Faculty Bibliography

The degree to which alcohol use is associated with the risk of all-cause mortality and hepatic decompensation after hepatitis C (HCV) diagnosis, treatment, and cure remains unknown. We sought to address this question among patients achieving sustained virologic response (SVR) after direct-acting antiviral treatment in the largest HCV health system in the United States. We extracted data on alcohol use, HCV treatment, SVR, HIV co-infection, demographics, risk behaviours, hepatic decompensation, and mortality from all patients in the 1945 to 1965 VA Birth Cohort. Alcohol use categories were generated using responses to the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaire and diagnostic codes for alcohol use disorder (AUD): abstinent without a history of AUD, abstinent with a history of AUD, current lower-risk consumption, current moderate-risk consumption, and current high-risk consumption with or without AUD. Cox proportional hazard models were used to examine associations between alcohol category and the risk of hepatic decompensation and all-cause mortality. Among 50,581 patients in the analytic cohort, compared to current drinkers exhibiting lower risk alcohol consumption (referent), current high-risk consumption with or without AUD was associated with increased risk of all-cause mortality (aHR: 1.40, 95% CI: 1.21-1.63) and hepatic decompensation (HR: 2.15, 95% CI: 1.60-2.89) as was abstinence with a history of AUD diagnosis (mortality aHR: 1.63, 95% CI: 1.41-1.89; hepatic decompensation aHR: 1.85, 95% CI: 1.36-2.51). AUD and high-risk alcohol consumption are associated with the risk of hepatic decompensation and all-cause mortality among Veterans who have achieved SVR, including those categorised as being currently abstinent. Interventions for alcohol consumption and use disorder among individuals treated for HCV infection may reduce morbidity and mortality in this population.

BACKGROUND:The COVID-19 pandemic had a significant impact on healthcare delivery. Older adults with multimorbidities were at risk of healthcare disruptions for the management of their chronic conditions. OBJECTIVE:To characterize healthcare disruptions during the COVID-19 healthcare shutdown and recovery period (March 7, 2020-October 6, 2020) and their effects on disease management among older adults with multimorbidities who were patients of NYC Health + Hospitals (H + H), the largest municipal safety-net system in the United States. DESIGN/METHODS:Observational. PATIENTS/METHODS:Patients aged 50 + with hypertension or diabetes and at least one other comorbidity, at least one H + H ambulatory visit in the six months before COVID-19 pandemic onset (March 6, 2020), and at least one visit in the post-acute shutdown period (October 7, 2020 to December 31, 2023). MAIN MEASURES/METHODS:We characterized disruption in care (defined as no ambulatory or telehealth visits during the acute shutdown) and estimated the effect of disruption on blood pressure control, hemoglobin A1c (HbA1c), and low-density lipoprotein (LDL) cholesterol using difference-in-differences models. KEY RESULTS/RESULTS:Out of 73,889 individuals in the study population, 12.5% (n = 9,202) received no ambulatory or telehealth care at H + H during the acute shutdown. Low pre-pandemic healthcare utilization, Medicaid insurance, and self-pay were independent predictors of care disruption. In adjusted analyses, the disruption group had a 3.0-percentage point (95% CI: 1.2-4.8) greater decrease in blood pressure control compared to those who received care. Disruption did not have a significant impact on mean HbA1c or LDL. CONCLUSIONS:Care disruption was associated with declines in blood pressure control, which while clinically modest, could impact risk of cardiovascular outcomes if sustained. Disruption did not affect HbA1c or LDL. Telehealth mitigated impacts of the pandemic on care disruption and subsequent disease management. Targeted outreach to those at risk of care disruption is needed during future crises.

Transgender women of color (TWOC) are disproportionately impacted by psychological distress. Though gender-affirming care (GAC) has been recommended to alleviate this distress, research examining associations between perceived access to GAC, specific gender-affirming medical interventions (GAMIs), and mental health among TWOC in the United States remains limited. In this study, we examine cross-sectional and longitudinal associations between perceived access to GAC, completion of specific GAMIs, and psychological distress among TWOC, using modified Poisson regression and multilevel linear modeling. Data came from the Trying to Understand Relationships, Networks and Neighborhoods Among Transgender Women of Color (TURNNT) Cohort Study. In multivariable analyses, increased access to GAC was associated with reduced psychological distress risk. All assessed GAMIs suggested protective effects against psychological distress (aRR < 1), with statistical significance found for breast augmentation and facial feminization surgery. On average, those with unmet GAMI needs experienced higher distress risk than those without. Longitudinally, those experiencing reduced access to GAC over 6 months faced the highest distress risk among all trajectory groups (aRR: 1.40, 95% CI, 1.08-1.82). Our findings support the need for further inquiry in this area and suggest that policies protecting and increasing access to GAC may improve mental health among TWOC. This article is part of a Special Collection on Methods in Social Epidemiology.

