Using Discrete Event Simulation to Design and Assess an AI-aided Workflow for Same-day Diagnostic Testing of Women Undergoing Breast Screening.

The process of patients waiting for diagnostic examinations after an abnormal screening mammogram is inefficient and anxiety-inducing. Artificial intelligence (AI)-aided interpretation of screening mammography could reduce the number of recalls after screening. We proposed a same-day diagnostic workup to alleviate patient anxiety by employing an AI-aided interpretation to reduce unnecessary diagnostic testing after an abnormal screening mammogram. However, the potential unintended consequences of introducing this workflow in a high-volume breast imaging center are unknown. Using discrete event simulation, we observed that implementing the AI-aided screening mammogram interpretation and same-day diagnostic workflow would reduce daily patient volume by 4%, increase the time a patient would be at the clinic by 24%, and increase waiting times by 13-31%. We discuss how changing the hours of operation and introducing new imaging equipment and personnel may alleviate these negative impacts.

A qualitative analysis of post-hoc interviews with multilevel participants of a randomized controlled trial of a community-based intervention.

INTRODUCTION: Community-based health interventions often demonstrate efficacy in clinical trial settings but fail to be implemented in the real-world. We sought to identify the key operational and contextual elements of the Los Angeles Barbershop Blood Pressure Study (LABBPS), an objectively successful community-based health intervention primed for real-world implementation. LABBPS was a cluster randomized control trial that paired the barbers of Black-owned barbershops with clinical pharmacists to manage uncontrolled hypertension in Black male patrons, demonstrating a substantial 21.6 mmHg reduction in systolic blood pressure. Despite this success, the LABBPS intervention has not expanded beyond the original clinical trial setting. The aim of this study was to determine the facilitating and limiting factors to expansion of the LABBPS intervention. METHODS: We undertook a qualitative assessment of semi-structured interviews with study participants performed after trial completion. Interviews included a total of 31 participants including 20 (6%) of the 319 LABBPS program participants ("patrons"), 10 (19%) barbers, and one (50%) clinical pharmacist. The semi-structured interviews were focused on perceptions of the medical system, study intervention, and influence of social factors on health. RESULTS: Several common themes emerged from thematic analysis of interview responses including: importance of care provided in a convenient and safe environment, individual responsibility for health and health-related behaviors, and engagement of trusted community members. In particular, patrons reported that receiving the intervention from their barber in a familiar environment positively influenced the formation of relationships with clinical pharmacists around shared efforts to improve medication adherence and healthy habits. All interviewee groups identified the trust diad, comprising the familiar environment and respected community member, as instrumental in increasing health-related behaviors to a degree not usually achieved by traditional healthcare providers. DISCUSSION: In conclusion, participants of an objectively successful community-based intervention trial consistently identified key features that could facilitate wider implementation and efficacy: social trust relationships, soliciting insights of trust bearers, and consistent engagement in a familiar community setting. These findings can help to inform the design and operations of future community-based studies and programs aiming to achieve a broad and sustainable impact.

Common Data Element Collection in Underserved School Communities: Challenges and Recommendations.

OBJECTIVES: To provide recommendations for future common data element (CDE) development and collection that increases community partnership, harmonizes data interpretation, and continues to reduce barriers of mistrust between researchers and underserved communities. METHODS: We conducted a cross-sectional qualitative and quantitative evaluation of mandatory CDE collection among Rapid Acceleration of Diagnostics-Underserved Populations Return to School project teams with various priority populations and geographic locations in the United States to: (1) compare racial and ethnic representativeness of participants completing CDE questions relative to participants enrolled in project-level testing initiatives and (2) identify the amount of missing CDE data by CDE domain. Additionally, we conducted analyses stratified by aim-level variables characterizing CDE collection strategies. RESULTS: There were 15 study aims reported across the 13 participating Return to School projects, of which 7 (47%) were structured so that CDEs were fully uncoupled from the testing initiative, 4 (27%) were fully coupled, and 4 (27%) were partially coupled. In 9 (60%) study aims, participant incentives were provided in the form of monetary compensation. Most project teams modified CDE questions (8/13; 62%) to fit their population. Across all 13 projects, there was minimal variation in the racial and ethnic distribution of CDE survey participants from those who participated in testing; however, fully uncoupling CDE questions from testing increased the proportion of Black and Hispanic individuals participating in both initiatives. CONCLUSIONS: Collaboration with underrepresented populations from the early study design process may improve interest and participation in CDE collection efforts.

