Faculty Bibliography

Psychosocial stressors are prevalent and linked to worse health outcomes, but are less frequently addressed than physically apparent medical conditions at primary care visits. Through a community-academic partnership between an art museum and a federally qualified health center, we developed an innovative museum-based intervention and evaluated its feasibility and acceptability among diverse, underserved patients and its perceived effects on psychosocial stressors. Guided by experiential learning and constructivist approaches, the intervention consisted of a single, three-hour session that incorporated group discussions and interactive components, including art-viewing, sketching, and object-handling. We used post-intervention focus groups to elicit feedback qualitatively. From July 2017 to January 2018, 25 patients participated. Focus groups revealed that the intervention exhibited therapeutic qualities, fostered self-reflection, catalyzed social connectivity, and functioned as a gateway to community resources. These findings can guide future research and development of community-based interventions to target the growing burden of psychosocial stressors among the underserved.

BACKGROUND: Clinical reasoning (CR) is a core component of medical training, yet residents often receive little feedback on their CR documentation. Here we describe the process of developing a machine learning (ML) algorithm for feedback on CR documentation to increase the frequency and quality of feedback in this domain.
METHOD(S): To create this algorithm, note quality first had to be rated by gold standard human rating. We selected the IDEA Assessment Tool-a note rating instrument across four domains (I=Interpretive summary, D=Differential diagnosis, E=Explanation of reasoning, A=Alternative diagnoses explained) that uses a 3-point Likert scale without descriptive anchors. To develop descriptive anchors we conducted an iterative process reviewing notes from the EHR written by medicine residents and validated the Revised-IDEA Assessment Tool using Messick's framework- content validity, response process, relation to other variables, internal structure, and consequences. Using the Hofstee standard setting method, cutoffs for high quality clinical reasoning for the IDEA and DEA scores were set. We then created a dataset of expertrated notes to create the ML algorithm. First, a natural language processing software was applied to the set of notes that enabled recognition and automatic encoding of clinical information as a diagnosis or disease (D's), a sign or symptom (E or A), or semantic qualifier (e.g. most likely). Input variables to the ML algorithm included counts of D's, E/A's, semantic qualifiers, and proximity of semantic qualifiers to disease/ diagnosis. ML output focused on DEA quality and was binarized to low or high quality CR. Finally, 200 notes were randomly selected for human validation review comparing ML output to human rated DEA score.
RESULT(S): The IDEA and DEA scores ranged from 0-10 and 0-6, respectively. IDEA score of >= 6.5 and a DEA score of >= 3 was deemed high quality. 252 notes were rated to create the dataset and 20% were rated by 3 raters with high intraclass correlation 0.84 (95% CI 0.74-0.90). 120 of these notes comprised the testing set for ML model development. The logistic regression model was the best performing model with an AUC 0.87 and a positive predictive value (PPV) of 0.65. 48 (40%) of the notes were high quality. There was substantial interrater reliability between ML output and human rating on the 200 note validation set with a Cohen's Kappa 0.64.
CONCLUSION(S): We have developed a ML algorithm for feedback on CR documentation that we hypothesize will increase the frequency and quality of feedback in this domain. We have subsequently developed a dashboard that will display the output of the ML model. Next steps will be to provide internal medicine residents' feedback on their CR documentation using this dashboard and assess the impact this has on their documentation quality. LEARNING OBJECTIVE #1: Describe the importance of high quality documentation of clinical reasoning. LEARNING OBJECTIVE #2: Identify machine learning as a novel assessment tool for feedback on clinical reasoning documentation

