of open-ended interview questions related to cardiovascular disease. Participants for the focus groups were older than 18 years old and working as livery cab drivers in NYC for at least 6 months. Three focus groups were held with informed consent obtained from each participant in their primary language before the start of each session. After completion of the focus group, participants received a gift voucher for attending the approximately 1-hour session. Focus groups were moderated by trained research staff members at Lincoln. Three main categories of questions were organized based on perception, knowledge, and behavior. Participants were questioned on topics about obesity, CVD and diabetes knowledge; knowledge about etiology, risk perception, possible prevention and interventions. Responses were recorded using audiotapes and transcribed verbatim. If participants did not elaborate on the initial question, a probing question was asked to clarify. The transcript was translated from Spanish by trained bilingual staff and analyzed using standard qualitative techniques with open code method. Four research investigators read the transcript separately and formulated concepts, which were then categorized and formulated into dominant themes. These themes were then compared and analyzed with a group consensus to ensure representative data. Once recurring themes emerged and the saturation point was reached, the study concluded, after enrolling 25 participants. The Health Believe Model (HBM) was employed to understand and explain the perceptions and behaviors of taxi drivers. HBM is one of the most widely recognized models and is used to understand, predict and modify health behavior. HBM helps to identify perception of risks of unhealthy behavior, barriers for having healthy behavior, actions taken by patients to stay healthy, self-efficacy and commitment to goals [12]. RESULTS/ANTICIPATED RESULTS: Of the 25 Hispanic livery cab drivers, 92% were male. The majority of taxi drivers that participated in the study were immigrants (96%), with a mean age of 53 years (ranged 21–69), and 92%, were spoke Spanish. In total, 52% participants identified themselves as Hispanic, 20% White, 4% Black, and 20% did not identify their race. Mean body mass index (BMI) was 31 (22.8–38.7) kg/m2. In all, 56% were obese and another 40% were overweight. From this sample, 50% had been diagnosed with hypertension and 27% were living with diabetes. In all, 64% had a high school education or higher. Answers provided by the taxi drivers to focus group questions were recorded, reviewed and divided into 8 dominant themes based on concepts that emerged from the focus groups discussions. (a) Focus group study findings: Themes recorded during the focus group discussions, include poor diet, sedentary lifestyle, comorbidities/risk factors, stress, health not being a priority, discipline, education, and intervention. Participants shared their opinions in regards to these themes with minimal differences, making an emphasis on the fact that the nature of their profession was the root cause. Of the themes, the top 3 dominant themes include poor diet, sedentary/lifestyle and comorbidities/risk factors. (1) Diet: The theme “Poor diet” evolved from 151 related concepts that were described by participants. All 25 participants perceived their diet as bad due to eating high-fat meals associated with the cultural food and restaurant chains with lower food prices and ease of car parking. Drivers also reported that they did not have enough time to eat healthy foods based on their long working hours. They say: “comemos muy tarde por que preferimos montar un pasajero” … stating that they preferred to pick up passengers and delay their meals. However, they consider poor diet as the most decisive factor in their increased risk for obesity, diabetes, and hypertension. (2) Life Style: The theme “Sedentary lifestyle” was derived from 147 similar concepts described by participants. They believe that physical inactivity is another leading risk factor for obesity, diabetes, and CVD. The demands of the profession force them to drive more than 10 hours per day. They understand the importance of daily exercise but they admit that at the end of the workday they are too tired to exercise or “stop working” to participate in exercise as this means less money. They also understand that family history of obesity in addition to poor diet increases their risk of obesity, diabetes, and cardiovascular risks. (3) Comorbidity: The theme “Comorbidities” developed from 143 concepts grouped together. Taxi-drivers perceived that obesity complications directly affects many vital organs, such as the kidneys, the heart, and vasculature. Participants perceive obesity as important risk factor for high blood sugar and cholesterol levels. Taxi drivers see an association between their health condition and their work as a taxi driver. However, taxi-drivers reported that they are more concerned about the economic well-being of their families than themselves. Taxi-drivers begin to intervene in their own health only when more serious health conditions related to obesity, diabetes, and hypertension