bluuebunny/crossref_metadata_2025 huggingface dataset:
10543 Assessing Sexual Health Services at a public university in the Deep South
Authors: Camino Andres , Whitfield Meghan , Van Wagoner Nicholas
Published: March 2021

ABSTRACT IMPACT: Our work helps show universities that embedding dedicated sexual health clinics within university health and wellness clinics may expand the amount of students they see for sexual health screenings during a time of increased sexual behavior and exploration. OBJECTIVES/GOALS: The National College Health Association reports that college students have frequent, condomless sex. Student health and wellness clinics (SHWC) offer sexual health services, but few have dedicated sexual health clinics (SHC). We evaluated sexual health service use at a university SHWC after implementation of a dedicated SHC two half-days per week. METHODS/STUDY POPULATION: This was a retrospective analysis of data collected from patients receiving sexual health screening at the University of Alabama at Birmingham (UAB) SHWC between January 2015 and June 2019. Demographic variables, sexual behaviors, reason for testing, and rates of STIs were extracted from the electronic medical record and were compared by clinic (SHC vs. SHWC). Data on screening visits of patients over 18 were included in the final analysis. Variables were summarized with frequencies and percentages. Univariate models were fit, and multi-variable models will be fit, selecting variables with p values of 0.1 or less. Odds ratios with corresponding 95% confidence intervals for univariate analysis are presented. The study was approved by the UAB Institutional Review Board. RESULTS/ANTICIPATED RESULTS: A total of 5025 STI screenings were performed. Males (OR 4.13; 3.61-4.72), undergraduates (OR 1.33; 1.15-1.54), and persons reporting sex with the same sex (OR 1.88; 1.56-2.28), were significantly more likely to seek care at the SHC. Students with symptoms were more likely to seek care at the SHWC (OR 0.53; 0.47-0.61), while persons who reported contact with STIs were more likely to seek care at the SHC (OR 2.88; 2.22-3.74). The overall percentage of positive screenings was 9.3% for chlamydia (CT), 3.0% for gonorrhea (GC), 0.8% for trichomoniasis (TV), 0.7% for syphilis, and 0.3% for HIV with higher percentages of positive for CT (OR 1.60; 1.30-1.96) and GC (OR 2.02; 1.44-2.85) in the SHC. A greater percentage of positives for TV (OR 0.37; 0.14-0.96) was found in the SHWC. DISCUSSION/SIGNIFICANCE OF FINDINGS: Based on demographics of persons utilizing services, embedding a dedicated SHC within a university SHWC may expand populations reached for STI screening. With higher percentages of patients testing positive for CT and GC, a SHC may allow for greater diagnosis and treatment of STIs in general screening and persons presenting as contacts.
11626 Impact of Preeclampsia on the Incidence of Breast Cancer in the Black Women’s Health Study
Authors: Bigham Zahna R.
Published: March 2021

ABSTRACT IMPACT: This study will be the first to explore the relationship between preeclampsia and breast cancer risk using the largest cohort of Black women in the US, and it will guide future research and potentially inform clinical practice to reduce breast cancer disparities in this population. OBJECTIVES/GOALS: Black women are disproportionately impacted by preeclampsia. This disorder induces hormonal changes that may contribute to diseases such as breast cancer. However, there is a lack of clear data on the relationship between preeclampsia and breast cancer, and few previous studies included Black women. This study will work to fill this knowledge gap. METHODS/STUDY POPULATION: We prospectively assessed the association between preeclampsia during pregnancy and risk of breast cancer in 43,040 parous women in the Black Women’s Health Study, a nationwide cohort of Black women who were ages 21 -69 at enrollment in 1995. Through 2017, we confirmed 1,968 incident diagnoses of invasive breast cancer. Approximately 6% of parous women reported a diagnosis of preeclampsia; characteristics of the population at baseline are shown in Table 1. We used multivariable Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for risk of breast cancer overall. We used age as the time scale and adjusted for breast cancer risk factors including parity, age at first birth, age at menarche, and body mass index (BMI) at age 18. RESULTS/ANTICIPATED RESULTS: : Compared to parous women without a history of preeclampsia, women with a history of preeclampsia in any pregnancy were not at an increased risk of breast cancer overall (HR 0.98; 95% CI 0.81, 1.18). These preliminary results suggest that history of preeclampsia is not an important risk factor for breast cancer overall in Black women. Our analyses are ongoing to evaluate whether the association may vary by estrogen receptor status or within subgroups of the population defined by age, menopausal status, BMI, and time since last pregnancy. DISCUSSION/SIGNIFICANCE OF FINDINGS: Findings from this study will provide unprecedented knowledge on the association between hypertensive diseases during pregnancy and incidence of breast cancer in the largest cohort of Black women in the U.S.
53034 Melatonin use and occurrence of respiratory illnesses
Authors: Bowen Hannah M. , Wintrob Zachary A.P. , Ceacareanu Alice C.
Published: March 2021

