Faculty Bibliography

Background: Electronic cigarettes (EC) have been proposed as a harm-reducing alternative in smokers with COPD. Racial and ethnic differences can affect the extent to which smokers in the general population switch from combustible cigarettes (CC) to EC. To help design a targeted intervention for smokers with COPD, we conducted a mixed methods study assessing the relationship between race/ethnicity and switching from CC to EC; and evaluated whether it is mediated by social norms, risk perception, and overall opinions of CC and EC.
Method(s): We recruited patients with COPD, aged 21 to 75, listed as current smokers in the NYU Langone Health electronic health record by phone, mail, and My Chart. Smokers who had moderate COPD (based on the COPD Assessment Test score (CAT)), who smoked >=5 CC a day at least 4 days a week and were interested in quitting were eligible. We randomized participants to EC or nicotine replacement therapy (NRT) for switching from CC. Over 12 weeks, participants received 5 counseling sessions and were asked about their COPD symptoms, CC use, NRT/EC use, and nicotine withdrawal symptoms. We used Ecological Momentary Assessment (four text messages/day) to assess current EC/NRT and CC use. We analyzed the influence of race and ethnicity on switching, considering social norms, risk perception, media influence and overall opinions of tobacco and EC as possible mediators. We conducted in-depth interviews to gain descriptive explanations of study experience and reasons for switching or lack thereof. We used chi squared tests to compare categorical variables and analysis of variance for continuous ones.
Result(s): Among the 48 participants, the average age was 60 (STD 8.2) years and 54% were female. Races/ethnicities were 8% Black; 8% Hispanic/Latino; 81% White; and 3% Other/Not Reported. There was a trend towards decreased dyspnea and COPD symptoms, as well as decreased CC use, in the EC arm compared to the NRT arm. We are still collecting the qualitative data on switching perceptions.
Conclusion(s): Understanding the extent to which racial and ethnic differences in switching from CC to EC can be attributed to social norms, risk perception, media influence, and overall opinions of tobacco and EC; may allow us to design a more effective, more engaging smoking cessation intervention

Background/UNASSIGNED:While societal acceptance for sexual and gender minority (SGM) individuals is increasing, this group continues to face barriers to quality healthcare. Little is known about clinicians' experiences with SGM patients in the oncology setting. To address this, a mixed method survey was administered to members of the ECOG-ACRIN Cancer Research Group. Materials and methods/UNASSIGNED:We report results from the open-ended portion of the survey. Four questions asked clinicians to describe experiences with SGM patients, reservations in caring for them, suggestions for improvement in SGM cancer care, and additional comments. Data were analyzed using content analysis and the constant comparison method. Results/UNASSIGNED:The majority of respondents noted they had no or little familiarity with SGM patients. A minority of respondents noted experience with gay and lesbian patients, but not transgender patients; many who reported experience with transgender patients also noted difficulty navigating the correct use of pronouns. Many respondents also highlighted positive experiences with SGM patients. Suggestions for improvement in SGM cancer care included providing widespread training, attending to unique end-of-life care issues among SGM patients, and engaging in efforts to build trust. Conclusion/UNASSIGNED:Clinicians have minimal experiences with SGM patients with cancer but desire training. Training the entire workforce may improve trust with, outreach efforts to, and cancer care delivery to the SGM community.

BACKGROUND:Older adults account for a large proportion of emergency department visits, but those with serious life-limiting illness may benefit most from referral to home and community services instead of hospitalization. We aim to document emergency provider perspectives on facilitators and barriers to accessing home and community services for older adults with serious life-limiting illness. METHODS:We conducted interviewer-administered semi-structured interviews with emergency providers from health systems across the United States to obtain provider perspectives on facilitators and barriers to accessing home and community services. We completed qualitative thematic analysis using an iterative process to develop themes and subthemes to summarize provider responses. RESULTS:We interviewed 8 emergency nurses and 10 emergency physicians across 11 health systems. Emergency providers were familiar with local home and community services. Facilitators to accessing these services include care management and social workers. Barriers include services that are not accessible full-time to receive referrals, insurance/payment, and the busy nature of the emergency department. The most helpful reported services were hospice, physical therapy, occupational therapy, and visiting nursing services. Home-based palliative care and full-time emergency department-based care management and social work were the services most desired by providers. Providers expressed support for improving access to home and community services in the hopes of decreasing unnecessary emergency visits and inpatient admissions, and to provide patients with greater options for supportive care. CONCLUSION/CONCLUSIONS:Obtaining the perspective of emergency providers highlights important considerations to accessing HCS for older-adults with serious life-limiting illness from the emergency department. This study provides foundational information for futures studies and initiatives for improving access to home and community services directly from the emergency department.

