Group peer mentoring is effective for different demographic groups of biomedical research faculty: A controlled trial.

INTRODUCTION: Improved mentoring of midcareer researchers in medical schools has been identified as an important potential avenue for addressing low vitality and high burnout rates in faculty, and the scarcity of both underrepresented minority (URM) faculty and women in biomedical research. To address the need for widescale effective mentoring, we sought to determine whether a group peer mentoring intervention (C-Change Mentoring and Leadership Institute) for early midcareer research faculty was effective for different demographic groups in a controlled trial. METHODS AND MATERIALS: Thirty-five diverse early midcareer faculty and 70 propensity-matched (PM) control subjects matched to intervention subjects on a) study inclusion criteria; b) gender, race, and ethnicity, degree, rank, years of experience, publications, grants; and c) pretest survey outcome variables, participated in the intervention. The C-Change Participant Survey assessed vitality, self-efficacy in career advancement, research success, mentoring others, valuing diversity, cognitive empathy, and anti-sexism/anti-racism skills at pretest and intervention completion. Analysis using multiple regression models included outcome pretest values and indicator variables for intervention, gender, URM status, and MD vs. PhD. Hypotheses regarding differential effectiveness of the intervention by demographic group were tested by including cross-product terms between the demographic indicator variables and the intervention indicator. Missing data were addressed using chained equations to create 100 data sets. RESULTS AND DISCUSSION: The intervention participants had significantly higher (favorable) scores than PM controls for: self-assessed change in vitality; self-efficacy for career advancement, research, and mentoring others; cognitive empathy; and anti-sexism/racism skills. The benefits of the intervention were nearly identical across: gender, URM vs non-URM faculty, and degree MD/PhD, except vitality significantly increased for non-URM subjects, and not for URM faculty. Self-assessed change in vitality increased for URM and non-URM. CONCLUSION: The intervention worked successfully for enhancing vitality, self-efficacy and cross-cultural engagement across different demographic groups of biomedical research faculty.

How much magnesium sulfate is needed to "keep total serum magnesium above 2.0 mg/dL"?

For patients at increased risk of life-threating ventricular arrythmias, hospitalists often administer intravenous magnesium sulfate to maintain total serum magnesium concentration (TsMg) above 2 mg/dL. How long each dose keeps TsMg above this threshold is not well known, however. We collected TsMg values from 12,618 veterans who were given 24,363 doses of intravenous magnesium sulfate during 14,901 hospitalizations for acute heart failure. Across dose amounts, the average TsMg dropped below 2.0 mg/dL within 24 h of administration. When we limited our analysis to 2 g doses (the most common dose) and adjusted for baseline TsMg, estimated glomerular filtration rate, oral magnesium supplementation, and loop diuretic dosing, we found that less than half of the adjusted TsMg values remained above 2.0 mg/dL just 12 h after dose administration. Hospitalists should expect, on average, to administer 2 g intravenous magnesium sulfate at least twice daily to maintain total serum magnesium above 2 mg/dL.

Randomized controlled trial of a group peer mentoring model for U.S. academic medicine research faculty.

Introduction: Midcareer is a critical transition point for biomedical research faculty and a common dropout point from an NIH-funded career. We report a study to assess the efficacy of a group peer mentoring program for diverse biomedical researchers in academic medicine, seeking to improve vitality, career advancement, and cross-cultural competence. Methods: We conducted a stratified randomized controlled trial with a waitlist control group involving 40 purposefully diverse early midcareer research faculty from 16 states who had a first-time NIH R01 (or equivalent) award, a K training grant, or a similar major grant. The yearlong intervention (2 to 3 days quarterly) consisted of facilitated, structured, group peer mentoring. Main study aims were to enhance faculty vitality, self-efficacy in achieving research success, career advancement, mentoring others, and cultural awareness and appreciation of diversity in the workplace. Results: Compared to the control group, the intervention group's increased vitality did not reach statistical significance (P = 0.20), but perceived change in vitality was 1.47 standard deviations higher (D = 1.47, P = 0.03). Self-efficacy for career advancement was higher in the intervention group (D = 0.41, P = 0.05) as was self-efficacy for research (D = 0.57, P = 0.02). The intervention group also valued diversity higher (D = 0.46, P = 0.02), had higher cognitive empathy (D = 0.85, P = 0.03), higher anti-sexism/racism skills (D = 0.71, P = 0.01), and higher self-efficacy in mentoring others (D = 1.14, P = 0.007). Conclusions: The mentoring intervention resulted in meaningful change in important dimensions and skills among a national sample of diverse early midcareer biomedical faculty. This mentoring program holds promise for addressing the urgencies of sustaining faculty vitality and cross-cultural competence.

Are researchers in academic medicine flourishing? A survey of midcareer Ph.D. and physician investigators.

