Faculty Bibliography

OBJECTIVE:This study examined associations between access to leisure-time physical activity (LTPA) facilities and parks and repeated measures of glycated hemoglobin (A1C) over time, using follow-up tests among United States Veterans with newly diagnosed type-2 diabetes (T2D). METHODS:Data were analyzed from 274,463 patients in the Veterans Administration Diabetes Risk cohort who were newly diagnosed with T2D between 2008 and 2018 and followed through 2023. Generalized estimating equations with a logit link function and binomial logistic regression were used to examine associations. RESULTS:Patients were on average 60.5 years of age, predominantly male (95.0 %) and white (66.9 %), and had an average of 11.7 A1C tests during the study follow-up period. In high- and low-density urban communities, a one-unit higher LTPA facility density score was associated with 1 % and 3 % greater likelihood of in-range A1C tests during follow-up, respectively, but no association was observed among patients living in suburban/small town and rural communities. Across community types, closer park distance was not associated with subsequent greater odds of in-range A1C tests. Unexpectedly, in low-density urban areas, the likelihood of in-range A1C tests was 1 % lower at farther park distances. CONCLUSIONS:These results suggest that broader access to LTPA facilities, but not park proximity, may contribute in small ways to maintaining glycemic control after T2D diagnosis in urban communities. Tailored interventions may be needed to promote patients' effective use of LTPA facilities and parks.

Minimal progress has been made in narrowing disparities between patients with and without limited English proficiency (LEP). Using 2016 data from RN4CAST-US, New Jersey Discharge Data Collection System, and AHA Annual Hospital Survey, multivariable logistic regression models were employed to examine whether and to what extent the hospital nurse work environment, defined as the conditions that nurses work in, is associated with decreased disparities in 7-day hospital readmissions between patients with and without LEP. Existing literature has established associations between nurse work environments and outcomes disparities of various minoritized populations; however, no literature has examined this relationship in the context of hospitalized patients with LEP. In a sample of 424,745 hospitalized adults (n = 38,906 with LEP), patients with LEP, compared to those without LEP, were younger (63.4 vs 64 years old, p < 0.001), more likely to be insured by Medicaid (8.9% vs 5.5%) or uninsured (7.5% vs 2%, p < 0.001), and readmitted (4.5% vs 3.9%, p < 0.001). Adjusting for patient and hospital characteristics, LEP patients had 33% higher odds of a 7-day readmission, as compared to patients without LEP (OR 1.33, 95% CI [1.19-1.47]). A significant interaction was found between patients' LEP status and the nurse work environment (OR 0.83, 95% CI [0.70-0.99]), such that patients with LEP experienced lower odds of 7-day readmission in more favorable nurse work environments, compared to patients without LEP. Hospitals dedicated to providing equitable healthcare may consider enhancing nurses' working conditions as a potential way to reduce disparities in readmission rates.

BACKGROUND:Clinical reasoning (CR) is an essential skill; yet, physicians often receive limited feedback. Artificial intelligence holds promise to fill this gap. OBJECTIVE:We report the development of named entity recognition (NER), logic-based and large language model (LLM)-based assessments of CR documentation in the electronic health record across 2 institutions (New York University Grossman School of Medicine [NYU] and University of Cincinnati College of Medicine [UC]). METHODS:-scores for the NER, logic-based model and area under the receiver operating characteristic curve (AUROC) and area under the precision-recall curve (AUPRC) for the LLMs. RESULTS:-scores 0.80, 0.74, and 0.80 for D0, D1, D2, respectively. The GatorTron LLM performed best for EA2 scores AUROC/AUPRC 0.75/ 0.69. CONCLUSIONS:This is the first multi-institutional study to apply LLMs for assessing CR documentation in the electronic health record. Such tools can enhance feedback on CR. Lessons learned by implementing these models at distinct institutions support the generalizability of this approach.

