Faculty Bibliography

BACKGROUND:Guidelines recommend moderate to high-intensity statins and antithrombotic agents in patients with atherosclerotic cardiovascular disease (ASCVD). However, guideline-directed medical therapy (GDMT) remains suboptimal. METHODS:In this quality initiative, best practice alerts (BPA) in the electronic health record (EHR) were utilized to alert providers to prescribe to GDMT upon hospital discharge in ASCVD patients. Rates of GDMT were compared for 5 months pre- and post-BPA implementation. Multivariable regression was used to identify predictors of GDMT. RESULTS:In 5985 pre- and 5568 post-BPA patients, the average age was 69.1 ± 12.8 years and 58.5% were male. There was a 4.0% increase in statin use from 67.3% to 71.3% and a 3.1% increase in antithrombotic use from 75.3% to 78.4% in the post-BPA cohort. CONCLUSIONS:This simple EHR-based initiative was associated with a modest increase in ASCVD patients being discharged on GDMT. Leveraging clinical decision support tools provides an opportunity to influence provider behavior and improve care for ASCVD patients, and warrants further investigation.

Functional characterization of bacterial proteins lags far behind the identification of new protein families. This is especially true for bacterial species that are more difficult to grow and genetically manipulate than model systems such as Escherichia coli and Bacillus subtilis To facilitate functional characterization of mycobacterial proteins, we have established a Mycobacterial Systems Resource (MSR) using the model organism Mycobacterium smegmatis This resource focuses specifically on 1,153 highly conserved core genes that are common to many mycobacterial species, including Mycobacterium tuberculosis, in order to provide the most relevant information and resources for the mycobacterial research community. The MSR includes both biological and bioinformatic resources. The biological resource includes (i) an expression plasmid library of 1,116 genes fused to a fluorescent protein for determining protein localization; (ii) a library of 569 precise deletions of nonessential genes; and (iii) a set of 843 CRISPR-interference (CRISPRi) plasmids specifically targeted to silence expression of essential core genes and genes for which a precise deletion was not obtained. The bioinformatic resource includes information about individual genes and a detailed assessment of protein localization. We anticipate that integration of these initial functional analyses and the availability of the biological resource will facilitate studies of these core proteins in many Mycobacterium species, including the less experimentally tractable pathogens M. abscessus, M. avium, M. kansasii, M. leprae, M. marinum, M. tuberculosis, and M. ulcerans

IMPORTANCE:COVID-19 is a life-threatening illness for many patients. Prior studies have established hematologic cancers as a risk factor associated with particularly poor outcomes from COVID-19. To our knowledge, no studies have established a beneficial role for anti-COVID-19 interventions in this at-risk population. Convalescent plasma therapy may benefit immunocompromised individuals with COVID-19, including those with hematologic cancers. OBJECTIVE:To evaluate the association of convalescent plasma treatment with 30-day mortality in hospitalized adults with hematologic cancers and COVID-19 from a multi-institutional cohort. DESIGN, SETTING, AND PARTICIPANTS:This retrospective cohort study using data from the COVID-19 and Cancer Consortium registry with propensity score matching evaluated patients with hematologic cancers who were hospitalized for COVID-19. Data were collected between March 17, 2020, and January 21, 2021. EXPOSURES:Convalescent plasma treatment at any time during hospitalization. MAIN OUTCOMES AND MEASURES:The main outcome was 30-day all-cause mortality. Cox proportional hazards regression analysis with adjustment for potential confounders was performed. Hazard ratios (HRs) are reported with 95% CIs. Secondary subgroup analyses were conducted on patients with severe COVID-19 who required mechanical ventilatory support and/or intensive care unit admission. RESULTS:A total of 966 individuals (mean [SD] age, 65 [15] years; 539 [55.8%] male) were evaluated in this study; 143 convalescent plasma recipients were compared with 823 untreated control patients. After adjustment for potential confounding factors, convalescent plasma treatment was associated with improved 30-day mortality (HR, 0.60; 95% CI, 0.37-0.97). This association remained significant after propensity score matching (HR, 0.52; 95% CI, 0.29-0.92). Among the 338 patients admitted to the intensive care unit, mortality was significantly lower in convalescent plasma recipients compared with nonrecipients (HR for propensity score-matched comparison, 0.40; 95% CI, 0.20-0.80). Among the 227 patients who required mechanical ventilatory support, mortality was significantly lower in convalescent plasma recipients compared with nonrecipients (HR for propensity score-matched comparison, 0.32; 95% CI, 0.14-0.72). CONCLUSIONS AND RELEVANCE:The findings of this cohort study suggest a potential survival benefit in the administration of convalescent plasma to patients with hematologic cancers and COVID-19.

