Faculty Bibliography

We evaluated the effectiveness of a community research partnership focused on improving severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing for New York City residents during the pandemic. We employed interviews, a focus group, and a survey to evaluate partnership characteristics, engagement, and future collaboration. Qualitative analysis revealed five core themes: committee identity, collective goals, information sharing, adaptability, and trust. The findings highlight the importance of flexibility, shared goals, diverse representation, open communication, and trust in effective multisector community health partnerships. (Am J Public Health. 2026;116(4):431-436. https://doi.org/10.2105/AJPH.2025.308358).

OBJECTIVE:We discuss implications of potential ascertainment biases for studies examining diabetes risk following SARS-CoV-2 infection using electronic health records (EHRs). We quantitatively explore sensitivity of results to misclassification of COVID-19 status using data from the U.S.-based Diabetes in Children, Adolescents and Young Adults (DiCAYA) Network on children (≤17 years) and young adults (18-44 years). MATERIALS AND METHODS/METHODS:In our retrospective case study from the DiCAYA Network, SARS-CoV-2 was identified using labs and diagnoses from June 1, 2020 to December 31, 2021. Patients were followed through December 31, 2022 for new diabetes diagnoses. Sites examined incident diabetes by COVID-19 status using Cox proportional hazards models. Results were pooled in meta-analyses. A bias analysis examined potential impact of COVID-19 misclassification scenarios on results, guided by hypotheses that sensitivity would be <50% and would be higher among those who developed diabetes. RESULTS:Prevalence of documented COVID-19 was low overall and variable across sites (children: 4.4%-7.7%, young adults: 6.2%-22.7%). Individuals with documented COVID-19 were at higher risk of incident diabetes compared to those with no documented infection, but results were heterogeneous across sites. Findings were highly sensitive to COVID-19 misclassification assumptions. Observed results could be biased away from the null under several differential misclassification scenarios. DISCUSSION/CONCLUSIONS:Although EHR-based documentation of COVID-19 was associated with incident diabetes, COVID-19 phenotypes likely had low sensitivity, with considerable variation across sites. Misclassification assumptions strongly impacted interpretation of results. CONCLUSION/CONCLUSIONS:Given the potential for low phenotype sensitivity and misclassification, caution is warranted when interpreting analyses of COVID-19 and incident diabetes using clinical or administrative databases.

BACKGROUND:Co-occurring alcohol, substance, and mood-related (CASM) conditions are prevalent, mutually reinforcing, and under-diagnosed contributors to morbidity, mortality, and health disparities. OBJECTIVE:To evaluate screening strategies leveraging the predictive value arising from patterns of CASM co-occurrence in populations with high CASM prevalence. DESIGN/METHODS:Individual-based health risks model validated to predict US life expectancy and causes of death by sex and age decile, including CASM conditions of depression, anxiety, chronic pain, and unhealthy alcohol, tobacco, opioid and stimulant use. The model includes CASM co-occurrence patterns, mutual reinforcement across CASM conditions, and reduced engagement in other preventative care due to CASM. PARTICIPANTS/METHODS:Veterans Aging Cohort Study (VACS), a large longitudinal cohort of in-care US veterans. INTERVENTIONS/METHODS:(1) Screening alcohol, tobacco, and/or depression symptoms; (2) adding further screening of CASM conditions likely to co-occur with those screened positive, with variation in the minimum co-occurrence rate; (3) screening all CASM conditions (hypothetical maximum). MAIN MEASURES/METHODS:Estimated life expectancy (LE) and quality-adjusted life-years (QALYs). KEY RESULTS/RESULTS:The maximum strategy added 0.52 years to estimated LE (95% CI: 0.51 - 0.54) and 0.68 QALYs/person (95% CI: 0.67 - 0.69). Screening individual CASM conditions added a small fraction of this benefit, the largest LE gain from tobacco screening: 0.08 years (95% CI: 0.07 - 0.09). Screening for depression, alcohol, and tobacco provided 34.6% of the maximum strategy's LE gain (0.19 years, 95% CI: 0.17 - 0.20). Additionally screening conditions with moderate (≥ 20%) probability of co-occurring with those already screened positive provided 84.8% of the maximum strategy's LE gain. Screening all CASM conditions if depression, alcohol, and/or tobacco screened positive provided 86.6% of the maximum strategy's LE gain. CONCLUSIONS:Compared to common practice of screening one or few CASM conditions, large health benefits are possible by further assessing CASM conditions most likely to co-occur with those already screening positive, improving health without increasing up-front screening burden in populations with high CASM prevalence.

We characterize within-city life expectancy gaps and their correlation with social and environmental characteristics in 948 US cities. Life expectancy estimates were drawn from the US Life Expectancy Estimation Program. City life expectancy gaps were calculated by subtracting the lowest tract-level life expectancy estimate from the highest for each city. Correlations were established using Spearman's correlation coefficient. The average city-level life expectancy gap in our sample was 11.8 years. Life expectancy gaps were larger in cities with lower average life expectancy and were evident across the USA. Life expectancy gaps of a decade were seen even in smaller cities and in high life expectancy cities. Life expectancy gaps were most strongly correlated with racialized residential segregation, children in poverty, and household income. Significant between-neighborhood gaps in life expectancy exist across US cities. Life expectancy gaps present a compelling target for establishing robust health equity goals.

