Faculty Bibliography

IMPORTANCE/UNASSIGNED:Creating an inclusive and equitable learning environment is a national priority. Nevertheless, data reflecting medical students' perception of the climate of equity and inclusion are limited. OBJECTIVE/UNASSIGNED:To develop and validate an instrument to measure students' perceptions of the climate of equity and inclusion in medical school using data collected annually by the Association of American Medical Colleges (AAMC). DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:The Promoting Diversity, Group Inclusion, and Equity tool was developed in 3 stages. A Delphi panel of 9 members identified survey items from preexisting AAMC data sources. Exploratory and confirmatory factor analysis was performed on student responses to AAMC surveys to construct the tool, which underwent rigorous psychometric validation. Participants were undergraduate medical students at Liaison Committee on Medical Education-accredited medical schools in the US who completed the 2015 to 2019 AAMC Year 2 Questionnaire (Y2Q), the administrations of 2016 to 2020 AAMC Graduation Questionnaire (GQ), or both. Data were analyzed from August 2020 to November 2023. EXPOSURES/UNASSIGNED:Student race and ethnicity, sex, sexual orientation, and socioeconomic status. MAIN OUTCOMES AND MEASURES/UNASSIGNED:Development and psychometric validation of the tool, including construct validity, internal consistency, and criterion validity. RESULTS/UNASSIGNED:Delphi panel members identified 146 survey items from the Y2Q and GQ reflecting students' perception of the climate of equity and inclusion, and responses to these survey items were obtained from 54 906 students for the Y2Q cohort (median [IQR] age, 24 [23-26] years; 29 208 [52.75%] were female, 11 389 [20.57%] were Asian, 4089 [7.39%] were multiracial, and 33 373 [60.28%] were White) and 61 998 for the GQ cohort (median [IQR] age, 27 [26-28] years; 30 793 [49.67%] were female, 13 049 [21.05%] were Asian, 4136 [6.67%] were multiracial, and 38 215 [61.64%] were White). Exploratory and confirmatory factor analyses of student responses identified 8 factors for the Y2Q model (faculty role modeling; student empowerment; student fellowship; cultural humility; faculty support for students; fostering a collaborative and safe environment; discrimination: race, ethnicity, and gender; and discrimination: sexual orientation) and 5 factors for the GQ model (faculty role modeling; student empowerment; faculty support for students; discrimination: race, ethnicity, and gender; and discrimination: sexual orientation). Confirmatory factor analysis indicated acceptable model fit (root mean square error of approximation of 0.05 [Y2Q] and 0.06 [GQ] and comparative fit indices of 0.95 [Y2Q] and 0.94 [GQ]). Cronbach α for individual factors demonstrated internal consistency ranging from 0.69 to 0.92 (Y2Q) and 0.76 to 0.95 (GQ). CONCLUSIONS AND RELEVANCE/UNASSIGNED:This study found that the new tool is a reliable and psychometrically valid measure of medical students' perceptions of equity and inclusion in the learning environment.

The complexity of improving health in the United States and the rising call for outcomes-based physician training present unique challenges and opportunities for both graduate medical education (GME) and health systems. GME programs have been particularly challenged to implement systems-based practice (SBP) as a core physician competency and educational outcome. Disparate definitions and educational approaches to SBP, as well as limited understanding of the complex interactions between GME trainees, programs, and their health system settings, contribute to current suboptimal educational outcomes related to SBP. To advance SBP competence at individual, program, and institutional levels, the authors present the rationale for an integrated multilevel systems approach to assess and evaluate SBP; propose a conceptual multilevel data model that integrates health system and educational SBP performance; and explore the opportunities and challenges of using multilevel data to promote an empirically driven approach to residency education. The development, study, and adoption of multilevel analytic approaches to GME are imperative to the successful operationalization of SBP and thereby imperative to GME's social accountability in meeting societal needs for improved health. The authors call for the continued collaboration of national leaders towards producing integrated and multilevel datasets that link health systems and their GME-sponsoring institutions to evolve SBP.

