Faculty Bibliography

Statement of Problem Or Question (One Sentence): The increasing complexity of admitted patients, shorter hospital stays and post-acute care adverse events demand a more sophisticated and effective coordination of care between hospitalists and Primary care providers (PCPS). Objectives of Program/Intervention (No More Than Three Objectives): 1. Standardizing communication between Hospitalist and PCP during hospitalization will lower the rate of readmission due to lack of PCP follow up and post-acute care adverse events. 2. Implementing this practice into our daily workflow will improve PCP satisfaction and increase referrals to our institution. Description of Program/Intervention, Including Organizational Context (E.G. Inpatient Vs. Outpatient, Practice or Community Characteristics): We reviewed a root-cause survey of 30 day readmissions between 1/2018-4/2018 as well as readmission rates for each of our hospitalists. We surveyed our PCPS' satisfaction with communication experiences with our hospitalist group. Finally, we conducted a semi-structured interview of the hospitalist with the lowest readmission (8% vs 12% average for other hospitalists) and highest PCP satisfaction rates, Dr. A, to develop best practices for closed loop communication. Based on this data, we designed a protocol and piloted on 5/1/2018, where the hospitalist contacts the PCP via phone call on admission and delivers a discharge narrative to the PCP via our EMR's routing capability. We used a trackable smart phrase to document the communication. For the prospective phase, we will operationalize these best practices in a study group, Family Health Center PCPS. A control group (community PCPS) will receive usual practice. Measures of Success (Discuss Qualitative And/Or Quantitative Metrics Which Will Be Used To Evaluate Program/Intervention): We will compare readmission rates between the study group and control group, monitoring the proportion and absolute number of readmissions attributed to no PCP follow up or medication errors. Follow up satisfaction surveys will be sent to the PCPS 6 months after our revised communication practice. Finally, we will monitor the hospitalists' compliance with the smart phrase. Findings To Date (It Is Not Sufficient To State Findings Will Be Discussed): A review of our institution's 30 day readmissions between 1/2018-4/2018 found that 19% were attributed to lack of PCP/outpatient provider follow-up. Surveys of our community PCPS showed 70% reported being contacted by the hospitalist group in less than 25% of the time. Results from Dr. A's interview revealed that after her encounter with the patient, she calls the patient's PCP highlighting the admitting diagnosis, significant events, pertinent labs, imaging and medications. Dr. A then delivers a discharge narrative to the PCP on the day of discharge highlighting any medication changes, incidental findings and follow up. On a random audit of 100 charts between 5/1/2018-10/30/2018 our preliminary data show that there was 88% compliance with using the smart phrase by the hospitalists. Key Lessons For Dissemination (What Can Others Take Away For Implementation To Their Practice Or Community?): Using a "positive deviance" approach, we identified best practices for hospitalist-PCP closed loop communication to develop an intervention to improve this aspect of care. If we are successful in reducing readmission rates and improving PCP satisfaction, we will expand to all of our PCPS and ultimately expand to other services to implement this program as best practice

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

Background: In ED patients who present with acute drug overdose, severe QTc prolongation (>500 ms) has been shown to be a predictor of adverse cardiovascular events (ACVE). However, it is unclear what clinical factors are associated with delayed severe QTc prolongation (dsQTp), and it is unknown whether dsQTp can predict ACVE. This study aims to: (1) Define clinical factors associated with dsQTp, and (2) test whether dsQTp is an independent predictor for ACVE.
Method(s): This was a prospective cohort study at 2 urban tertiary care EDs. Data was collected by trained research assistants, and included demographics, drug exposure, medication administration, initial and repeat ECG data, lab data, and outcome measures. dsQTp was defined as presence of initial QTc 499. The primary study outcome was the composite of ACVE defined as in-hospital occurrence of any of the following: MI, shock, ventricular dysrhythmia, and cardiac arrest. Univariate statistics and multivariable logistic regression calculations were made using SPSS version 24. With a fixed sample size of 1670, we calculated that we would have 99% power to show a 3-fold increase in risk with 0.05 alpha.
Result(s): Out of 2311 patients screened, 641 were excluded (age 500) leaving 1670 patients for analysis. The dsQTp group (N = 27) was found to be older than the control group (N = 1643)(40.1 vs 51.6, P
Conclusion(s): This cohort study reveals a subset of ED patients who are at greater risk of overdose-related ACVE but not immediately apparent by the initial ECG. Further study is needed to identify which patients are at risk for dsQTp, as they may require prolonged observation and repeated ECGs. Limitations include missing repeat QTc measurements, and inability to control for overdose severity as a surrogate for repeat ECGs. Future study is warranted to further characterize patients at risk for dsQTp to evaluate other exposure-related factors as yet undiscovered