ABSTRACT IMPACT: Melatonin use could alleviate virus-induced respiratory illnesses. OBJECTIVES/GOALS: Melatonin was identified as a potential repurposable drug in the fight against SARS Cov-2. Its ability to attenuate some virus inoculation effects raises the question whether melatonin use could alleviate virus-induced respiratory illness. Here we evaluated the occurrence of respiratory conditions in melatonin users and non-users surveyed. METHODS/STUDY POPULATION: Records from the Medical Panels Expenditure Survey (MEPS) database made available by the Agency for Healthcare Research and Quality were used to evaluate whether melatonin may be associated with reduced viral respiratory disease burden. First, all subjects reporting melatonin use (1996-2017) were collected along with records for all subjects reporting respiratory diseases as identified by consolidated ICD-9/10 codes. Second, all diagnosis codes were retrieved for all individuals identified in the first step. In total there were 201,490 occurrences of the specified conditions among 180,468 unique individuals. The relative risk of specific respiratory disease occurrence was computed for melatonin users and non-users. Population estimates for melatonin use were also determined. RESULTS/ANTICIPATED RESULTS: Among 221 melatonin users, 132 had at least one respiratory illness. Among the 180,468 total subjects reporting at least one respiratory condition, melatonin use was associated with a lower rate of the common cold, pharyngitis, strep throat, scarlet fever, and sinusitis. Furthermore, melatonin was associated with a significantly reduced risk of common cold (RR 0.760, CI 0.587-0.985) and sinusitis (RR 0.407, CI 0.186-0.890). Due to low subject counts, the reduced risk observed for scarlet fever and strep throat was not considered significant. Melatonin users had a higher relative risk of allergic rhinitis (RR 1.393, CI 1.043-1.862) and asthma (RR 2.166, CI 1.672-2.806), probably due to melatonin active prescribing in these patients as sleep aid. DISCUSSION/SIGNIFICANCE OF FINDINGS: Although melatonin showed a lower relative risk of certain viral respiratory conditions, the low melatonin user numbers and their heterogeneous distribution over the time interval led to highly variable population estimates. Yet, our data suggests that melatonin may alleviate viral respiratory illness and deserves further investigation.
56600 Statin use and medical expenditure in patients with Parkinson’s disease
Authors: Lo Piccolo Anthony J. , Ceacareanu Alice C. , Wintrob Zachary A.P.
Published: March 2021

ABSTRACT IMPACT: Despite their clinical benefits reported in patients with Parkinson’s, statin use is not associated with cost savings. OBJECTIVES/GOALS: Statins have unique lipid-lowering, anti-inflammatory and anti-oxidant benefits. Their pleiotropic benefits were shown to decrease risk of occurrene and progression of Parkinson’s disease (PD). In this study we explored whether or not statin use reflects medical or prescription cost savings. METHODS/STUDY POPULATION: Records from the Medical Panels Expenditure Survey (MEPS) database made available by the Agency for Healthcare Research and Quality were used to identify all PD subjects (n=613). Demographics and PD ICD9/10 codes, 332/G20, were abstracted from the medical condition files for all the subjects (1996-2018). Prescribed cholesterol drugs were identified based on generic and brand names following a manual review to detect any misspellings. Total medical expenses and prescription expenses were abstracted for all identified PD subjects. Subject were surveyed for two consecutive years, thus expenses were assessed for each of the two surveyed years. Costs were adjusted for inflation and expressed in 2018 dollars. The relationship between cholesterol drug use, cost and age or gender was evaluated by Fisher’s exact test. RESULTS/ANTICIPATED RESULTS: Out of the 613 PD subjects identified, 421 received no cholesterol management, 15 received non-statins, 153 received a statin and 24 received a statin-based combo therapy. While the medical expenses in the general population receiving a statin are roughly three times higher than non-statin users, no significant cost difference was noticed between PD subjects receiving or not statins. However, after adjusting for age and gender, receiving statin vs. non-statin vs combo vs none was significantly associated with total expense (p=0.017) suggesting that cholesterol management decision may play a significant role. DISCUSSION/SIGNIFICANCE OF FINDINGS: Selection of specific cholesterol treatment may play a considerable role in the overall PD expenditure. Duration of statin treatment and type of statin are expected to play a role.
41502 Does dietary fat composition predict short-term elevations in lipid levels in adults on a modified Atkins diet?
Authors: McDonald Tanya J. W. , Henry-Barron Bobbie J. , Vizthum Diane , Cervenka Mackenzie C.
Published: March 2021

