HPV16 E7 Genetic Conservation Is Critical to Carcinogenesis.

Although most cervical human papillomavirus type 16 (HPV16) infections become undetectable within 1-2 years, persistent HPV16 causes half of all cervical cancers. We used a novel HPV whole-genome sequencing technique to evaluate an exceptionally large collection of 5,570 HPV16-infected case-control samples to determine whether viral genetic variation influences risk of cervical precancer and cancer. We observed thousands of unique HPV16 genomes; very few women shared the identical HPV16 sequence, which should stimulate a careful re-evaluation of the clinical implications of HPV mutation rates, transmission, clearance, and persistence. In case-control analyses, HPV16 in the controls had significantly more amino acid changing variants throughout the genome. Strikingly, E7 was devoid of variants in precancers/cancers compared to higher levels in the controls; we confirmed this in cancers from around the world. Strict conservation of the 98 amino acids of E7, which disrupts Rb function, is critical for HPV16 carcinogenesis, presenting a highly specific target for etiologic and therapeutic research.

Education curriculum assessment for teaching electrocardiography: Rationale and design for the prospective, international, randomized controlled EDUCATE trial.

BACKGROUND: Electrocardiogram (ECG) interpretation training is a fundamental component of medical education across disciplines. However, the skill of interpreting ECGs is not universal among medical graduates, and numerous barriers and challenges exist in medical training and clinical practice. An evidence-based and widely accessible learning solution is needed. DESIGN: The EDUcation Curriculum Assessment for Teaching Electrocardiography (EDUCATE) Trial is a prospective, international, investigator-initiated, open-label, randomized controlled trial designed to determine the efficacy of self-directed and active-learning approaches of a web-based educational platform for improving ECG interpretation proficiency. Target enrollment is 1000 medical professionals from a variety of medical disciplines and training levels. Participants will complete a pre-intervention baseline survey and an ECG interpretation proficiency test. After completion, participants will be randomized into one of four groups in a 1:1:1:1 fashion: (i) an online, question-based learning resource, (ii) an online, lecture-based learning resource, (iii) an online, hybrid question- and lecture-based learning resource, or (iv) a control group with no ECG learning resources. The primary endpoint will be the change in overall ECG interpretation performance according to pre- and post-intervention tests, and it will be measured within and compared between medical professional groups. Secondary endpoints will include changes in ECG interpretation time, self-reported confidence, and interpretation accuracy for specific ECG findings. CONCLUSIONS: The EDUCATE Trial is a pioneering initiative aiming to establish a practical, widely available, evidence-based solution to enhance ECG interpretation proficiency among medical professionals. Through its innovative study design, it tackles the currently unaddressed challenges of ECG interpretation education in the modern era. The trial seeks to pinpoint performance gaps across medical professions, compare the effectiveness of different web-based ECG content delivery methods, and create initial evidence for competency-based standards. If successful, the EDUCATE Trial will represent a significant stride towards data-driven solutions for improving ECG interpretation skills in the medical community.

Meta-analysis finds recurrent infection is more common after endovascular than after open repair of infected abdominal aortic aneurysm.

OBJECTIVE: Controversy has continued regarding the use of endovascular aneurysm repair (EVAR) vs open aneurysm repair (OAR) for infected abdominal aortic aneurysms (AAAs). In the present study, we investigated the comparative outcomes of EVAR and OAR for the treatment of infected AAAs. METHODS: We conducted a systematic review and meta-analysis using the MEDLINE and EMBASE databases through May 2021. We included studies that had described both EVAR and OAR for the treatment of infected AAAs. The primary endpoints were the rates of recurrent infection and related rupture and/or death. Perioperative and 1-year mortality and readmissions and reinterventions were also analyzed. RESULTS: Fourteen observational studies describing a total of 1203 patients (EVAR, 359 [29.8%]; OAR, 844 [70.2%]) were eligible for qualitative analysis. The baseline characteristics included diabetes mellitus (33.2%), fever at presentation (71.6%), rupture at diagnosis (26.1%), and positive blood cultures (52.5%). The mean follow-up period ranged from 12 to 40 months. The use of EVAR became more prevalent in recent years (2016-2020, 32.4%) compared with the former period (2010-2015, 13.8%; P < .0001). Fenestrated, branched, or concomitant visceral debranching EVAR was performed in 6.1% of cases. In OAR, surgical debridement was consistently performed, and in situ reconstruction was applied in 82.2% and an omental flap in 51.5%. In nine studies considered for quantitative analysis, the patients' background (EVAR, n = 264; OAR, n = 274) were statistically balanced. The crude rates of recurrent infection and related rupture or death were 13.6% (95% confidence interval [CI], 8.8%-18.5%) and 4.9% (95% CI 1.8%-8.0%), respectively. The pooled analyses depicted significantly higher rates of recurrent infection after EVAR than after OAR (relative risk [RR], 2.42; 95% CI, 1.80-3.27; P < .0001; I2 = 0%). Recurrent infection-related rupture or death (RR, 1.51; 95% CI, 0.70-3.23; P = .29; I2 = 0%), perioperative death (RR, 0.80; 95% CI, 0.39-1.65; P = .55; I2 = 35%), 1-year mortality (hazard ratio, 1.12; 95% CI, 0.97-1.28; P =.13; I2 = 0%), and readmission or reintervention (RR, 1.16; 95% CI, 0.74-1.82; P =.52; I2 = 0%) were not significantly different statistically between the two groups. Funnel plots showed no evidence of publication bias. Sensitivity analyses of leave-one-out meta-analysis confirmed higher rates of recurrent infection after EVAR. CONCLUSIONS: EVAR has become more prevalent as the initial treatment of infected AAAs. Although operative and 1-year survival were similar between OAR and EVAR groups, recurrent infection was more frequent after EVAR. This limitation should be weighed in selecting patients for EVAR in infected AAAs. Postoperative graft and infection surveillance are critical, especially after EVAR.

