Student, Staff and Faculty Experience with a Medical School Racial and Sociopolitical Trauma Protocol: A Mixed Methods Study.

Problem: Medical students experience racial and sociopolitical trauma that disrupts their learning and wellbeing. Intervention: University of California, San Francisco (UCSF) School of Medicine students advocated for a systems approach to responding to traumatic events. Students partnered with educators to introduce an innovative protocol that affords short-term flexibility in curricular expectations (e.g., defer attendance, assignments, assessments) to empower students to rest, gather, or pursue community advocacy work. This study explored students' protocol utilization and student, staff, and faculty experience with its implementation. Context: UCSF is a public medical school with a diverse student body. Students raised the need to acknowledge the effects of trauma on their learning and wellbeing. Consequently, students and educators created the UCSF Racial and Sociopolitical Trauma protocol ('protocol') to allow students time-limited flexibility around academic obligations following events anticipated to inflict trauma on a school community level. The protocol affords students space to process events and engage with affected communities while ensuring all students achieve school competencies and graduation requirements. Impact: We conducted a two-phase mixed methods study: (1) retrospective analysis of quantitative data on students' protocol use and (2) focus groups with students, staff, and faculty. We used descriptive statistics to summarize students' protocol use to adjust attendance, assignment submission, and assessments and thematic analysis of focus group data. Across eight protocol activations June 2020 - November 2021, 357 of 664 (54%) students used it for 501 curricular activities: 56% (n = 198) for attendance, 71% (n = 252) for assignments, and 14% (n = 51) for assessments. When deciding to utilize the protocol, student focus group participants considered sources of restoration; impact on their curricular/patient responsibilities; and their identities. The protocol symbolized an institutional value system that made students feel affirmed and staff and faculty proud. Staff and faculty initially faced implementation challenges with questions around how to apply the protocol to curricular components and how it would affect their roles; however, these questions became clearer with each protocol activation. Questions remain regarding how the protocol can be best adapted for the clerkship setting. Lessons Learned: High protocol usage and focus group data confirmed that students found value in the protocol, and staff and faculty felt invested in the protocol mission. This student-initiated intervention supports a cultural shift beyond diversity toward trauma-informed medical education. Partnership among learners and educators can contribute to transforming learning and healthcare environments by enacting systems and structures that enable all learners to thrive.

The Impact of Patient-Physician Racial and Gender Concordance on Patient Satisfaction with Outpatient Clinic Visits.

BACKGROUND: Patient and provider race and gender concordance (patient and physician identify as the same race/ethnicity or gender) may impact patient experience and satisfaction. OBJECTIVE: We sought to examine how patient and physician racial and gender concordance effect patient satisfaction with outpatient clinical encounters. Furthermore, we examined factors that changed satisfaction among concordant and discordant dyads. DESIGN: Consumer Assessment of Healthcare Provider and Systems (CAHPS) Patient Satisfaction Survey Scores were collected from outpatient clinical encounters between January 2017 and January 2019 at the University of California, San Francisco. PARTICIPANTS: Patients who were seen in the eligible time period, who voluntarily provided physician satisfaction scores. Providers with fewer than 30 reviews and encounters with missing data were excluded. MAIN MEASURES: Primary outcome was rate of top satisfaction score. The provider score (1-10 scale) was dichotomized as "top score (9-10)" and "low scores (<9)." KEY RESULTS: A total of 77,543 evaluations met inclusion criteria. Most patients identified as White (73.5%) and female (55.4%) with a median age of 60 (IQR 45, 70). Compared to White patients, Asian patients were less likely to give a top score even when controlling for racial concordance (OR: 0.67; CI 0.63-0.714). Telehealth was associated with increased odds of a top score relative to in-person visits (OR 1.25; CI 1.07-1.48). The odds of a top score decreased by 11% in racially discordant dyads. CONCLUSIONS: Racial concordance, particularly among older, White, male patients, is a nonmodifiable predictor of patient satisfaction. Physicians of color are at a disadvantage, as they receive lower patient satisfaction scores, even in race concordant pairs, with Asian physicians seeing Asian patients receiving the lowest scores. Patient satisfaction data is likely an inappropriate means of determining physician incentives as such may perpetuate racial and gender disadvantages.

The General Surgery Residency Experience: A Multicenter Study of Differences in Wellbeing by Race/Ethnicity.

