Faculty Bibliography

The transitional period between hospital discharge and primary care follow-up is a vulnerable time for patients that can result in adverse health outcomes and preventable hospital readmissions. This is especially true for patients of safety-net hospitals (SNHs) who often struggle to secure primary care access when leaving the hospital due to social, economic and cultural barriers. In this study, we describe a resident-led postdischarge clinic that serves patients discharged from NYU Langone Hospital-Brooklyn, an urban safety-net academic hospital. In our multivariable analysis, there was no statistical difference in the readmission rate between those who completed the transitional care management and those who did not (OR 1.32 (0.75-2.36), p=0.336), but there was a statistically significant increase in primary care provider (PCP) engagement (OR 0.53 (0.45-0.62), p<0.001). Overall, this study describes a postdischarge clinic model embedded in a resident clinic in an urban SNH that is associated with increased PCP engagement, but no reduction in 30-day hospital readmissions.

Introduction: Epidemiologic studies continue to show disparities in CRC screening. Demographic factors including age, gender, race/ethnicity, level of education, and primary language affect the chance of having age-appropriate CRC screening. The endpoint of this study was to investigate potential differences in CRC screening by gender, race/ethnicity, and primary language in one of the largest Federally Qualified Health Center (FQHC) networks in the U.S.
Method(s): In this retrospective, observational study, data was obtained from the electronic medical records (EMR) of 12,663 patients aged 50-75 years old seen at Family Health Centers at NYU Langone during the period between August 2019 and July 2020.
Result(s): CRC screening was done in n54034 (56.6%) females, but only n52531 (45.7%) males. In terms of race/ethnicity, CRC screening was done in n54002 (58.9%) in Hispanics, n5723 (63.7%) Non- Hispanic Asians, n5 1341 (40.5%) Non-Hispanic African/Americans and n5 468 (34.4%) Non-Hispanic-Whites. In terms of language, CRC screening was done in n5 2842 (42.4%) English-speaking patients, n5 3071 (62%) Spanish-speaking patients and n5 575 (66.8%) Chinese-speaking patients.
Conclusion(s): Age-appropriate CRC screening rates differed by gender, race/ethnicity, and primary language. The lower age-appropriate CRC screening rate in males is consistent with what we know about CRC screening trends in the U.S. Surprisingly, the age-appropriate CRC screening rate was higher in Non-Hispanic Asians and Hispanics, and in those who speak a language other than English. Additionally, the ageappropriate CRC screening rate was higher in non-Hispanic African Americans than in Non-Hispanic-Whites. (Table). Improvement in CRC screening in Hispanics, Non-Hispanic Asians, and non-Hispanic African Americans has likely been due to EMR best practice and care gap flags which prompt providers to screen patients. Within the immigrant population, both literacy and culture have been shown to have a strong impact on health care utilization. Diminishing disparities in screening further may require increasing patient education that is culturally sensitive and accessible for patients with low health literacy

BACKGROUND: New York City became the epicenter of the COVID-19 pandemic in the US, reporting its first case of SARS-CoV-2 on March 1, 2020. Patients with co-morbid conditions such as hypertension and diabetes are disproportionately impacted by COVID-19. Hospital systems have been burdened nationwide, including community and safety-net hospitals who serve medically underserved populations, placing them at risk from a resource-needs standpoint. Our study aim is to describe the clinical presentation and outcomes of hospitalized patients with COVID-19, and to highlight the burden on community hospitals, in order to guide health policy and resource allocation in future crises.
METHOD(S): We conducted a retrospective case series of patients admitted to NYU Langone Hospital - Brooklyn between March 13th and April 4th, 2020. Reverse-transcriptase polymerase chain reaction nasopharyngeal swab confirmed infection with the SARS-CoV-2 virus. Clinical demographics were obtained from the electronic health record (Epic Hyperspace, Madison, WI). The primary outcome was time-to-event, defined as transfer to an intensive care unit, mechanical ventilation or death from time of admission. Statistical analysis was performed using Stata SE 16 (StataCorp, College Station, TX).
RESULT(S): There were 561 patients admitted with a median age of 61 years(IQR 48-74). See Table 1. The median time to composite event was 4.13 days(IQR: 2.23-7.97).
CONCLUSION(S): Our results show that the impact of COVID-19 on a community hospital is similar to what has been reported in the literature for tertiary centers, implying that safety-net hospitals can play an integral role in future impact mitigation. These implications hold true as the pandemic continues to disproportionately affect those with chronic diseases. As cases of COVID-19 near 20 million, our experience positions us as harbingers who can provide insight for resource allocation across the US. LEARNING OBJECTIVE #1: Patient Care: Identify the characteristics in patients with COVID-19 associated with increased risk for hospitalization LEARNING OBJECTIVE #2: Medical Knowledge: Understand the outcomes related to COVID-19 in a diverse population

Statement of Problem Or Question (One Sentence): Can a home visit complex care management program successfully identify and engage high risk patients in a FQHC? Objectives of Program/Intervention (No More Than Three Objectives): 1. Identify patients at an FQHC who are at risk for preventable hospitalization 2. Enroll and engage patients in a home visit based complex care management program. Description of Program/Intervention, Including Organizational Context (E.G. Inpatient Vs. Outpatient, Practice or Community Characteristics): The Primary Care Plus program (PCP+) is a home visit based program established to address the needs of patients at risk for preventable hospitalizations within the Family Health Centers at NYU Langone. The program staff-a physician, a nurse practitioner, a social worker and 2 community health workers-coordinate as a team to identify and address the biopsychosocial needs of high risk patients. A key intervention is the home visit lead by a physician or nurse practitioner to perform the medical assessment, medication reconciliation, and identification of both medical and social impediments to optimal health. The program is not intended to replace the patient's primary care provider, but to function as an addition to the patient's care team, identifying and mitigating risk drivers, and handing off to the primary team and care management resources once the risk drivers have been addressed. Patients are referred into the program by either their primary care doctors or care management. The program is restricted to those patients who have a continuity relationship in the Federally Qualified Health Center, and who are identified as being at risk for a preventable hospitalization. Latitude is given to the referral source in how patients are identified; guidance is given to focus on patients with a history of preventable hospitalizations (as defined by PQI) or patients with advanced disease and potential palliative care needs. Measures of Success (Discuss Qualitative And/Or Quantitative Metrics Which Will Be Used To Evaluate Program/Intervention): The primary measure of success is patient engagement. Patient engagement is defined by both consent to the program and successful home visit by the medical provider. Other outcome metrics are patient characteristics, number of emergency department visits and number of inpatient hospitalizations in the 12 months before program enrollment. Findings To Date (It Is Not Sufficient To State Findings Will Be Discussed): Since program inception in August 2018 through December 31, 2018, 75 patients have been identified by care management or primary care providers as potential candidates for the program and who met criteria as defined above. Of the 75 patients, 6 (8%) declined the program, and another 10 (13.3%) could not be found. The remaining 59 patients were seen at home and assessed. Total engagement was 78.7%. Patients identified represent a cohort of patients with an average of 2.0 inpatient admissions and 3.2 emergency department visits in the preceding 12 months prior to enrollment. Key Lessons For Dissemination (What Can Others Take Away For Implementation To Their Practice Or Community?): Identification of a high-risk patient population in a federally qualified health center and referral into a home visit based care management program is associated with high acceptance and engagement. Future study will determine if patients enrolled in the program have an impact on risk drivers and preventable hospitalizations