The Johns Hopkins Physician-Scientist Training Program to Enhance Institutional Retention and Entry Into Academic Positions: An Evaluation of Program Effectiveness and Outcomes.

PURPOSE: The Johns Hopkins Physician-Scientist Training Program (PSTP) was implemented to overcome well-documented challenges in training and retaining physician-scientists by providing physician-scientist pathway training for residents and clinical fellows. The program's core tenets include monthly seminars, individualized feedback on project proposals, access to mentors, and institutional funding opportunities. This study evaluated the effectiveness and outcomes of the PTSP and provides a framework for replication. METHOD: A query of institutional demographic data and bibliometric variables of the PSTP participants (2017-2020) at a single academic medical center was conducted in 2021. In addition, a voluntary survey collected personal and program evaluation information. RESULTS: Of 145 PSTP scholars, 59 (41%) were women, and 41 (31%), 8 (6%), and 6 (5%) of scholars self-identified as Asian, Hispanic, and Black, respectively. Thirty-three (23%) scholars received PSTP research support or career development microgrants. Of 66 PSTP graduates, 29 (44%) remained at Johns Hopkins as clinical fellows or faculty. Of 48 PSTP graduates in a post-training position, 42 (88%) were in academia, with the majority, 29 (76%), holding the rank of assistant professor. Fifty-nine of 140 available participants responded to the survey (42% response rate). The top-cited reason for joining the PSTP was exposure to mentors and administration (50/58 respondents, 86%), followed by seeking scholarly opportunities (37/58 respondents, 64%). Most scholars intended to continue a career as a physician-scientist. CONCLUSIONS: The PSTP provides internal research support and institutional oversight. Although establishing close mentor-mentee relationships requires individualized approaches, the PSTP provided structured academic pathways that enhanced participating scholars' ability to apply for grants and jobs. The vast majority continued their careers as physician-scientists after training. In light of the national evidence of a "leaky physician-scientist pipeline," programs such as the PSTP can be critical to entry into early academic career positions and institutional retention.

Disparities in Medical School Clerkship Grades Associated with Sex, Race, and Ethnicity: A Person-Centered Approach.

PURPOSE: To determine whether students' self-reported race/ethnicity and sex were associated with grades earned in 7 core clerkships. A person-centered approach was used to group students based on observed clerkship grade patterns. Predictors of group membership and predictive bias by race/ethnicity and sex were investigated. METHOD: Using data from 6 medical student cohorts at Johns Hopkins University School of Medicine (JHUSOM), latent class analysis was used to classify students based on clerkship grades. Multinomial logistic regression was employed to investigate if preclerkship measures and student demographic characteristics predicted clerkship performance-level groups. Marginal effects for United States Medical Licensing Exam (USMLE) Step 1 scores were obtained to assess the predictive validity of the test on group membership by race/ethnicity and sex. Predictive bias was examined by comparing multinomial logistic regression prediction errors across racial/ethnic groups. RESULTS: Three clerkship performance-level groups emerged from the data: low, middle, and high. Significant predictors of group membership were race/ethnicity, sex, and USMLE Step 1 scores. Black or African American students were more likely (odds ratio [OR] = 4.26) to be low performers than White students. Black or African American (OR = 0.08) and Asian students (OR = 0.41) were less likely to be high performers than White students. Female students (OR = 2.51) were more likely to be high performers than male students. Patterns of prediction errors observed across racial/ethnic groups showed predictive bias when using USMLE Step 1 scores to predict clerkship performance-level groups. CONCLUSIONS: Disparities in clerkship grades associated with race/ethnicity were found among JHUSOM students, which persisted after controlling for USMLE Step 1 scores, sex, and other preclerkship performance measures. Differential predictive validity of USMLE Step 1 exam scores and systematic error predictions by race/ethnicity show predictive bias when using USMLE Step 1 scores to predict clerkship performance across racial/ethnic groups.

Medical School Rankings: Time to End or Time to Amend?

