Faculty Bibliography

BACKGROUND:Building a learning health system (LHS) at a federally qualified health center (FQHC) can generate research with diverse communities. However, FQHCs face challenges in integrating research with their mission to deliver high-quality primary care to vulnerable populations. OBJECTIVE:Our FQHC serves over 110,000 patients annually and partners with an academic medical center. We have implemented LHS strategies to align research with health care service priorities, enable clinician involvement in research, support data analysis, disseminate findings, and seek research funding. Drawing on the Consolidated Framework for Implementation Research, we identify contextual factors that impeded or facilitated our LHS implementation. Lessons can inform LHS practice in safety-net primary care. DESIGN/METHODS:Case study of LHS development at an FQHC. STAKEHOLDERS/UNASSIGNED:FQHC leaders, clinicians, staff, and academic partners.  APPROACH: Descriptive analysis of 168 research proposals and 13 grant-funded studies. Review of procedures to approve, implement, and disseminate research. RESULTS:Supportive leadership, preexisting culture of continuous QI, academic partners who understand the FQHC mission, and investment in research infrastructure (e.g., structured research review and access to data) facilitated the implementation of our strategies to integrate research with health care delivery as part of building an LHS. Inherent characteristics of research can pose challenges for research-practice integration, e.g., research often runs on longer timelines than quality improvement initiatives. Importantly, our approach is modular and iterative: we selectively and progressively launched strategies for LHS development, beginning with essential processes to review research, administer grants, provide data, and share findings. Alongside continually enhancing these processes, our work ahead includes building clinician and staff competencies for research, extending data analyst capacity, and establishing an organizational policy on equitable patient and community engagement in research. CONCLUSIONS:Taking a modular approach and iterating LHS activities can enable FQHCs to integrate research with health care service delivery in safety-net primary care.

Early childhood is a critical period for overall development and well-being, yet children from low-income and low-resourced families, such as Chinese American immigrant families, often have unmet mental health needs as they face additional barriers like limited English proficiency and health literacy. Cultural and linguistic adaptation is essential for equitable access to resources and care. Despite the need, early childhood mental health among Chinese American families remains significantly understudied. A digital mental health solution may pose greater access and convenience to address the mental health needs of this community. Thus, this study aims to collaboratively develop a web-based app called OurChild, which provides culturally and linguistically adapted early childhood mental health and development resources for Chinese American immigrant families in New York City. Using the Participatory Cultural Adaptation Framework for Implementation Research (PCAFIR), the project involves a multiphased participatory co-design process: 1. understanding community needs through formative research and engagement; 2. building a digital library with evidence-based and culturally tailored content; 3. designing a culturally tailored web-based app using a participatory approach; and 4. refining and validating the design through user testing. Informed by formative data from existing studies and programs; focus groups and interviews with community experts (n = 6) and parents (n = 11); user testing with parents (n = 11), and through an iterative re-design process, the app was designed to be user-friendly, culturally relevant, and evidence-based. This study described the co-design process and highlighted the lessons learned in developing culturally tailored digital health tools to promote digital health equity for underserved communities.

CONTEXT/BACKGROUND:Chronic kidney disease (CKD) disproportionately impacts lower socioeconomic groups and is associated with many symptoms and complex decisions. Integration of Kidney Supportive Care (KSC) with CKD care can address these needs. To our knowledge, this approach has not been described in an underserved population. OBJECTIVES/OBJECTIVE:We describe our adaptation of an ambulatory integrated KSC and CKD clinic for implementation in a safety net hospital. We report our utilization metrics; characteristics of the population served; and visit activities. METHODS:We considered modifications from the perspectives of people with CKD, their providers, and the health system. Modifications were informed by meeting notes with key participants (hospital administrators [n = 5], funders [n = 1], and content experts [n = 2]), as well as literature on palliative care program building, safety net hospitals, and KSC. We extracted utilization data for the first 15 months of the clinic's operations, demographics, clinical characteristics, unmet health related social needs, and symptom burden, measured by the Integrated Palliative Outcome Scale-Renal (total Score, and sub-scores of physical, psychological, and practical impact of CKD) from the electronic health record. Results are reported using descriptive statistics. RESULTS:Adaptions were proactive and done by clinical and administrative leaders. Meetings identified challenges of the safety net setting including people presenting with advanced disease and having several social needs. Modifications to our base model were made in staffing, data collection, and work flow. Show rate was approximately 68%, with a majority of people identifying as Black or Hispanic, and uninsured or on Medicaid. Symptom burden was lower than previous reports, driven by a better psychological sub-score. CONCLUSIONS:We describe a feasible ambulatory care model of KSC in a safety net setting that can serve as a framework for the development of other noncancer palliative care ambulatory clinics. Future work will optimize our model.