Minoritized communities often experience worse health outcomes on the cancer continuum. Mainstream strategies may have limited reach and utility to populations experiencing inequities in real-world settings. Through the combined use of community-based participatory research (CBPR) and social marketing strategies, which highlight community-centered and culturally adapted processes, we provide an approach to inform future intervention research across various health topics that has been successful in engaging minoritized and understudied communities. We present two case studies that used participatory social marketing principles to culturally adapt evidence-based cancer screening programs for two communities in New York City. The first program is a campaign to increase screening and vaccination for hepatitis B among Korean and Chinese American immigrants. The second is a culturally adapted program to increase breast and cervical cancer screening among a multiracial and ethnic population of Muslim women. These case studies illustrate the benefits of integrating social marketing and CBPR approaches as a key strategy when developing public health campaigns to effectively reach and influence health behaviors in partnership with communities that have been socially marginalized and historically underserved.

BACKGROUND:Hepatic artery infusion with floxuridine is a treatment option for patients with colorectal liver metastases or intrahepatic cholangiocarcinoma. Outcomes from newer centers are understudied. Predictive markers are needed, and quantitative circulating tumor DNA is an emerging candidate method for predicting response in patients receiving hepatic artery infusion. We aimed to describe safety, feasibility, early oncologic outcomes, and quantitative circulating tumor DNA dynamics in patients treated with hepatic artery infusion at a newly established program. METHODS:Single-institution analysis of patients who underwent hepatic artery infusion pump placement (April 2022-April 2024) was conducted. Primary outcomes included safety and feasibility (receiving ≥1 cycle of floxuridine). Secondary outcomes included radiographic response (Response Evaluation Criteria in Solid Tumors 1.1), relative dose intensity of floxuridine received, and quantitative circulating tumor DNA response. RESULTS:A total of 36 patients underwent hepatic artery infusion pump placement (colorectal liver metastases: 32; cholangiocarcinoma: 4). Technical success was 100%. Feasibility was 97%. One patient experienced mortality at 90 days from disease progression. Three patients (8%) experienced a total of 5 hepatic artery infusion pump-specific complications (pump pocket [n = 3], hemorrhage [n = 1], biliary sclerosis [n = 1]). Median relative dose intensity was 68.5% (colorectal liver metastases: 68.3%; cholangiocarcinoma 72.5.0%). For the 27 patients who underwent floxuridine therapy with available postoperative imaging, disease control rate was 97% (partial response: n = 15; stable disease: n = 11). Quantitative circulating tumor DNA was obtained from 16 patients (44%). Circulating tumor DNA dynamics appeared to correlate with and precede radiographic response. CONCLUSIONS:Implementation of a new hepatic artery infusion program is safe and feasible with promising early oncologic outcomes. Circulating tumor DNA tracking is achievable and dynamic changes in circulating tumor DNA may correlate with radiographic response to treatment.

BACKGROUND/UNASSIGNED:COVID-19 has caused over 46,000 deaths in New York City, with a disproportional impact on certain communities. As part of the COVID-19 response, the city has directly administered over 6 million COVID-19 tests (in addition to millions of indirectly administered tests not covered in this analysis) at no cost to individuals, resulting in nearly half a million positive results. Given that the prevalence of testing, throughout the pandemic, has tended to be higher in more affluent areas, these tests were targeted to areas with fewer resources. OBJECTIVE/UNASSIGNED:This study aimed to evaluate the impact of New York City's COVID-19 testing program; specifically, we aimed to review its ability to provide equitable testing in economically, geographically, and demographically diverse populations. Of note, in addition to the brick-and-mortar testing sites evaluated herein, this program conducted 2.1 million tests through mobile units to further address testing inequity. METHODS/UNASSIGNED:Testing data were collected from the in-house Microsoft SQL Server Management Studio 18 Clarity database, representing 6,347,533 total tests and 449,721 positive test results. These tests were conducted at 48 hospital system locations. Per capita testing rates by zip code tabulation area (ZCTA) and COVID-19 positivity rates by ZCTA were used as dependent variables in separate regressions. Median income, median age, the percentage of English-speaking individuals, and the percentage of people of color were used as independent demographic variables to analyze testing patterns across several intersecting identities. Negative binomial regressions were run in a Jupyter Notebook using Python. RESULTS/UNASSIGNED:Per capita testing inversely correlated with median income geographically. The overall pseudo r2 value was 0.1101 when comparing hospital system tests by ZCTA against the selected variables. The number of tests significantly increased as median income fell (SE 1.00000155; P<.001). No other variables correlated at a significant level with the number of tests (all P values were >.05). When considering positive test results by ZCTA, the number of positive test results also significantly increased as median income fell (SE 1.57e-6; P<.001) and as the percentage of female residents fell (SE 0.957; P=.001). The number of positive test results by ZCTA rose at a significant level alongside the percentage of English-only speakers (SE 0.271; P=.03). CONCLUSIONS/UNASSIGNED:New York City's COVID-19 testing program was able to improve equity through the provision of no-cost testing, which focused on areas of the city that were disproportionately impacted by COVID-19 and had fewer resources. By detecting higher numbers of positive test results in resource-poor neighborhoods, New York City was able to deploy additional resources, such as those for contact tracing and isolation and quarantine support (eg, free food delivery and free hotel stays), early during the COVID-19 pandemic. Equitable deployment of testing is feasible and should be considered early in future epidemics or pandemics.