Validity of a cardiology fellow performance assessment: reliability and associations with standardized examinations and awards.

BACKGROUND: Most work on the validity of clinical assessments for measuring learner performance in graduate medical education has occurred at the residency level. Minimal research exists on the validity of clinical assessments for measuring learner performance in advanced subspecialties. We sought to determine validity characteristics of cardiology fellows' assessment scores during subspecialty training, which represents the largest subspecialty of internal medicine. Validity evidence included item content, internal consistency reliability, and associations between faculty-of-fellow clinical assessments and other pertinent variables. METHODS: This was a retrospective validation study exploring the domains of content, internal structure, and relations to other variables validity evidence for scores on faculty-of-fellow clinical assessments that include the 10-item Mayo Cardiology Fellows Assessment (MCFA-10). Participants included 7 cardiology fellowship classes. The MCFA-10 item content included questions previously validated in the assessment of internal medicine residents. Internal structure evidence was assessed through Cronbach's α. The outcome for relations to other variables evidence was overall mean of faculty-of-fellow assessment score (scale 1-5). Independent variables included common measures of fellow performance. FINDINGS: Participants included 65 cardiology fellows. The overall mean ± standard deviation faculty-of-fellow assessment score was 4.07 ± 0.18. Content evidence for the MCFA-10 scores was based on published literature and core competencies. Cronbach's α was 0.98, suggesting high internal consistency reliability and offering evidence for internal structure validity. In multivariable analysis to provide relations to other variables evidence, mean assessment scores were independently associated with in-training examination scores (beta = 0.088 per 10-point increase; p = 0.05) and receiving a departmental or institutional award (beta = 0.152; p = 0.001). Assessment scores were not associated with educational conference attendance, compliance with completion of required evaluations, faculty appointment upon completion of training, or performance on the board certification exam. R2 for the multivariable model was 0.25. CONCLUSIONS: These findings provide sound validity evidence establishing item content, internal consistency reliability, and associations with other variables for faculty-of-fellow clinical assessment scores that include MCFA-10 items during cardiology fellowship. Relations to other variables evidence included associations of assessment scores with performance on the in-training examination and receipt of competitive awards. These data support the utility of the MCFA-10 as a measure of performance during cardiology training and could serve as the foundation for future research on the assessment of subspecialty learners.

HPV+ oropharyngeal squamous cell carcinomas from patients with two tumors display synchrony of viral genomes yet discordant mutational profiles and signatures.