Introduction: Midcareer research faculty are a vital part of the advancement of science in U.S. medical schools, but there are troubling trends in recruitment, retention, and burnout rates. Methods: The primary sampling frame for this online survey was recipients of a single R01 or equivalent and/or K-award from 2013 to 2019. Inclusion criteria were 3-14 years at a U.S. medical school and rank of associate professor or two or more years as assistant professor. Forty physician investigators and Ph.D. scientists volunteered for a faculty development program, and 106 were propensity-matched controls. Survey items covered self-efficacy in career, research, work-life; vitality/burnout; relationships, inclusion, trust; diversity; and intention to leave academic medicine. Results: The majority (52%) reported receiving poor mentoring; 40% experienced high burnout and 41% low vitality, which, in turn, predicted leaving intention (P < 0.0005). Women were more likely to report high burnout (P = 0.01) and low self-efficacy managing work and personal life (P = 0.01) and to be seriously considering leaving academic medicine than men (P = 0.003). Mentoring quality (P < 0.0005) and poor relationships, inclusion, and trust (P < 0.0005) predicted leaving intention. Non-underrepresented men were very likely to report low identity self-awareness (65%) and valuing differences (24%) versus underrepresented men (25% and 0%; P < 0.0005). Ph.D.s had lower career advancement self-efficacy than M.D.s (P < .0005). Conclusions: Midcareer Ph.D. and physician investigators faced significant career challenges. Experiences diverged by underrepresentation, gender, and degree. Poor quality mentoring was an issue for most. Effective mentoring could address the concerns of this vital component of the biomedical workforce.

High-Sensitivity Cardiac Troponin Algorithms and the Value of Likelihood Ratios.

High-sensitivity cardiac troponin (hs-cTn) is now the recommended biomarker for diagnosis of non-ST-elevation myocardial infarction, but proper interpretation varies based on the assay being used. Nearly uniformly, suggested interpretations of assay-specific hs-cTn results are based on predictive values, which are not applicable to most patients. Through application of a published hs-cTn algorithm to several patient scenarios, we will demonstrate that likelihood ratios are superior to predictive values for patient-centered test interpretation and decision-making. Furthermore, we will provide a blueprint for how to use existing published data presented with predictive values to calculate likelihood ratios. Changing the output of diagnostic accuracy studies and diagnostic algorithms from predictive values to likelihood ratios can improve patient care.

Prevalence of misdiagnosis of cellulitis: A systematic review and meta-analysis.

BACKGROUND: There is no gold standard test to accurately identify patients with cellulitis and therefore misdiagnosis is common. Using the clinical impression of a dermatology or an infectious disease specialist as a reference standard, we sought to determine the prevalence of misdiagnosis of cellulitis among nonspecialist physicians. METHODS: A systemic search was performed using MEDLINE, Cochrane Library, and EMBASE databases for studies reporting diagnostic accuracy of cellulitis. Inclusion criteria required dermatology or infectious disease consultation for all patients diagnosed with cellulitis by generalist physicians. We used random effects modeling to estimate the prevalence of misdiagnosis using consultant diagnosis as a reference standard. RESULTS: Eight studies contributed to the analysis. For the seven studies involving inpatients, the results were sufficiently homogeneous to justify pooling data. Of 858 inpatients initially diagnosed with cellulitis, 335 (39%, 95% confidence interval: 31-47) received an alternative diagnosis from the specialist. Heterogeneity was large (I2 = 74%) and the greatest contributor to between-study variance was the year of publication. Alternative diagnoses were mostly noninfectious (68%, 221/327), with stasis dermatitis (18%, 60/327) being the most common. An abscess was the most common alternative infectious diagnosis (10%, 32/327). DISCUSSION: Cellulitis is commonly misdiagnosed among inpatients, leading to unnecessary hospital admissions and antibiotic overuse. Most alternative diagnoses are noninfectious. Continuing medical education among general practitioners and urgent care providers will likely reduce cellulitis misdiagnoses.

The Virtual Hospitalist: a Critical Innovation During the COVID-19 Crisis.

A virtual hospitalist program expanded our ability to confront the challenges of the COVID-19 crisis at the epicenter of the pandemic in New York City. In concert with on-site hospitalists and redeployed physicians, virtual hospitalists aimed to expand capacity while maintaining high-quality care and communication. The program addressed multiple challenges created by our first COVID-19 surge: high patient census and acuity; limitations of and due to personal protective equipment; increased communication needs due to visitor restrictions and the uncertain nature of the novel disease, and limitations to in-person work for some physicians. The program created a mechanism to train and support new hospitalists and provide and expand palliative care services. We describe how our virtual hospitalist program operated during our COVID-19 surge in April and May 2020 and reflect on potential roles of virtual hospitalists after the COVID-19 crisis passes.

How to understand and teach P values: a diagnostic test framework.

