Faculty Bibliography

INTRODUCTION/BACKGROUND:COVID-19 forced health systems to rapidly implement telehealth for routine practice, often without sufficient training or standards. We conducted a longitudinal survey of physicians to explore changes in their perceptions of the challenges and benefits of telehealth and identify recommendations for future practice. METHODS:An anonymous online survey was distributed to a cohort of internal medicine physicians in May to June 2020 and March to June 2021. Changes in responses between 2020 and 2021 and by site (private vs. public) were described. These findings, along with those of a thematic analysis of open-ended responses to questions on telehealth experiences, informed a set of recommendations. RESULTS: = 0.027). Physicians' open-ended responses identified recommendations for further improving the design and use of telehealth. DISCUSSION/CONCLUSIONS:Results suggest that physician experience with telehealth improved but opportunities for training and improved integration remain. Longitudinal assessment can deepen understanding of the evolution of telehealth care.

Background: We recently implemented the Age-Friendly Health System's 4Ms (What Matters, Medication, Mentation, and Mobility) framework in New York City Health + Hospitals/Bellevue Hospital Center's Geriatrics clinic to improve care of older adults.
Method(s): We examined the impact of 4Ms assessment on patient care and changes in care processes through specific interventions triggered after assessment. We conducted chart reviews of patient visits during March 2021, the first month of 4Ms implementation and identified interventions made during these visits. To assess "What Matters" providers asked "What Matters the most to you;" potentially inappropriate Medications (PIM) were identified using the Beers list; Mentation was evaluated using the Mini-Cog; and Mobility was determined using timed up and go (TUG) test. We used descriptive statistics to characterize findings.
Result(s): Among the 121 patients who had 4Ms assessment in March 2021, 85% (n=103) were asked "What Matters;" providers reviewed Medications for almost all (n=118; 98%) and conducted a Mini-Cog for 64% (n=78). Most not cognitively assessed were either previously screened (n=11; 9%) or had dementia (n=12; 10%). Providers used the TUG test for 87% (n=105). What Mattered to patients most commonly was "getting better" (n=24; 23%). There were 39 (33%) patients with potentially inappropriate Medications (including proton pump inhibitors, gabapentinoids, and NSAIDS) of which 10 (26%) Medications were either discontinued or reduced. Other interventions included further cognitive evaluation (n=2) and home care referrals (n=2) among 14 (18%) with an abnormal Mini- Cog. Among the 51 (42%) patients with an abnormal TUG, providers intervened for 19 (37%) with devices, referrals or home services.
Conclusion(s): The adoption of 4Ms assessment during routine visits identified issues with Medications, Mentation and Mobility, triggering several interventions for common geriatric conditions. 4Ms assessment is a helpful strategy to organize geriatric care, routinely assess patients for common geriatric syndromes, and improve care. Future directions include prioritizing interventions integrated with "What Matters" to maintain patient-centered care

Background/UNASSIGNED:SARS-CoV-2 antigen-based tests are well-calibrated to infectiousness and have a critical role to play in the COVID-19 public health response. We report the development and performance of a unique lateral flow immunoassay (LFA). Methods/UNASSIGNED:Combinations of several monoclonal antibodies targeting multiple antigenic sites on the SARS-CoV-2 nucleocapsid protein (NP) were isolated, evaluated, and chosen for the development of a LFA termed CoV-SCAN (BioMedomics, Inc.). Clinical point-of-care studies in symptomatic and asymptomatic individuals were conducted to evaluate positive predictive agreement (PPA) and negative predictive agreement (NPA) with RT-PCR as comparator. Results/UNASSIGNED:In laboratory testing, CoV-SCAN detected 14 recombinant N-proteins of SARS-CoV-2 variants with sensitivity in the range of 0.2-3.2 ng/mL, and 10 authentic SARS-CoV-2 variants with sensitivity in the range of 1.6-12.5 TCID50/swab. No cross reactivity was observed with other human coronaviruses or other respiratory pathogens. In clinical point-of-care testing on 148 individuals over age 2 with symptoms of ≤5 days, PPA was 87.2% (CI 95: 78.3-94.8%) and NPA was 100% (CI 95: 94.2-100%). In another 884 asymptomatic individuals, PPA was 85.7% (CI 95: 42.1-99.6%) and 99.7% (99.0-99.9%). Overall, CoV-SCAN detected over 97.2% of specimens with CT values <30 and 93.8% of nasal swab specimens with the Omicron variant, even within the first 2 days after symptom onset. Conclusions/UNASSIGNED:The unique construction of CoV-SCAN using two pairs of monoclonal antibodies has resulted in a test with high performance that remains durable across multiple variants in both laboratory and clinical evaluations. CoV-SCAN should identify almost all individuals harboring infectious SARS-CoV-2. Summary/UNASSIGNED:Unique construction of a point-of-care rapid antigen test using two pairs of monoclonal antibodies has led to good performance that remained durable across multiple variants in laboratory and clinical evaluations. Test should identify almost all individuals harboring infectious SARS-CoV-2.