OBJECTIVE:To evaluate the efficacy of a multimodal intervention in reducing CT pulmonary angiography (CTPA) overutilization in the evaluation of suspected pulmonary embolism in the emergency department (ED). METHODS:Previous mixed-methods analysis of barriers to guideline-concordant CTPA ordering results was used to develop a provider-focused behavioral intervention consisting of a clinical decision support tool and an audit and feedback system at a multisite, tertiary academic network. The primary outcome (guideline concordance) and secondary outcomes (yield and CTPA and D-dimer order rates) were compared using a pre- and postintervention design. ED encounters for adult patients from July 5, 2017, to January 3, 2019, were included. Fisher's exact tests and statistical process control charts were used to compare the pre- and postintervention groups for each outcome. RESULTS:Of the 201,912 ED patient visits evaluated, 3,587 included CTPA. Guideline concordance increased significantly after the intervention, from 66.9% to 77.5% (P < .001). CTPA order rate and D-dimer order rate also increased significantly, from 17.1 to 18.4 per 1,000 patients (P = .035) and 30.6 to 37.3 per 1,000 patients (P < .001), respectively. Percent yield showed no significant change (12.3% pre- versus 10.8% postintervention; P = .173). Statistical process control analysis showed sustained special-cause variation in the postintervention period for guideline concordance and D-dimer order rates, temporary special-cause variation for CTPA order rates, and no special-cause variation for percent yield. CONCLUSION/CONCLUSIONS:Our success in increasing guideline concordance demonstrates the efficacy of a mixed-methods, human-centered approach to behavior change. Given that neither of the secondary outcomes improved, our results may demonstrate potential limitations to the guidelines directing the ordering of CTPA studies and D-dimer ordering.

BACKGROUND:The EQUIPPED (Enhancing Quality of Prescribing Practices for Older Adults Discharged from the Emergency Department) medication safety program is an evidence-informed quality improvement initiative to reduce potentially inappropriate medications (PIMs) prescribed by Emergency Department (ED) providers to adults aged 65 and older at discharge. We aimed to scale-up this successful program using (1) a traditional implementation model at an ED with a novel electronic medical record and (2) a new hub-and-spoke implementation model at three new EDs within a health system that had previously implemented EQUIPPED (hub). We hypothesized that implementation speed would increase under the hub-and-spoke model without cost to PIM reduction or site engagement. METHODS:We evaluated the effect of the EQUIPPED program on PIMs for each ED, comparing their 12-month baseline to 12-month post-implementation period prescribing data, number of months to implement EQUIPPED, and facilitators and barriers to implementation. RESULTS:The proportion of PIMs at all four sites declined significantly from pre- to post-EQUIPPED: at traditional site 1 from 8.9% (8.1-9.6) to 3.6% (3.6-9.6) (p < 0.001); at spread site 1 from 12.2% (11.2-13.2) to 7.1% (6.1-8.1) (p < 0.001); at spread site 2 from 11.3% (10.1-12.6) to 7.9% (6.4-8.8) (p = 0.045); and at spread site 3 from 16.2% (14.9-17.4) to 11.7% (10.3-13.0) (p < 0.001). Time to implement was equivalent at all sites across both models. Interview data, reflecting a wide scope of responsibilities for the champion at the traditional site and a narrow scope at the spoke sites, indicated disproportionate barriers to engagement at the spoke sites. CONCLUSIONS:EQUIPPED was successfully implemented under both implementation models at four new sites during the COVID-19 pandemic, indicating the feasibility of adapting EQUIPPED to complex, real-world conditions. The hub-and-spoke model offers an effective way to scale-up EQUIPPED though a speed or quality advantage could not be shown.

