Faculty Bibliography

INTRODUCTION/BACKGROUND:The United States is facing an opioid use disorder (OUD) epidemic, marked by unprecedented overdose death rates. In New York State, synthetic opioids significantly contribute to the increasing overdose deaths, disproportionately impacting Black and Latinx communities. There is an urgent need to address issues related to equitable access to and the quality of care provided by substance use disorder (SUD) treatment programs. In light of this, the Quality Measurement and Management Research Center (QM2-RC) brought together an academic-government partnership to develop a person-centered quality measurement system and to assess its impact on a statewide treatment system that serves approximately 180,000 individuals per year. METHODS AND ANALYSIS/METHODS:The QM2-RC encompasses three interconnected projects (Project 1, 2, and 3) aimed at developing a quality management strategy and evaluating its impact on system performance across New York State. This report specifically focuses on Project 3, which involves a stepped-wedge trial with 35 clinics receiving a quality management intervention that includes performance coaching. This intervention will be compared to a treatment-as-usual (TAU) condition for clinics not participating in the trial. Administrative data will be utilized to monitor outcomes over four years. The coaching intervention, guided by the Integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) model, emphasizes interpreting quality measures and applying insights to enhance care. Coaches will provide support on data utilization, patient-centered care, harm reduction strategies, and the use of patient monitoring tools. The trial aims to evaluate clinic staff and leadership attitudes, experiences, and behaviors through surveys, semi-structured interviews, and external facilitator notes. Primary clinic outcomes will be assessed through adverse events, decreased clinic rates of substance use related emergency department visits and hospitalizations as well as mortality among patients within the first 12 months after admission to treatment after adjusting for individual and community level characteristics. This study is being developed over a multi-year period and will be informed by a mixed-methods approach incorporating multiple data sources, qualitative interviews, patient and clinic surveys. The study is being conducted in partnership with New York State Office of Addiction Services and Supports (OASAS) and will be informed by input from patient, providers, health insurers, family members and local governing units. DISCUSSION/CONCLUSIONS:Project 3 of the QM2 study specifically targets key barriers in measuring the quality of SUD treatment, including technological limitations, unvalidated measures, workforce data literacy, and concerns about fairness in assessing clinical complexity. Through the implementation of a stepped-wedge trial involving 35 clinics, the project aims to develop new quality measures, offer performance feedback, and engage clinic leadership and staff in efforts to improve practices. The ultimate goal of Project 3 is to overcome these barriers, promote person-centered care, and improve SUD treatment practices across New York State.

Access to an academic clinical research center (CRC) in health professional shortage areas (HPSA) can help address healthcare disparities and increase research accessibility and enrollment. Here we describe the development of a community-centered CRC in the underserved area of Sunset Park, Brooklyn, New York, centered within a larger academic health network and the evaluation of its outcomes within the first two years. In addition to resources and space, establishment of the CRC required a culturally competent and multilingual team of healthcare professionals and researchers and buy-in from the community. Between 1/2022 and 12/2023, the CRC opened 21 new trials (10 interventional and 11 noninterventional) with greater than 500 participant visits that reflect the racial and ethnic diversity of the community. These participants represent 110 distinct zip codes; 76% of these zip codes are underserved and designated HPSA. 60% self-identified as non-White and 20% identified as Hispanic, with 12 other distinct ethnicities represented. 28% of participants speak 11 languages other than English. Community-based CRCs can be created with sustainable growth to align with the mission of the National Institutes of Health and U.S. Food and Drug Administration to meet the ever-growing clinical, social, and research needs of the communities they serve.