ABSTRACT IMPACT: Our work provides guidance on whether dietary fat intake influences serum cholesterol levels in response to ketogenic diet therapy in adults with epilepsy. OBJECTIVES/GOALS: The modified Atkins diet (MAD) is used in the management of drug-resistant epilepsy in adults. Some patients on MAD show an increase in serum levels of total cholesterol and low-density lipoprotein (LDL) cholesterol. We explored whether dietary fat composition predicts short-term elevations in serum lipid levels in diet-naive adults who begin MAD. METHODS/STUDY POPULATION: Participants self-reported their diet intake with 3-day food records at baseline, 1 month and 2 months. Food records were analyzed using Nutrition Data System for Research software. Fasting serum levels of total cholesterol (TC), high-density lipoprotein (HDL) cholesterol, and triglycerides were also collected and LDL level calculated at baseline, 1 month, and 2 months. RESULTS/ANTICIPATED RESULTS: 38 patients submitted complete food records at each study visit (baseline, 1 month, and 2 month). Compared to baseline diet intake, there was a significant reduction in daily carbohydrate intake at 1 and 2 months (p<0.001) and a significant increase in daily fat intake at 1 and 2 months (p<0.001). There was also a significant increase in daily saturated fatty acid (SFA) intake at 1 and 2 months (p<0.001), daily mono-unsaturated fatty acid (MUFA) intake at 1 and 2 months (p<0.001), and daily cholesterol intake at 1 month (p<0.05) and 2 months (p<0.001), but no change in daily poly-unsaturated fatty acid (PUFA) intake over time. Compared to baseline, there was a significant increase in serum LDL at 1 month (p<0.001) and 2 months (p<0.01) and an increase in serum TC at 1 month (p<0.01) but not 2 months. DISCUSSION/SIGNIFICANCE OF FINDINGS: Despite a significant increase in total fat, saturated fat and mono-unsaturated fat intake as well as an increase in total cholesterol and LDL levels following MAD initiation, dietary fat composition appears to minimally predict serum lipid values in the short term.
62610 Effects of electronic verses paper based data capture in large multinational trials on time to complete, time to publication, participation and collaboration.
Authors: Davidoff Erika , Jose Nadina , Tafuto Barbara
Published: March 2021

ABSTRACT IMPACT: My work evaluates the impact of electronic data capture/eSource on several aspects of clinical trial efficiency and scale, aiming to demonstrate how eSource can be used to improve the way we run clinical trials. OBJECTIVES/GOALS: Using eSource may increase the efficiency of data collection in clinical trials. However, adoption of eSource has been slow. We reviewed over 100 large multinational clinical trials to analyze how eSource use correlated with trial size, sponsor collaborations, time to complete, and time to publication. METHODS/STUDY POPULATION: We searched ClinicalTrials.gov for completed, interventional, Stage II-IV clinical trials with posted results and an uploaded study protocol document. This produced 3,962 trials. We identified all studies with over 1,200 participants and sites in multiple countries (or at least 100 sites in one country). After eliminating ten studies with duplicate protocols, we had a database of 123 trials. From the ClinicalTrials.gov listing, the study protocol, and any published papers, we determined the start, end, and publication dates, data collection protocol, sponsors and collaborators, and any reasons given for delays for each trial. We performed statistical tests comparing trial delay, participant and country count, and collaboration status (yes or no) between the two groups (eSource users and non-eSource users). RESULTS/ANTICIPATED RESULTS: Of our 123 trials, 60 (48.7%) used eSource, 48 (39.1%) used paper source documentation, and 15 (12.2%) used some combination. We found no statistically significant difference between eSource and non-eSource trials in terms of trial delay (p=0.43), time to publish (p=0.33), collaboration status (p=0.54), number of participants (p=0.36), or number of countries (p=0.12). However, our analysis was limited by what data was publically available. To investigate the effects of eSource on site efficiency, data accuracy, and data security, which are three major factors behind the FDA’s 2013 eSource recommendation, we would need access to proprietary information from trial sponsors. DISCUSSION/SIGNIFICANCE OF FINDINGS: The use of eSource in large multinational clinical trials is not correlated with a change in time to completion or publication nor a higher number of participants or countries. We aim to acquire proprietary data to further analyze the impacts of eSource on trial efficiency, data accuracy, and data security.
70740 Impact of fundus pigmentation on retinal layer visibility on investigational bedside optical coherence tomography in preterm infants
Authors: Seely Kai R. , McCall Michelle , McGeehan Brendan , Winter Katrina , Tran-Viet Du , Tai Vincent , Ying Gui-Shuang , Toth Cynthia A.
Published: March 2021

ABSTRACT IMPACT: This study helps translate investigational bedside optical coherence tomography into improved diagnosis and care of preterm infants at risk for retinopathy of prematurity. OBJECTIVES/GOALS: In retinopathy of prematurity screening, fundus photography may be of limited quality in eyes with dark fundus pigmentation (FP). The goal of this study was to evaluate the impact of FP on overall scan quality and retinal layer visibility on investigational bedside optical coherence tomography (OCT) in preterm infants. METHODS/STUDY POPULATION: We analyzed 846 OCT scans captured prospectively from 188 eyes of 94 preterm infants enrolled in the BabySTEPS study (NCT02887157). Trained ophthalmologists, masked to OCT findings, determined FP (blond, medium, or dark). Expert graders, masked to FP, evaluated OCT images for: 1) overall OCT quality (excellent, acceptable, poor, or unusable); and 2) all age-appropriate retinal layers visible (yes or no). To assess the association of FP with OCT quality (excellent/acceptable or poor/unusable) and retinal layer visibility, we performed multivariable logistic regression modeling, adjusting for biologic and demographic confounders and correlations from repeated OCT scans and paired eyes. RESULTS/ANTICIPATED RESULTS: Mean birthweight was 964 (SD=283) grams, mean gestational age was 27.8 (SD=2.6) weeks, 48 (51%) infants were male, and 51 (54%) were non-white. On exam, 72 (38%) eyes had blond FP, 92 (49%) had medium, and 24 (13%) had dark. OCT quality was excellent or acceptable in 725 scans (86%) and all age-appropriate retinal layers were visible in 781 scans (92%). Compared to eyes with blond FP, eyes with medium and dark FP did not have higher odds of poor/unusable OCT scan quality (adjusted OR 0.87 [95% CI 0.50-1.48] and 0.49 [95% CI 0.16-1.55], respectively) or not all age-appropriate retinal layers visible on OCT (adjusted OR 1.17 [95% CI 0.39-3.51] and 0.57 [95% CI 0.15-2.20], respectively). DISCUSSION/SIGNIFICANCE OF FINDINGS: Medium and dark FP did not impact overall scan quality or age-appropriate retinal layer visibility on investigational bedside OCT in preterm infants. This study supports the feasibility of using OCT to analyze retinal microanatomy in diverse populations of preterm infants with a range of FP.
54770 A Comprehensive Online Platform for Plain Language Clinical Trial Result Summary Development
Authors: Reyes Christian
Published: March 2021