BACKGROUND:Community-clinical linkage models (CCLM) display significant potential to address the unique, multi-level type 2 diabetes risk factors facing minoritized communities, such as South Asian Americans. However, there lacks a systematic, longitudinal evaluation of how such tailored CCLMs can be better implemented in dynamic, real-world settings. This study aims to leverage multi-partner insights, collected in real time, to explore the barriers and facilitators to implement a South Asian American diabetes management and prevention intervention (the DREAM intervention). METHODS:The DREAM intervention, a two-arm randomized controlled trial, was implemented from 2019-2022; partners involved in its implementation were interviewed annually to understand their experiences of the program. Implementation partners included community health workers (CHWs), participating healthcare providers, community advisory board (CAB) partners, and research staff. The interview guide and subsequent deductive qualitative analysis was informed by the Consolidated Framework for Implementation Research (CFIR). RESULTS:Overall, 78 interviews were conducted across four waves (2019-2022) with 5 research staff, 8 CHWs, 18 providers/clinic staff, and 12 CAB partners. CHWs adapted intervention characteristics by tailoring curriculum and implementation to patient needs, including personalized goal setting and shifting to remote delivery with COVID-19-related content. At the individual level, participants' occupations, family dynamics, and technological capacity shaped engagement, while changing social, financial, and health contexts over time required CHWs to continually adjust support. Within the inner setting, partner roles and resource availability fluctuated, yet structured and consistent meetings facilitated communication and problem-solving. Outer setting influences, including shifting government and universities policies and the COVID-19 pandemic, required repeated adaptations, while CAB partnerships expanded community connections and services over time. Process-related findings underscored the evolving role of CHWs and research staff in planning and fidelity, with training shifting toward peer mentorship to build capacity. CONCLUSION/CONCLUSIONS:Findings revealed the pivotal role of programmatic adaptability and robust partner engagement in navigating dynamic contexts to support the diabetes needs of minoritized communities. The real-time, longitudinal approach taken for data collection and analysis was crucial in understanding how intervention changes were implemented and experienced, providing a model for similar implementation assessments.

BACKGROUND:levels. However, it remains unclear whether the CARE program also improves diabetes self-efficacy and psychosocial outcomes in the same study sample. OBJECTIVE:This is a secondary analysis to examine the potential efficacy of the CARE program on secondary outcomes, including diabetes self-efficacy, self-care activities, beliefs in diabetes self-care activities, and diabetes distress among Chinese Americans with T2D. METHODS:level of 7% or higher. Participants were recruited from various health care settings in New York City, including community health centers, private primary care providers, and NYU Langone Health and its affiliates, and were randomly assigned to either the CARE intervention group (n=30) or a waitlist control group (n=30). The intervention consisted of 2 culturally and linguistically tailored educational videos per week for 12 weeks, covering diabetes self-care topics such as healthy eating, physical activity, and medication adherence. These videos were delivered via the WeChat app. In addition, community health workers provided support calls to assist them in setting goals, problem-solving, and addressing social determinants of health barriers every 2 weeks. Secondary outcomes included patient self-reported diabetes self-efficacy, self-care activities, beliefs in diabetes self-care activities, and diabetes distress. Outcomes were assessed at baseline, 3 months, and 6 months. RESULTS:Participants had a mean age of 54.3 (SD 11.5) years and 62% (37/60) were male, 78% (47/60) were married, 58% (35/60) were employed, 70% (42/60) had a high school education or lower, and 88% (53/60) reported limited English proficiency. Intervention participants demonstrated statistically significant improvements in self-efficacy at 3 months (estimated difference in change: 8.47; 95% CI 2.44-14.5; adjusted P=.02), diabetes distress at 6 months (estimated difference in change: -0.43; 95% CI -0.71 to -0.15; adjusted P=.009), and adherence to a healthy diet at both 3 months (estimated difference in change: 1.61; 95% CI 0.46-2.75; adjusted P=.02) and 6 months (estimated difference in change: 1.64; 95% CI 0.48-2.81; adjusted P=.02). CONCLUSIONS:The culturally and linguistically tailored intervention showed promise in improving self-efficacy and diabetes self-care activities among Chinese Americans with T2D, warranting validation through a large-scale randomized controlled trial. TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov NCT03557697; https://clinicaltrials.gov/study/NCT03557697.