Human papillomavirus (HPV) positive oropharyngeal squamous cell carcinoma (HPV + OPSCC) is increasing in prevalence in the USA, as are cases of patients with multiple HPV + OPSCCs (mHPV + OPSCC). mHPV + OPSCCs present a unique opportunity to examine HPV + OPSCC mutation acquisition and evolution. We performed sequencing of the viral genome, somatic exome and somatic transcriptome from 8 patients each with 2 spatially distinct HPV + OPSCCs, and 37 'traditional' HPV + OPSCCs to first address if paired tumors are caused by the same viral isolate and next, if acquired alterations, and the underlying processes driving mutagenesis, are shared within pairs. All tumor pairs contained viral genomes from the same HPV type 16 sublineage and differed by 0-2 clonal single nucleotide polymorphisms (SNPs), suggesting infection with the same viral isolate. Despite this, there was significant discordance in expression profiles, mutational burden and mutational profiles between tumors in a pair, with only two pairs sharing any overlapping mutations (3/3343 variants). Within tumor pairs there was a striking discrepancy of mutational signatures, exemplified by no paired tumors sharing high APOBEC mutational burden. Here, leveraging mHPV + OPSCCs as a model system to study mutation acquisition in virally mediated tumors, in which the germline, environmental exposures, immune surveillance and tissue/organ type were internally controlled, we demonstrate that despite infection by the same viral isolate, paired mHPV + OPSCCs develop drastically different somatic alterations and even more strikingly, appear to be driven by disparate underlying mutational processes. Thus, despite a common starting point, HPV + OPSCCs evolve through variable mutational processes with resultant stochastic mutational profiles.

Development of a taxonomy of unprofessional behavior in clinical learning environments using learner-generated critical incidents.

PURPOSE: Few studies have examined medical residents' and fellows' (trainees) direct experience of unprofessional behavior in clinical learning environments (CLE). The purpose of this study was to create a taxonomy of unprofessional behavior in CLEs using critical incidents gathered from trainees. METHOD: In step 1 (data collection), the authors collected 382 critical incidents from trainees at more than a dozen CLEs over a six-year period (2013-2019). In step 2 (model generation), nine subject matter experts (SMEs) sorted the incidents into homogenous clusters and this structure was tested with principal components analysis (PCA). In step 3 (model evaluation), two new groups of SMEs each re-sorted half of the incidents into the PCA-derived categories. RESULTS: A 13-component solution accounted for 62.46% of the variance in the critical incidents collected. The SMEs who re-sorted the critical incidents demonstrated good agreement with each other and with the 13-component PCA solution. The resulting taxonomy included 13 dimensions, with 48.7% of behaviors focused on displays of aggression or discriminatory conduct. CONCLUSIONS: Critical incident methodology can provide unique insights into the dimensionality of unprofessional behavior in the CLE. Future research should leverage the taxonomy created to inform professionalism assessment development in the CLE.

Passive Recovery Strategies after Exercise: A Narrative Literature Review of the Current Evidence.

ABSTRACT: Passive recovery techniques are popular and offer a diverse spectrum of options for athletes and the clinicians providing care for them. These techniques are intended to minimize the negative effects of training or competition, thus enabling the athlete a quicker return to peak performance. Current evidence demonstrates improved athlete recovery with compression garments, cold water immersion, partial body cryotherapy, hyperbaric oxygen, and vibratory therapies. Other popular modalities, such as compression devices, whole body cryotherapy, percussive gun-assisted therapy, neuromuscular electrical stimulation, and pulsed electromagnetic therapy lack convincing evidence concerning athlete recovery. This article seeks to review the current literature and offer the reader an updated understanding of the mechanisms for each modality and the evidence regarding each modality's potential benefit in an athlete's recovery strategy.

Association of HPV35 with cervical carcinogenesis among women of African ancestry: Evidence of viral-host interaction with implications for disease intervention.

HPV35 has been found in only ∼2% of invasive cervical cancers (ICC) worldwide but up to 10% in Sub-Saharan Africa, warranting further investigation and consideration of impact on preventive strategies. We studied HPV35 and ethnicity, in relation to the known steps in cervical carcinogenesis, using multiple large epidemiologic studies in the U.S. and internationally. Combining five U.S. studies, we measured HPV35 positivity and, in Northern California, observed HPV35 type-specific population prevalence and estimated 5-year risk of developing precancer when HPV35-positive. HPV35 genetic variation was examined for differences in carcinogenicity in 1053 HPV35+ cervical specimens from a U.S. cohort and an international collection. African-American women had more HPV35 (12.1% vs 5.1%, P < .001) and more HPV35-associated precancers (7.4% vs 2.1%, P < .001) compared to other ethnicities. Precancer risks after HPV35 infection did not vary by ethnicity (global P = .52). The HPV35 A2 sublineage showed an increased association with precancer/cancer in African-Americans (OR = 5.6 vs A1, 95% CI = 1.3-24.8) and A2 was more prevalent among ICC in Africa than other world regions (41.9% vs 10.4%, P < .01). Our analyses support a strong link between HPV35 and cervical carcinogenesis in women of African ancestry. Current HPV vaccines cover the majority of cervical precancer/cancer across all ethnic groups; additional analyses are required to determine whether the addition of HPV35 to the already highly effective nine-valent HPV vaccine would provide better protection for women in Africa or of African ancestry.