ABSTRACT IMPACT: This work will impact participants of clinical trials by better informing them of their trial’s results and their important role within the clinical research process. OBJECTIVES/GOALS: This project aims to equip researchers with an online tool for the development, dissemination, and collection of participant feedback for plain language clinical trial (CT) result summaries (PLCTRS). PLCTRS ensure that participants fully understand their trial’s results and their role in the CT process. METHODS/STUDY POPULATION: This online development platform is a web application made with CSS, HTML, and JavaScript. First, general trial identification information including study aims and eligibility will be input by researchers. Then, they will be prompted with tips and suggestions for composing in plain language and to ensure inclusion of all essential trial information. Next, the platform will disseminate this writing electronically to participants. Participants then provide meaningful feedback on the platform about their comprehension for the researcher, which the platform will aggregate and summarize for revisions. This process of drafting and feedback is repeated until a satisfactory PLCTRS is finalized. RESULTS/ANTICIPATED RESULTS: The anticipated results of this project are overall improved comprehension of clinical trial results by participants. This comprehension will be measured by participants ability to answer certain questions not only regarding trial outcomes, but also about the trial in general. For instance, before and after interacting with the PLCTRS, trial participants will be asked if they can identify which investigational drug was being studied and its possible side effects. This project could anticipate identification of trial elements and results deemed difficult to comprehend by participants; thus they would be better informed after interacting with the platform. DISCUSSION/SIGNIFICANCE OF FINDINGS: This project will ensure that participants better comprehend the trials they participated in beyond the required informed consent process - which only covers their comprehension prospectively. This project seeks to address the gap of ensuring participant comprehension retrospectively.
64180 The Proportion of Young Patients with Acute Surgical Pain and Development of Opiate Abuse Disorders
Authors: Uribe-Rivera Armando , Rasubala Linda , Alvarez Daniela , Monroy-Giamundo Daniel , Malmstrom Hans , Ren Yan-Fang
Published: March 2021

ABSTRACT IMPACT: The importance of this study is to evaluate the responses following the exposure of opioid drugs in young adults to address the current opioid epidemics OBJECTIVES/GOALS: To compare the proportion of patients between 18 and 25 years of age, who develop an opioid abuse disorder following dental surgery, to those following other surgical procedures, when an opioid drug is used for acute postoperative pain control. METHODS/STUDY POPULATION: We fashioned an IRB-sponsored retrospective cohort study of patients, ages 18 to 25 years old, who presented for dental surgery or other medical surgical procedures, at Strong Memorial Hospital Medical Center, at the University of Rochester and received opioid drug treatments, for acute surgical pain management. Patients with the diagnosis of acute surgical pain were included in the study. However, those with chronic pain or other related abnormalities were excluded, even if a diagnosis of acute surgical pain was present in the electronic chart. The clinical data were retrieved from electronic medical records and NYS-iStop records. All statistics were significant at the level of <0.1 RESULTS/ANTICIPATED RESULTS: We identified 167 subjects, of whom, only 150 subjects met inclusion criteria (n=100) in dentistry and (n=50) in other medical specialties. Patients were followed up in a 7-year period. Most of the subjects were females (n=91), Caucasian (n=80), and lived in a suburban location (n=78). The most frequently prescribed opioid included hydrocodone (n=119). A significantly higher proportion (8.7%) of patients developed opioid abuse disorders in the control group, compared to 1% of subjects in the experimental group (p 0.02). Those in the control group received marginally significant higher doses of MMEs 447.2 +/-644.8 mg vs 306.2 +/-354.7mg in the experimental group (p 0.086). Those in the control group had significantly longer periods of opioid treatment 10 (+/-12) compared to 6(+/-6) days in the experimental group DISCUSSION/SIGNIFICANCE OF FINDINGS: It is paramount to evaluate the morphine milligram equivalents, and duration of opioid treatment given to the young population with acute surgical pain, to prevent opioid abuse disorders in this vulnerable cohort.
73936 Developing a Patient-Rated Outcome Measure of Alcohol and Drug Craving: A Systematic Review
Authors: Haeny Angela M. , Morean Meghan , DeMartini Kelly S. , Funaro Melissa , O’Malley Stephanie S.
Published: March 2021