Background/UNASSIGNED:Cardiovascular disease (CVD) is a growing burden in low- and middle-income countries. Ghana seeks to address this problem by task-shifting CVD diagnosis and management to nurses. The Community-Based Health Planning and Services (CHPS) initiative offers maternal and pediatric health care throughout Ghana but faces barriers to providing CVD care. We employed in-depth interviews to identify solutions to constraints in CVD care to develop a nurse-led CVD intervention in two districts of Ghana's Upper East Region. Objective/UNASSIGNED:This study sought to identify non-physician-led interventions for the screening and treatment of cardiovascular disease to incorporate into Ghana's current primary health care structure. Methods/UNASSIGNED:Using a qualitative descriptive design, we conducted 31 semistructured interviews of community health officers (CHOs) and supervising subdistrict officers (SDOs) at CHPS community facilities. Summative content analysis revealed the most common intervention ideas and endorsements by the participants. Findings/UNASSIGNED:Providers endorsed three interventions: increasing community CVD knowledge and engagement, increasing nonphysician prescribing abilities, and ensuring provider access to medical and transportation equipment. Providers suggested community leaders and volunteers should convey CVD knowledge, marshaling established gathering practices to educate communities and formulate action plans. Providers requested lectures paired with experiential learning to improve their prescribing confidence. Providers recommended revising reimbursement and equipment procurement processes for expediting access to necessary supplies. Conclusions/UNASSIGNED:Frontline CHPS primary care providers believe CVD care is feasible. They recommended a three-pronged intervention that combines community outreach, provider training, and logistical support, thereby expanding task-shifting beyond hypertension to include other CVD risk factors. This model could be replicable elsewhere.

LEARNING OBJECTIVES 1: Describe a longitudinal curriculum to train internal medicine (IM) residents in point-of-care ultrasound (POCUS). LEARNING OBJECTIVES 2: Recognize the impact of decreased patient contact on residents' retention of POCUS skills. SETTINGAND PARTICIPANTS:Despite thewell-documented benefits of POCUS, internal medicine residents receive little formal training. We implemented a curriculumin the 2019 academic year to train 55 PGY-2 IMresidents in POCUS across four urban teaching hospitals and a method to evaluate its efficacy. As the COVID pandemic hit, we additionally sought to understand the impact of COVID on the efficacy of our curriculum and to ascertain from IM residents their barriers to using POCUS during the COVID pandemic. DESCRIPTION: The curriculum was composed of three workshops, consisting of lectures and hands-on practice covering lung, cardiac, abdominal, and lower extremity vascular views. Following the workshops, we sought to consolidate learners' knowledge with a subsequent year-long skill building phase. The skill-building phase was truncated due to the pandemic.A hands-on assessment was performed prior to the course and not repeated at course conclusion due to social distancing concerns. An online knowledge test was administered before the course, immediately following the course, and at one year. A survey assessing attitudes and barriers to POCUS was administered before the course and at one year. EVALUATION: No resident passed the pre-course hands-on assessment. Prior to the course, the average resident score was 54% on the online knowledge quiz; directly after the workshop series, the average rose to 78%. At one year, the average score on the online knowledge quiz was 74%, a statistically significant decrease (p=0.04). Ninety-one percent of residents reported performing POCUS at least once/month prior to the pandemic. During the pandemic, scanning activity decreased; 67% residents reported they scanned rarely or never. DISCUSSION/ REFLECTION / LESSONS LEARNED: Our course led to significant improvement of knowledge regarding ultrasound technology and image interpretation, however this decayed at one year, likely due to lack of skill reinforcement. Though POCUS was widely used prior to the pandemic, usage dropped at the pandemic's peak, despite its utility as both a diagnostic and therapeutic tool. The most commonly cited reason for lack of use was concern regarding contamination and infectious exposure. While the COVID pandemic disrupted our curriculum, it also highlighted opportunities to incorporate POCUS into clinical practice and reinforced the importance of continued longitudinal practice to retain learned skills

Background Little is known about the economic burden of NP lupus. We estimated direct and indirect costs (DC, IC) associated with NP events attributed to SLE and non-SLE causes using multistate modelling. Methods Patients fulfilling ACR classification criteria for SLE from 31 centres in 11 countries were enrolled within 15 months of diagnosis. NP events were documented annually using ACR NP definitions and attributed to SLE or non-SLE causes. At each assessment and for SLE and non-SLE events, patients were stratified into 1 of 3 NP states (no, resolved, or new/ongoing NP event). The change in NP status characterized by transition rates between states was analyzed using multistate modelling (doi:10.1002/art.41876). At each assessment, annual DC and IC were based on health resource use and lost work-force/non-work-force productivity over the preceding year. Resource use was costed using 2021 Canadian prices and lost productivity using Statistics Canada age-and-sex specific wages. Costs associated with SLE and non-SLE NP states were calculated by averaging all observations in each NP state. Multiple regressions adjusted for possible confounding of age at diagnosis, sex, race/ethnicity, disease duration, geographic region, education, and smoking on the association of annual DC and IC and NP state. 5 and 10-year cumulative costs for NP states were predicted by multiplying adjusted annual costs for each state by the expected state duration, forecasted using multistate modelling. Results 1697 patients (89% female, 51% non-Caucasian race/ ethnicity, mean age at enrolment 35.1 years) were followed a mean of 8.8 years. 1971 NP events occurred in 956 patients, 32% attributed to SLE. For SLE NP events, annual DC were higher in those with new/ongoing vs no events ($10,809 vs $6715) (table 1). Annual and 5-yr IC were higher in new/ ongoing vs no events and new/ongoing vs resolved events (5- yr: new/ongoing vs no: $172,674 vs $136,970). For non-SLE NP events, annual IC were higher in new/ongoing vs no events, new/ongoing vs resolved events, and resolved vs no events and 5 and 10-yr IC were higher in new/ongoing vs no events (10-yr: new/ongoing vs no: $342,434 vs $279,874). For all NP states, IC exceeded DC 2.8 to 4-fold. Conclusion IC are 1.3-fold higher in patients with new/ ongoing vs no NP events. While DC trended higher in new/ ongoing events, they were not significantly higher across all NP states and times. Impaired productivity associated with ongoing and resolved NP lupus is substantial, contributing to the previously documented reduced quality of life