Improving Our Ability to Predict Resident Applicant Performance: Validity Evidence for a Situational Judgment Test.

Construct: We investigated whether a situational judgment test (SJT) designed to measure professionalism in physicians predicts residents' performance on (a) Accreditation Council for Graduate Medical Education (ACGME) competencies and (b) a multisource professionalism assessment (MPA). Background: There is a consensus regarding the importance of assessing professionalism and interpersonal and communication skills in medical students, residents, and practicing physicians. Nonetheless, these noncognitive competencies are not well measured during medical education selection processes. One promising method for measuring these noncognitive competencies is the SJT. In a typical SJT, respondents are presented with written or video-based scenarios and asked to make choices from a set of alternative courses of action. Interpersonally oriented SJTs are commonly used for selection to medical schools in the United Kingdom and Belgium and for postgraduate selection of trainees to medical practice in Belgium, Singapore, Canada, and Australia. However, despite international evidence suggesting that SJTs are useful predictors of in-training performance, end-of-training performance, supervisory ratings of performance, and clinical skills licensing objective structured clinical examinations, the use of interpersonally oriented SJTs in residency settings in the United States has been infrequently investigated. The purpose of this study was to investigate whether residents' performance on an SJT designed to measure professionalism-related competencies-conscientiousness, integrity, accountability, aspiring to excellence, teamwork, stress tolerance, and patient-centered care-predicts both their current and future performance as residents on two important but conceptually distinct criteria: ACGME competencies and the MPA. Approach: We developed an SJT to measure seven dimensions of professionalism. During calendar year 2017, 21 residency programs from 2 institutions administered the SJT. We conducted analyses to determine the validity of SJT and USMLE scores in predicting milestone performance in ACGME core competency domains and the MPA in June 2017 and 3 months later in September 2017 for the MPA and 1 year later, in June 2018, for ACGME domains. Results: At both periods, the SJT score predicted overall ACGME milestone performance (r = .13 and .17, respectively; p < .05) and MPA performance (r = .19 and .21, respectively; p < .05). In addition, the SJT predicted ACGME patient care, systems-based practice, practice-based learning and improvement, interpersonal and communication skills, and professionalism competencies (r = .16, .15, .15, .17, and .16, respectively; p < .05) 1 year later. The SJT score contributed incremental validity over USMLE scores in predicting overall ACGME milestone performance (ΔR = .07) 1 year later and MPA performance (ΔR = .05) 3 months later. Conclusions: SJTs show promise as a method for assessing noncognitive attributes in residency program applicants. The SJT's incremental validity to the USMLE series in this study underscores the importance of moving beyond these standardized tests to a more holistic review of candidates that includes both cognitive and noncognitive measures.

Characteristics of internal medicine residents who successfully match into cardiology fellowships.

BACKGROUND: The unique traits of residents who matriculate into subspecialty fellowships are poorly understood. We sought to identify characteristics of internal medicine (IM) residents who match into cardiovascular (CV) fellowships. METHODS: We conducted a retrospective cohort study of 8 classes of IM residents who matriculated into residency from 2007 to 2014. The primary outcome was successful match to a CV fellowship within 1 year of completing IM residency. Independent variables included residents' licensing exam scores, research publications, medical school reputation, Alpha Omega Alpha (AOA) membership, declaration of intent to pursue CV in the residency application personal statement, clinical evaluation scores, mini-clinical evaluation exercise scores, in-training examination (ITE) performance, and exposure to CV during residency. RESULTS: Of the 339 included residents (59% male; mean age 27) from 120 medical schools, 73 (22%) matched to CV fellowship. At the time of residency application, 104 (31%) had ≥1 publication, 38 (11%) declared intention to pursue CV in their residency application personal statement, and 104 (31%) were members of AOA. Prior to fellowship application, 111 (33%) completed a CV elective rotation. At the completion of residency training, 108 (32%) had ≥3 publications. In an adjusted logistic regression analysis, declaration of intention to pursue CV (OR 6.4, 99% CI 1.7-23.4; p < 0.001), completion of a CV elective (OR 7.3, 99% CI 2.8-19.0; p < 0.001), score on the CV portion of the PGY-2 ITE (OR 1.05, 99% CI 1.02-1.08; p < 0.001), and publication of ≥3 manuscripts (OR 4.7, 99% CI 1.1-20.5; p = 0.007) were positively associated with matching to a CV fellowship. Overall PGY-2 ITE score was negatively associated (OR 0.93, 99% CI 0.90-0.97; p < 0.001) with matching to a CV fellowship. CONCLUSIONS: Residents' matriculation into CV fellowships was associated with declaration of CV career intent, completion of a CV elective rotation, CV medical knowledge, and research publications during residency. These findings may be useful when advising residents about pursuing careers in CV. They may also help residents understand factors associated with a successful match to a CV fellowship. The negative association between matching into CV fellowship and overall ITE score may indicate excessive subspecialty focus during IM residency.

