ArticleJournal of healthcare leadership2020
Characteristics of Faculty at Risk of Leaving Their Medical Schools: An Analysis of the StandPoint™ Faculty Engagement Survey.
Article in Journal of healthcare leadership, 2020. 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.
- Factors Associated with Burnout, Low Professional Fulfillment, and Intention to Leave Among Biomedical Research Faculty.Journal of occupational and environmental medicine · 2026Article
- Sense of Belonging and Intent to Leave Among Medical School Faculty.JAMA network open · 2025Article
- Physician turnover rates and job stability in interventional spine and pain practices: Results of an IPSIS survey study.Interventional pain medicine · 2024Review
- Workplace Belonging of Women Healthcare Professionals Relates to Likelihood of Leaving.Journal of healthcare leadership · 2023Article
- Pediatric Faculty Engagement and Associated Areas of Worklife After a COVID19 Surge.Journal of healthcare leadership · 2023Article
- Value, Support, and Advancement: An Organization's Role in Faculty Career Intentions in Academic Medicine.Journal of healthcare leadership · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study seeks to identify the characteristics and attitudes of faculty in US medical colleges who are at risk of leaving their institution.
methodsThis research leverages data from the AAMC StandPoint Faculty Engagement Survey administered to 37,779 faculty representing 36 institutions participating during 2013-2016. Univariate and multivariable robust logistic regression models were used to assess predictors of the intent to leave based on the question: "Do you plan to leave this medical school in the next 1-2 years?".
resultsThirty percent (n=5559/18,475) of faculty responded that they were considering leaving their institution. Thirty-one percent of female faculty vs 29% of male faculty expressed an intent to leave. At-risk faculty were likely to be at junior faculty rank and at their institutions for 6-15 years vs other time periods (OR=1.16; p≤0.001). Having an administrative title (OR=0.72; p≤0.001) and receiving formal mentorship (OR=0.65; p≤0.001) were protective. Finally, faculty answering "disagree" or "strongly disagree" to any one of these StandPoint Survey questions were at > 6 fold risk of expressing an intent to leave: 1) I am satisfied with my opportunities for professional development, 2) I feel appreciated by my supervisor, 3) My day-to-day activities give me a sense of accomplishment.
conclusionFaculty expressing an intent to leave their institution have an identifiable profile. Top concerns of at-risk faculty relate to supervisory relationships and growth opportunities rather than compensation or governance. Institutional leaders should consider these factors in the development of a proactive strategy to retain talented faculty.
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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.