BACKGROUND:Clinical use of continuous glucose monitoring (CGM) is increasing storage of CGM-related documents in electronic health records (EHR); however, the standardization of CGM storage is lacking. We aimed to evaluate the sensitivity and specificity of CGM Ambulatory Glucose Profile (AGP) classification criteria. METHODS:We randomly chose 2244 (18.1%) documents from NYU Langone Health. Our document classification algorithm: (1) separated multiple-page documents into a single-page image; (2) rotated all pages into an upright orientation; (3) determined types of devices using optical character recognition; and (4) tested for the presence of particular keywords in the text. Two experts in using CGM for research and clinical practice conducted an independent manual review of 62 (2.8%) reports. We calculated sensitivity (correct classification of CGM AGP report) and specificity (correct classification of non-CGM report) by comparing the classification algorithm against manual review. RESULTS:Among 2244 documents, 1040 (46.5%) were classified as CGM AGP reports (43.3% FreeStyle Libre and 56.7% Dexcom), 1170 (52.1%) non-CGM reports (eg, progress notes, CGM request forms, or physician letters), and 34 (1.5%) uncertain documents. The agreement for the evaluation of the documents between the two experts was 100% for sensitivity and 98.4% for specificity. When comparing the classification result between the algorithm and manual review, the sensitivity and specificity were 95.0% and 91.7%. CONCLUSION/CONCLUSIONS:Nearly half of CGM-related documents were AGP reports, which are useful for clinical practice and diabetes research; however, the remaining half are other clinical documents. Future work needs to standardize the storage of CGM-related documents in the EHR.

IMPORTANCE/UNASSIGNED:Expectancy effects are significant confounding factors in psychiatric randomized clinical trials (RCTs), potentially affecting the interpretation of study results. This narrative review is the first, to our knowledge, to explore the relationship between expectancy effects, compromised blinding integrity, and the effects of active treatment/placebo in psychiatric RCTs. Additionally, we present statistical and experimental approaches that may help mitigate the confounding impact of expectancy effects. The review concludes with recommendations to enhance the reliability of RCTs in psychiatry. OBSERVATIONS/UNASSIGNED:The placebo response comprises both specific and nonspecific elements, with expectation being a key specific component. Evidence from experimental and clinical studies suggests that expectancy can influence treatment responses in RCTs. Blinding integrity may be compromised by perceived treatment efficacy and adverse effects, introducing bias into outcome assessments. Treatment expectations can lead to unblinding during RCTs, and meta-analytic data from studies in the fields of psychedelics and anxiety disorders indicate that this can influence effect sizes. Therefore, controlling for expectancy effects is essential when interpreting RCT results. Novel statistical methods, though still in need of further validation, offer strategies to address this issue. Another approach may involve experimental medicine models, which aim to develop objective improvement markers (readouts) less affected by expectancy effects. CONCLUSIONS AND RELEVANCE/UNASSIGNED:Expectancy effects represent a significant confound in psychiatric RCTs. We recommend collecting data on treatment expectations alongside monitoring blinding integrity to more accurately interpret study results. Additionally, developing objective readouts that are less confounded by expectancy effects offers another promising avenue for mitigating these confounding influences in psychiatric RCTs.