Building School-Academic Partnerships to Implement COVID-19 Testing in Underserved Populations.

OBJECTIVE: In April 2021, the US government made substantial investments in students' safe return to school by providing resources for school-based coronavirus disease 2019 (COVID-19) mitigation strategies, including COVID-19 diagnostic testing. However, testing uptake and access among vulnerable children and children with medical complexities remained unclear. METHODS: The Rapid Acceleration of Diagnostics Underserved Populations program was established by the National Institutes of Health to implement and evaluate COVID-19 testing programs in underserved populations. Researchers partnered with schools to implement COVID-19 testing programs. The authors of this study evaluated COVID-19 testing program implementation and enrollment and sought to determine key implementation strategies. A modified Nominal Group Technique was used to survey program leads to identify and rank testing strategies to provide a consensus of high-priority strategies for infectious disease testing in schools for vulnerable children and children with medical complexities. RESULTS: Among the 11 programs responding to the survey, 4 (36%) included prekindergarten and early care education, 8 (73%) worked with socioeconomically disadvantaged populations, and 4 focused on children with developmental disabilities. A total of 81 916 COVID-19 tests were performed. "Adapting testing strategies to meet the needs, preferences, and changing guidelines," "holding regular meetings with school leadership and staff," and "assessing and responding to community needs" were identified as key implementation strategies by program leads. CONCLUSIONS: School-academic partnerships helped provide COVID-19 testing in vulnerable children and children with medical complexities using approaches that met the needs of these populations. Additional work is needed to develop best practices for in-school infectious disease testing in all children.

Using Grand Rounds to Train and Prepare a Local Public Health Workforce To Manage COVID-19 Outbreaks During the 2020-2021 Pandemic Winter Upsurge.

In response to the coronavirus disease 2019 (COVID-19) pandemic, the Los Angeles County Department of Public Health (DPH) expanded its workforce by >250 staff during Fall 2020 to manage the expected volume of outbreaks, which ultimately peaked. The workforce included reorganized groups of physicians, nurses, outbreak investigators from several DPH programs, and a 100+ member data science team tasked with designing and operating a data system and information flow process that became the backbone infrastructure of support for field investigation and outbreak management in real-time. The accelerated workforce expansion was completed in 3 months. To prepare new and reassigned permanent staff for fieldwork, DPH and several faculty from the Emory University Rollins School of Public Health adopted a flexible, skills-based series of medical Grand Rounds. These 16 sessions were grounded in practice- and problem-based learning principles using case studies, interactive scenarios, and didactic presentations based on scientific and public health practice information to teach knowledge and skills that were needed to manage COVID-19 outbreaks in different sectors. The evaluation suggests positive experience with the training series as well as impact on job performance.

Modeling COVID-19 infection dynamics and mitigation strategies for in-person K-6 instruction.

Background: U.S. school closures due to the coronavirus disease 2019 (COVID-19) pandemic led to extended periods of remote learning and social and economic impact on families. Uncertainty about virus dynamics made it difficult for school districts to develop mitigation plans that all stakeholders consider to be safe. Methods: We developed an agent-based model of infection dynamics and preventive mitigation designed as a conceptual tool to give school districts basic insights into their options, and to provide optimal flexibility and computational ease as COVID-19 science rapidly evolved early in the pandemic. Elements included distancing, health behaviors, surveillance and symptomatic testing, daily symptom and exposure screening, quarantine policies, and vaccination. Model elements were designed to be updated as the pandemic and scientific knowledge evolve. An online interface enables school districts and their implementation partners to explore the effects of interventions on outcomes of interest to states and localities, under a variety of plausible epidemiological and policy assumptions. Results: The model shows infection dynamics that school districts should consider. For example, under default assumptions, secondary infection rates and school attendance are substantially affected by surveillance testing protocols, vaccination rates, class sizes, and effectiveness of safety education. Conclusions: Our model helps policymakers consider how mitigation options and the dynamics of school infection risks affect outcomes of interest. The model was designed in a period of considerable uncertainty and rapidly evolving science. It had practical use early in the pandemic to surface dynamics for school districts and to enable manipulation of parameters as well as rapid update in response to changes in epidemiological conditions and scientific information about COVID-19 transmission dynamics, testing and vaccination resources, and reliability of mitigation strategies.

Encouraging "Positive Views" of Mental Illness in High Schools: An Evaluation of Bring Change 2 Mind Youth Engagement Clubs.