BACKGROUND:Despite the proven efficacy of evidence-based healthcare interventions in reducing adverse outcomes and mortality associated with Sickle Cell Disease (SCD), a vast majority of affected individuals in Africa remain deprived of such care. Hydroxyurea (HU) utilization among SCD patients in Sub-Saharan Africa (SSA) stands at less than 1%, while in Nigeria, approximately 13% of patients benefit from HU therapy. To enhance HU utilization, targeted implementation strategies addressing provider-level barriers are imperative. Existing evidence underscores the significance of addressing barriers such as inadequate healthcare worker training to improve HU adoption. The ACCELERATE study aims to evaluate the adoption of HU among providers through the Screen, Initiate, and Maintain (SIM) intervention, facilitated by healthcare worker training, clinical reminders, and task-sharing strategies, thereby enhancing patient-level SCD management in Nigeria. METHODS:This study will implement the SIM intervention, encompassing patient screening, initiation of HU treatment, and maintenance of dosage, which will be implemented via the TAsk-Strengthening Strategy for Hemoglobinopathies (TASSH TCP), derived from our team's TAsk-Strengthening Strategy for Hypertension control (TASSH) trials. Employing a sequential exploratory mixed-methods approach within the Exploration, Preparation, Implementation, and Sustainment (EPIS) framework, this study will assess SIM adoption by providers in Nigeria. The primary outcome is the rate of SIM adoption at clinical sites at 12 months, with secondary outcomes including sustainability/maintenance of SIM intervention and implementation fidelity. DISCUSSION/CONCLUSIONS:This study's findings will offer crucial insights into effective SCD management strategies, leveraging existing SCD clinical networks and resources in Nigeria to enhance HU adoption among providers in a scalable and sustainable manner. Additionally, the study will inform best practices for implementing HU therapy in resource-constrained settings, benefiting healthcare providers, policymakers, and stakeholders invested in improving SCD care delivery. TRIAL REGISTRATION/BACKGROUND:NCT06318143.

BACKGROUND:Venous thromboembolism (VTE) is a significant preventable cause of postoperative morbidity and mortality after major abdominopelvic surgery that calls for extended VTE prophylaxis (eVTEp). Literature suggests that significant racial disparities may exist in post-operative care. OBJECTIVE:The study sought to examine if racial disparities exist in the administration of eVTEp after hysterectomy in a statewide collaborative. METHODS:We conducted a retrospective cohort study of post-hysterectomy patients across 69 hospitals in the Michigan Surgical Quality Collaborative from January 2016 to February 2020. The variable of interest was race (Black/African or White American). The primary outcome was administration or absence of eVTEp. Descriptive statistics and mixed effects logistic regression were performed for risk adjustment with covariates such as age, cancer occurrence, inflammatory bowel disease, American Society of Anesthesiologists physical status classification, perioperative VTE prophylaxis, postoperative VTE prophylaxis, surgical approach, and surgical duration, among other variables. RESULTS:In total, 24,513 patients underwent hysterectomy. Of these patients, 1,107 (4.45%) received eVTEp, 153 (13.24%) of which were Black and 954 (82.53%) of which were White. Mixed effects logistic regression analysis suggested that Black patients were significantly less likely to receive eVTEp than White patients (odds ratio = 0.776; 95% CI: 0.615-0.979; P = 0.039). Additionally, tobacco use, coronary artery disease, bleeding disorder, cancer occurrence, functional status, perioperative VTE prophylaxis, surgical duration, length of stay, and surgical approach were associated with a higher likelihood of receiving eVTEp. CONCLUSION/CONCLUSIONS:eVTEp is recommended for the prevention of post-discharge VTE in select patients after hysterectomy. Regression analysis showed that, compared to their White counterparts, Black females were significantly less likely to receive eVTEp. The underlying reasons for this disparity require further investigation into possible socioeconomic influences and inherent biases.

Multi-site and multi-organizational teams are increasingly common in epidemiologic research; however, there is a lack of standards or best practices for achieving success in collaborative research networks in epidemiology. We summarize our experiences and lessons learned from the Diabetes Location, Environmental Attributes, and Disparities (LEAD) Network, a collaborative agreement between the Centers for Disease Control and Prevention and research teams at Drexel University, New York University, Johns Hopkins University and Geisinger, and the University of Alabama at Birmingham. We present a roadmap for success in collaborative epidemiologic research, with recommendations focused on the following areas to maximize efficiency and success in collaborative research agreements: 1) operational and administrative considerations; 2) data access and sharing of sensitive data; 3) aligning network research aims; 4) harmonization of methods and measures; and 5) dissemination of findings. Future collaborations can be informed by our experiences and ultimately dedicate more resources to achieving scientific aims and efficiently disseminating scientific work products.

