Faculty Bibliography

Although racial/ethnic disparities in police contact are well documented, less is known about other dimensions of inequity in policing. Sexual minority groups may face disproportionate police contact. We used data from the P18 Cohort Study (Version 2), a study conducted to measure determinants of inequity in STI/HIV risk among young sexual minority men (YSMM) in New York City, to measure across-time trends, racial/ethnic disparities, and correlates of self-reported stop-and-frisk experience over the cohort follow-up (2014-2019). Over the study period, 43% reported stop-and-frisk with higher levels reported among Black (47%) and Hispanic/Latinx (45%) than White (38%) participants. Stop-and-frisk levels declined over follow-up for each racial/ethnic group. The per capita rates among P18 participants calculated based on self-reported stop-and-frisk were much higher than rates calculated based on New York City Police Department official counts. We stratified respondents' ZIP codes of residence into tertiles of per capita stop rates and observed pronounced disparities in Black versus White stop-and-frisk rates, particularly in neighborhoods with low or moderate levels of stop-and-frisk activity. YSMM facing the greatest economic vulnerability and mental disorder symptoms were most likely to report stop-and-frisk. Among White respondents levels of past year stop-and-frisk were markedly higher among those who reported past 30 day marijuana use (41%) versus those reporting no use (17%) while among Black and Hispanic/Latinx respondents stop-and-frisk levels were comparable among those reporting marijuana use (38%) versus those reporting no use (31%). These findings suggest inequity in policing is observed not only among racial/ethnic but also sexual minority groups and that racial/ethnic YSMM, who are at the intersection of multiple minority statuses, face disproportionate risk. Because the most socially vulnerable experience disproportionate stop-and-frisk risk, we need to reach YSMM with community resources to promote health and wellbeing as an alternative to targeting this group with stressful and stigmatizing police exposure.

STATEMENT OF PROBLEM OR QUESTION (ONE SENTENCE): Can user-centered design (UCD) facilitate the development of novel and effective training tools for the virtual ambulatory learning environment LEARNING OBJECTIVES 1: To identify the needs, preferences, and concerns of resident trainees and attending preceptors regarding the current virtual ambulatory care learning environment. LEARNING OBJECTIVES 2: To apply user-centered design (UCD) strategies to the development of effective tools to enhance the virtual learning experience of trainees and preceptors. DESCRIPTION OF PROGRAM/INTERVENTION, INCLUDING ORGANIZATIONAL CONTEXT (E.G. INPATIENT VS. OUTPATIENT, PRACTICE OR COMMUNITY CHARACTERISTICS): The COVID-19 pandemic spurred a rapid transition to virtual learning environments, the design of which may impact learning experiences and competency development for trainees. User-centered design (UCD) offers a framework to iteratively and collaboratively incorporate needs, preferences, and concerns of users (e.g. trainees and preceptors) in the development of acceptable and effective educational tools. This study applied UCD strategies of empathize, define, ideate, prototype, and test among Internal Medicine residents and outpatient attending preceptors to develop innovations for the virtual ambulatory care learning environment. MEASURES OF SUCCESS (DISCUSS QUALITATIVE AND/OR QUANTITATIVEMETRICSWHICHWILL BEUSEDTOEVALUATE PROGRAM/INTERVENTION): Using the UCD framework, we identified: 1) needs, preferences, and concerns of residents and preceptors in current virtual precepting practices (empathize) 2) key problem areas and pain points (define) 3) potential solutions (ideate) 4) specific products to develop (prototype), deploy, and evaluate (test) in practice FINDINGS TO DATE (IT IS NOT SUFFICIENT TO STATE FINDINGS WILL BE DISCUSSED): Qualitative needs-assessment interviews were conducted among 8 residents and 10 preceptors, which identified key areas of learner need: technical and workflow competency; the virtual precepting experience; patient rapport-building and communication; and documentation requirements. Subsequently, a Design Thinking Workshop focusing on virtual precepting was developed, and 3 workshops were conducted with 12 participants (residents and attendings). Using a three-phase interactive sequence of explore, ideate, and create, participants were divided into 2-or 3-person virtual breakout groups and asked to 1) identify a key problem in current virtual precepting, 2) brainstorm possible solutions, and 3) design and present a low-fidelity prototype of one solution. Key problems identified included: management of technical issues, goal setting for precepting sessions, clinic-specific information dissemination practices, and the loss of shared learning space with colleagues. Potential solutions included: a digital shared-learning plan for residents, a real-time virtual clinical bulletin board, an integrated virtual team huddle, and just-in-time digital chalk talks. Two prototypes are being developed for testing in the live precepting environment. KEY LESSONS FOR DISSEMINATION (WHAT CAN OTHERS TAKE AWAY FOR IMPLEMENTATION TO THEIR PRACTICE OR COMMUNITY): User-centered design can be deployed as an effective strategy to engage learners and preceptors in the design and development of educational innovations for the virtual training environment. We recommend collaborating with residents, preceptors, and other stakeholders in the iterative design of virtual learning tools