ABSTRACT IMPACT: The findings from this study will inform the development of an FDA-approved patient-rated outcome measure of drug and alcohol craving that can be used in clinical trials aimed at developing or testing effective treatments for substance use disorder. OBJECTIVES/GOALS: Craving is a potential target of investigative medications to reduce drug use due to the strong link between craving and drug use. We will identify all existing craving measures as the first step for developing an FDA-approved patient-rated outcome measure for use in clinical trials. METHODS/STUDY POPULATION: Following PRISMA guidelines, we will update Rosenberg’s (2009) craving review by conducting a systematic review of all existing published and unpublished measures of craving for alcohol, nicotine, cannabis, opioid, and stimulant use. Electronic database (i.e., Ovid MEDLINE, Embase, PsycINFO, Web of Science, Cochrane), forward, backward, and author searches will be conducted. We will also request unpublished craving measures on major listservs (e.g., Research Society on Alcoholism, the Collaborative Perspectives on Addiction, and the College on Problems of Drug Dependence). All papers included in Rosenberg’s (2009) review through September 2020 will be included. RESULTS/ANTICIPATED RESULTS: The findings from this review will provide a comprehensive summary of the construct of craving and its hypothesized and tested domains. This review will elucidate whether the literature suggests there are components of craving unique to alcohol, nicotine, cannabis, opioid, and/or stimulant use, and whether there are key elements of craving common across the disorders. Therefore, these findings will inform whether a single patient-rated outcome measure of craving can be developed for use across substances or if unique patient-rated outcome measures of craving need to be developed for each substance. DISCUSSION/SIGNIFICANCE OF FINDINGS: While many different measures of craving exist, none have gone through the developmental steps required to qualify as an FDA-approved patient-rated outcome measure on which drug treatment labeling can be based. Completing this systematic review is the first step in this process.
31257 A Case Study of Needs Assessment Practices Using I-Corp Customer Discovery Protocols Alongside REDCap Surveys for CTSA Activities.
Authors: Zunaed Zahra , Tafuto Barbara , Ebanks Yasheca , Trinh Peter , Lechner Doreen W.
Published: March 2021

ABSTRACT IMPACT: The results from this study will improve needs assessment practices. OBJECTIVES/GOALS: The discovery phase in project development is necessary to better understand the needs and requirements of the intended market. This paper compares the outcomes of two virtual data collection methodologies, NSF I-Corps Customer Discovery interviews and REDCap surveys, for a needs assessment. METHODS/STUDY POPULATION: Clinical and Translational Science Award (CTSA) Directors and Academic Administrators across the Consortium were asked about the types of skills needed to assess clinical research professional competencies and the need for a competency-based self-assessment tool (CBST). Parallel methods were used to extract qualitative and quantitative data. The first approach was to conduct interviews using I-Corps customer discovery guidelines, and data was collected using Innovation Within software. Targeted requests were sent via cold email outreach to 102 individuals within 63 CTSA hubs. The second approach involved the use of the NJ ACTS Training and Education Offering Inventory REDCap Survey which was distributed via LISTSERV to 63 CTSA hubs. Response rates and user insights from each method were compared. RESULTS/ANTICIPATED RESULTS: Twenty-one of 63 CTSA hubs responded to the survey (response rate: 33%) while 18 of 63 hubs participated in an interview (response rate: 28%). Twenty-two individuals out of 102 were interviewed (response rate: 21%). Fifty-nine percent of interviewees and 62% of survey respondents indicated a clear need for a CBST; types of responses varied. Forty user insights were obtained from ten interviews. Two insights were gained in the survey from the eight who were prompted to fill out the free-text response. Both survey participants and interviewees indicated that communication and team science soft skills were the most important competencies. Regarding hard skills, interviewees preferred written skills while survey participants favored ‘scientific design and concept’ skills. DISCUSSION/SIGNIFICANCE OF FINDINGS: Results suggest the use of a survey or an interview for a needs assessment is dependent on several factors: need for insights, burden of time, desire to obtain quantitative vs. qualitative data, and question format. The interview was more effective than the survey in addressing the key question and obtaining insights from the intended market.
73204 HR the Silent Partner: Building Teams & Tools for Better Recruitment and Hiring of Clinical Research Professionals
Authors: Fisher Elaine , Thomas Rebecca , Williams Jeb
Published: March 2021