OBJECTIVE:This study examined the availability of and barriers to procuring halal foods in food pantries and soup kitchens in New York City (NYC), focusing on regions with high concentrations of Muslim immigrant communities. The study aimed to identify gaps in access to culturally appropriate food assistance to inform programmatic and policy responses. METHODS:We conducted a multimethod study consisting of (1) a cross-sectional telephone survey of food pantries and soup kitchens across NYC and (2) semistructured interviews with staff providing food assistance support at a local community-based organization. We used descriptive statistics and chi-square (Test of homogeneity) tests to compare pantry characteristics and analyzed interview transcripts using inductive thematic analysis. RESULTS:A total of 70 pantries completed the survey: 38% offered halal food, with no significant difference across regions with low or high density of Muslim communities, and less than a third had staff who spoke the primary languages of NYC's Muslim communities. Key barriers included high cost and the sourcing of halal food. Qualitative findings highlighted mistrust in the authenticity of halal labeling in pantries, the limited culturally relevance of pantry foods, and the inadequacy of the Supplemental Nutrition Assistance Program benefits to meet families' needs. CONCLUSIONS AND IMPLICATIONS/CONCLUSIONS:Halal and culturally relevant food options remain limited across NYC's emergency food landscape. Addressing food insecurity among immigrant families with low income required multilevel strategies, including culturally tailored procurement, partnerships with halal-certified vendors, and increased federal benefits, to promote equitable and sustained food access.

INTRODUCTION/BACKGROUND:Tobacco smoke exposure (TSE) among individuals who do not smoke has declined in the USA, however, gaps remain in understanding how TSE patterns across indoor venues-including in homes, cars, workplaces, hospitality venues, and other areas-contribute to TSE disparities by income level. METHODS:We obtained data on adults (ages 18+, N=9909) and adolescents (ages 12-17, N=2065) who do not smoke from the National Health and Nutrition Examination Survey, 2013-2018. We examined the prevalence of self-reported, venue-specific TSE in each sample, stratified by poverty income ratio (PIR) quartile. We used linear regression models with a log-transformed outcome variable to explore associations between self-reported TSE and serum cotinine. We further explored the probability of detectable cotinine among individuals who reported no recent TSE, stratified by PIR. RESULTS:Self-reported TSE was highest in cars (prevalence=6.2% among adults, 14.2% among adolescents). TSE in own homes was the most strongly associated with differences in log cotinine levels (β for adults=1.92, 95% CI=1.52 to 2.31; β for adolescents=2.37 95% CI=2.07 to 2.66), and the association between home exposure and cotinine among adults was most pronounced in the lowest PIR quartile. There was an income gradient with regard to the probability of detectable cotinine among both adults and adolescents who did not report recent TSE. CONCLUSIONS:Homes and vehicles remain priority venues for addressing persistent TSE among individuals who do not smoke in the USA. TSE survey measures may have differential validity across population subgroups.

Medical mistrust as a construct often places the onus of blame for adverse health outcomes on individuals rather than on social structures. In this study, we aimed to determine if medical mistreatment and access to transgender care were potential determinants of medical mistrust. We used longitudinal survey data from 193 transgender women of colour living in New York City. We measured medical mistrust using the Group-Based Medical Mistrust (GBMM) scale. Additionally, we analysed and coded open-ended survey data from participants regarding their trust towards medical institutions to identify potential determinants of medical mistrust. From the quantitative analysis, we found that individuals who experienced mistreatment in healthcare and those who reported poor access to transgender care had higher GBMM scores. Qualitative findings suggested that negative experiences within the healthcare system and historical trauma were key factors contributing to mistrust in medical institutions. Addressing medical mistrust should not occur at the individual level, but rather at the structural level. Potential interventions include improving access to gender affirming care and training health professionals.

INTRODUCTION/BACKGROUND:The coronavirus disease 2019 (COVID-19) pandemic caused unprecedented disruptions to healthcare systems worldwide, significantly affecting patients with chronic kidney disease (CKD). In this study, we evaluated the impact of the pandemic on healthcare-seeking behavior and CKD progression among patients in New York City. METHODS:Using electronic health records from PCORnet's INSIGHT Clinical Research Network, we conducted a retrospective cohort study focused on 84,062 patients with CKD aged 50 years or older with multiple chronic conditions seen between 2017 and 2022. Patients were identified using pre-pandemic CKD diagnostic codes, and confirmed by estimated glomerular filtration rate (eGFR) measurements. Care disruption was defined as receiving fewer visits than recommended by Kidney Disease: Improving Global Outcomes (KDIGO) guidelines. We used linear mixed-effects models to estimate annual eGFR changes and analyze trends in care visits stratified by CKD stage and care disruption. RESULTS:. Care visits declined sharply in 2020 across patients at all but the end stage, with incomplete recovery by 2022. Patients with adequate pre-pandemic care maintained their visits above KDIGO levels, while those with inadequate care increased visits during the pandemic. Pronounced eGFR decline occurred in 2020 (10.6%), with slower declines observed thereafter. CONCLUSION/CONCLUSIONS:The COVID-19 pandemic disrupted CKD care, potentially leading to reduced healthcare-seeking behavior and accelerated kidney function decline in 2020. Slower decline post-2020 may reflect improved healthcare utilization, better medication adherence, and new therapies, and other factors.

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.