BACKGROUND:Prior studies have found racial and ethnic disparities in cancer screenings, yet smaller minority ethnic groups are often aggregated. METHODS:Data from the 2021-2022 Community Health Resources and Needs Assessment (Cancer CHRNA) and the 2017-2020 NYC Community Health Survey (CHS) examined the prevalence of breast, cervical, and colorectal cancer screenings among Eastern European, Afro-Caribbean, Latine, Chinese, Korean, South Asian, and Southwest Asian and North African (SWANA) groups in New York City. Multivariable logistic regression models estimated adjusted relative risks of cancer screening outcomes by group. RESULTS:Up-to-date mammogram screening was low (< 70%) among all groups except Afro-Caribbean in the Cancer CHRNA; and among South Asian, Chinese, and Eastern European groups in the CHS. In logistic regression, South Asian and SWANA groups were less likely to have received an up-to-date mammogram compared to the Afro-Caribbean group in the Cancer CHRNA; no group differences were found in the CHS. Up-to-date Pap screening was low (< 70%) among all groups except Latina in the Cancer CHRNA; and among South Asian and Chinese groups in the CHS. In logistic regression, all other groups were less likely to have received an up-to-date Pap test compared to the Latina group in the Cancer CHRNA; and Chinese and South Asian groups were less likely to have received an up-to-date Pap test compared to the Latina group in the CHS. Up-to-date colonoscopy screening was low (< 70%) among all groups in the Cancer CHRNA; and among SWANA, South Asian, Chinese, and Eastern European groups in the CHS. In logistic regression, all groups except Chinese were less likely to have received an up-to-date colonoscopy compared to the Eastern European group in the Cancer CHRNA; and the Chinese and SWANA groups were less likely to have received an up-to-date colonoscopy compared to the Afro-Caribbean group in the CHS. CONCLUSIONS:Disparities in cancer screenings differed by screening type and survey, with larger disparities found among groups in the Cancer CHRNA. System level efforts are needed to monitor cancer screening disparities by disaggregating diverse groups; culturally tailored strategies should be used to raise awareness to increase screening. CLINICAL TRIAL INFORMATION/BACKGROUND:Not applicable.

INTRODUCTION/BACKGROUND:Identifying strategies to mitigate the effects of secondhand smoke exposure is crucial for public health. Thus, we estimated the effect of a 2018 federal smoke-free housing (SFH) policy on adverse birth outcomes among New York City (NYC) public-housing residents. METHODS:We obtained data on all live births to NYC residents in NYC from 2013 to 2022, using the borough-block-lot of the birthing person's address to identify births to public-housing residents. We then estimated the effect of the SFH policy on risk of preterm birth or low birth weight among births to NYC public-housing residents using a linear-probability difference-in-differences estimator, weighted by inverse probability weights to increase the plausibility of the parallel-trends assumption. RESULTS:Our sample included 44 455 births to public-housing residents and 803 648 births to non-public-housing residents. Difference-in-difference analyses suggested the SFH policy did not affect risk of preterm birth (risk difference (RD) per 100: 0.1; 95% CI -0.6 to 0.9) or low birth weight (RD per 100: 0.3, 95% CI -0.4 to 1.0). Event-study analyses supported these findings and lent credibility to the parallel-trends assumption. CONCLUSIONS:We estimated no initial effects of a federal SFH policy on risk of preterm birth or low birth weight among births to NYC public-housing residents.

INTRODUCTION/BACKGROUND:Effective July 2018, the U.S. Department of Housing and Urban Development issued a rule requiring all public housing authorities to implement smoke-free housing (SFH) policies in their developments. We examined the differential impacts of SFH policy on hospitalizations for myocardial infarction (MI) and stroke among adults aged ≥50 years old living in New York City (NYC) Housing Authority (NYCHA) versus a matched-comparison population in NYC. AIMS AND METHODS/OBJECTIVE:We identified census block groups (CBGs) comprised solely of 100% NYCHA units (N = 160) and compared NYCHA CBGs to a selected subset of CBGs from all CBGs with no NYCHA units (N = 5646). We employed propensity score matching on distributions of key CBG-level sociodemographic and housing covariates. We constructed incident rates per 1000 persons by aggregating 3-month "quarterly" counts of New York State all-payer hospitalization data from October 2015 to December 2022 and dividing by the population aged ≥50 in selected CBGs, ascertained from 2016 American Community Survey 5-year estimates. We selected a difference-in-differences (DID) analytic approach to examine pre- and post-policy differences in incident hospitalizations between the intervention and matched-comparison groups. RESULTS:Matching results indicated a balanced match for all covariates, with standardized mean differences <0.10. In DID analyses, we observed small declines in both MI (DID = -0.26, p = .02) and stroke (DID = -0.28, p = .06) hospitalization rates for NYCHA CBGs compared to non-NYCHA CBGs from pre-to post-54 months' policy. CONCLUSIONS:SFH policies in NYC were associated with small reductions in CVD-related hospitalizations among older adults living in housing subject to the policy. IMPLICATIONS/CONCLUSIONS:Housing remains a key focal setting for interventions to reduce SHS exposure and associated morbidities. Ongoing monitoring is warranted to understand the long-term impacts of SFH policies in public housing developments.