"Bring Change 2 Mind" (BC2M) high school clubs may destigmatize mental illness among club members, but clubs' (1) reach and impact on non-club members at the same school, (2) connection to student help-seeking attitudes, and (3) mechanisms by which they destigmatize mental illness, are unknown. This community-partnered evaluation involved pre/post surveys of predominantly Latino (72%) students at three urban public schools and focus groups and interviews with a sample of club members (n = 26/65, 40%) and all club staff (n = 7, 100%). Multivariate regressions tested relationships between variables. In 84% of the student body responded in the Fall (n = 1,040) and Spring (n = 1,031). Non-club member engagement in BC2M (reach) increased from 25% (Fall) to 44% (Spring) (p < .01). Engagement with BC2M clubs was associated with decreased stigma among members (p < .05) but not non-members (p = .19). Decreased stigma was associated with help-seeking attitudes (p < .01). Possible BC2M mechanisms identified by students and staff include the following: (1) fostering a positive campus climate, (2) normalizing mental health discussions, (3) increasing peer support and help-seeking, and (4) increasing awareness of positive coping behaviors. While BC2M clubs likely reduce stigma for members, effects did not reach non-members, challenging the potential of BC2M clubs as a schoolwide strategy to destigmatize mental health services. Future projects could investigate how to reach non-BC2M members, complement BC2M with other school climate interventions to increase impact, and measure BC2M impact alongside other outcomes relevant to schools, such as academic achievement.

School Masking Policies and Secondary SARS-CoV-2 Transmission.

OBJECTIVES: Throughout the COVID-19 pandemic, masking has been a widely used mitigation practice in kindergarten through 12th grade (K-12) school districts to limit within-school transmission. Prior studies attempting to quantify the impact of masking have assessed total cases within schools; however, the metric that more optimally defines effectiveness of mitigation practices is within-school transmission, or secondary cases. We estimated the impact of various masking practices on secondary transmission in a cohort of K-12 schools. METHODS: We performed a multistate, prospective, observational, open cohort study from July 26, 2021 to December 13, 2021. Districts reported mitigation practices and weekly infection data. Districts that were able to perform contact tracing and adjudicate primary and secondary infections were eligible for inclusion. To estimate the impact of masking on secondary transmission, we used a quasi-Poisson regression model. RESULTS: A total of 1 112 899 students and 157 069 staff attended 61 K-12 districts across 9 states that met inclusion criteria. The districts reported 40 601 primary and 3085 secondary infections. Six districts had optional masking policies, 9 had partial masking policies, and 46 had universal masking. In unadjusted analysis, districts that optionally masked throughout the study period had 3.6 times the rate of secondary transmission as universally masked districts; and for every 100 community-acquired cases, universally masked districts had 7.3 predicted secondary infections, whereas optionally masked districts had 26.4. CONCLUSIONS: Secondary transmission across the cohort was modest (<10% of total infections) and universal masking was associated with reduced secondary transmission compared with optional masking.

The Relationship Between Insurance Status and the Affordable Care Act on Asthma Outcomes Among Low-Income US Adults.

BACKGROUND: Asthma disproportionately affects individuals with lower income. High uninsured rates are a potential driver for this disparity. Previous studies have not examined the effect of the Affordable Care Act (ACA) on asthma-related outcomes for individuals with low income. RESEARCH QUESTION: What is the impact of insurance status and the ACA on asthma outcomes for adults 18 to 64 years of age in households with low-income status? STUDY DESIGN AND METHODS: This study was a pooled cross-sectional observational study using National Health Interview Survey data from 2011 through 2013 and 2016 through 2018. Individuals 18 to 64 years of age with a history of asthma and low income were included. Survey-weighted regression modeling and mediation analysis was used to explore the relationship of insurance status and asthma control. Univariate and multivariate survey-weighted regression modeling then was used to evaluate the correlation of the ACA and asthma outcomes. RESULTS: We identified 4,043 individual observations. Having health insurance was correlated with improved asthma outcomes (OR, 1.25). This relationship was completely mediated by cost barriers to medications and physician visits. Although the ACA resulted in significant changes in insurance status (OR, 2.4), no statistically significant change was found in asthma outcomes. Furthermore, cost barriers to both medications and physician visits persisted in the insured population, 20.7% and 30.0%, respectively. INTERPRETATION: Insurance coverage is associated with improved asthma control for adults 18 to 64 years from households with low socioeconomic status. The ACA reduced the rates of uninsured, but did not have the same magnitude of effect on reducing cost barriers. The persistence of cost barriers may explain in part the lack of population-level improvement in asthma control.