Objectives: We explored differences by race/ethnicity in regard to several factors that reflect or impact wellbeing. Background: Physician wellbeing has critical ramifications for the US healthcare system, affecting clinical outcomes, patient experience, and healthcare economics. Within surgery, literature examining the association between race/ethnicity and wellbeing has been limited and inconclusive. Methods: Residents at 16 academic General Surgery training programs completed an online questionnaire. Racial/ethnic identity, gender identity, post-graduate year (PGY) level, and gap years were self-reported. Differences by race/ethnicity in flourishing (global wellbeing) as well as factors reflecting resilience (mindfulness, personal accomplishment, workplace support, workplace control) and risk (depression, emotional exhaustion, depersonalization, stress, anxiety, workplace demand) were assessed. Results: Of 300 respondents (response rate 34%), 179 (60%) were non-male, 123 (41%) were residents of color (ROC), and 53 (18%) were from racial/ethnic groups that are underrepresented in medicine (UIM). Relative to White residents, ROC have significantly lower flourishing and higher anxiety, and these remain significant when adjusting for gender, PGY level, and gap years. Relative to residents overrepresented in medicine (OIM), UIM residents have significantly lower emotional exhaustion and depersonalization after adjusting for gender, PGY level and gap years. Conclusions: Disparities in resident wellbeing based on race/ethnicity and UIM/OIM status exist. However, the experience of ROC is not homogeneous. As part of the transformative process to address systemic racism, eliminate disparities in surgical training, and reconceptualize wellbeing as a fundamental asset for optimal surgeon performance, further understanding the specific contributors and detractors of wellbeing among different individuals and groups is critical.

Start the Way You Want to Finish: An Intensive Diversity, Equity, Inclusion Orientation Curriculum in Undergraduate Medical Education.

PROBLEM: Medical students often feel unprepared to care for patients whose cultural backgrounds differ from their own. Programs in medical schools have begun to address health: inequities; however, interventions vary in intensity, effectiveness, and student experience. INTERVENTION: The authors describe an intensive 2-day diversity, equity, and inclusion curriculum for medical students in their orientation week prior to starting formal classes. Rather than using solely a knowledge-based "cultural competence" or a reflective "cultural humility" approach, an experiential curriculum was employed that links directly to fundamental communication skills vital to interactions with patients and teams, and critically important to addressing interpersonal disparities. Specifically, personal narratives were incorporated to promote individuation and decrease implicit bias, relationship-centered skills practice to improve communication across differences, and mindfulness skills to help respond to bias when it occurs. Brief didactics highlighting student and faculty narratives of difference were followed by small group sessions run by faculty trained to facilitate sessions on equity and inclusion. CONTEXT: Orientation week for matriculating first-year students at a US medical school. IMPACT: Matriculating students highly regarded an innovative 2-day diversity, equity, and inclusion orientation curriculum that emphasized significant relationship-building with peers, in addition to core concepts and skills in diversity, equity, and inclusion. LESSONS LEARNED: This orientation represented an important primer to concepts, skills, and literature that reinforce the necessity of training in diversity, equity, and inclusion. The design team found that intensive faculty development and incorporating diversity concepts into fundamental communication skills training were necessary to perpetuate this learning. Two areas of further work emerged: (1) the emphasis on addressing racism and racial equity as paradigmatic belies further essential understanding of intersectionality, and (2) uncomfortable conversations about privilege and marginalization arose, requiring expert facilitation.

Student-Led Efforts to Advance Anti-Racist Medical Education.

Over the past decade, medical schools across the United States have increasingly dedicated resources to advancing racial and social justice, such as by supporting diversity and inclusion efforts and by incorporating social medicine into the traditional medical curricula. While these changes are promising, the academic medicine community must apply an anti-racist lens to every aspect of medical education to equip trainees to recognize and address structural inequities. Notably, organizing and scholarly work led by medical students has been critical in advancing anti-racist curricula. In this article, the authors illustrate how student activism has reshaped medical education by highlighting examples of student-led efforts to advance anti-racist curricula at Harvard Medical School (HMS) and at the University of California, San Francisco (UCSF) School of Medicine. HMS students collaborated with faculty to address aspects of existing clinical practice that perpetuate racism, such as the racial correction factor in determining kidney function. They also responded to the existing curricula by noting missed opportunities to discuss structural racism, and they planned supplemental sessions to address these gaps. At UCSF, students identified specific avenues to improve the rigor of social medicine courses and developed new curricula to equip students with skills to confront and work to dismantle racism. The authors describe how HMS students, in an effort to improve the learning environment, developed a workshop to assist students in navigating microaggressions and discrimination in the clinical setting. At UCSF, students partnered with faculty and administration to advocate pass/fail grading for clerkships after university data revealed racial disparities in students' clerkship assessments. In reviewing these examples of students' advocacy to improve their own curricula and learning environments, the authors aim to provide support for students and faculty pursuing anti-racist curricular changes at their own institutions.