ABSTRACT IMPACT: Improved non-biased matching of clinical research professionals to PI needs will accelerate time to active project engagement for new hires. OBJECTIVES/GOALS: An ongoing challenge for HR recruiters when matching applicants to open job positions is the time-consuming screening effort, which relies on imprecise semantic searching. We propose building a precision-based matching tool using Natural Language Processing to automate the accurate and non-biased identification of suitable job candidates. METHODS/STUDY POPULATION: We conducted 30-45’ interviews with HR administration/recruitment specialists to delineate the recruitment and hiring process used to match CRC resumes to job descriptions (n=7). Next, CRC applicant resumes were evaluated by experts, first by independent review, followed by consensus and assignment of a final rating, 0= not qualified; 1= CRC1; 2= CRC2; 3= CRC3; 4= CRC4. Guidelines evolved after reviewing 6 batches of 50 unique resumes (300 total) and were based on applicant qualifications & experiences by job level, CRC 1-4. Using final guidelines an additional 3,145 resumes were rated. For uniform input into the NLP model, resume formats were converted and text contents extracted into multiple sections, i.e., education, professional experiences, etc. RESULTS/ANTICIPATED RESULTS: Guideline development: Rater agreement improved over time with poor agreement when no guidelines were present (.161- Kappa) to good agreement for final guidelines (.608- Kappa). Spearman’s rho correlation between guideline iterations and Kappa is large and positive (rho 0.886) indicating significant rater agreement. NLP Model: Resume to job description matching indicated a third of applications were qualified, a third overqualified, and a third underqualified, suggesting the majority of applicants were unable to identify their ‘best fit’ by job level. Our NLP model matched the candidate resume to CRC level with 73.3% accuracy; and achieved 79.2% accuracy when matching the applicant resume to the CRC job description. Refinement of the NLP Model is ongoing. DISCUSSION/SIGNIFICANCE OF FINDINGS: A precision-based NLP matching tool will improve applicant targeting for the hire of great, qualified candidates. Improved applicant to job matching offers several advantages, i.e., reduced bias with greater diversity and inclusion; reduced time-to-hire; ability to anticipate training needs; and a reduced time to active project engagement.
90552 Evidence synthesis with reconstructed survival data
Authors: Fu Chenqi , Zhou Shouhao , Short Nicholas , Huang Xuelin , Berry Donald , Ravandi-Kashani Farhad
Published: March 2021

ABSTRACT IMPACT: A one-stage Bayesian multilevel model for meta-analysis integrating different survival data is introduced to complete the information synthesis without assuming proportional hazard. OBJECTIVES/GOALS: To develop a general modeling approach to perform efficient and robust meta-analyses using aggregated data (AD) for survival type endpoint and apply to a meta-analysis to examine the association between measurable residual disease (MRD) and disease-free survival (DFS) and overall survival (OS) in patients with acute myeloid leukemia (AML). METHODS/STUDY POPULATION: A Bayesian semi-parametric hierarchical model with a time-varying HR effect was presented. Three common types of survival information, including reconstructed survival data, the hazard ratio (HR) estimates with corresponding CIs and survival rates at specific time points, are synthesized such that all literature from the systematic review can contribute properly to the estimation and uncertainty quantification of the model parameters. The time-varying effects was modeled by assuming piecewise hazard risk and piecewise constant hazard ratio. The heterogeneity across studies was expressed by an additive random study effect and a random treatment-by-study interaction. The method was applied to a systematic review of 81 publications reporting on 11,151 AML patients. RESULTS/ANTICIPATED RESULTS: In simulation studies that the proportional hazard assumption is either valid or violated, the proposed method was efficient to achieve comparable performance to IPD meta-analysis, a gold standard approach, in estimating the survival rates, the restricted mean survival time at specific time points and median survival time with the point estimates close to the true values. When HR is not proportional over time, the proposed method was robust in estimating HR and significantly outperformed the classical random-effects meta-analysis. In the application to AML study, the average HR for achieving MRD negativity was 0.36 (95% CrI, 0.33-0.39) for OS and 0.37 (95% CrI, 0.34-0.40) for DFS. The association of MRD negativity with OS and DFS was significant and consistent across all subgroups. DISCUSSION/SIGNIFICANCE OF FINDINGS: The proposed novel method provided a flexible framework for meta-analysis of survival data, to accommodate various types of survival data in one model without assuming proportional hazards assumption. The findings of AML meta-analysis suggest that achievement of MRD negativity is associated with superior DFS and OS in patients with AML.
62859 Bringing Exposures into Mainstream Translational Research: Informatics Opportunities and Methods
Authors: Gouripeddi Ram , Riches Naomi , Cummins Mollie , Sward Katherine , Facelli Julio
Published: March 2021

ABSTRACT IMPACT: This work will discuss informatics methods enabling the use of exposure health data in translational research. OBJECTIVES/GOALS: 1. Characterize gaps and formal informatics methods and approaches for enabling use of exposure health in translational research. 2. Education of informatics methods enabling use of exposure health data in translational research. METHODS/STUDY POPULATION: We performed a scoping review of selected literature from PubMed and Scopus. In addition we reviewed literature and documentation of projects using exposure health data in translation research. RESULTS/ANTICIPATED RESULTS: Primary challenges to use of exposure health data in translational research include: (1) Generation of comprehensive spatio-temporal records of exposures, (2) Integration of exposure data with other types of biomedical data, and (3) Uncertainties associated with using data as exact quantifications of exposure which are dependent on both - the proximity of measurement to subject under consideration and the capabilities of measuring devices. We identified 9 major informatics methods that enable incorporation and use of exposure health data in translational research. While there are existing and ongoing efforts in developing informatics methods for ease of incorporating exposure health in translational research, there is a need to further develop formal informatics methods and approaches. DISCUSSION/SIGNIFICANCE OF FINDINGS: Depending on the source about 50 - 75% of our health can be quantified to be a contribution of our environment and lifestyles. In this presentation, we summarize the studies and literature we identified and discuss our key findings and gaps in informatics methods and conclude by discussing how we are covering these topics in an informatics courses.
10227 A Framework for Bringing Secondary Analysis of EHR Data to Geographically Dispersed Clinician Scientists
Authors: McClay James , Anzalone Jerrod , Geary Carol , Zhang Ying
Published: March 2021