Pediatric Approach to Trauma Treatment and Resilience-A Novel Relationship-Based Curriculum and Approach to Train Pediatric Professionals to Provide Trauma-Informed Care.

Information and techniques from evidence-based, trauma-informed mental health treatments, resilience and parenting literature and supporting evidence from neuroscience were adapted to provide pediatricians a practical approach and tools to promote resilience and respond to trauma symptoms.

Barriers and Facilitators to Implementation of Health System Interventions Aiming to Welcome and Protect Immigrant Patients: a Qualitative Study.

BACKGROUND: At the same time that federal policymakers have enforced restrictive immigration policies, healthcare systems across the USA are developing, and have implemented, interventions aimed at addressing immigration-related stressors faced by immigrant communities. Yet, little is known about the contextual determinants that influence their implementation success. Using the Consolidated Framework for Implementation Research (CFIR), this study identifies factors enabling or challenging the implementation of interventions aimed at mitigating immigration-related stressors in the healthcare context. METHODS: We used a qualitative research design to conduct 38 semi-structured interviews with stakeholders involved in implementation of interventions at 25 healthcare facilities across 5 states with the highest undocumented immigrant populations (California, Texas, New York, Florida, and Illinois). Interviews were conducted from May through August 2018. Constant comparative analysis was used to identify barrier and facilitator themes. Deductive coding was thereafter used to categorize themes according to CFIR domain. RESULTS: Barriers to implementation included perceptions of legal complexity and challenges to adopting such systemic strategies. Facilitators included a national policy climate that had brought immigrant health to the forefront, allowing for leveraging momentum towards institutional change; communication among healthcare personnel; existing community partnerships with immigrant rights and service organizations; and a shared sense of mission centering health equity. Local variation in immigration-related policies (e.g., local law agencies enforcing federal immigration laws) and heterogeneity of local immigrant communities also impacted implementation. Champions and informal leaders were integral to institutional efforts but not sufficient for sustainability. Perceived urgency to act superseded evaluation considerations, with all interventions in initial phases of implementation. Future iterations and evaluations of these interventions are needed to establish best practices and implementation determinants. CONCLUSION: This is the first systematic study describing implementation determinants of immigration-related interventions across health systems. Identifying these determinants provides guidance to other healthcare organizations to effectively strategize and ensure implementation success.

Optimal uses of pooled testing for COVID-19 incorporating imperfect test performance and pool dilution effect: An application to congregate settings in Los Angeles County.

INTRODUCTION: Pooled testing is a potentially efficient alternative strategy for COVID-19 testing in congregate settings. We evaluated the utility and cost-savings of pooled testing based on imperfect test performance and potential dilution effect due to pooling and created a practical calculator for online use. METHODS: We developed a 2-stage pooled testing model accounting for dilution. The model was applied to hypothetical scenarios of 100 specimens collected during a one-week time-horizon cycle for varying levels of COVID-19 prevalence and test sensitivity and specificity, and to 338 skilled nursing facilities (SNFs) in Los Angeles County (Los Angeles) (data collected and analyzed in 2020). RESULTS: Optimal pool sizes ranged from 1 to 12 in instances where there is a least one case in the batch of specimens. 40% of Los Angeles SNFs had more than one case triggering a response-testing strategy. The median number (minimum; maximum) of tests performed per facility were 56 (14; 356) for a pool size of 4, 64 (13; 429) for a pool size of 10, and 52 (11; 352) for an optimal pool size strategy among response-testing facilities. The median costs of tests in response-testing facilities were $8250 ($1100; $46,100), $6000 ($1340; $37,700), $6820 ($1260; $43,540), and $5960 ($1100; $37,380) when adopting individual testing, a pooled testing strategy using pool sizes of 4, 10, and optimal pool size, respectively. CONCLUSIONS: Pooled testing is an efficient strategy for congregate settings with a low prevalence of COVID-19. Dilution as a result of pooling can lead to erroneous false-negative results.

Using control charts to understand community variation in COVID-19.