Importance:Accessing specialty care continues to be a persistent problem for patients who use safety-net health systems. To address this access barrier, hospital systems have begun to implement electronic referral systems using eConsults, which allow clinicians to submit referral requests to specialty clinics electronically and enable specialty reviewers to resolve referrals, if appropriate, through electronic dialogue without an in-person visit. Objective:Measure the effect of implementing an eConsult program on access to specialty care. Design Setting and Participants:Using an interrupted time series design with data from 2016 to 2020, this study analyzed 50 260 referral requests submitted during the year before and the year after eConsult implementation at 19 New York City Health + Hospitals (NYC H+H) specialty clinics that spanned 7 NYC H+H hospital facilities and 6 unique specialties. Exposures:Referral request was submitted to a specialty clinic in the year following eConsult implementation. Main Outcomes and Measures:Main outcomes included the fraction of referral requests resolved without an in-person visit following eConsult implementation; and, among requests triaged to have an in-person visit, the fraction of referrals with a successfully scheduled appointment, mean wait time to a specialty appointment, and the fraction of referral requests with a completed specialty visit. Changes associated with eConsult implementation were estimated using multivariate linear regression adjusting for patient age, gender, and specialty clinic fixed effects. Results: = .07). Changes in outcomes were mitigated during months when most clinics underwent an electronic health record transition after implementing eConsult. Conclusions and Relevance:In this quality improvement study, implementation of eConsults at a large multi-specialty safety-net system was associated with improvements in appointment scheduling rates and wait times. Despite an additional electronic health record transition, eConsults are a promising health care delivery tool for increasing access to specialty care.

STATEMENT OF PROBLEM OR QUESTION (ONE SENTENCE): In order to describe quality improvement (QI) methods for health systems, we report on 10-years of using Unannounced Standardized Patient (USP) visits as the core of a program of education, training, and improvement in a system serving vulnerable patients in partnership with an academic medical center. LEARNING OBJECTIVES 1: Consider methods for supporting learning healthcare systems LEARNING OBJECTIVES 2: Identify performance data to improve care DESCRIPTION OF PROGRAM/INTERVENTION, INCLUDING ORGANIZATIONAL CONTEXT (E.G. INPATIENT VS. OUTPATIENT, PRACTICE OR COMMUNITY CHARACTERISTICS): The IOM defines a Learning Healthcare System (LHCS) as one in which science, informatics, incentives and culture are aligned for continuous improvement and innovation and where best practices are seamlessly embedded in the delivery process and new knowledge is captured as an integral by-product of the delivery experience. As essential as electronic health records are to LHCS, such data fail to capture all actionable information needed to sustain learning within complex systems. USPs are trained actors who present to clinics, incognito, to portray standardized chief complaints, histories, and characteristics. We designed and delivered USP visits to two urban, safety net clinics, focusing on assessing physician, team, and clinical micro system functioning. MEASURES OF SUCCESS (DISCUSS QUALITATIVE AND/OR QUANTITATIVEMETRICSWHICHWILL BE USEDTOEVALUATE PROGRAM/INTERVENTION): Behaviorally anchored assessments are used to assess core clinical skills (e.g., communication, information gathering, patient education, adherence to guidelines, patient centeredness, and patient activation). Team functioning assessments include professionalism and coordination. Micro system assessment focuses on safety issues like identity confirmation, hand washing, and navigation. Data from these visits has been provided to the residency, primary care teams, and to leadership and have been used to drive education, team training, and QI. FINDINGS TO DATE (IT IS NOT SUFFICIENT TO STATE FINDINGS WILL BE DISCUSSED): 1111 visits have been sent to internal medicine and primary care residents and their teams/clinics. At the resident level, needs for additional education and training in depression management, opioid prescribing, smoking cessation, and patient activation were identified and informed education. Chart reviews found substantial variation in ordering of labs and tests. At the team level, USPs uncovered needs for staff training, enhanced communication, and better processes for eliciting and documenting Social Determinants of Health (SDoH). Audit/feedback reports on provider responses to embedded SDoH combined with targeted education/resources, were associated with increased rates of eliciting and effectively responding to SDoH. In the early COVID wave, USPs tested clinic response to a potentially infectious patient. Currently, USPs are being deployed to understand variability in patients' experience of telemedicine given the rapid transformation to this modality. Finally, generalizable questions about underlying principles of medical education and quality improvement are being asked & answered using USP data to foster deeper understanding of levers for change. KEY LESSONS FOR DISSEMINATION (WHAT CAN OTHERS TAKE AWAY FOR IMPLEMENTATION TO THEIR PRACTICE OR COMMUNITY): A comprehensive USP program can provide unique insights for driving QI and innovation and help sustain a LHCS