Evaluation of TypeSeq, a Novel High-Throughput, Low-Cost, Next-Generation Sequencing-Based Assay for Detection of 51 Human Papillomavirus Genotypes.

BACKGROUND: Human papillomaviruses (HPV) cause over 500 000 cervical cancers each year, most of which occur in low-resource settings. Human papillomavirus genotyping is important to study natural history and vaccine efficacy. We evaluated TypeSeq, a novel, next-generation, sequencing-based assay that detects 51 HPV genotypes, in 2 large international epidemiologic studies. METHODS: TypeSeq was evaluated in 2804 cervical specimens from the Study to Understand Cervical Cancer Endpoints and Early Determinants (SUCCEED) and in 2357 specimens from the Costa Rica Vaccine Trial (CVT). Positive agreement and risks of precancer for individual genotypes were calculated for TypeSeq in comparison to Linear Array (SUCCEED). In CVT, positive agreement and vaccine efficacy were calculated for TypeSeq and SPF10-LiPA. RESULTS: We observed high overall and positive agreement for most genotypes between TypeSeq and Linear Array in SUCCEED and SPF10-LiPA in CVT. There was no significant difference in risk of precancer between TypeSeq and Linear Array in SUCCEED or in estimates of vaccine efficacy between TypeSeq and SPF10-LiPA in CVT. CONCLUSIONS: The agreement of TypeSeq with Linear Array and SPF10-LiPA, 2 well established standards for HPV genotyping, demonstrates its high accuracy. TypeSeq provides high-throughput, affordable HPV genotyping for world-wide studies of cervical precancer risk and of HPV vaccine efficacy.

Development of the TypeSeq Assay for Detection of 51 Human Papillomavirus Genotypes by Next-Generation Sequencing.

We have developed a new human papillomavirus (HPV) genotyping assay for detection of 51 HPV genotypes by next-generation sequencing (NGS). The TypeSeq assay consists of 3 PCR steps that equalize viral load and each type's amplicon copies prior to genotyping by NGS, thereby maximizing multiple-type sensitivity with minimal sequencing reads. The analytical sensitivity of the TypeSeq assay is 10 copies per reaction for 49 of the 51 types, including 13 high-risk (HR) types. We tested 863 clinical cervical specimens previously evaluated with the Roche Linear Array HPV genotyping test (LA). TypeSeq achieved 94.4% positive agreement with LA for detection of any HR type. Positive agreement was 91.4% and 85.5% for HPV16 and HPV18, respectively. Low-risk (LR) types ranged from 40.0% positive agreement (HPV83) to 90.9% (HPV69). Our unique approach to HPV amplification achieved a multiple-type sensitivity comparable to that of LA, with 83.9% and 84.2% of specimens positive for multiple HPV types by TypeSeq or LA, respectively. A total of 48.2% of specimens showed perfect agreement for all 37 types common to both assays. The simplicity of our open-source TypeSeq assay allows for high-throughput yet scalable processing, with a single technician able to process up to 768 specimens within 3 days. By leveraging NGS sample multiplexing capabilities, the per-sample labor requirements are greatly reduced compared to those of traditional genotyping methods. These features and the broad spectrum of detectable types make TypeSeq highly suitable for a wide range of applications.

Not all unprofessional behaviors are equal: The creation of a checklist of bad behaviors.

INTRODUCTION: Professionalism is a key component of medical education and training. However, there are few tools to aid educators in diagnosing unprofessional behavior at an early stage. The purpose of this study was to employ policy capturing methodology to develop two empirically validated checklists for identifying professionalism issues in early-career physicians. METHOD: In a series of workshops, a professionalism competency model containing 74 positive and 70 negative professionalism behaviors was developed and validated. Subsequently, 23 subject matter experts indicated their level of concern if each negative behavior occurred 1, 2, 3, 4, or 5 or more times during a six-month period. These ratings were used to create a "brief" and "extended" professionalism checklist for monitoring physician misconduct. RESULTS: This study confirmed the subjective impression that some unprofessional behaviors are more egregious than others. Fourteen negative behaviors (e.g. displaying obvious signs of substance abuse) were judged to be concerning if they occurred only once, whereas many others (e.g. arriving late for conferences) were judged to be concerning only when they occurred repeatedly. DISCUSSION: Medical educators can use the professionalism checklists developed in this study to aid in the early identification and subsequent remediation of unprofessional behavior in medical students and residents.