BACKGROUND/UNASSIGNED:The VHA is the largest healthcare system in the US and an early adopter of telehealth. Barriers to adoption may exist among subpopulations of VHA patients. OBJECTIVE/UNASSIGNED:To identify patterns in use of telehealth by modality, race, rurality, age and priority group before and during the COVID-19 pandemic. DESIGN/UNASSIGNED:We used data from the VHA Pyramid Analytics database to determine quarterly telehealth utilization rates from October 2015 to March 2023 using a pre-post analysis. Main measures were stratified by race, rurality, age group, and VA priority groups. PARTICIPANTS/UNASSIGNED:Unique patients who used any VHA care within each Fiscal Year of the study period. INTERVENTIONS/UNASSIGNED:N/A. MAIN MEASURES/UNASSIGNED:Quarterly encounters by modality and number of users with one or more Provider to Home (PTH) encounters per 1000 unique patients. KEY RESULTS/UNASSIGNED:There were 36,315,299 telehealth encounters completed by 4,597,055 users during the analytic period. From October 2015-March 2020, PTH video encounters grew from 3.2% of VHA telehealth encounters to 38%. From April 2020-March 2023, PTH video encounters accounted for 90.7% of VHA telehealth encounters. Uptake of PTH during the pandemic differed significantly between demographic groups. Quarterly users per 1000 unique patients (increase relative to reference group; p-values < 0.01) increased significantly more for urban-residing patients (44.9 relative to rural); Black, Asian, or Multi-Racial patients (Black: 52.1; Asian: 48.2; multi-racial: 57.5 relative to White), younger Veterans (age < 45: 113.0; age 45-64: 80.3 relative to age ≥ 65); and Veterans with major disabilities (127.3 relative to Veterans without special considerations). CONCLUSIONS/UNASSIGNED:With the expansion of PTH telehealth during the pandemic, there was a shift in sociodemographic patterns among patients receiving at-home video-based care. Moving forward, VA may choose to test implementation strategies that target different demographic groups to support equitable access to PTH care. SUPPLEMENTARY INFORMATION/UNASSIGNED:The online version contains supplementary material available at 10.1007/s44250-025-00256-0.

Despite progress to define primary care practice transformation models, there remain gaps in translating evidence-based guidelines into routine clinical care. Primary care providers (MD, DO, NP, PA) and researchers need tools to assess modifiable factors that improve practice performance to inform practice transformation efforts. We aimed to develop a pragmatic tool for assessing practice-level primary care structures and processes that are associated with better care quality and clinical outcomes. We generated 314 candidate items for the Tool for Advancing Practice Performance (TAPP) using data from a comprehensive literature review, Delphi study, and qualitative interviews with high-performing practices. We used empirical criteria and expert review to eliminate redundancy and improve clarity via removing and retaining items. The retained items were formatted into a survey tool, and we further revised the tool based on feedback elicited from cognitive interviews and pilot testing with primary care providers and staff. The final candidate pool comprised 126 items after refinement and expert review. For the survey tool, we adapted and developed survey questions for each of the 126 items. Eight cognitive interview participants reviewed the tool and provided feedback on its content and language. Based on this feedback, we eliminated 13 items because they were poorly or incorrectly understood by participants, resulting in a 113-item tool. Fifteen participants pilot tested the tool and no additional items were eliminated. The TAPP is a novel, low-burden tool that researchers and primary care providers can use to identify areas for improvement at the practice-level. Practices and health systems could use the TAPP to assess their own performance and identify gaps in their structures and processes, and practice networks and health systems can use the tool to assess structures and processes at individual clinics, track this information over time, and evaluate its relationship to care quality and clinical outcomes.

UNLABELLED: HIGHLIGHTS/UNASSIGNED:A new oral cancer simulation model with risk factors including degrees of smoking and alcohol exposure, oral lesion features, and sex incorporates more accurate and precise representation of patient risk categories.We evaluated screening strategies for oral potentially malignant disorders with or without risk-stratified biopsy referral in both the general population and subpopulations defined by degrees of smoking and alcohol exposure.Men with a high degree of both smoking and alcohol exposure exhibited a significant reduction in cancer-specific deaths and cancer incidence from screening programs for oral potentially malignant disorders.Screening with risk-stratified biopsy, using a surgical treatment threshold of moderate dysplasia or worse, yielded the greatest efficiency in term of biopsies needed to detect 1 treatable case.