Breast cancer screening using Mammography serves as the earliest defense against breast cancer, revealing anomalous tissue years before it can be detected through physical screening. Despite the use of high resolution radiography, the presence of densely overlapping patterns challenges the consistency of human-driven diagnosis and drives interest in leveraging state-of-art localization ability of deep convolutional neural networks (DCNN). The growing availability of digitized clinical archives enables the training of deep segmentation models, but training using the most widely available form of coarse hand-drawn annotations works against learning the precise boundary of cancerous tissue in evaluation, while producing results that are more aligned with the annotations rather than the underlying lesions. The expense of collecting high quality pixel-level data in the field of medical science makes this even more difficult. To surmount this fundamental challenge, we propose LatentCADx, a deep learning segmentation model capable of precisely annotating cancer lesions underlying hand-drawn annotations, which we procedurally obtain using joint classification training and a strict segmentation penalty. We demonstrate the capability of LatentCADx on a publicly available dataset of 2,620 Mammogram case files, where LatentCADx obtains classification ROC of 0.97, AP of 0.87, and segmentation AP of 0.75 (IOU = 0.5), giving comparable or better performance than other models. Qualitative and precision evaluation of LatentCADx annotations on validation samples reveals that LatentCADx increases the specificity of segmentations beyond that of existing models trained on hand-drawn annotations, with pixel level specificity reaching a staggering value of 0.90. It also obtains sharp boundary around lesions unlike other methods, reducing the confused pixels in the output by more than 60%.

INTRODUCTION:Hemostasis depends on the delicate balance between coagulants and anticoagulants. Higher levels of circulating coagulants have been associated with higher risk of cerebral infarctions and dementia. In contrast, higher levels of circulating protein C, an endogenous anticoagulant, have been associated with lower risk of cerebral infarctions, and the association between protein C levels and the risk of dementia is unknown. The goal of this study was to evaluate the association of circulating protein C levels in midlife and late life with incident dementia. METHODS:Circulating protein C levels were measured using blood samples collected at the midlife baseline (1987-1989) and the late-life baseline (2011-2013) among 14,462 and 3,614 participants, respectively, in the Atherosclerosis Risk in Communities study. Protein C levels were measured using enzyme-linked immunosorbent assay at midlife and a modified aptamer-based assay at late life. Participants were followed up to 2013 from midlife and up to 2017 from late life. Incident dementia was ascertained during the follow-up periods using in-person cognitive and functional assessment, informant interviews, and International Classification of Diseases codes at hospitalization discharge and on death certificates. Cause-specific Cox regression models were used to evaluate the association between quintiles of circulating protein C and incident dementia. RESULTS:From midlife (mean age of 54), 1,389 incident dementia events were observed over a median follow-up of 23 years. From late life (mean age of 75), 353 incident dementia events were observed over a median follow-up of 4.9 years. At both midlife and late life, circulating protein C had an inverse association with incident dementia after adjusting for demographic, vascular, and hemostatic risk factors, incident stroke as time-dependent covariate, and incorporating stabilized weights based on propensity scores (quintile 5 vs. quintile 1 as the reference, midlife hazard ratio 0.80, 95% confidence interval 0.66-0.96, p value for trend 0.04; late-life hazard ratio 0.84, 95% confidence interval: 0.55-1.28, p value for trend 0.04). DISCUSSION/CONCLUSION:Circulating protein C has an inverse association with incident dementia independent of established risk factors, including stroke. Our results suggest studying anticoagulants in addition to coagulants can increase our understanding on the relationship between hemostasis and dementia.