BACKGROUND: Healthcare systems rose to the challenges of COVID-19 by creating or expanding telehealth programs to ensure that patients could access care from home. Traditionally, though, physicians receive limited formal telemedicine training, which made preparedness for this transition uneven. We designed a survey for General Internal Medicine (GIM) physicians within our diverse health system to describe experiences with providing virtual patient care; with the ultimate goal of identifying actionable recommendations for health system leaders and medical educators.
METHOD(S): Surveys were sent to all faculty outpatient GIM physicians working at NYU Langone Health, NYC Health + Hospitals/Bellevue and Gouverneur, and the VA NY Harbor Health System (n=378) in May & June of 2020. Survey items consisted of Likert and open-ended questions on experience with televisits (13 items) and attitudes toward care (24 items). Specific questions covered barriers to communication over remote modalities.
RESULT(S): 195/378 (52%) responded to the survey. 96% of providers reported having problems establishing a connection from the patient's end while 84% reported difficultly establishing connection on the provider's end. Using interpreter services over the phone was also problematic for providers, with 38% reporting troubles. Regarding teamness, 35% of physicians found it difficult to share information with healthcare team members during virtual visits and 42% found it difficult to work collaboratively with team members, both when compared to in-person visits. When subdivided, 24% of private and 40% of public providers found info sharing more difficult (p<0.04). 31% of private providers and 45% of public found team collaboration more difficult (ns). Physicians also identified challenges in several domains including physical exams (97%), establishing relationships with new patients (74%), taking a good history (48%), and educating patients (35%). In thematic analysis of open-ended comments, themes emerged related to technological challenges, new systems issues, and new patient/provider communication experiences. Positives noted by physicians included easier communication with patients who often struggle with keeping in-person appointments, easier remote monitoring, and a more thorough understanding of patients' home lives.
CONCLUSION(S): Provider experience differences were rooted in the type of technology employed. Safety-net physicians conducted mostly telephonic visits while private outpatient physicians utilized video visits, despite both using the same brand of electronic medical record system. As we consider a new normal and prolonged community transmission of COVID-19, it is essential to establish telemedicine training, tools, and protocols that meet the needs of both patients and physicians across diverse settings. LEARNING OBJECTIVE #1: Describe challenges and barriers to effective communication and clinical skill utilization during televisits LEARNING OBJECTIVE #2: Conceptualize recommendations for educational curricula and health service improvement areas

BACKGROUND:Evidence-based preventive care in the USA is underutilized, diminishing population health and worsening health disparities. We developed Project ACTIVE, a program to improve adherence with preventive care goals through personalized and patient-centered care. OBJECTIVE:To determine whether Project ACTIVE improved utilization of preventive care and/or estimated life expectancy compared to usual care. DESIGN/METHODS:Single-site randomized controlled trial. PARTICIPANTS/METHODS:Cluster-randomized 140 English or Spanish speaking adult patients in primary care with at least one of twelve unfulfilled preventive care goals based on USPSTF grade A and B recommendations. INTERVENTION/METHODS:Project ACTIVE employs a validated mathematical model to predict and rank individualized estimates of health benefit that would arise from improved adherence to different preventive care guidelines. Clinical staff engaged the participant in a shared medical decision-making (SMD) process to identify highest priority unfulfilled clinical goals, and health coaching staff engaged the participant to develop and monitor action steps to reach those goals. MAIN MEASURES/METHODS:Change in number of unfulfilled preventive care goals from USPSTF grade A and B recommendations and change in overall gain in estimated life expectancy. KEY RESULTS/RESULTS:In an intent-to-treat analysis, Project ACTIVE increased the average number of fulfilled preventive care goals out of 12 by 0.68 in the intervention arm compared with 0.15 in the control arm (mean difference [95% CI] 0.53 [0.19-0.86]), yielding a gain in estimated life expectancy of 8.8 months (3.8, 14.2). In a per-protocol analysis, Project ACTIVE increased fulfilled preventive care goals by 0.80 in the intervention arm compared with 0.16 in the control arm (mean difference [95% CI], 0.65 [0.25-1.04]), yielding a gain in estimated life expectancy of 13.7 months (6.2, 21.2). Among the 12 preventive care goals, more improvement occurred for alcohol use, hypertension, hyperlipidemia, depression, and smoking. CONCLUSIONS:Project ACTIVE improved unfulfilled preventive care goals and improved estimated life expectancy. CLINICAL TRIAL REGISTRATION NUMBER/BACKGROUND:NCT04211883.