The underlying drivers and outcomes of social determinants of health are dynamically complex, making it difficult to design effective responses. This complexity has inspired a growing number of calls to move beyond mechanistic thinking and use systems science to engage directly with complexity and highlight opportunities for methodological innovation to enhance translation of insight into real world action. This case study describes a methodological innovation combining community-based system dynamics and design thinking to understand multi-level complexity of a public health challenge: optimizing the design of a community-clinical linkage in Brooklyn, New York. In-depth description of the case illustrates methods integration and resulting insights and recommendations. Results from the case demonstrate that integrating methods generates insight at multiple levels, including connecting holistic system understanding to individual experiences of system structure and operationalizing and translating insights into action. Combining community-based system dynamics and design thinking holds value for intervention planning, strategic implementation, and sustaining change.

Purpose: The institutional conditions of primary care provision remain understudied in low- and middle-income countries. This study analyzes how primary care doctors cope with medical uncertainty in municipal clinics in urban India. As street-level bureaucrats, the municipal doctors occupy two roles simultaneously: medical professional and state agent. They operate under conditions that characterize health systems in low-resource contexts globally: inadequate state investment, weak regulation and low societal trust. The study investigates how, in these conditions, the doctors respond to clinical risk, specifically related to noncommunicable diseases (NCDs). Design/methodology/approach: The analysis draws on year-long ethnographic fieldwork in Pune (2013"“14), a city of three million, including 30 semi-structured interviews with municipal doctors. Findings: Interpreting their municipal mandate to exclude NCDs and reasoning their medical expertise as insufficient to treat NCDs, the doctors routinely referred NCD cases. They expressed concerns about violence from patients, negative media attention and unsupportive municipal authorities should anything go wrong clinically. Originality/value: The study contextualizes street-level service-delivery in weak institutional conditions. Whereas street-level workers may commonly standardize practices to reduce workload, here the doctors routinized NCD care to avoid the sociopolitical consequences of clinical uncertainty. Modalities of the welfare state and medical care in India "“ manifest in weak municipal capacity and healthcare regulation "“ appear to compel restraint in service-delivery. The analysis highlights how norms and social relations may shape primary care provision and quality.

BACKGROUND:Over a third of US adults carry a diagnosis of prediabetes, 70% of whom may progress to type 2 diabetes mellitus ("diabetes"). Community health workers (CHWs) can help patients undertake healthy behavior to prevent diabetes. However, there is limited guidance to integrate CHWs in primary care, specifically to address CHWs' dual clinic-based and community-oriented role. OBJECTIVE:Using evidence from CHWs' adaptations of a diabetes-prevention intervention in safety-net hospitals in New York City, we examine the nature, intent, and possible consequences of CHWs' actions on program fidelity. We propose strategies for integrating CHWs in primary care. DESIGN/METHODS:Case study drawing on the Model for Adaptation Design and Impact (MADI) to analyze CHWs' actions during implementation of CHORD (Community Health Outreach to Reduce Diabetes), a cluster-randomized pragmatic trial (2017-2022) at Manhattan VA and Bellevue Hospital. PARTICIPANTS/METHODS:CHWs and clinicians in the CHORD study, with a focus in this analysis on CHWs. APPROACH/METHODS:Semi-structured interviews and focus group discussion with CHWs (n=4); semi-structured interviews with clinicians (n=17). Interpretivist approach to explain CHWs' adaptations using a mix of inductive and deductive analysis. KEY RESULTS/RESULTS:CHWs' adaptations extended the intervention in three ways: by extending social assistance, healthcare access, and operational tasks. The adaptations were intended to improve fit, reach, and retention, but likely had ripple effects on implementation outcomes. CHWs' focus on patients' complex social needs could divert them from judiciously managing their caseload. CONCLUSIONS:CHWs' community knowledge can support patient engagement, but overextension of social assistance may detract from protocolized health-coaching goals. CHW programs in primary care should explicitly delineate CHWs' non-health support to patients, include multiprofessional teams or partnerships with community-based organizations, establish formal communication between CHWs and clinicians, and institute mechanisms to review and iterate CHWs' work to resolve challenges in their community-oriented role.