ABSTRACT: The recent decisions of several medical schools to no longer participate in the rankings published annually by U.S. News & World Report have added greater visibility to the issues surrounding medical school rankings than ever before. While these announcements garnered significant attention in academic medicine and from the lay public, the authors believe these events are unlikely to eliminate rankings in medical education. In this article, the authors outline the potential harms of rankings in higher education, provide a rationale for why they will likely endure despite recent scrutiny, and offer suggestions for prospective students and the academic medical community to engage with rankings in a more productive way. Criticisms of medical school rankings have been noted for decades, including their use of subjective information and data with questionable relevance to the quality of students' education or the outcomes of their educational experience, methodological concerns, and the potential harms of ranking systems (such as schools diverting their focus and resources away from initiatives that benefit students to improve their ranking). At the same time, rankings are ubiquitous in today's culture and are powerful in human decision-making, so there is reason to believe that medical school rankings may weather the current storm. Given these concerns, the authors suggest students continue to use a variety of resources to obtain information about medical schools and consider how each school fits with their own educational needs. The authors also encourage medical schools, medical education organizations, and governing medical bodies to suggest different metrics that reflect quality in medical education and that are of importance to applicants.

Depression screening tool accuracy individual participant data meta-analyses: data contribution was associated with multiple factors.

OBJECTIVES: To examine the proportion of eligible primary studies that contributed data, study characteristics associated with data contribution, and reasons for noncontribution using diagnostic test accuracy Individual Participant Data Meta-Analysis (IPDMA) data sets from the DEPRESsion Screening Data project. STUDY DESIGN AND SETTING: We reviewed data set contributions from four IPDMAs. A multivariable logistic regression model was fitted to evaluate study factors associated with data contribution. RESULTS: Of 456 eligible studies from four included IPDMAs, 295 (65%) contributed data. More recent year of publication and higher journal impact factor were associated with greater odds of data contribution. Studies conducted in Europe (excluding the United Kingdom), Oceania, Canada, the Middle East, Africa, and Central or South America (reference = the United States), that have recruitment from inpatient care or nonmedical settings (reference = outpatient), that reported screening accuracy results, or that drew negative conclusions (reference = positive conclusions) were more likely to contribute data. Studies of the Geriatric Depression Scale (reference = the Patient Health Questionnaire) or lacking funding information were negatively associated with data contribution. Over 80% of noncontributions were due to authors being unreachable or data being unavailable. CONCLUSION: The study identified factors associated with data contribution that may support future research to promote data contribution to IPDMAs.

Individual participant data meta-analysis to compare EPDS accuracy to detect major depression with and without the self-harm item.

Item 10 of the Edinburgh Postnatal Depression Scale (EPDS) is intended to assess thoughts of intentional self-harm but may also elicit concerns about accidental self-harm. It does not specifically address suicide ideation but, nonetheless, is sometimes used as an indicator of suicidality. The 9-item version of the EPDS (EPDS-9), which omits item 10, is sometimes used in research due to concern about positive endorsements of item 10 and necessary follow-up. We assessed the equivalence of total score correlations and screening accuracy to detect major depression using the EPDS-9 versus full EPDS among pregnant and postpartum women. We searched Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, and Web of Science from database inception to October 3, 2018 for studies that administered the EPDS and conducted diagnostic classification for major depression based on a validated semi-structured or fully structured interview among women aged 18 or older during pregnancy or within 12 months of giving birth. We conducted an individual participant data meta-analysis. We calculated Pearson correlations with 95% prediction interval (PI) between EPDS-9 and full EPDS total scores using a random effects model. Bivariate random-effects models were fitted to assess screening accuracy. Equivalence tests were done by comparing the confidence intervals (CIs) around the pooled sensitivity and specificity differences to the equivalence margin of δ = 0.05. Individual participant data were obtained from 41 eligible studies (10,906 participants, 1407 major depression cases). The correlation between EPDS-9 and full EPDS scores was 0.998 (95% PI 0.991, 0.999). For sensitivity, the EPDS-9 and full EPDS were equivalent for cut-offs 7-12 (difference range - 0.02, 0.01) and the equivalence was indeterminate for cut-offs 13-15 (all differences - 0.04). For specificity, the EPDS-9 and full EPDS were equivalent for all cut-offs (difference range 0.00, 0.01). The EPDS-9 performs similarly to the full EPDS and can be used when there are concerns about the implications of administering EPDS item 10.Trial registration: The original IPDMA was registered in PROSPERO (CRD42015024785).

Comparison of the accuracy of the 7-item HADS Depression subscale and 14-item total HADS for screening for major depression: A systematic review and individual participant data meta-analysis.