Background: The growing opioid overdose epidemic has grappled the nation with the CDC now reporting that drug overdose deaths have become the most common cause of death for young people. Medical education has historically ignored substance use disorders, and though they generally require all medical students to learn basic life support, they have not taught how to respond to opioid overdoses. Further, medical education is moving towards modalities which utilize adult learning theory. One such modality are online modules. However, there are few studies comparing their outcomes with traditional lectures. Previously, the authors compared in-person and online training of medical students to respond to opioid overdoses using naloxone in a non-randomized controlled setting, which showed no meaningful differences in knowledge, attitudes, and preparedness outcomes for students. In this paper, the authors attempt to use a randomized controlled trial to compare the two educational modalities at a second urban medical school.
Objective(s): The author's primary objective was to demonstrate non-inferiority of online compared to in-person training for knowledge. Our secondary objective were to show non-inferiority of online compared to in-person training attitudes, and preparedness.
Method(s): Our study received IRB exemption as an education intervention. As a part of a transition to clinical clerkships curriculum used for second year medical students, second year medical students in an urban medical school were randomized into training sessions by the office of medical education without foreknowledge of the planned study. Students taking the online training were provided with a link to online modules with pre- and post-tests and video based lectures. Students randomized to the in-person training group took a pre-test just prior to receiving an oral lecture, and then immediately completed a post-test. Paired student's t-tests were used to compare measurements for each group in knowledge, attitudes, and preparedness, and Cohen's D was used to measure the effect size of the change. We calculated 99% confidence intervals for each measure and utilized a margin of non-inferiority of 5%.
Result(s): The in-person group demonstrated a statistically significant increase in knowledge, a non-statistically significant decrease in self-reported preparedness, and a small non-statistically significant increase in attitudes, see Table 1. The online group demonstrated a statistically significant increase in knowledge and self-reported preparedness, without a statistically significant change in attitudes, see Table 1. 99% CIs were [-0.20, 1.09] for knowledge, [6.51, 10.93] for preparedness, and [-2.32, 1.59] for attitudes, see Figure 1.
Conclusion(s): Online training for opioid overdose prevention training provided non-inferior outcomes for knowledge, preparedness, and attitudes. This study supports the use of online opioid overdose prevention training as a non-inferior alternative to in-person training

Background: As research supporting potential benefits of social risk screening in health settings continues to emerge, there is little data on the patient perspective on social screening. The aim of this study is to describe the perspectives and preferences of patients and caregivers on being screened for social risks in diverse health care settings.
Method(s): As part of a larger mixed Methods multi-site study, we conducted semi-structured interviews lasting approximately 30 minutes with patients or caregivers who had completed the Center for Medicare and Medicaid Innovation (CMMI) social risk screening tool. After completion of the screening questions, 5 randomly selected respondents from each of 10 study sites were invited to participate in an interview. Interviews were conducted in English or Spanish. The interview guide asked about reactions to social risk screening and screening acceptability, preferences on screening administration, prior experiences that informed perspectives, and expectations for social assistance. Interviews were recorded, transcribed and translated. Two coders used basic thematic analysis and constant comparative Methods to identify codes, group codes into unified themes and map themes into domains of screening acceptability.
Result(s): Fifty adult patients or caregivers participated in semi-structured interviews across all study sites, which included 6 primary care clinics and 4 emergency departments. Respondents were 78% female, 36% Black, 32% Hispanic, 20% caregivers, and 71% reported having one or more social risk factor. There was broad consensus among interviewees across all clinical sites that social risk screening was acceptable. Several themes emerged: (1) respondents felt screening was the " right thing to do; " (2) respondents identified framing and compassionate approach as the most important aspects of administration; (3) respondents had insight into the connections between social risks and physical and mental health. Despite overall agreement that social risk screening is appropriate, respondents did not expect their health care team to address or resolve all of the identified issues. Interviewees felt referrals out to social services and resource sheets were adequate, and that there was benefit to the act of screening itself. Patients emphasized that screening should be done with empathy while protecting patient confidentiality.
Conclusion(s): Respondents agree that social risk screening is important, acceptable, and relevant to health. Respondents believed social risk screening would be most acceptable when implemented by a clinic staff member trained to ensure privacy and compassion. Despite published concerns about futility of social risk screening when social resources are inadequate, respondents expressed that they did not expect the health care system, and physicians in particular, to solve unmet social problems. Done appropriately, screening for social risk can build trust and strengthen relationships between patients and health care providers