There is increasing interest in health care organizations functioning as learning health systems (LHSs) to improve the quality and efficiency of health care delivery while generating new knowledge. Individuals must be trained in associated concepts and competencies and subsequently positioned (or embedded) within the delivery system for maximum effect as they perform their scholarship. Potential researchers within LHSs come from many different training backgrounds; therefore, each LHS scholar requires a goal-directed plan tailored to his or her needs. There are few tools available to guide development, training, or evaluation of individuals interested in becoming leaders of research in LHSs. In this paper, we present a newly developed tool for guiding the training of such researchers, the Learning Health Systems Competency Appraisal Inventory (LHS-CAI). The LHS-CAI is modeled after the Clinical Research Appraisal Index (CRAI) used within Clinical and Translational Science Award sites across the United States. The LHS-CAI is a tool for trainees at all levels to use with their mentors in an interactive manner. The tool can then identify areas in which more training is needed and at what level to ensure success as a researcher within LHSs. We further modified the CRAI format to better leverage the LHS-CAI as a key part of an LHS scholar's individual development plan. To implement the LHS-CAI, we have identified key points within the Minnesota Learning Health System Mentored Career Development Program (MN-LHS) at which assessment of expertise for each competency would be useful to LHS scholars, mentors, and program leaders. Scholars in this program come from various clinical and academic backgrounds but are all targeting their career trajectories toward leading embedded LHS research. They will reevaluate their expertise upon completion of the program, with comparison to baseline serving as a key program evaluation tool. The LHS-CAI is currently being implemented with the first cohort of scholars in the MN-LHS program.

BACKGROUND:COVID-19 has put extraordinary stress on healthcare workers. Few studies have evaluated stress by worker role, or focused on experiences of women and people of color. METHODS:The "Coping with COVID" survey assessed US healthcare worker stress. A stress summary score (SSS) incorporated stress, fear of exposure, anxiety/depression and workload (Omega 0.78). Differences from mean were expressed as Cohen's d Effect Sizes (ESs). Regression analyses tested associations with stress and burnout. FINDINGS/RESULTS:< 0.001). INTERPRETATION/CONCLUSIONS:Stress is higher among nursing assistants, medical assistants, social workers, inpatient workers, women and persons of color, is related to workload and mental health, and is lower when feeling valued.

PURPOSE:Trust is an essential component of health care. Clinicians need to trust organizational leaders to provide a safe and effective work environment, and patients need to trust their clinicians to deliver high-quality care while addressing their health care needs. We sought to determine perceived characteristics of clinics by clinicians who trust their organizations and whose patients have trust in them. METHODS:We used baseline data from the Healthy Work Place trial, a randomized trial of interventions to improve work life in 34 Midwest and East Coast primary care clinics, to identify clinic characteristics associated with high clinician and patient trust. RESULTS:= .003). CONCLUSION:Addressing organizational culture might improve the trust of clinicians whose patients have high trust in them.

Diagnostic errors are a source of unacceptable harm in health care. However, improvement efforts have been hampered by the lack of valid measures reflecting the quality of the diagnostic process. At the same time, it has become apparent that the healthcare work system, particularly in primary care, is chaotic and stressful, leading to clinician burnout and patient harm. We propose a new construct that health systems and researchers can use to measure the quality and safety of the diagnostic process that is sensitive to the context of the health care work system. This model focuses on three measurable practices: considering "don't miss" diagnoses, looking for red flags, and ensuring that clinicians avoid common diagnostic pitfalls. We believe that the performance of clinicians with respect to these factors is sensitive to the health care work system, allowing for context-dependent measurement and improvement of the diagnostic process. Such process measures will enable more rapid improvements rather than exclusively measuring outcomes related to "correct" or "incorrect" diagnoses.

PROBLEM:Rates of burnout are high in physicians in the United States. While others have reported on the success of burnout-reduction strategies on practicing physicians and residents, few strategies have approached the problem longitudinally in residents. APPROACH:From 2014 to 2019, the authors used a previously developed survey to assess factors related to resident burnout, including sleep, personal time, professional fulfillment, effects on relationships, program recognition, and peer support. At Hennepin Healthcare, a safety-net hospital in Minneapolis, Minnesota, the authors created a reproducible process for collecting data from internal medicine residents annually, and for using evidence-based conceptual frameworks to develop a continuous improvement method to address worklife across training years. Interventions included jeopardy coverage for essential life events, a newsletter celebrating resident achievements, removal of after-hours consult pager call, an extra day off for senior residents on the wards, and care packages distributed to night teams. OUTCOMES:Annually from 2014 to 2019, 40/66 (60.6%) to 62/73 residents (84.9%) completed the survey (average response rate was 72.1% over 6 years). Survey results were shared with residents in multiple formats, and feedback was requested, demonstrating that burnout reduction is a priority for program leadership. High professional fulfillment scores were documented every year. Self-reported rates of burnout were between 25% and 35%. Significant improvements were seen in perception of empathy, sleep impairment, and peer support. NEXT STEPS:The authors developed a plan for minimizing burnout, which includes the following evidence-based domains: workload, control, balance in effort and reward, work-life balance, fairness, values, support, gender equity, moral distress, and moral injury. Additional interventions include protected time for didactics, trauma-informed care training, and addressing workplace racism. The authors aspire to achieve an integrated culture of well-being for residents and faculty; foster an efficient, effective, and fair learning environment; and reduce-and ultimately eliminate-burnout.