Decision-makers need signals for action as the coronavirus disease 2019 (COVID-19) pandemic progresses. Our aim was to demonstrate a novel use of statistical process control to provide timely and interpretable displays of COVID-19 data that inform local mitigation and containment strategies. Healthcare and other industries use statistical process control to study variation and disaggregate data for purposes of understanding behavior of processes and systems and intervening on them. We developed control charts at the county and city/neighborhood level within one state (California) to illustrate their potential value for decision-makers. We found that COVID-19 rates vary by region and subregion, with periods of exponential and non-exponential growth and decline. Such disaggregation provides granularity that decision-makers can use to respond to the pandemic. The annotated time series presentation connects events and policies with observed data that may help mobilize and direct the actions of residents and other stakeholders. Policy-makers and communities require access to relevant, accurate data to respond to the evolving COVID-19 pandemic. Control charts could prove valuable given their potential ease of use and interpretability in real-time decision-making and for communication about the pandemic at a meaningful level for communities.

Modeling infection dynamics and mitigation strategies to support K-6 in-person instruction during the COVID-19 pandemic.

OBJECTIVE: To support safer in-person K-6 instruction during the coronavirus disease 2019 (COVID- 19) pandemic by providing public health authorities and school districts with a practical model of transmission dynamics and mitigation strategies. METHODS: We developed an agent-based model of infection dynamics and preventive mitigation strategies such as distancing, health behaviors, surveillance and symptomatic testing, daily symptom and exposure screening, quarantine policies, and vaccination. The model parameters can be updated as the science evolves and are adjustable via an online user interface, enabling users to explore the effects of interventions on outcomes of interest to states and localities, under a variety of plausible epidemiological and policy assumptions. RESULTS: Under default assumptions, secondary infection rates and school attendance are substantially affected by surveillance testing protocols, vaccination rates, class sizes, and effectiveness of safety education. CONCLUSIONS: Our model helps policymakers consider how mitigation options and the dynamics of school infection risks affect outcomes of interest. The model's parameters can be immediately updated in response to changes in epidemiological conditions, science of COVID-19 transmission dynamics, testing and vaccination resources, and reliability of mitigation strategies.

Differences in Implementation Outcomes of a Shared Decision-Making Program for Men with Prostate Cancer between an Academic Medical Center and County Health Care System.

BACKGROUND: Shared decision making (SDM) has long been advocated as the preferred way for physicians and men with prostate cancer to make treatment decisions. However, the implementation of formal SDM programs in routine care remains limited, and implementation outcomes for disadvantaged populations are especially poorly described. We describe the implementation outcomes between academic and county health care settings. METHODS: We administered a decision aid (DA) for men with localized prostate cancer at an academic center and across a county health care system. Our implementation was guided by the Consolidated Framework for Implementation Research and the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework. We assessed the effectiveness of the DA through a postappointment patient survey. RESULTS: Sites differed by patient demographic/clinical characteristics. Reach (DA invitation rate) was similar and insensitive to implementation strategies at the academic center and county (66% v. 60%, P = 0.37). Fidelity (DA completion rate) was also similar at the academic center and county (77% v. 80%, P = 0.74). DA effectiveness was similar between sites, except for higher academic center ratings for net promoter for the doctor (77% v. 37%, P = 0.01) and the health care system (77% v. 35%, P = 0.006) and greater satisfaction with manner of care (medians 100 v. 87.5, P = 0.04). Implementation strategies (e.g., faxing of patients' records and meeting patients in the clinic to complete the DA) represented substantial practice changes at both sites. The completion rate increased following the onset of reminder calls at the academic center and the creation of a Spanish module at the county. CONCLUSIONS: Successful DA implementation efforts should focus on patient engagement and access. SDM may broadly benefit patients and health care systems regardless of patient demographic/clinical characteristics.

Erratum: Bridging the gap between research, policy, and practice: Lessons learned from academic-public partnerships in the CTSA network - CORRIGENDUM.

[This corrects the article DOI: 10.1017/cts.2020.23.].

Bridging the gap between research, policy, and practice: Lessons learned from academic-public partnerships in the CTSA network.

A primary barrier to translation of clinical research discoveries into care delivery and population health is the lack of sustainable infrastructure bringing researchers, policymakers, practitioners, and communities together to reduce silos in knowledge and action. As National Institutes of Health's (NIH) mechanism to advance translational research, Clinical and Translational Science Award (CTSA) awardees are uniquely positioned to bridge this gap. Delivering on this promise requires sustained collaboration and alignment between research institutions and public health and healthcare programs and services. We describe the collaboration of seven CTSA hubs with city, county, and state healthcare and public health organizations striving to realize this vision together. Partnership representatives convened monthly to identify key components, common and unique themes, and barriers in academic-public collaborations. All partnerships aligned the activities of the CTSA programs with the needs of the city/county/state partners, by sharing resources, responding to real-time policy questions and training needs, promoting best practices, and advancing community-engaged research, and dissemination and implementation science to narrow the knowledge-to-practice gap. Barriers included competing priorities, differing timelines, bureaucratic hurdles, and unstable funding. Academic-public health/health system partnerships represent a unique and underutilized model with potential to enhance community and population health.