Background: Older adults with diabetes continue to be overtreated despite current guidelines recommending less aggressive target A1c levels based on life expectancy. The suboptimal management of this vulnerable population could be due to physicians having conflicting beliefs regarding this guideline or simply lacking awareness, and changing these behaviors is challenging. Clinical decision support (CDS) within the electronic health record (EHR) has the potential to address this issue, but effectiveness is undermined by alert fatigue and poor workflow integration. Incorporating behavioral economics into CDS tools is an innovative approach to improve adherence to these guidelines while reducing physician burden, and offers the promise of improving care in this population.
Method(s): We applied a systematic, user-centered approach to incorporate behavioral economic " nudges" into a CDS module and performed user testing in six pilot primary care practices in a large academic medical center. To build the nudges, we conducted: (1) semi-structured interviews with key informants (n=8); (2) a two-hour design thinking workshop to derive and refine initial module ideas; and (3) semi-structured group interviews at each site with clinic leaders and clinicians to elicit feedback on the module components. Clinicians were observed using the module in practice; detailed field notes were collected and summarized by module idea and usability theme for rapid iteration and refinement. Frequency of firing and user action taken were assessed in the first month of implementation via EHR reporting to confirm that module components and reporting were working as expected, and to assess utilization.
Result(s): Insights from key stakeholder and clinician group interviews identified the refill protocol, inbasket lab result, and medication preference list as candidate EHR CDS targets for the module. A new EHR navigator section notification and peer comparison message, derived from the design workshop, were also prototyped and produced. User feedback from site visits confirmed compatibility with clinical workflows, and contributed to refinement of design and content. The initial prototypes were first piloted at two sites, refined, and then activated at an additional four additional sites. Preliminary Results for the six clinics indicate that over approximately 31 weeks: 1) the navigator alert fired 1047 times for 53 unique clinicians, and 2) the refill protocol alert fired 421 times for 53 unique clinicians. Reports for the other " nudges" are in development.
Conclusion(s): Integrating behavioral economic nudges into the EHR is a promising approach to enhancing guideline awareness and adherence for older adults with diabetes. This novel pilot will demonstrate the initial feasibility and preliminary efficacy of this strategy and determine if a full-scale effectiveness trial is warranted

Background: Current guidelines for diabetes screening start at age 45, but disparities in certain subgroups exist and poor diabetic outcomes are known to cluster in specific neighborhoods. The objective of this study was to quantify disparities in the age distribution of patients with type 2 diabetes by sex, race/ethnicity, and geographic location. We also studied how patient age relates to diabetes-related hospital use and development of diabetic complications.
Method(s): Using all-payer hospital claims data, we performed a cross-sectional analysis of patients with type 2 diabetes. Our study included patients in New York City as identified by geocoded home address. Patients aged 10 to 100 years old were identified as having type 2 diabetes based on diagnosis codes from emergency claims data from 2011-2015. Our main measures included the estimated prevalence of type 2 diabetes at each year of life, the age distribution of patients as stratified by decade, and the comparison of patient age in geographic hotspots of frequent diabetes-related hospital use and diabetic complications.
Result(s): We identified 576,306 unique patients diagnosed with type 2 diabetes, which represented over half of all cases in New York City. Minority subgroups were on average 5.5 to 8.4 years younger than non-Hispanic White patients. Males with type 2 diabetes were 2.6 years younger than females. At 45 years of age, the estimated prevalence of type 2 diabetes was 10.9% among Black patients compared to 5.2% among White patients. In our geospatial analyses, patients with type 2 diabetes were on average 5.9 years younger in hotspots of diabetes-related emergency department use and inpatient hospitalizations. The average age of patients with type 2 diabetes was 1.5 to 2.2 years younger in hotspots of microvascular diabetic complications.
Conclusion(s): We identified profound disparities in the age of patients with type 2 diabetes among minorities and in neighborhoods with poor health outcomes. The younger age of these patients may be due to earlier onset of diabetes and/or earlier death from diabetes-related complications. Our findings demonstrate the need for geographically targeted interventions that promote earlier diagnosis and better glycemic control to reduce disparities in diabetes burden. [Figure Presented] Age Distribution of Patients with Type 2 Diabetes by Race and Ethnicity