Characterization of T gene sequence variants and germline duplications in familial and sporadic chordoma.

Chordoma is a rare bone cancer that is believed to originate from notochordal remnants. We previously identified germline T duplication as a major susceptibility mechanism in several chordoma families. Recently, a common genetic variant in T (rs2305089) was significantly associated with the risk of sporadic chordoma. We sequenced all T exons in 24 familial cases and 54 unaffected family members from eight chordoma families (three with T duplications), 103 sporadic cases, and 160 unrelated controls. We also measured T copy number variation in all sporadic cases. We confirmed the association between the previously reported variant rs2305089 and risk of familial [odds ratio (OR) = 2.6, 95% confidence interval (CI) = 0.93, 7.25, P = 0.067] and sporadic chordoma (OR = 2.85, 95% CI = 1.89, 4.29, P < 0.0001). We also identified a second common variant, rs1056048, that was strongly associated with chordoma in families (OR = 4.14, 95% CI = 1.43, 11.92, P = 0.0086). Among sporadic cases, another common variant (rs3816300) was significantly associated with risk when jointly analyzed with rs2305089. The association with rs3816300 was significantly stronger in cases with early age onset. In addition, we identified three rare variants that were only observed among sporadic chordoma cases, all of which have potential functional relevance based on in silico predictions. Finally, we did not observe T duplication in any sporadic chordoma case. Our findings further highlight the importance of the T gene in the pathogenesis of both familial and sporadic chordoma and suggest a complex susceptibility related to T.

Perceptions of Justice in Clinical Learning Environments: Development and Validation of an Organizational Justice Measure for Medical Trainees.

PURPOSE: This study aimed to develop an instrument to measure medical trainees' perceptions of justice in clinical learning environments. METHOD: Between 2019 and 2023, the authors conducted a multiyear, multi-institutional, multiphase study to develop a 16-item justice measure with 4 dimensions: interpersonal, informational, procedural, and distributive. The authors gathered validity evidence based on test content, internal structure, and relationships with other variables across 3 phases. Phase 1 involved drafting items and gathering evidence that items measured intended dimensions. Phase 2 involved analyzing relevance of items for target groups, examining interitem correlations and factor loadings in a preliminary analysis, and obtaining reliability estimates. Phase 3 involved a confirmatory factor analysis and collecting convergent and discriminant validity evidence. RESULTS: In phase 1, 63 of 91 draft items were retained following a content validation exercise gauging how well items measured targeted dimensions (mean [SD] item ratings within dimensions, 4.16 [0.36] to 4.39 [0.34]) on a 5-point Likert scale (with 1 indicating not at all well and 5 indicating extremely well). In phase 2, 30 items were removed due to low factor loadings (i.e., < 0.40), and 4 items per dimension were selected (factor loadings, 0.42-0.89). In phase 3, a confirmatory factor analysis supported the 4-dimension model (χ2 = 610.14, P < .001; comparative fit index = 0.90, Tucker-Lewis Index = 0.87, root mean squared error of approximation = 0.11, standardized root mean squared residual = 0.06), with convergent and discriminant validity evidence showing hypothesized positive correlations with a justice measure (r = 0.93, P < .001), trait positive affect (r = 0.46, P < .001), and emotional stability (r = 0.33, P < .001) and negative correlations with trait negative affect (r = -0.39, P < .001). CONCLUSIONS: Results indicate the measure's potential utility in understanding justice perceptions and designing targeted interventions.

EDUCATE: An international, randomized controlled trial for teaching electrocardiography.