developed. (4) Work Stress: The theme “Stress/other risk factors” was derived from 141 concepts. Taxi-drivers perceive their profession with lack of organization and high-stress levels as one of the leading risk factors contributing to obesity, diabetes, and cardiovascular disease. They also attribute a combination of stressful lifestyle, poor diet, lack of exercise, consumption of alcohol and cigarettes as determining factors in developing negative health outcomes. “One participant says; Tenemos el paquete completo” … we have the entire package. (5) Health as a priority: The theme “Health is not a priority” was derived from 120 concepts based on the cab drivers’ responses. Taxi drivers prioritize their work while their health takes a back seat. They work long shifts as they feel the pressures of financial responsibilities of their family. They admitted lack of intentions to change their behavior and they consider themselves as “hard headed.” Drivers changed their behavior only when serious health conditions develop that require professional medical attention. Taxi drivers explain that the lack of time as being a big factor in pursuing preventative care. (6) Personal Discipline: The theme “Discipline” evolved from 80 concepts derived from the driver’s transcripts. Taxi drivers are aware of their lack of organizational skills in general, especially when it comes to the balance between work and a healthy lifestyle. Taxi drivers recognize that not being disciplined results in the development of their obesity and chronic health conditions. Drivers admit that they do not have a fixed schedule, with no direct supervision, and cannot find the time to go to the doctor or change their behavior. (7) Health Education: The theme “Education” was derived from79 concepts noted from the focus group discussion. Taxi drivers know that their lack of health education is affecting them. With little understanding about the severity of the disease process it is difficult to take proactive measures. They are interested in the development of programs that will educate them about obesity, diabetes and CVD prevention. They want to attend programs that can educate them about prevention of obesity, diabetes, and CVD prevention with strong focus on healthy eating. They understand that this would increase their ability to change their unhealthy behavior. (8) Health interventions: The last major theme “Intervention” was derived out of 71 concepts. When asked about possible interventions that might help them towards healthy behaviors, taxi drivers think that the use of technology as a means of education is very effective. They understand the most direct route to reach them is by cellphone, email, and social media such as Facebook. They also feel that it would be good to use this type of communication to not only to inform them about health issues, but to also educate them directly. (b) Application of Health Behavior Model: We employed the HBM, one of the most utilized and easy to understand health models (18, 20–22) to explain the knowledge, perception, and health behaviors of our study participants. The HBM consist of 6 posits: (1) risk susceptibility, (2) risk severity, (3) benefits of action, and (4) barriers to action, (5) self-efficacy, and (6) cues to action [23]. According to the HBM, people’s beliefs about their risk and their perception of the benefits of taking action to avoid it, influence their readiness to take action [15, 21–22, 24]. Using the HBM, health behavior can be modified positively if the 6 posits are perceived by the person [23]. According to the results of our study, taxi drivers that participated in our study, do not perceive the severity of their risk. Participants admitted that they go to the doctor and start paying attention to their health condition only when they get seriously sick. Another posit of the HBM, understanding benefit of actions, is also not perceived by taxi drivers. Participants understand that they should be involved in physical activity, but do not pursue physical activity. They stated that they are too busy and tired to exercise daily without realizing the benefits of having a healthy life style. Findings from the focus groups also demonstrate that taxi drivers do not possess self-efficacy, as they are not confident that they are able to change their own health behavior. They openly admitted to having poor discipline, lack of organizational skills, and lack of time management skills. But, they expressed their wish to get information about time management, healthy snacks, places where they can get affordable and healthy food, learn more about different physical activities, and places where they can exercise. The sixth posit of the HBM model is the cues for action which should trigger the action to change behavior. Cues such as physical pain or illness in them or family members of cab drivers, trigger a visit to the physician’s office. Cab drivers were open to receiving educational material provided by physicians or health information provided on TV/cellphone about disease prevention. DISCUSSION/SIGNIFICANCE OF IMPACT: Obesity is steadily on the increase in the US population