This study used repeated measures data to identify developmental profiles of elevated risk for ADHD (i.e., six or more inattentive and/or hyperactive-impulsive symptoms), with an interest in the age at which ADHD risk first emerged. Risk factors that were measured across the first 3 years of life were used to predict profile membership. Participants included 1,173 children who were drawn from the Family Life Project, an ongoing longitudinal study of children's development in low-income, nonmetropolitan communities. Four heuristic profiles of ADHD risk were identified. Approximately two thirds of children never exhibited elevated risk for ADHD. The remaining children were characterized by early childhood onset and persistent risk (5%), early childhood limited risk (10%), and middle childhood onset risk (19%). Pregnancy and delivery complications and harsh-intrusive caregiving behaviors operated as general risk for all ADHD profiles. Parental history of ADHD was uniquely predictive of early onset and persistent ADHD risk, and low primary caregiver education was uniquely predictive of early childhood limited ADHD risk. Results are discussed with respect to how changes to the age of onset criterion for ADHD in DSM5 may affect etiological research and the need for developmental models of ADHD that inform ADHD symptom persistence and desistance.

Growing epidemiologic evidence supports chronic inflammation as a mechanism of ovarian carcinogenesis. An association between a circulating marker of inflammation, C-reactive protein (CRP), and ovarian cancer risk has been consistently observed, yet, potential heterogeneity of this association by tumor and patient characteristics has not been adequately explored. In this study, we pooled data from case-control studies nested within six cohorts in the Ovarian Cancer Cohort Consortium (OC3) to examine the association between CRP and epithelial ovarian cancer risk overall, by histologic subtype and by participant characteristics. CRP concentrations were measured from pre-diagnosis serum or plasma in 1,091 cases and 1,951 controls. Multivariable conditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). When CRP was evaluated using tertiles, no associations with ovarian cancer risk were observed. A 67% increased ovarian cancer risk was found for women with CRP concentrations >10mg/L compared to <1mg/L (OR=1.67, 95% CI=1.12, 2.48). A CRP concentration >10mg/L was positively associated with risk of mucinous (OR=9.67, 95% CI=1.10, 84.80) and endometrioid carcinoma (OR=3.41, 95% CI=1.07, 10.92), and suggestively positive, though not statistically significant, for serous (OR=1.43, 95% CI=0.82, 2.49) and clear cell carcinoma (OR=2.05, 95% CI=0.36, 11.57; p-heterogeneity=0.20). Heterogeneity was observed with oral contraceptive use (p-interaction=0.03), where the increased risk was present only among ever users (OR=3.24, 95% CI=1.62, 6.47). The present study adds to the existing evidence that CRP plays a role in ovarian carcinogenesis, and suggests that inflammation may be particularly implicated in the etiology of endometrioid and mucinous carcinoma.

BACKGROUND:Sub-Saharan Africa (SSA) has the highest number of people living with HIV/AIDS, with Nigeria, South Africa, and Uganda accounting for 48% of new infections. A systematic review of the HIV burden among women engaged in sex work (WESW) in 50 low- and middle-income countries found that they had increased odds of HIV infection relative to the general female population. Social structural factors, such as the sex work environment, violence, stigma, cultural issues, and criminalization of sex work are critical in shaping sexually transmitted infection (STI)/HIV risks among WESW and their clients in Uganda. Poverty is the most commonly cited reason for involvement in sex work in SSA. Against this backdrop, this study protocol describes a randomized controlled trial (RCT) that tests the impact of adding economic empowerment to traditional HIV risk reduction (HIVRR) to reduce new incidence of STIs and HIV among WESW in Rakai and the greater Masaka regions in Uganda. METHODS:This three-arm RCT will evaluate the efficacy of adding savings, financial literacy and vocational training/mentorship to traditional HIVRR on reducing new incidence of STI infections among 990 WESW across 33 hotspots. The three arms (n = 330 each) are: 1) Control group: only HIVRR versus 2) Treatment group 1: HIVRR plus Savings plus Financial Literacy (HIVRR + S + FL); and 3) Treatment group 2: HIVRR plus S plus FL plus Vocational Skills Training and Mentorship (V) (HIVRR + S + FL + V). Data will be collected at baseline (pre-test), 6, 12, 18 and 24-months post-intervention initiation. This study will use an embedded experimental mixed methods design where qualitative data will be collected post-intervention across all conditions to explore participant experiences. DISCUSSION:When WESW have access to more capital and/or alternative forms of employment and start earning formal income outside of sex work, they may be better able to improve their skills and employability for professional advancement, thereby reducing their STI/HIV risk. The study findings may advance our understanding of how best to implement gender-specific HIV prevention globally, engaging women across the HIV treatment cascade. Further, results will provide evidence for the intervention's efficacy to reduce STIs and inform implementation sustainability, including costs and cost-effectiveness. TRIAL REGISTRATION:ClinicalTrials.gov , ID: NCT03583541 .