ABSTRACT IMPACT: The described framework will enable other sites with a well-defined apparatus for enabling the secondary analysis of EHR data for research through education, team science, and resource consolidation. OBJECTIVES/GOALS: EHR’s potential to improve healthcare outcomes extends far beyond the clinic. This vast repository of clinical insights has dramatic potential for biomedical research. To enhance accessibility for busy clinicians and underserved populations, we describe a framework for interfacing with EHR locally and through national network participation. METHODS/STUDY POPULATION: The Institutional Development Award (IDeA) program, which began in 1993, broadens NIH funding’s geographic distribution for biomedical research. Included in this is the IDeA Networks for Clinical and Translational Research, which focuses on enhancing clinical and translational science across a network of IDeA-states with traditionally underserved communities and rural providers. A prior survey of the needs and capabilities of IDeA-CTR centers identified the need for improved research support. Based on our annual member survey we developed a process for supporting distributed research projects across the GP-CTR. NIH also recently made a funding announcement for the IDeA-CTR community identifying EHR research as a major priority in responding to the COVID-19 pandemic. RESULTS/ANTICIPATED RESULTS: Results from site interviews and member surveys show a clear need for dedicated resources to navigate the process of EHR-derived research. Most described a different set of requirements for increasing accessibility to EHR for research and a strong desire to participate in research networks. Local investigators cited a lack of tools, educational materials, and accessibility. Initial efforts demonstrate strong research questions but limited technical, statistical, and terminological capabilities to succeed. In response, a pipeline for team science and promotion of projects from local phenotypes to national studies. We created a facilitator training program to expand the number of facilitators (n=22), quarterly training for investigators (n=104), and ongoing efforts to advance COVID-19 research. DISCUSSION/SIGNIFICANCE OF FINDINGS: As evidenced in the expanding number of EHR-based research networks there is a need for a system to promote project development and best practices. The proposed model promotes education, resource sharing, and team formation to advance clinical questions from the idea stage toward national research network participation.
21063 A Review of Novel Uses of REDCap in Clinical and Translational Science
Authors: Toles Aaryn , Tafuto Barbara , Lechner Doreen
Published: March 2021

ABSTRACT IMPACT: This review will encourage further development of novel uses of REDCap for the benefit of the research community. OBJECTIVES/GOALS: REDCap is a clinical research data collection platform that is primarily used as intended. However, little is known about its more novel uses, specifically in clinical decision support in patient care and in clinical research management. Thus, the purpose of this review is to examine peer reviewed literature identifying and describing such novel uses. METHODS/STUDY POPULATION: A systematic search was conducted in both PubMed and Google Scholar using the equation ((REDCap) OR ('Research Electronic Data Capture')) AND ((Clinical Trial Management) OR (Clinical Research)).’ Articles were screened by title, then abstract, and then were reviewed in full if they met inclusion criteria. Articles were included if they had potential relevance to the topic of REDCap or if they mentioned activities related to fields of clinical and translational science including operational support in areas such as clinical research management. Articles were excluded if they focused on common clinical research activities relating to data collection software such as survey administration, database building or data collection for clinical trials, registries, and cohort studies. RESULTS/ANTICIPATED RESULTS: The initial search yielded 390 results, of which 40 underwent an abstract review; only 8 of these underwent full text review. Of these, 5 discussed uses of REDCap in the context of operational support in clinical research management; 3 were related to clinical decision support in patient care. For the 5 articles focused on operational support in clinical research management, topics include e-consenting procedures, collection and storage of protected health information (PHI), patient recruitment and tracking stakeholder engagement. The 3 articles about clinical decision support discuss REDCap tools for generating risk predictions for post-surgical clinical outcomes, generating recommendations and STI test orders, and increasing efficiency in hand-offs to enhance care of surgical oncology patients. DISCUSSION/SIGNIFICANCE OF FINDINGS: Considering that only a small percentage of peer reviewed research reports out on novel uses of REDCap, there is a need for the REDCap consortium to do further work to fulfill its mission to adopt, innovate, and suggest novel uses of REDCap, thus expanding the understanding of its functionalities and therefore its utility in the research community.
28561 Optimization of Heart Failure Treatment Using a Novel Application Programming Interface (API)
Authors: Mack Anthony , Cordwin David , Dorsch Michael
Published: March 2021