The Family Health Centers at New York University Langone (FHC), a federally qualified health center network in New York City, created a novel clinical decision support (CDS) tool that alerts primary health care providers to patients"™ gaps in care and triggers a dynamic, individualized order set on the basis of unique patient factors, enabling providers to readily act on each patient"™s specific gaps in care. FHC implemented this tool in 2017, starting with 15 protocols for quality measures; as of February 2024, there are 30 such protocols. During a patient visit with a provider, when there is a gap in care, a best-practice alert (BPA) fires, which includes an order set unique to the patient and visit. The provider can bypass the alert (not open it) or acknowledge the alert (open it). The provider may review the content of the order set and accept it as is or with modifications, or they can decline its recommendations if they believe it is not appropriate or plan to address the gap in care another way during the visit. To accept the dynamic order set is the intended workflow. The authors present data from September 2019 to January 2023 totaling 171,319 patient visits with at least one open gap in care among providers in pediatrics, family medicine, and internal medicine. The rate at which providers acknowledged the BPA in the first 6 months was 45% and steadily increased. In the last 6 months of the period, providers acknowledged the BPA 78% (19,281 of 24,575) of the time. Similarly, in the first 6 months, in all encounters in which a BPA was fired, 28.8% (8,585 of 29,829) had an order placed via the dynamic order set (accepted); that rate increased to 49.7% (12,210 of 24,575) during the last 6 months. This order set completion rate is notable given that most CDS use rates are low. Gap closure was higher when providers acknowledged the alert. In an analysis of all encounters with at least one open gap, spanning 2019"“2023, 46% (48,431 of 105,371) of the time, at least one gap was closed when the alert was acknowledged compared with 33% (21,993 of 65,948) when the alert was bypassed (and the recommendations of the dynamic order set were never followed). The authors show that CDS tools can be successfully implemented in a high-volume, low-resource setting if designed with efficiency in mind, ensuring provider utilization and clinical impact through closing care gaps. CDS tools that are dynamically patient specific can help improve quality of care if they are part of a broader culture of quality improvement.

BACKGROUND:It is critical to assess implementation fidelity of evidence-based interventions and factors moderating fidelity, to understand the reasons for their success or failure. However, fidelity and fidelity moderators are seldom systematically reported. The study objective was to conduct a concurrent implementation fidelity evaluation and examine fidelity moderators of CHORD (Community Health Outreach to Reduce Diabetes), a pragmatic, cluster-randomized, controlled trial to test the impact of a Community Health Workers (CHW)-led health coaching intervention to prevent incident type 2 Diabetes Mellitus in New York (NY). METHODS:We applied the Conceptual Framework for Implementation Fidelity to assess implementation fidelity and factors moderating it across the four core intervention components: patient goal setting, education topic coaching, primary care (PC) visits, and referrals to address social determinants of health (SDH), using descriptive statistics and regression models. PC patients with prediabetes receiving care from safety-net patient-centered medical homes (PCMHs) at either, VA NY Harbor or at Bellevue Hospital (BH) were eligible to be randomized into the CHW-led CHORD intervention or usual care. Among 559 patients randomized and enrolled in the intervention group, 79.4% completed the intake survey and were included in the analytic sample for fidelity assessment. Fidelity was measured as coverage, content adherence and frequency of each core component, and the moderators assessed were implementation site and patient activation measure. RESULTS:Content adherence was high for three components with nearly 80.0% of patients setting ≥ 1 goal, having ≥ 1 PC visit and receiving ≥ 1 education session. Only 45.0% patients received ≥ 1 SDH referral. After adjusting for patient gender, language, race, ethnicity, and age, the implementation site moderated adherence to goal setting (77.4% BH vs. 87.7% VA), educational coaching (78.9% BH vs. 88.3% VA), number of successful CHW-patient encounters (6 BH vs 4 VA) and percent of patients receiving all four components (41.1% BH vs. 25.7% VA). CONCLUSIONS:The fidelity to the four CHORD intervention components differed between the two implementation sites, demonstrating the challenges in implementing complex evidence-based interventions in different settings. Our findings underscore the importance of measuring implementation fidelity in contextualizing the outcomes of randomized trials of complex multi-site behavioral interventions. TRIAL REGISTRATION:The trial was registered with ClinicalTrials.gov on 30/12/2016 and the registration number is NCT03006666 .

Analysis of policy implementation for chronic disease in Belgium highlights the difficulties of launching experiments for integrated care in a health system with fragmented governance. It also entreats us to consider the inherent challenges of piloting integrated care for chronic disease. Sociomedical characteristics of chronic disease -political, social, and economic aspects of improving outcomes - pose distinct problems for pilot projects, particularly because addressing health inequity requires collaboration across health and social sectors and a long-term, life-course perspective on health. Drawing on recent US experience with demonstration projects for health service delivery reform and on chronic disease research, I discuss constraints of and lessons from pilot projects. The policy learning from pilots lies beyond their technical evaluative yield. Pilot projects can evince political and social challenges to achieving integrated chronic disease care, and can illuminate overlooked perspectives, such as those of community-based organizations (CBOs), thereby potentially extending the terms of policy debate.