INTRODUCTION: Despite the critical role of electrocardiograms (ECGs) in patient care, evident gaps exist in ECG interpretation competency among healthcare professionals across various medical disciplines and training levels. Currently, no practical, evidence-based, and easily accessible ECG learning solution is available for healthcare professionals. The aim of this study was to assess the effectiveness of web-based, learner-directed interventions in improving ECG interpretation skills in a diverse group of healthcare professionals. METHODS: In an international, prospective, randomized controlled trial, 1206 healthcare professionals from various disciplines and training levels were enrolled. They underwent a pre-intervention test featuring 30 12-lead ECGs with common urgent and non-urgent findings. Participants were randomly assigned to four groups: (i) practice ECG interpretation question bank (question bank), (ii) lecture-based learning resource (lectures), (iii) hybrid question- and lecture-based learning resource (hybrid), or (iv) no ECG learning resources (control). After four months, a post-intervention test was administered. The primary outcome was the overall change in ECG interpretation performance, with secondary outcomes including changes in interpretation time, self-reported confidence, and accuracy for specific ECG findings. Both unadjusted and adjusted scores were used for performance assessment. RESULTS: Among 1206 participants, 863 (72 %) completed the trial. Following the intervention, the question bank, lectures, and hybrid intervention groups each exhibited significant improvements, with average unadjusted score increases of 11.4 % (95 % CI, 9.1 to 13.7; P<0.01), 9.8 % (95 % CI, 7.8 to 11.9; P<0.01), and 11.0 % (95 % CI, 9.2 to 12.9; P<0.01), respectively. In contrast, the control group demonstrated a non-significant improvement of 0.8 % (95 % CI, -1.2 to 2.8; P=0.54). While no differences were observed among intervention groups, all outperformed the control group significantly (P<0.01). Intervention groups also excelled in adjusted scores, confidence, and proficiency for specific ECG findings. CONCLUSION: Web-based, self-directed interventions markedly enhanced ECG interpretation skills across a diverse range of healthcare professionals, providing an accessible and evidence-based solution.

Differences in Trainee Evaluations of Faculty by Rater and Ratee Gender.

PURPOSE: To examine whether gender differences exist in medical trainees' (residents' and fellows') evaluations of faculty at a number of clinical departments. METHOD: The authors conducted a single-institution (University of Minnesota Medical School) retrospective cohort analysis of 5,071 trainee evaluations of 447 faculty (for which trainee and faculty gender information was available) completed between July 1, 2019, and June 30, 2022. The authors developed and employed a 17-item measure of clinical teaching effectiveness, with 4 dimensions: overall teaching effectiveness, role modeling, facilitating knowledge acquisition, and teaching procedures. Using both between- and within-subject samples, they conducted analyses to examine gender differences among the trainees making ratings (rater effects), the faculty receiving ratings (ratee effects), and whether faculty ratings differed by trainee gender (interaction effects). RESULTS: There was a statistically significant rater effect for the overall teaching effectiveness and facilitating knowledge acquisition dimensions (B = -0.28 and -0.14, 95% CI: [-0.35, -0.21] and [-0.20, -0.09], respectively, P < .001, medium corrected effect sizes between -0.34 and -0.54); female trainees rated male and female faculty lower than male trainees on both dimensions. There also was a statistically significant ratee effect for the overall teaching effectiveness and role modeling dimensions (B = -0.09 and -0.08, 95% CI: [-0.16, -0.02] and [-0.13, -0.04], P = .01 and < .001, respectively, small to medium corrected effect sizes between -0.16 and -0.44); female faculty were rated lower than male faculty on both dimensions. There was not a statistically significant interaction effect. CONCLUSIONS: Female trainees rated faculty lower than male trainees and female faculty were rated lower than male faculty on 2 teaching dimensions each. The authors encourage researchers to continue to examine the reasons for the evaluation differences observed and how implicit bias interventions might help to address them.

Adverse Childhood Experiences, Household Income, and Mentorship Among Interns Who Are Underrepresented in Medicine.

Background: Underrepresented in medicine (UIM) interns have unique lived experiences that affect their paths to medicine, and more information is needed for medical residency and fellowship programs to better support them. Objective: We describe self-reported differences between UIM and White physician interns in key demographic areas, including household income growing up, physician mentorship, and adverse childhood experiences (ACEs). Methods: Between 2019 and 2021, we administered a diversity survey to incoming medical interns at the University of Minnesota-Twin Cities. Response rates across the 3 years were 51.2% (167 of 326), 93.9% (310 of 330), and 98.9% (354 of 358), respectively. We conducted analyses to compare UIM and White groups across demographic variables of interest. Results: A total of 831 of 1014 interns (81.9%) completed the survey. Relative to White interns, UIM interns had lower household incomes growing up, lower rates of mentorship, and higher rates of experiencing 4 or more ACEs. The odds of experiencing the cumulative burden of having a childhood household income of $29,999 or less, no physician mentor, and 4 or more ACEs was approximately 10 times higher among UIM (6.41%) than White (0.66%) interns (OR=10.38, 95% CI 1.97-54.55). Conclusions: Childhood household income, prior mentorship experiences, and number of ACEs differed between UIM and White interns.