Assessment of Perspectives on Health Care System Efforts to Mitigate Perceived Risks Among Immigrants in the United States: A Qualitative Study.

Importance: Increases in the enforcement of immigration policies, deportations, and rhetoric critical of immigration during and after the 2016 US presidential election have been associated with a decrease in health-seeking behaviors and an increase in adverse health outcomes among immigrants. Efforts to address the health care needs of immigrants after the 2016 presidential election have centered on individual-level patient-practitioner strategies or federal- and state-level policy changes. However, these approaches have not captured the role of health care systems and the range of health care facilities encompassed within them. Objective: To characterize policies and actions implemented by health care facilities to address immigration status-related stressors. Design, Setting, and Participants: This exploratory qualitative study involved semistructured interviews in a purposive sample of health care facilities across 5 states (California, Texas, New York, Florida, and Illinois) with the largest populations of individuals with undocumented immigration status. Data from media sources and informational interviews with local immigration advocacy leaders were used to identify health care facilities that had implemented welcoming policies and strategies. Stakeholders, including administrators, frontline clinicians involved in policy implementation, and senior executive leaders, were interviewed. Interviews were conducted between May 1 and August 9, 2018, and were recorded, transcribed, and coded using constant comparative analysis. Data analysis was performed from June 29, 2018, to February 5, 2019. Main Outcomes and Measures: Stakeholder perspectives on the range, scope and content of policies and actions implemented to address immigration-related stressors at health care facilities. Results: A total of 38 in-depth interviews were conducted spanning 25 health care facilities in 5 states; these facilities included 13 federally qualified health centers, 7 academic or private hospitals, and 5 public institutions. Interviewees described policies and actions that mitigated one or more of the following perceived risks: (1) risk of exposure to immigration enforcement personnel at or near facilities, (2) risk of immigration status-related information disclosure, (3) risk associated with patient-level stressors, (4) risk associated with practitioner-level stressors, and (5) coordination of risk mitigation. Most personnel at health care facilities emphasized that their policies and actions fit within a larger mission and history of addressing the social needs of diverse patients and mitigating risks for patients. Conclusions and Relevance: Health care facilities can implement both active and reactive measures to address perceived immigration-associated risks among patients and practitioners. Population health and immigration policies are at the forefront of current policy debates. An understanding of the ways in which health care facilities can serve to mitigate perceived risks among their patients and employees can be one step toward optimizing health care for immigrants.

Teleneurology clinics for polyneuropathy: a pilot study.

INTRODUCTION: Polyneuropathy (PN) is a common condition with significant morbidity. We developed tele-polyneuropathy (tele-PN) clinics to improve access to neurology and increase guideline-concordant PN care. This article describes the mixed-methods evaluation of pilot tele-PN clinics at three community sites within the Greater Los Angeles VA Healthcare System. METHODS: For the first 25 patients (48 scheduled visits), we recorded the duration of the tele-PN visit and exam; the performance on three guideline-concordant care indicators (PN screening labs, opiate reduction, physical therapy for falls); and patient-satisfaction scores. We elicited comments about the tele-PN clinic from patients and the clinical team. We combined descriptive statistics with qualitative themes to determine the feasibility and acceptability of the tele-PN clinics. RESULTS: The average tele-PN encounter and exam times were 28.5 and 9.1 min, respectively. PN screening lab completion increased from 80 to 100%. Opiate freedom improved from 68 to 88%. Physical therapy for patients with recent falls increased from 58 to 100%. The tele-PN clinic was preferred for follow-up over in-person clinics in 86% of cases. Convenience was paramount to the clinic's success, saving an average of 231 min per patient in round-trip travel. The medical team's caring and collaborative spirit received high praise. While the clinic's efficiency was equal or superior to in-person care, the limited treatment options for PN and the small clinical exam space are areas for improvement. CONCLUSION: In this pilot, we were able to efficiently see and examine patients remotely, promote guideline-concordant PN care, and provide a high-satisfaction encounter.