and has become a major public health concern [1–3]. Latinos are at the higher risk of heart diseases such as obesity, hypertension compared to other ethnical groups [3, 13]. There is a higher prevalence of obesity among particular occupational groups with cab drivers having one of the highest obesity prevalence among all professions [5, 7–9, 13]. Obesity risks therefore seem to affect NYC cab drivers who are of Latino background more than others. Surveys conducted in different countries in Asia, Europe, and Africa reported that taxi, truck, and bus show that drivers are at a higher risk of developing obesity, diabetes, and hypertension [5, 8–11]. This study is the first to evaluate the knowledge, perception, and behaviors of NYC Latino taxi cab drivers with respect to obesity. The study uncovers factors and barriers that contribute to their behavior, and identify possible ways that can modify their behavior and decrease their chances of developing obesity. The study results demonstrated that Latino immigrant taxi drivers perceive themselves at a high risk for obesity development. As the result of discussions with focus groups, the eight dominant themes were identified. Participants perceive their risk susceptibility and understand that working as a driver is a sedentary occupation with lack of physical activity significantly contributing to obesity development. Additionally, taxi drivers report that their unhealthy diet is a major factor that contributes to their weight gain. Taxi drivers perceive their poor diet as the result of the food they consume being high in fat content. Due to financial constraints and their cultural diet requirements, they feel limited to unhealthy food options. They acknowledge the risk that poor diet contributes to obesity, high cholesterol, obesity development. Participants also expressed that work stress is another important factor. Busy traffic, lack of organization, financial stress to support their families-push them to work prolonged hours. Participants also admitted that in their leisure time, they use alcohol, smoke cigarettes, and watch TV, instead of going to the gym, because they feel too tired to exercise. Taxi drivers perceive their barriers as a lack of education and knowledge about healthy food choices, places where they can buy healthy affordable snacks, information about physical activities, stress management skills, and organizational skills. Other perceived barriers that prevent them from leading healthy lifestyle include lack of discipline, lack of time for physical activity, economic uncertainty, financial responsibility and the perception that the wellbeing of their families is more important than themselves and their health. HBM is a widely used model that helps to identify perception of risks of unhealthy behavior, barriers to healthy behavior, actions taken by patients to stay healthy, self-efficacy, and commitment to goals. Based on the Glasgow theory, the core of health behavior models is the identification of the barriers and self-efficacy [25]. Our study is unique as it involves using the HBM to explain the basis of taxi cab drivers’ behavior. Results of our research study showed that our participants perceived barriers very well. However, lack of self-efficacy, lack of perceiving benefits of action, lack of cues to action, and lack of understanding the risk of disease severity explain why taxi drivers have greater risk for obesity among occupations, and are not ready to embrace health behavior modification. This qualitative study shows us where the window of opportunity for intervention lies, how we can intervene and modify the health behavior of the at-risk NYC Latino cab driver population. By Glasgow theory, self-efficacy is an important factor in behavior modification models [25]. If the barriers that are perceived by participants as too high, and self-efficacy is low, one can intervene by improving self-efficacy. Bandura has offered ways to increase patients’ self-efficacy by using three strategies: (a) setting small, incremental, and achievable goals; (b) using formalized behavioral contracting to establish goals and specify rewards; and (c) monitoring and reinforcement, including patient self-monitoring by keeping records [20]. We can also improve perception of the benefits of action by providing cues to action namely education during the office visits, by providing reading materials, and the use of modern technology (emails, interactive Web sites, apps, etc.). A study was conducted in South Asia, encouraging taxi drivers to exercise through the use of pedometers [7]. This study provides an example of ways to motivate taxi drivers, improve their self-efficacy, overcome barriers, and provide cues to action. As one of the theories that can explain and help in behavioral modification, the Health Belief model includes the impact of the environment and elements of social learning. Using this model, we were able to differentiate and identify the factors that influence their behavior that need to be addressed by health care workers and public health representatives to improve obesity related risks among inner city taxi cab drivers in NYC.