Adult day centers (ADCs) are essential community resources that allow frail older adults to remain in their communities. Research demonstrates that ADC staff have the capacity to leverage their culturally and socially congruent relationships with clients and caregivers, to deliver evidence-based interventions that improve health outcomes. Yet, they remain a largely overlooked neighborhood resource for older adults with complex health care needs. The National Adult Day Services Association (NADSA) created a multistakeholder work group to identify priority areas for research to enhance the quality of services offered in ADCs and the delivery of evidence-based practices to clients. This perspective piece, which presents the workgroup's findings in the form of key research priorities, is intended as practical guide for researchers seeking to align their research questions with the needs of ADCs and those they serve. In addition to identifying areas of further exploration, we discuss current studies being undertaken within the ADC setting.

Introduction/UNASSIGNED:Adverse childhood experiences (ACEs) and trauma are common and can negatively impact children's health. Standardized patient (SP) learning may provide trainees with knowledge and skills to screen for and manage ACEs, apply trauma-informed care approaches, and teach resilience strategies. Methods/UNASSIGNED:With content experts, we developed three SP cases based on common clinical encounters, as well as didactic and debriefing materials. Case 1 focused on somatic symptoms in an adolescent with ACEs, case 2 focused on an ACE disclosure by a parent, and case 3 focused on de-escalation. The workshop required facilitators, SPs, simulation exam room and meeting space, and audiovisual equipment. It lasted 4 hours and included an orientation (1 hour), the three SP cases (totaling 2 hours), and group debriefing (1 hour). Results/UNASSIGNED:We conducted five identical workshops with 22 pediatric residents. Participants responded favorably to case fidelity and applicability to their clinical work. Resident mean self-assessment scores improved significantly from baseline. Specifically, we assessed comfort with inquiring about and discussing ACEs, explaining the health impacts of trauma, identifying protective factors, resilience counseling, and de-escalation. Over 90% of responses indicated that residents were likely to apply what they had learned to their clinical practice. Discussion/UNASSIGNED:These findings demonstrate that our SP cases were well received and suggest that such curricula can help pediatric residents feel more prepared to address trauma and promote resilience. Future work will assess these outcomes, as well as behavior change, in a larger sample to further substantiate these promising findings.

INTRODUCTION:Pooling (or combining) and analysing observational, longitudinal data at the individual level facilitates inference through increased sample sizes, allowing for joint estimation of study- and individual-level exposure variables, and better enabling the assessment of rare exposures and diseases. Empirical studies leveraging such methods when randomization is unethical or impractical have grown in the health sciences in recent years. The adoption of so-called "causal" methods to account for both/either measured and/or unmeasured confounders is an important addition to the methodological toolkit for understanding the distribution, progression, and consequences of infectious diseases (IDs) and interventions on IDs. In the face of the Covid-19 pandemic and in the absence of systematic randomization of exposures or interventions, the value of these methods is even more apparent. Yet to our knowledge, no studies have assessed how causal methods involving pooling individual-level, observational, longitudinal data are being applied in ID-related research. In this systematic review, we assess how these methods are used and reported in ID-related research over the last 10 years. Findings will facilitate evaluation of trends of causal methods for ID research and lead to concrete recommendations for how to apply these methods where gaps in methodological rigor are identified. METHODS AND ANALYSIS:We will apply MeSH and text terms to identify relevant studies from EBSCO (Academic Search Complete, Business Source Premier, CINAHL, EconLit with Full Text, PsychINFO), EMBASE, PubMed, and Web of Science. Eligible studies are those that apply causal methods to account for confounding when assessing the effects of an intervention or exposure on an ID-related outcome using pooled, individual-level data from 2 or more longitudinal, observational studies. Titles, abstracts, and full-text articles, will be independently screened by two reviewers using Covidence software. Discrepancies will be resolved by a third reviewer. This systematic review protocol has been registered with PROSPERO (CRD42020204104).