The seven-item Hospital Anxiety and Depression Scale Depression subscale (HADS-D) and the total score of the 14-item HADS (HADS-T) are both used for major depression screening. Compared to the HADS-D, the HADS-T includes anxiety items and requires more time to complete. We compared the screening accuracy of the HADS-D and HADS-T for major depression detection. We conducted an individual participant data meta-analysis and fit bivariate random effects models to assess diagnostic accuracy among participants with both HADS-D and HADS-T scores. We identified optimal cutoffs, estimated sensitivity and specificity with 95% confidence intervals, and compared screening accuracy across paired cutoffs via two-stage and individual-level models. We used a 0.05 equivalence margin to assess equivalency in sensitivity and specificity. 20,700 participants (2,285 major depression cases) from 98 studies were included. Cutoffs of ≥7 for the HADS-D (sensitivity 0.79 [0.75, 0.83], specificity 0.78 [0.75, 0.80]) and ≥15 for the HADS-T (sensitivity 0.79 [0.76, 0.82], specificity 0.81 [0.78, 0.83]) minimized the distance to the top-left corner of the receiver operating characteristic curve. Across all sets of paired cutoffs evaluated, differences of sensitivity between HADS-T and HADS-D ranged from -0.05 to 0.01 (0.00 at paired optimal cutoffs), and differences of specificity were within 0.03 for all cutoffs (0.02-0.03). The pattern was similar among outpatients, although the HADS-T was slightly (not nonequivalently) more specific among inpatients. The accuracy of HADS-T was equivalent to the HADS-D for detecting major depression. In most settings, the shorter HADS-D would be preferred. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Observation tool to measure patient-centered behaviors on rounds in an academic medical center.

OBJECTIVE: As part of a quality improvement project, we developed and employed an observation checklist to measure patient-centered behaviors during daily rounds to assess the frequency of patient-centered behaviors among a patient-centered care (PCC) team and standard team (ST) rounds. PATIENTS AND METHODS: On four general medicine service (GMS) teaching teams at an urban academic medical center in which housestaff rotate, we utilized an observation checklist to assess the occurrence of eight behaviors on inpatient daily rounds. The checklist covered domains of patient-centered communication, etiquette-based behaviors, and shared decision-making. One GMS team is guided by a PCC curriculum that emphasizes patient-centered communication strategies, but not specifically behaviors during bedside rounds. RESULTS: Between August 2018 and May 2019 a trained observer completed 448 observations of patient rounding encounters using the checklist. Across all teams, 46.0% of the 8 behaviors were performed when possible, with more done on the PCC team (58.0%) than ST (42.0%), p < 0.01. CONCLUSIONS: Performance of patient-centered behaviors during daily rounds was low overall. Despite having no specific instruction on daily rounds, patient-centered behaviors were more frequent among the teams which were part of a PCC curriculum. However, the frequency of observed behaviors was modest, suggesting that more explicit efforts to change rounding behaviors are needed. Our observational checklist may be a tool to assist in future interventions to improve patient-centered behaviors on daily rounds.

External validation of a shortened screening tool using individual participant data meta-analysis: A case study of the Patient Health Questionnaire-Dep-4.

Shortened versions of self-reported questionnaires may be used to reduce respondent burden. When shortened screening tools are used, it is desirable to maintain equivalent diagnostic accuracy to full-length forms. This manuscript presents a case study that illustrates how external data and individual participant data meta-analysis can be used to assess the equivalence in diagnostic accuracy between a shortened and full-length form. This case study compares the Patient Health Questionnaire-9 (PHQ-9) and a 4-item shortened version (PHQ-Dep-4) that was previously developed using optimal test assembly methods. Using a large database of 75 primary studies (34,698 participants, 3,392 major depression cases), we evaluated whether the PHQ-Dep-4 cutoff of ≥ 4 maintained equivalent diagnostic accuracy to a PHQ-9 cutoff of ≥ 10. Using this external validation dataset, a PHQ-Dep-4 cutoff of ≥ 4 maximized the sum of sensitivity and specificity, with a sensitivity of 0.88 (95% CI 0.81, 0.93), 0.68 (95% CI 0.56, 0.78), and 0.80 (95% CI 0.73, 0.85) for the semi-structured, fully structured, and MINI reference standard categories, respectively, and a specificity of 0.79 (95% CI 0.74, 0.83), 0.85 (95% CI 0.78, 0.90), and 0.83 (95% CI 0.80, 0.86) for the semi-structured, fully structured, and MINI reference standard categories, respectively. While equivalence with a PHQ-9 cutoff of ≥ 10 was not established, we found the sensitivity of the PHQ-Dep-4 to be non-inferior to that of the PHQ-9, and the specificity of the PHQ-Dep-4 to be marginally smaller than the PHQ-9.