BACKGROUND:High-throughput metagenomic sequencing technologies have shown prominent advantages over traditional pathogen detection methods, bringing great potential in clinical pathogen diagnosis and treatment of infectious diseases. Nevertheless, how to accurately detect the difference in microbiome profiles between treatment or disease conditions remains computationally challenging. RESULTS:In this study, we propose a novel test for identifying the difference between two high-dimensional microbiome abundance data matrices based on the centered log-ratio transformation of the microbiome compositions. The test p-value can be calculated directly with a closed-form solution from the derived asymptotic null distribution. We also investigate the asymptotic statistical power against sparse alternatives that are typically encountered in microbiome studies. The proposed test is maximum-type equal-covariance-assumption-free (MECAF), making it widely applicable to studies that compare microbiome compositions between conditions. Our simulation studies demonstrated that the proposed MECAF test achieves more desirable power than competing methods while having the type I error rate well controlled under various scenarios. The usefulness of the proposed test is further illustrated with two real microbiome data analyses. The source code of the proposed method is freely available at https://github.com/Jiyuan-NYU-Langone/MECAF. CONCLUSIONS:MECAF is a flexible differential abundance test and achieves statistical efficiency in analyzing high-throughput microbiome data. The proposed new method will allow us to efficiently discover shifts in microbiome abundances between disease and treatment conditions, broadening our understanding of the disease and ultimately improving clinical diagnosis and treatment.

Background/UNASSIGNED:To examine social engagement and mental health symptoms during the COVID-19 pandemic across Asian American (AA) ethnic groups. Methods/UNASSIGNED:Data from three waves of the nationally representative COVID-19 Household Impact Survey (4/20/2020-6/8/2020) were used to describe social engagement and mental health symptoms during the pandemic. Associations between mental health and social engagement were assessed via multinomial logistic regression. Results/UNASSIGNED:In this sample of 312 AAs (36.9% Chinese American, 30.9% South Asian American, 20.1% Filipino/Vietnamese American, and 12.0% Japanese/Korean American), daily communication with neighbors declined for Chinese, South Asian and Filipino/Vietnamese Americans but increased for Japanese/Korean Americans (P=.012) whereas communication with friends/family increased only for Filipino/Vietnamese, Japanese/Korean and South Asian Americans (P<0.001). Differences in self-reported symptoms of anxiety, depression, loneliness, and hopelessness were observed across AA ethnic groups. In adjusted models, lower social engagement was associated with frequent (3-4 days/week) depressive symptoms during the preceding week (cOR:3.26, 95%CI:1.01-10.5). This association was heightened for Asian men (cOR:14.22, 95%CI:3.62-55.8). Conclusions/UNASSIGNED:Heterogeneity of social engagement and mental health symptoms across AA ethnicities was observed. Understanding associations between social engagement and mental health within different communities is necessary to provide culturally and linguistically appropriate mental health treatment and care.

Background/UNASSIGNED:Mobile health (mHealth) tools offer an effective and personalized approach to enhance chronic disease management and may partially offset provider-level barriers to increasing buprenorphine prescribing in primary care. This study assessed the feasibility of integrating a text messaging-based medical management tool (TeMeS) in primary care among patients initiating buprenorphine. Methods/UNASSIGNED:TeMeS messages are categorized per the medical management model, programed in a HIPAA-compliant texting software (Apptoto©), and delivered in a tiered fashion over 8-weeks to patients. This mixed-methods evaluation of TeMeS utilized key stakeholder feedback (patients, physicians, administrators, nursing), text messaging software process measures, thematic analysis of patient participant text message content, and electronic administrative data (eg, appointment adherence, treatment retention) at 2-months. Results/UNASSIGNED:The study team approached 65 patients and n = 14 (21%) were ineligible or declined to participate in the study. Most eligible participants owned a smartphone (90%), responded to at least one text query (88%) over an average of 24 days, and few requested to stop receiving texts (6%). Participant text replies included responses to cognitive behavioral therapy-based queries (13.8%), confirming or rescheduling appointments (6.1%), and insurance, pharmacy, or clinical issues pertaining to buprenorphine dispensation or dosing (2%). Suggestions for design modifications included personalizing message content and adjusting message frequency per patient risk of illicit opioid reuse, use of video-based informational content, and real-time provider and staff support for emergent issues. Conclusion/UNASSIGNED:Our findings highlight the acceptability, feasibility, and high rates of engagement of utilizing text messaging to enhance self-management among patients initiating buprenorphine treatment.