Correction to: Imaging features of immune-mediated genitourinary disease.

The authors regret that they neglected to cite their conference report on the technical part of a 'preliminary study' presented at, and published in, the Biomedical Sciences and Engineering Conference (BSEC), 2010, May 25-26 (Fully automated segmentation and characterization of the dendritic trees of retinal horizontal neurons -DOI: 10.1109/BSEC.2010.5510843 ), as it related to the larger dataset presented as validation of the method in the Neurochemical Research article (Automated Tracing of Horizontal Neuron Processes During Retinal Development- Neurochem Res. 2011 Apr;36(4):583-93). This resulted in the lack of transparency on the re-use and duplication of introductory text, which should have been cited. No figures or tables were reproduced, but rather larger confirmatory data and different set of results were reported. Appropriate authors were cited in both papers.

Quantitative NMR-Based Metabolomics on Tissue Biomarkers and Its Translation into In Vivo Magnetic Resonance Spectroscopy.

Nuclear magnetic resonance (NMR) spectroscopy is an established analytical platform for analyzing metabolic profiles of cells, tissues, and body fluids. There are several advantages in introducing an NMR-based study design into metabolomics studies, including a fast and comprehensive detection, characterization, and quantification of dozens of endogenous metabolites in a single NMR spectrum. Quantitative proton 1H-NMR is the most useful NMR-based platform for metabolomics. The frozen tissues can be analyzed noninvasively using a high-resolution magic angle spinning (HR-MAS) 1H-NMR spectroscopy; or several extraction techniques can be applied to detect additional metabolites using a conventional liquid-based NMR technique. In this chapter, we report on tissue collection, handling, extraction methods, and 1H-NMR acquisition protocols developed in the past decades for a precise and quantitative NMR-metabolomics approach. The NMR acquisition protocols (both HR-MAS and conventional 1H-NMR spectroscopy) and spectral analysis steps are also presented. Since NMR can be applied "in vivo" using horizontal bore MRI scanners, several in vivo sequences for localized 1H-MRS (magnetic resonance spectroscopy) are presented which can be directly applied for noninvasive detection of brain metabolites.

Twelve tips for responding to microaggressions and overt discrimination: When the patient offends the learner.

Microaggressions and expressions of overt discrimination negatively affect the experience of medical trainees at all levels. Mistreatment of trainees, including abusive and discriminatory behavior by patients and families, occurs commonly and is receiving increased attention in both the medical literature and popular press. Heightened awareness of the problem has sparked a call to engage in substantive conversations about bias in health professions education. The emphasis on direct observation in medical education makes the bedside a common setting for educators to witness these behaviors firsthand. Many educators are committed to developing a positive climate for learners but lack the training and skills to facilitate discussions about discrimination. As a result, these difficult but important conversations may not occur. The authors present a three-phase approach to responding to microaggressions and discrimination toward trainees from patients, and offer a communication toolkit that frontline medical educators can use in their daily practice.

Computational analysis of signaling patterns in single cells.

Signaling proteins are flexible in both form and function. They can bind to multiple molecular partners and integrate diverse types of cellular information. When imaged by time-lapse microscopy, many signaling proteins show complex patterns of activity or localization that vary from cell to cell. This heterogeneity is so prevalent that it has spurred the development of new computational strategies to analyze single-cell signaling patterns. A collective observation from these analyses is that cells appear less heterogeneous when their responses are normalized to, or synchronized with, other single-cell measurements. In many cases, these transformed signaling patterns show distinct dynamical trends that correspond with predictable phenotypic outcomes. When signaling mechanisms are unclear, computational models can suggest putative molecular interactions that are experimentally testable. Thus, computational analysis of single-cell signaling has not only provided new ways to quantify the responses of individual cells, but has helped resolve longstanding questions surrounding many well-studied human signaling proteins including NF-κB, p53, ERK1/2, and CDK2. A number of specific challenges lie ahead for single-cell analysis such as quantifying the contribution of non-cell autonomous signaling as well as the characterization of protein signaling dynamics in vivo.