Impact of Computer-Interpreted ECGs on the Accuracy of Healthcare Professionals.

The interpretation of electrocardiograms (ECGs) involves a dynamic interplay between computerized ECG interpretation (CEI) software and human overread. However, the impact of computer ECG interpretation on the performance of healthcare professionals remains largely unexplored. The aim of this study was to evaluate the interpretation proficiency of various medical professional groups, with and without access to the CEI report. Healthcare professionals from diverse disciplines, training levels, and countries sequentially interpreted 60 standard 12-lead ECGs, demonstrating both urgent and nonurgent findings. The interpretation process consisted of 2 phases. In the first phase, participants interpreted 30 ECGs with clinical statements. In the second phase, the same 30 ECGs and clinical statements were randomized and accompanied by a CEI report. Diagnostic performance was evaluated based on interpretation accuracy, time per ECG (in seconds [s]), and self-reported confidence (rated 0 [not confident], 1 [somewhat confident], or 2 [confident]). A total of 892 participants from various medical professional groups participated in the study. This cohort included 44 (4.9%) primary care physicians, 123 (13.8%) cardiology fellows-in-training, 259 (29.0%) resident physicians, 137 (15.4%) medical students, 56 (6.3%) advanced practice providers, 82 (9.2%) nurses, and 191 (21.4%) allied health professionals. The inclusion of the CEI was associated with a significant improvement in interpretation accuracy by 15.1% (95% confidence interval, 14.3-16.0; P < 0.001), decrease in interpretation time by 52 s (-56 to -48; P < 0.001), and increase in confidence by 0.06 (0.03-0.09; P = 0.003). Improvement in interpretation accuracy was seen across all professional subgroups, including primary care physicians by 12.9% (9.4-16.3; P = 0.003), cardiology fellows-in-training by 10.9% (9.1-12.7; P < 0.001), resident physicians by 14.4% (13.0-15.8; P < 0.001), medical students by 19.9% (16.8-23.0; P < 0.001), advanced practice providers by 17.1% (13.3-21.0; P < 0.001), nurses by 16.2% (13.4-18.9; P < 0.001), allied health professionals by 15% (13.4-16.6; P < 0.001), physicians by 13.2% (12.2-14.3; P < 0.001), and nonphysicians by 15.6% (14.3-17.0; P < 0.001).CEI integration improves ECG interpretation accuracy, efficiency, and confidence among healthcare professionals.

Predictors of ECG Interpretation Proficiency in Healthcare Professionals.

Accurate ECG interpretation is vital, but variations in skills exist among healthcare professionals. This study aims to identify factors contributing to ECG interpretation proficiency. Survey data and ECG interpretation test scores from participants in the EDUCATE Trial were analyzed to identify predictors of performance for 30 sequential 12-lead ECGs. Nonmodifiable factors (being a physician, clinical experience, patient care impact) and modifiable factors (weekly interpretation volume, training hours, expert supervision frequency) were analyzed. Bivariate and multivariate analyses were used to generate a Comprehensive Model (incorporating all factors) and Actionable Model (incorporating modifiable factors only). Among 1206 participants analyzed, there were 72 (6.0%) primary care physicians, 146 (12.1%) cardiology fellows-in-training, 353 (29.3%) resident physicians, 182 (15.1%) medical students, 84 (7.0%) advanced practice providers, 120 (9.9%) nurses, and 249 (20.7%) allied health professionals. Among them, 571 (47.3%) were physicians and 453 (37.6%) were nonphysicians. The average test score was 56.4% ± 17.2%. Bivariate analysis demonstrated significant associations between test scores and >10 weekly ECG interpretations, being a physician, >5 training hours, patient care impact, and expert supervision but not clinical experience. In the Comprehensive Model, independent associations were found with weekly interpretation volume (9.9 score increase; 95% CI, 7.9-11.8; P < 0.001), being a physician (9.0 score increase; 95% CI, 7.2-10.8; P < 0.001), and training hours (5.7 score increase; 95% CI, 3.7-7.6; P < 0.001). In the Actionable Model, scores were independently associated with weekly interpretation volume (12.0 score increase; 95% CI, 10.0-14.0; P < 0.001) and training hours (4.7 score increase; 95% CI, 2.6-6.7; P < 0.001). The Comprehensive and Actionable Models explained 18.7% and 12.3% of the variance in test scores, respectively. Predictors of ECG interpretation proficiency include nonmodifiable factors like physician status and modifiable factors such as training hours and weekly ECG interpretation volume.