OBJECTIVES: The aim of the tutorial is to help educators address misconceptions about P values and provide a tool that can be used to teach a more contemporary interpretation. STUDY DESIGN AND SETTING: A scripted tutorial using problem-based learning and a diagnostic test analogy to deconstruct the misunderstandings about P values and develop a more Bayesian approach to study interpretation. RESULTS: A diagnostic test analogy is an effective teaching tool. Learners' understanding of Bayes' theorem in diagnostic testing can be used as a bridge to the realization that the prestudy probability of a true difference is crucial for study interpretation. The analogy has several caveats and shortcomings. The limitations of this analogy and the conceptual difficulties with the Bayesian study analyses are addressed. CONCLUSION: P values do not provide the information many assume they do-they are not equivalent to a probability of a chance finding. This tutorial helps move learners from these incorrect notions to new insights.

Us, Too. Sexual Harassment Within Academic Medicine in the United States.

PURPOSE: We report on the extent of sexual harassment among residents and examine its relationship to specialty and program year and effects. METHODS: Using the C-Change Resident Survey, we surveyed residents in 34 internal medicine, pediatrics, and general surgery programs in 14 academic medical centers (AMCs). A total of 1708 residents completed the survey (70% response-rate); 51% (n = 879) were women. Respondents reported unwanted sexual comments, attention, or advances by a superior or colleagues within the last 2 years. Measures of vitality and ethical or moral distress were included in the surveys. RESULTS: Rates of sexual harassment reported by women differed across the 34 programs, with an interquartile range of 0%-11%. Residents in pediatrics had the lowest frequencies of sexual harassment (mean 2%, 95% confidence interval [CI] 0%, 4%). Residents in internal medicine had higher rates of sexual harassment (mean 7%, 95% CI 1%, 25%). Residents in surgery had the highest rates (mean 12%, 95% CI 2%, 33%). Sexual harassment was associated with lower levels of vitality and higher ethical or moral distress (both, P <0.05). CONCLUSIONS: Sexual harassment is more common for women residents in Internal Medicine and Surgery programs. The adverse effects of sexual harassment on female residents detracts from an institution's professional workforce.

Predictors of Late Mortality in D-Transposition of the Great Arteries After Atrial Switch Repair: Systematic Review and Meta-Analysis.

Background Existing data on predictors of late mortality and prevention of sudden cardiac death after atrial switch repair surgery for D-transposition of the great arteries (D-TGA) are heterogeneous and limited by statistical power. Methods and Results We conducted a systematic review and meta-analysis of 29 observational studies, comprising 5035 patients, that reported mortality after atrial switch repair with a minimum follow-up of 10 years. We also examined 4 additional studies comprising 105 patients who reported rates of implantable cardioverter-defibrillator therapy in this population. Average survival dropped to 65% at 40 years after atrial switch repair, with sudden cardiac death accounting for 45% of all reported deaths. Mortality was significantly lower in cohorts that were more recent and operated on younger patients. Patient-level risk factors for late mortality were history of supraventricular tachycardia (odds ratio [OR] 3.8, 95% CI 1.4-10.7), Mustard procedure compared with Senning (OR 2.9, 95% CI 1.9-4.5) and complex D-TGA compared with simple D-TGA (OR 4.4, 95% CI 2.2-8.8). Significant risk factors for sudden cardiac death were history of supraventricular tachycardia (OR 4.7, 95% CI 2.2-9.8), Mustard procedure (OR 2.2, 95% CI 1.1-4.1), and complex D-TGA (OR 5.7, 95% CI 1.8-18.0). Out of a total 124 implantable cardioverter-defibrillator discharges over 330 patient-years in patients with implantable cardioverter-defibrillators for primary prevention, only 8% were appropriate. Conclusions Patient-level risk of both mortality and sudden cardiac death after atrial switch repair are significantly increased by history of supraventricular tachycardia, Mustard procedure, and complex D-TGA. This knowledge may help refine current selection practices for primary prevention implantable cardioverter-defibrillator implantation, given disproportionately high rates of inappropriate discharges.

ROC Anatomy-Getting the Most Out of Your Diagnostic Test.

Clinical decision-making relies heavily on making a correct diagnosis. Clinicians have a responsibility to understand the full spectrum of the diagnostic information conveyed by a physical exam finding, laboratory test result, or imaging. Many laboratory tests, such as troponin and B-type natriuretic peptide (BNP), are continuous tests with many possible results. Yet, there is a tendency to dichotomize tests into positive and negative, and use sensitivity and specificity to describe the test characteristics. This approach can lead to waste of important diagnostic information and substandard clinical decision-making. The aim of this paper is to demonstrate the role of ROC curves in developing a more comprehensive understanding of diagnostic information portrayed by continuous tests to augment clinical decision-making.