Gender differences in emergency medicine resident assessment: A scoping review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Growing literature within postgraduate medical education demonstrates that female resident physicians experience gender bias throughout their training and future careers. This scoping review aims to describe the current body of literature on gender differences in emergency medicine (EM) resident assessment. Methods: We conducted a scoping review which adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. We included research involving resident physicians or fellows in EM (population and context), which focused on the impact of gender on assessments (concept). We searched seven databases from the databases' inception to April 4, 2022. Two reviewers independently screened citations, completed full-text review, and abstracted data. A third reviewer resolved any discrepancies. Results: A total of 667 unique citations were identified; 10 studies were included, and all were conducted within the United States. Four studies reported differences in EM resident assessments attributable to gender within workplace-based assessments (qualitative comments and quantitative scores) by both attending physicians and nonphysicians. Six studies investigating clinical competency committee scores, procedural scores, and simulation-based assessments did not report any significant differences attributable to gender. Conclusions: This scoping review found that gender bias exists within EM resident assessment most notably at the level of narrative comments typically received via workplace-based assessments. As female EM residents receive higher rates of negative or critical comments and discordant feedback documented on assessment, these findings raise concern about added barriers female EM residents may face while progressing through residency and the impact on their clinical and professional development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it