ABSTRACT IMPACT: This project will aid in the optimization of treatment for those with heart failure with a reduced ejection fraction in order to both maximize health benefits and minimize financial burdens. OBJECTIVES/GOALS: To evaluate the accuracy and clinical applicability of a novel web-based application programming interface in the optimization of care for patients being treated for heart failure with reduced ejection fraction (HFrEF). The purpose of this validation is to ensure the translatability of this algorithm to a clinical setting using real-world data. METHODS/STUDY POPULATION: This study is a retrospective analysis of a previously created algorithm designed to optimize therapy for patients currently diagnosed with HFrEF. Patients that are seen for HFrEF treatment at Michigan Medicine are enrolled in a heart failure registry and were included in this study. Exceptions include those with heart transplants, LVAD, and those undergoing treatment with chronic inotropes (milrinone/dobutamine). Clinically relevant information (demographics, vital statistics, labs, and medications including dose and frequency) was taken from their respective electronic health record (EHR) and this data was used as the input for the algorithm. The therapy recommendations were collected and manually compared to the 2017 ACC/AHA/HFSA guidelines to verify the accuracy of the algorithm outputs. RESULTS/ANTICIPATED RESULTS: Data is currently being collected and analyzed. At first glance, our algorithm has been successful at detecting patients that are good candidates for therapy optimization. Based on inputs given, the treatment recommendations have been appropriate when compared to the most up-to-date HF treatment guidelines. The algorithm has also correctly identified levels of urgency for therapeutic recommendations. Finally, we have also shown the algorithm to have effectiveness for identifying areas of inappropriately adjusted therapy. Preliminary results have led to changes to the functionality of the algorithm, including how medications are retrieved from the EHR’s and how medication doses are identified. Previous iterations created discrepancies in dosing and the algorithm has since been adjusted. DISCUSSION/SIGNIFICANCE OF FINDINGS: By verifying its validity, our algorithm can accurately flag patients with HFrEF that are eligible for therapy optimization and give providers the opportunity to make appropriate changes. Given the high health and financial burdens of HFrEF, our algorithm has the ability to provide significant morbidity, mortality, and financial benefits.
14820 Mental Health Mobile App Use in Integrated Primary Care Settings: Considerations for Serving Underserved Patients
Authors: Watanabe-Galloway Shinobu , Emerson Maggie , Dinkel Danae , Caspari-Harsh Jennifer , Kabayundo Josiane , Fok Louis , Johnson David
Published: March 2021

ABSTRACT IMPACT: Mobile app may help improve the depression symptoms among underserved patients OBJECTIVES/GOALS: Depression is one of most common mental health conditions and the leading cause of disability worldwide, affecting about one in 10 adults in the US. The aim of this study was to explore the factors that affect feasibility of incorporating mobile app self-management tools for depression in integrated primary care settings. METHODS/STUDY POPULATION: This was a cross-sectional questionnaire study of depressed patients at two primary care clinics in a Midwest academic medical center. Adult patients (≥19 years) who had an active or previous diagnosis of depression were included in the study. A self-administered survey collected information pertaining to demographics, smartphone ownership, data plan type, smartphone application usage, mobile app self-management interest, health literacy, and patient activation. Chi-square analysis was conducted to compare the patient demographic characteristics, the smartphone ownership, phone plan, smartphone use for health information between two clinics. Multinominal logistic regression analysis was conducted to examine the association between the patient activation and patient characteristics. RESULTS/ANTICIPATED RESULTS: Over 80% of patients owned a smartphone, 80.5% were willing to use data for depression management, and 68.9% believe an app can help in depression management. A higher literacy level was significantly associated with higher level of patient activation (Chi-square=8.5453; p=0.0360). These results suggest that planning interventions that use mobile apps within this patient population is likely feasible and the intended underserved patients at these clinics have an interest in using depression related apps which is similar to findings found by other studies exploring app interest. DISCUSSION/SIGNIFICANCE OF FINDINGS: Understanding patient activation levels within a given population can help to shape corresponding needs. The use of depression related self-management mobile apps will likely require the development of educational materials to facilitate patient use and engagement which means understanding the literacy needs of this population as well.
43745 A pilot survey to assess the practices, attitudes and beliefs around endotracheal aspirate culture use in a pediatric intensive care unit
Authors: Sick-Samuels Anna , Xie Anping , Melendez Elliot , Fackler Jim , Milstone Aaron
Published: March 2021

ABSTRACT IMPACT: Optimizing the use of endotracheal aspirate cultures (EACs) has the potential to improve the care of complex mechanically ventilated children by improving testing practices and avoiding unnecessary antibiotic treatment for false-positive results. OBJECTIVES/GOALS: An electronic survey has previously been employed to characterize the practices and attitudes around blood cultures among critically ill children. The objective of this work was to develop and pilot a new survey as a tool to understand practices and attitudes that could inform quality improvement initiatives to optimize EAC practices. METHODS/STUDY POPULATION: Informed by prior experience of diagnostic stewardship of EAC in other settings and using a similar structure to the blood culture practice survey, we developed an electronic self-administered survey sent to respiratory therapists, advanced practice providers, and physicians at the Johns Hopkins All Children’s pediatric intensive care unit. RESULTS/ANTICIPATED RESULTS: A total of 27 of 87 clinicians (37%) responded to the survey (22 respiratory therapists, 9 attending physicians and 1 advanced practice provider). Responses indicated samples are typically collected by respiratory therapists via in-line (endotracheal) or open suctioning (tracheostomy). Most respondents did not feel EACs could lead to unintended negative consequences (71%), agreed practices vary between people (89%), and felt an algorithm would help align the clinical team (79%). Most respondents agreed some clinicians may be reluctant to change practice (82%) and may not change practice due to concern for missing diagnosis of ventilator-associated pneumonia or tracheitis (78%). Surveillance cultures were not used in this unit and there were no prior EAC diagnostic stewardship efforts. DISCUSSION/SIGNIFICANCE OF FINDINGS: This survey captured practices, perceptions and barriers to changes that will inform the implementation of quality improvement initiatives to optimize EAC use in this unit. Future studies can consider utilizing an electronic survey to describe practice variation, clinician believes and attitudes about EAC testing in ventilated patients.