OBJECTIVES/GOALS: Use an easily accessible medium to educate life science researchers and academic innovators interested in the commercialization of academic research at the University of Michigan (UM). METHODS/STUDY POPULATION: Life science research investigators and academic innovators interested in research commercialization and technology development from across the state of Michigan were invited to attend the Idea to Impact: The Translation & Commercialization of Academic Research webinar series, presented by Fast Forward Medical Innovation at the University of Michigan. The webinar series outlined the significance and critical milestones of developing novel therapeutics, medical devices, diagnostics, and digital health innovations, as well as essential collaborations with industry partners to translate a research-based idea into a product of impact. RESULTS/ANTICIPATED RESULTS: 113 investigators and innovators from 28 different institutions, organizations, and companies, registered for the webinar series. Results (N=24) of an evaluation immediately following each webinar revealed that 100% of respondents strongly agreed or agreed that the series was effective in helping them to identify and describe commercialization resources, including funding, education, and mentorship, available at the University of Michigan and within the state. Participants stated that they “loved the practical information” “shared” and that the series was a “great overview that inspired a lot more questions.” The Fast Forward Medical Innovation team was then able to consult with participants to connect them with additional resources. DISCUSSION/SIGNIFICANCE: The data suggests that easily accessible and digestible commercialization education can make navigating the academic entrepreneurial ecosystem easier for investigators and innovators. The recorded webinar series, Idea to Impact: The Translation & Commercialization of Academic Research, serves this purpose.

OBJECTIVES/GOALS: The goal of the CTSA consortium is to move scientific discoveries to clinical application. Translational science (TS) focuses on the process by which this happens, and NCATS supports pilot projects that propose TS questions. We are developing a rubric to guide program managers’ability to discriminate between TS and translational research (TR). METHODS/STUDY POPULATION: The CTSA External Review Exchange Consortium (CEREC) and CEREC II are reciprocal review collaborations between CTSA hubs that identify reviewers for each other’s pilot grant applications. CEREC and CEREC II partners developed a 31-item rubric, based on NIH’s Translational Science Principles, for discriminating pilot TS grant applications from those proposing TR. The hubs contributed proposals pre-selected as either TS or TR projects. Then, experienced reviewers and/or program administrators from the hubs used the rubric to score each of the proposals. Reliability of the rubric will be assessed using inter-rater reliability (% agreement and kappa). To identify which of the items in the rubric best discriminate between TS and TR, Item Response Theory analysis will be employed. RESULTS/ANTICIPATED RESULTS: Ten CEREC participating hubs submitted 30 applications: 20 TS proposals and 10 TR proposals. Twenty-two reviewers from 12 CEREC hubs evaluated the applications by using the scoring rubric; at least two reviewers evaluated each proposal. The results of the analyses will describe the reliability of the rubric and identify which of the seven TS Principles are most useful for distinguishing between TS and TR pilot grant proposals. Ultimately, this work will yield a scoring rubric that will be disseminated throughout the CTSA network to facilitate the screening of TS applications. DISCUSSION/SIGNIFICANCE: Optimizing research processes is critical to ensure that scientific discoveries are integrated into clinical practice and public health policy as rapidly, efficiently, and equitably as possible. By appropriately identifying and funding TS projects, CTSA hubs can accelerate the impact of clinical and translational research.

