ArticleAEM education and training2022
How we compare: Society for Academic Emergency Medicine faculty membership demographics.
Article in AEM education and training, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- The influence of emergency physician gender on patient experience surveys.The American journal of emergency medicine · 2026Article
- Characteristics and Educational Support Resources Available to Emergency Medicine Core Faculty: A National Survey.The western journal of emergency medicine · 2025Article
- Estimating the size and scope of the academic emergency physician workforce.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2024Article
- FOAM authorship: Who's teaching our learners?AEM education and training · 2024Article
- How we compare: Society for Academic Emergency Medicine faculty membership demographics.AEM education and training · 2022Article
- Current Diagnostic Approaches and Challenges in the General Emergency Department Evaluation of Suspected Pediatric Appendicitis: A Qualitative Study.MDM policy & practiceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Background: The Society for Academic Emergency Medicine (SAEM) has a core value to promote a diverse workforce for patients, providers, and learners. Understanding the organization's membership demographics and how that compares to the academic emergency medicine (EM) workforce is prerequisite to the success of this core value. Methods: We obtained 2020 faculty membership data sets from the Association of American Medical Colleges (AAMC) and SAEM; data included self-reported sex, race and ethnicity, and academic rank (professor, associate professor, assistant professor, and instructor). We employed standardized mean difference (SMD) to quantify difference in proportions between data sets. Results: We identified 5874 (AAMC) and 2785 (SAEM) faculty. The AAMC (38.3%) and the SAEM (41.3%) had similar proportions of overall female faculty (SMD 0.063) although SAEM (compared to AAMC) had a higher proportion of female full (25.5% vs. 20.5%, SMD 0.121) and assistant (46.5% vs. 41.2%, SMD 0.106) professors. With the exception of Hispanic instructors, SAEM (compared to AAMC) also had higher proportions of Black and Hispanic female faculty at all ranks (SMD ranging from 0.109 to 0.777). Conclusion: SAEM faculty demographics generally reflect that of the academic EM workforce demographics reported in the AAMC database and that overall, the proportions of female, Black, and Hispanic faculty in SAEM are slightly larger than those in the AAMC database. However, faculty who identify as Black or Hispanic in both the AAMC and the SAEM databases (compared to the overall U.S. population) are dramatically underrepresented.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.