BACKGROUND: While much is known about the importance of addressing Social Determinants of Health (SDoH), less is known about how physicians elicit, respond to, and act upon their patients' SDoH information. We report on the results of a study that 1) sent Unannounced Standardized Patients (USPs) with programmed SDoH into clinics to assess whether providers uncovered, explored and acted upon the SDoH, 2) provided audit/feedback reports with educational components to clinical teams, and 3) tracked the impact of that intervention on provider response to SDoH.
METHOD(S): Highly trained USPs (secret shoppers) portrayed six scenarios (fatigue, asthma, Hepatitis B concern, shoulder pain, back pain, well-visit), each with specific housing (overcrowding, late rent, and mold) and social isolation (shyness, recent break up, and anxiety) concerns that they shared if asked broadly about. USPs assessed team and provider SDoH practices (eliciting, acknowledging/exploring, and providing resources and/or referrals). 383 USP visits were made to residents in 5 primary care teams in 2 urban, safety- net clinics. 123 visits were fielded during baseline period (Feb 2017-Jan 2018); 185 visits during intervention period (Jan 2018-Mar 2019) throughout which quarterly audit/feedback reports of the teams' response to the USPs' SDoH and targeted education on SDoH were distributed; and 75 follow-up phase visits were fielded (Apr-Dec 2019). Analyses compared rates of eliciting and responding to SDoH across the 3 periods (chi- square, z-scores). One team, by design, did not receive the intervention and serves as a comparison group.
RESULT(S): Among the intervention teams, the rate of eliciting the housing SDoH increased from 46% at baseline to 59% during the intervention period (p=.045) and also increased, but not significantly, for the social issue (40% to 52%, p=.077). There was a significant increase from baseline to intervention in providing resources/referrals for housing (from 7% to 24%, p=.001) and for social isolation (from 13% to 24%, p=.042) (mostly resources, very few referrals were made). The comparison team's rates followed a different pattern: eliciting the housing issue and the social isolation issue decreased from baseline to the intervention period (housing: 61% to 45%; social isolation: 39% to 33% of visits) and the rate of providing resources/referrals stayed steady at 13% for both. In the cases where SDoH were most clinically relevant, baseline rates of identifying the SDoH were high (>70%) but rates of acting on the SDoH increased significantly from baseline to intervention. Increases seen in the intervention period were not sustained in the follow-up period.
CONCLUSION(S): Giving providers SDoH data along with targeted education was associated with increased but unsustained rates of eliciting and responding to housing and social issues. The USP methodology was an effective means of presenting controlled SDoH and providing audit/feedback data. Ongoing education and feedback may be needed

BACKGROUND: Social determinants of health (SDoH) play a significant role in health outcomes, but little is known about care teams' attitudes about addressing SDoH. Our safety-net clinic has begun to implement SDoH screening and referral systems, but efforts to increase clinical responses to SDoH necessitates an understanding of how providers and clinical teams see their roles in responding to particular SDoH concerns.
METHOD(S): An annual survey was administered (anonymously) to clinical care teams in an urban safety-net clinic from 2017-2019, asking about ten SDoH conditions (mental health, health insurance, food, housing, transportation, finances, employment, child care, education and legal Aid). For each, respondents rated with a 4-point Likert-scale whether they agreed that health systems should address it (not at all, a little, somewhat, a great deal). They also indicated their agreement (using strongly disagree, somewhat disagree, somewhat agree, strongly agree) with two statements 1) resources are available for SDoH and 2) I can make appropriate referrals.
RESULT(S): 232 surveys were collected (103 residents, 125 faculty and staff (F/S), 5 unknown) over three years. Of note, mental health (84%) and health insurance (79%) were seen as very important for health systems to address, with other SDoH items seen as very important by fewer respondents. They reported little confidence that the health system had adequate resources (51%) and were unsure how to connect patients with services (39%). When these results were broken out by year, we found the following: In 2017 (n=77), approximately 35% of respondents thought the issues of employment, childcare, legal aid, and adult education should be addressed "a little," but in 2018 (n=81) and 2019 (n=74) respondents found the health system should be more responsible, with over 35% of respondents stating that these four issues should be addressed "somewhat" by health systems. In addition, half of respondents in 2019 felt that financial problems should be addressed "a great deal," up from 31% in 2017. Across all years, food, housing, mental health, and health insurance were seen as SDoH that should be addressed "a great deal". It is of note that respondents across all years reported limited understanding of referral methods and options available to their patients.
CONCLUSION(S): Many of the SDoH conditions were seen by respondents as outside the purview of health systems. However, over the three years, more members increased the number of SDoH conditions that should be addressed a "great deal." Responses also indicated that many of the team members do not feel prepared to deal with "unmet social needs". Additional examination of clinic SDoH coding, referral rates, resources, and team member perspectives will deepen our understanding of how we can cultivate a culture that enables team members to respond to SDoH in a way that is sensitive to their needs and patient needs