Molecular and metabolic pattern classification for detection of brain glioma progression.

OBJECTIVES: The ability to differentiate between brain tumor progression and radiation therapy induced necrosis is critical for appropriate patient management. In order to improve the differential diagnosis, we combined fluorine-18 2-fluoro-deoxyglucose positron emission tomography ((18)F-FDG PET), proton magnetic resonance spectroscopy ((1)H MRS) and histological data to develop a multi-parametric machine-learning model. METHODS: We enrolled twelve post-therapy patients with grade 2 and 3 gliomas that were suspicious of tumor progression. All patients underwent (18)F-FDG PET and (1)H MRS. Maximal standardized uptake value (SUVmax) of the tumors and reference regions were obtained. Multiple 2D maps of choline (Cho), creatine (Cr), and N-acetylaspartate (NAA) of the tumors were generated. A support vector machine (SVM) learning model was established to take imaging biomarkers and histological data as input vectors. A combination of clinical follow-up and multiple sequential MRI studies served as the basis for assessing the clinical outcome. All vector combinations were evaluated for diagnostic accuracy and cross validation. The optimal cutoff value of individual parameters was calculated using Receiver operating characteristic (ROC) plots. RESULTS: The SVM and ROC analyses both demonstrated that SUVmax of the lesion was the most significant single diagnostic parameter (75% accuracy) followed by Cho concentration (67% accuracy). SVM analysis of all paired parameters showed SUVmax and Cho concentration in combination could achieve 83% accuracy. SUVmax of the lesion paired with SUVmax of the white matter as well as the tumor Cho paired with the tumor Cr both showed 83% accuracy. These were the most significant paired diagnostic parameters of either modality. Combining all four parameters did not improve the results. However, addition of two more parameters, Cho and Cr of brain parenchyma contralateral to the tumor, increased the accuracy to 92%. CONCLUSION: This study suggests that SVM models may improve detection of glioma progression more accurately than single parametric imaging methods. RESEARCH SUPPORT: National Cancer Institute, Cancer Center Support Grant Supplement Award, Imaging Response Assessment Teams.

Nutrition algorithms for infants with hypoplastic left heart syndrome; birth through the first interstage period.

Failure to thrive is common in infants with hypoplastic left heart syndrome and its variants and those with poor growth may be at risk for worse surgical and neurodevelopmental outcomes. The etiology of growth failure in this population is multifactorial and complex, but may be impacted by nutritional intervention. There are no consensus guidelines outlining best practices for nutritional monitoring and intervention in this group of infants. The Feeding Work Group of the National Pediatric Cardiology Quality Improvement Collaborative performed a literature review and assessment of best nutrition practices from centers participating in the collaborative in order to provide nutritional recommendations and levels of evidence for those caring for infants with single ventricle physiology.

Combined imaging biomarkers for therapy evaluation in glioblastoma multiforme: correlating sodium MRI and F-18 FLT PET on a voxel-wise basis.

We evaluate novel magnetic resonance imaging (MRI) and positron emission tomography (PET) quantitative imaging biomarkers and associated multimodality, serial-time-point analysis methodologies, with the ultimate aim of providing clinically feasible, predictive measures for early assessment of response to cancer therapy. A focus of this work is method development and an investigation of the relationship between the information content of the two modalities. Imaging studies were conducted on subjects who were enrolled in glioblastoma multiforme (GBM) therapeutic clinical trials. Data were acquired, analyzed and displayed using methods that could be adapted for clinical use. Subjects underwent dynamic [(18)F]fluorothymidine (F-18 FLT) PET, sodium ((23)Na) MRI and 3-T structural MRI scans at baseline (before initiation of therapy), at an early time point after beginning therapy and at a late follow-up time point after therapy. Sodium MRI and F-18 FLT PET images were registered to the structural MRI. F-18 FLT PET tracer distribution volumes and sodium MRI concentrations were calculated on a voxel-wise basis to address the heterogeneity of tumor physiology. Changes in, and differences between, these quantities as a function of scan timing were tracked. While both modalities independently show a change in tissue status as a function of scan time point, results illustrate that the two modalities may provide complementary information regarding tumor progression and response. Additionally, tumor status changes were found to vary in different regions of tumor. The degree to which these methods are useful for GBM therapy response assessment and particularly for differentiating true progression from pseudoprogression requires additional patient data and correlation of these imaging biomarker changes with clinical outcome.