OBJECTIVES/SPECIFIC AIMS: Missing data is a common problem in research studies that may lead to inconclusive or inaccurate results. It may even lead to harm secondary to wrong research conclusions. The purpose of this ancillary study is to measure the differences in missing data following implementation of a variety of mechanisms to improve data quality and documentation in a global quality improvement study. Many of the sites involved in the study were in low-income or middle-income countries with minimal research infrastructure. Missing data is defined as “values that are not available that would be meaningful for analysis if they were observed” (The prevention and treatment of missing data, New Engl J Med 367; 14, nejm.org, October 4, 2012). METHODS/STUDY POPULATION: All study sites used REDCap software to enter various data points including hospital and ICU admission and discharge dates as well as whether items on a Checklist relevant to processes of care in the ICU were reviewed. After initial general data collection phase, we categorized data as “must have” and “good to have.” “Must have” variables were defined as data variables that were essential for the study outcomes. “Good to have” variables would not affect the main outcomes of the study if missing. We measured completeness of data using the in-built REDCap data quality check feature. We used several strategies to encourage reduction of missing data. We initially did random data checks but noted that the amount of missing data was substantial and could not be adequately addressed this way. Second, we created excel sheets highlighting missing data for each site and notified sites. This proved onerous to create and made it burdensome for sites to identify easily where data was missing. Third, we built a custom report form in REDCap specifically able to identify which “must have” data points were missing. This could be easily accessed by the principal investigator at each site and made completing the data forms more straightforward. We encouraged all sites to complete their data collection by sending weekly data reports to each site highlighting the patients with missing data. An instructional YouTube tutorial was also created and the link was shared with all sites to demonstrate how to use the custom built report form in REDCap and how to appropriately fill in the missing data. Since this was a global study, we communicated with sites using a variety of locally favored mechanisms including Zoom, FaceTime, WeChat, WhatsApp as well as email. By harnessing the buy-in of local champions our approach was successful. RESULTS/ANTICIPATED RESULTS: The total number of patients recruited for the CERTAIN study is 4843. The rate of all missing variables improved with the efforts described above. Hospital admission dates were missing in 8.4% pre efforts and 4.2% post efforts (p<0.01). ICU admission dates were missing in 5.5% pre and 2.0% post (p<0.01). Documentation of completion of processes of care (including central line review, urinary catheter review, consideration for blood transfusion) improved significantly from pre to post (p<0.01). DISCUSSION/SIGNIFICANCE OF IMPACT: Missing data can be a problem in all types of research studies. This study provides some preliminary evidence for effective approaches that can reduce the problem of missing data when conducting a global study at sites with limited research infrastructure in place. By addressing the concern about missing data, we can be more confident that our results can be accurately analyzed and interpreted, improving the quality of the research.

ABSTRACT IMPACT: This research highlights Adverse Childhood Experiences as a potential risk factor and intervention target contributing to the disproportionate number of individuals with sickle cell disease affected by asthma, a well-established catalyst to the increased morbidity and mortality impacting this high-risk population. OBJECTIVES/GOALS: Adverse Childhood Experiences (ACEs) are strongly associated with asthma. A disproportionate number of individuals with sickle cell disease (SCD) also have asthma. Asthma is strongly associated with increased SCD morbidity and mortality. This study compared the prevalence of asthma among children and adolescents with SCD with and without ACEs. METHODS/STUDY POPULATION: This retrospective cohort study involved 45 children and 30 adolescents with SCD. ACEs were captured using the Center for Youth Wellness Adverse Childhood Experiences Child and Teen Questionnaires, which encompass the original 10 ACEs as well as 7 (child) and 9 (teen) expert-recommended ('expanded') ACEs. ACE exposures were categorized as: Original 0-1 vs. ≥2; Original + Expanded 0-1 vs. ≥2. Asthma prevalence was compared among ≥2 and 0-1 ACE groups using the chi-square (or Fisher’s exact) test. A binary logistic regression was performed to predict the likelihood of asthma while adjusting for characteristics (age, household income and gender) that were statistically different among ACE comparison groups at baseline. RESULTS/ANTICIPATED RESULTS: Among the 45 child participants, 64% had a history of asthma; whereas 50% of teens had a history of asthma. Asthma prevalence was higher among teens with ≥2 vs. 0-1 Original ACEs (89% v. 33%, p=0.014). A history of ≥2 ACEs remained significant (p=0.024) among teens after adjusting for age, household income and gender. There was no significance in asthma prevalence among child ACE comparison groups. DISCUSSION/SIGNIFICANCE OF FINDINGS: Adolescents with ≥2 ACEs had a higher prevalence of asthma compared to subjects with 0-1 ACE. This study, coupled with the cumulative nature of ACEs and the graded-dose response relationship between ACEs and poor health outcomes, highlight the need for larger, longitudinal studies examining the relationship between ACEs, asthma and SCD outcomes.