The Clinical Emergency Data Registry (CEDR) is a qualified clinical data registry that collects data from participating emergency departments (EDs) in the United States for quality measurement, improvement, and reporting purposes. This article aims to provide an overview of the data collection and validation process, describe the existing data structure and elements, and explain the potential opportunities and limitations for ongoing and future research use. CEDR data are primarily collected for quality reporting purposes and are obtained from diverse sources, including electronic health records and billing data that are de-identified and stored in a secure, centralized database. The CEDR data structure is organized around clinical episodes, which contain multiple data elements that are standardized using common data elements and are mapped to established terminologies to enable interoperability and data sharing. The data elements include patient demographics, clinical characteristics, diagnostic and treatment procedures, and outcomes. Key limitations include the limited generalizability due to the selective nature of participating EDs and the limited validation and completeness of data elements not currently used for quality reporting purposes, including demographic data. Nonetheless, CEDR holds great potential for ongoing and future research in emergency medicine due to its large-volume, longitudinal, near real-time, clinical data. In 2021, the American College of Emergency Physicians authorized the transition from CEDR to the Emergency Medicine Data Institute, which will catalyze investments in improved data quality and completeness for research to advance emergency care.

BACKGROUND:Involving patient and community stakeholders in clinical trials adds value by ensuring research prioritizes patient goals both in conduct of the study and application of the research. The use of stakeholder committees and their impact on the conduct of a multicenter clinical trial have been underreported clinically and academically. The aim of this study is to describe how Study Advisory Committee (SAC) recommendations were implemented throughout the Emergency Medicine Palliative Care Access (EMPallA) trial. EMPallA is a multi-center, pragmatic two-arm randomized controlled trial (RCT) comparing the effectiveness of nurse-led telephonic case management and specialty, outpatient palliative care of older adults with advanced illness. METHODS:A SAC consisting of 18 individuals, including patients with palliative care experience, members of healthcare organizations, and payers was convened for the EMPallA trial. The SAC engaged in community-based participatory research and assisted in all aspects from study design to dissemination. The SAC met with the research team quarterly and annually from project inception to dissemination. Using meeting notes and recordings we completed a qualitative thematic analysis using an iterative process to develop themes and subthemes to summarize SAC recommendations throughout the project's duration. RESULTS:The SAC convened 16 times between 2017 and 2020. Over the course of the project, the SAC provided 41 unique recommendations. Twenty-six of the 41 (63%) recommendations were adapted into formal Institutional Review Board (IRB) study modifications. Recommendations were coded into four major themes: Scientific, Pragmatic, Resource and Dissemination. A majority of the recommendations were related to either the Scientific (46%) or Pragmatic (29%) themes. Recommendations were not mutually exclusive across three study phases: Preparatory, execution and translational. A vast majority (94%) of the recommendations made were related to the execution phase. Major IRB study modifications were made based on their recommendations including data collection of novel dependent variables and expanding recruitment to Spanish-speaking patients. CONCLUSIONS:Our study provides an example of successful integration of a SAC in the conduct of a pragmatic, multi-center RCT. Future trials should engage with SACs in all study phases to ensure trials are relevant, inclusive, patient-focused, and attentive to gaps between health care and patient and family needs. TRIAL REGISTRATION/BACKGROUND:Clinicaltrials.gov Identifier: NCT03325985, 10/30/2017.

BACKGROUND:Emerging evidence has shown racial and ethnic disparities in rates of harm for hospitalised children. Previous work has also demonstrated how highly heterogeneous approaches to collection of race and ethnicity data pose challenges to population-level analyses. This work aims to both create an approach to aggregating safety data from multiple hospitals by race and ethnicity and apply the approach to the examination of potential disparities in high-frequency harm conditions. METHODS:In this cross-sectional, multicentre study, a cohort of hospitals from the Solutions for Patient Safety network with varying race and ethnicity data collection systems submitted validated central line-associated bloodstream infection (CLABSI) and unplanned extubation (UE) data stratified by patient race and ethnicity categories. Data were submitted using a crosswalk created by the study team that reconciled varying approaches to race and ethnicity data collection by participating hospitals. Harm rates for race and ethnicity categories were compared with reference values reflective of the cohort and broader children's hospital population. RESULTS:Racial and ethnic disparities were identified in both harm types. Multiracial Hispanic, Combined Hispanic and Native Hawaiian or other Pacific Islander patients had CLABSI rates of 2.6-3.6 SD above reference values. For Black or African American patients, UE rates were 3.2-4.4 SD higher. Rates of both events in White patients were significantly lower than reference values. CONCLUSIONS:The combination of harm data across hospitals with varying race and ethnicity collection systems was accomplished through iterative development of a race and ethnicity category framework. We identified racial and ethnic disparities in CLABSI and UE that can be addressed in future improvement work by identifying and modifying care delivery factors that contribute to safety disparities.