Delivering Personalized Care at a Distance: How Telemedicine Can Foster Getting to Know the Patient as a Person.

The promise of precision medicine is based on the use of new technologies to better characterize patients by defining individuals in the areas of genomics, proteomics, metabolomics and other aspects of biologic variability. Wise application of modern technology can similarly transform health visits with patients, allowing for better characterization of the patient's individual life circumstances than possible in a traditional office visit. The use of, and experience with, telemedicine have increased significantly during the COVID-19 pandemic. Patients and clinicians report high satisfaction with telemedicine, and the quality of communication and patient-centeredness experienced in this setting are both rated highly. In this article, we explore the benefits offered by telemedicine in facilitating personalized care with particular focus on telemedicine delivered by video platforms. We propose strategies and skills specific to the effective implementation of personalized telemedicine, drawing on literature in patient-centered communication and home visits. While traditional in-person office visits continue to offer important opportunities such as thorough physical examination and the potential for enhanced non-verbal communication, telemedicine offers many important advantages that can facilitate the process of getting to know the patient as a person.

Racial differences in platelet serotonin polymorphisms in acute coronary syndrome.

INTRODUCTION: Genetic differences between races have been hypothesized to contribute to differences in outcome from acute coronary syndromes (ACS). Our objective was to assess racial differences in genetic variations in the platelet serotonin transporter (5HTT) and receptor in patients with ACS. MATERIALS AND METHODS: 127 consecutive patients, African Americans (AA) = 27; Caucasian (C) =100, admitted with ACS were evaluated for platelet function by serotonin (5HT) induced platelet activation. All patients were genotyped for two polymorphisms in the serotonin-transporter-linked polymorphic region (5-HTTLPR) S/L and LG/LA and one polymorphism of the serotonin 2A receptor (5-HT2A, T102C) gene. All patients were followed for major and minor adverse cardiac events at 12 months. RESULTS: AA when compared to C had a lower prevalence of the HTTLPR S allele (21% vs 45%, p = 0.0003) and a higher prevalence of the LG allele (24% vs 4.5%, p = 0.0001). Allelic frequency of the 5-HT2A T102C allele was not significantly different between the races. Platelet activation was lower in AA compared to C, median EC50 5HT was 12.08 µg vs 2.14 µg (p = 0.001). The 5-HTTLPR and the 5-HT2A polymorphisms were not associated with platelet functional responses to serotonin. There were no significant differences in major or minor adverse cardiac events in patients with serotonin transporter or receptor polymorphisms. CONCLUSION: We found a lower prevalence of the S allele and a higher prevalence of the G allele in AA with ACS. We also found decreased platelet activation in AA which did not correlate with serotonin-related platelet polymorphisms. It is unclear if other contributing factors may explain these platelet functional differences.

Depression prevalence based on the Edinburgh Postnatal Depression Scale compared to Structured Clinical Interview for DSM DIsorders classification: Systematic review and individual participant data meta-analysis.

OBJECTIVES: Estimates of depression prevalence in pregnancy and postpartum are based on the Edinburgh Postnatal Depression Scale (EPDS) more than on any other method. We aimed to determine if any EPDS cutoff can accurately and consistently estimate depression prevalence in individual studies. METHODS: We analyzed datasets that compared EPDS scores to Structured Clinical Interview for DSM (SCID) major depression status. Random-effects meta-analysis was used to compare prevalence with EPDS cutoffs versus the SCID. RESULTS: Seven thousand three hundred and fifteen participants (1017 SCID major depression) from 29 primary studies were included. For EPDS cutoffs used to estimate prevalence in recent studies (≥9 to ≥14), pooled prevalence estimates ranged from 27.8% (95% CI: 22.0%-34.5%) for EPDS ≥ 9 to 9.0% (95% CI: 6.8%-11.9%) for EPDS ≥ 14; pooled SCID major depression prevalence was 9.0% (95% CI: 6.5%-12.3%). EPDS ≥14 provided pooled prevalence closest to SCID-based prevalence but differed from SCID prevalence in individual studies by a mean absolute difference of 5.1% (95% prediction interval: -13.7%, 12.3%). CONCLUSION: EPDS ≥14 approximated SCID-based prevalence overall, but considerable heterogeneity in individual studies is a barrier to using it for prevalence estimation.