STATEMENT OF PROBLEMOR QUESTION (ONE SENTENCE): To determine the feasibility and acceptability of using a virtual-only model for initiating and maintaining patients on PrEP (pre-exposure prophylaxis) for HIV prevention. LEARNING OBJECTIVES 1: Participants will be able to identify 3 key considerations in developing a clinical workflow for virtual PrEP initiation. LEARNING OBJECTIVES 2: Participants will be able to discuss 3-5 challenges associated with virtual PrEP initiation, and identify strategies to address these challenges. DESCRIPTION OF PROGRAM/INTERVENTION, INCLUDING ORGANIZATIONAL CONTEXT (E.G. INPATIENT VS. OUTPATIENT, PRACTICE OR COMMUNITY CHARACTERISTICS): The Family Health Centers at NYU Langone (FHC) is a federally qualified health center network with 8 clinical sites in Brooklyn, NY, primarily serving a low-income, immigrant community. Since 2016, FHC has operated a focused outreach program to promote PrEP to high-risk individuals, using targeted strategies to engage those not currently in PrEP care. Our intervention sought to expand on our successful outreach model by using tele health to remove geographic barriers to participation. We developed clinical and patient navigation workflows to enable patients to initiate and continue PrEP through virtual visits. For necessary labs, patients were supported in identifying a lab collection site convenient to their home. Patient navigation staff played a key role in risk reduction education, benefits navigation, and facilitating compliance with labs and virtual care. MEASURES OF SUCCESS (DISCUSS QUALITATIVE AND/OR QUANTITATIVEMETRICSWHICHWILL BEUSEDTOEVALUATE PROGRAM/INTERVENTION): The key measure of success is PrEP uptake and continuation among the virtual visits cohort. Additional evaluation measures include the referral source of patients for virtual PrEP initiation, patient demographics, and HIV risk-these measures will enable us to assess whether we are reaching a more diverse or higher risk population through this program. FINDINGS TO DATE (IT IS NOT SUFFICIENT TO STATE FINDINGS WILL BE DISCUSSED): The pilot project launched in October 2020. In the three months since project launch, 8 patients were served through this program. Six of the patients (75%) had been initially engaged with the FHC through the HIV prevention program, while two were existing FHC patients-one of whom had previously been in standard PrEP care, but struggled to make the in-person visits. Six patients were cisgender men who have sex with men, while two were transgender women. Virtual PrEP provided an opportunity to link patients to other needed healthcare services, including vaccination and STI treatment. KEY LESSONS FOR DISSEMINATION (WHAT CAN OTHERS TAKE AWAY FOR IMPLEMENTATION TO THEIR PRACTICE OR COMMUNITY): The tele health PrEP pilot program enabled us to reach a diverse group of high-risk patients, a majority of whom had not previously been engaged in care within our health system, and we anticipate continued growth this program as we expand our outreach to additional geographic areas. Navigation staff were key in overcoming some of the barriers associated with the virtual model by building relationships with the patients and serving as a reliable source of support for patients encountering logistical barriers. PrEP initiation by tele health must account for additional logistical considerations-most notably, ensuring patient compliance with labs-but it is a feasible approach for engaging high-risk patients in HIV prevention services