Background: Telemedicine-specific clinical pathways (CPWs), coupled with electronic health record (EHR) order panels, provide an opportunity to ensure evidence and guideline concordant care for conditions at risk for inconsistent diagnoses and management strategies. Standardized provider and patient-facing illness scripts may fill gaps in clinicians"™ communication skills secondary to a training deficit in virtual care delivery. We aimed to implement and assess the impact of a novel care bundle for sinusitis on antimicrobial use, patient satisfaction, clinician satisfaction, and usability in patients with sinusitis. Methods: A sinusitis care bundle (SCB) for virtual urgent care patients included a sinusitis CPW with communication scripts, sinusitis order panels (SOP), and a patient education smart-phrase (SPESP) within visit instructions. Antimicrobial use was assessed during a 15-month period prior to the start of SCB element implementations and 14-months following, using statistical process control charts. Patient satisfaction was measured using Likert-style surveys. Clinician satisfaction was assessed using a novel survey addressing the SCB-targeted domains (decision support, communication, efficiency, usability, and overall satisfaction). Results: There were 69,785 and 64,019 evaluable patients in the pre-care and post-care bundle periods, respectively. Despite a significant increase in patients receiving a sinusitis diagnosis in the post-care bundle period (3.2% pre- vs. 6.2% post-, p < 0.001), antimicrobial prescribing decreased by 3.9% (p < 0.001), with statistical process control evidence of special cause change. There was a 5.1% decrease (p < 0.001) in negative patient survey responses after implementation. Clinician survey revealed substantial agreement in the domains relating to improving communication with patients and/or families, with the highest satisfaction for the SPESP over the SOP. Conclusions: Implementation of a telemedicine care bundle for patients diagnosed with sinusitis can balance multiple elements of quality care. The combination of a clinical care pathway, standardized language, and order panels within the EHR has the potential to improve patient satisfaction and decrease antimicrobial prescribing.

BACKGROUND:Eicosanoids are derivatives of polyunsaturated fatty acids (PUFAs) and participate in the inflammatory response as well as the maintenance of endothelial function. Specific eicosanoids have been linked to various diseases, including hypertension and asthma, and may also reduce renal blood flow. A systematic investigation of eicosanoid-related metabolites and adverse kidney outcomes could identify key mediators of kidney disease and inform ongoing work in drug development. METHODS:Profiling of eicosanoid-related metabolites was performed in 9,650 participants in the Atherosclerosis Risk in Communities (ARIC) Study (visit 2; mean age, 57 years). The associations between metabolite levels and the development of end-stage kidney disease (ESKD) was investigated using a series of progressively adjusted models and Cox proportional hazards regression (N= 256 events; median follow-up, 25.5 years). Metabolites with statistically significant associations with ESKD were evaluated for a potential causal role using bidirectional Mendelian randomization techniques, linking genetic instruments for eicosanoid levels to genome-wide association study summary statistics of estimated glomerular filtration rate (eGFR). RESULTS:The 223 eicosanoid-related metabolites that were profiled and passed QC were generally uncorrelated with eGFR in cross-sectional analyses (median Spearman correlation, -0.03; IQR -0.05 to 0.002). In models adjusted for multiple covariates, including baseline eGFR, three metabolites had statistically significant associations with ESKD (p-value <0.05/223). These included a hydroxyoctadecenoic acid, a dihydroxydocosapentaenoic acid, and arachidonic acid, with higher levels of the former two protective against ESKD and higher levels of arachidonic acid having a positive association with risk of ESKD. Mendelian randomization analyses suggested a causal role for the hydroxyoctadecenoic and arachidonic acid in determining eGFR. Spectral analysis identified the former metabolite as either 11-hydroxy-9-octadecenoic acid or 10-hydroxy-11-octadecenoic acid. CONCLUSIONS:High throughput eicosanoid profiling can identify metabolites that may play a protective role in the development of kidney disease.