Comparison of proton magnetic resonance spectroscopy with fluorine-18 2-fluoro-deoxyglucose positron emission tomography for assessment of brain tumor progression.

OBJECTIVES: We investigated the accuracy of high-field proton magnetic resonance spectroscopy ((1) H MRS) and fluorine-18 2-fluoro-deoxyglucose positron emission tomography ((18) F-FDG-PET) for diagnosis of glioma progression following tumor resection, stereotactic radiation, and chemotherapy. METHODS: Twelve post-therapy patients with histology proven gliomas (six grade II and six grade III) presented with magnetic resonance imaging (MRI) and clinical symptoms suggestive but not conclusive of progression were entered into the study. (1) H MRS data were acquired and 3-dimensional volumetric maps of choline (Cho) over creatine (Cr) were generated. Intensity of (18) F-FDG uptake was evaluated on a semiquantitative scale. RESULTS: The accuracy of (1) H MRS and (18) F-FDG-PET imaging for diagnosis of glioma progression was 75% and 83%, respectively. Classifying the tumors by grade improved accuracy of (18) F-FDG-PET to 100% in high-grade gliomas and accuracy of (1) H MRS to 80% in low-grade tumors. Spearman's analysis demonstrated a trend between (18) F-FDG uptake and tumor grading (ρ= .612, P-value = .272). The results of (18) F-FDG-PET and (1) H MRS were concordant in 75% (9/12) of cases. CONCLUSION: The combination of (1) H MRS data and (18) F-FDG-PET imaging can enhance detection of glioma progression. (1) H MRS imaging was more accurate in low-grade gliomas and (18) F-FDG-PET provided better accuracy in high-grade gliomas.

Retinoblastoma (Rb) regulates laminar dendritic arbor reorganization in retinal horizontal neurons.

Neuronal differentiation with respect to the acquisition of synaptic competence needs to be regulated precisely during neurogenesis to ensure proper formation of circuits at the right place and time in development. This regulation is particularly important for synaptic triads among photoreceptors, horizontal cells (HCs), and bipolar cells in the retina, because HCs are among the first cell types produced during development, and bipolar cells are among the last. HCs undergo a dramatic transition from vertically oriented neurites that form columnar arbors to overlapping laminar dendritic arbors with differentiation. However, how this process is regulated and coordinated with differentiation of photoreceptors and bipolar cells remains unknown. Previous studies have suggested that the retinoblastoma (Rb) tumor suppressor gene may play a role in horizontal cell differentiation and synaptogenesis. By combining genetic mosaic analysis of individual synaptic triads with neuroanatomic analyses and multiphoton live imaging of developing HCs, we found that Rb plays a cell-autonomous role in the reorganization of horizontal cell neurites as they differentiate. Aberrant vertical processes in Rb-deficient HCs form ectopic synapses with rods in the outer nuclear layer but lack bipolar dendrites. Although previous reports indicate that photoreceptor abnormalities can trigger formation of ectopic synapses, our studies now demonstrate that defects in a postsynaptic partner contribute to the formation of ectopic photoreceptor synapses in the mammalian retina.

Automated tracing of horizontal neuron processes during retinal development.

In the developing mammalian retina, horizontal neurons undergo a dramatic reorganization of their processes shortly after they migrate to their appropriate laminar position. This is an important process because it is now understood that the apical processes are important for establishing the regular mosaic of horizontal cells in the retina and proper reorganization during lamination is required for synaptogenesis with photoreceptors and bipolar neurons. However, this process is difficult to study because the analysis of horizontal neuron anatomy is labor intensive and time-consuming. In this paper, we present a computational method for automatically tracing the three-dimensional (3-D) dendritic structure of horizontal retinal neurons in two-photon laser scanning microscope (TPLSM) imagery. Our method is based on 3-D skeletonization and is thus able to preserve the complex structure of the dendritic arbor of these cells. We demonstrate the effectiveness of our approach by comparing our tracing results against two sets of semi-automated traces over a set of 10 horizontal neurons ranging in age from P1 to P5. We observe an average agreement level of 81% between our automated trace and the manual traces. This automated method will serve as an important starting point for further refinement and optimization.