Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 262

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Why Are a Quarter of Faculty Considering Leaving Academic Medicine? A Study of Their Perceptions of Institutional Culture and Intentions to Leave at 26 Representative U.S. Medical Schools

Pololi, Linda H., Krupat, Edward, Civian, Janet T., Ash, Arlene S., Brennan, Robert T.·2012·Academic Medicine

Abstract

PURPOSE: Vital, productive faculty are critical to academic medicine, yet studies indicate high dissatisfaction and attrition. The authors sought to identify key personal and cultural factors associated with intentions to leave one's institution and/or academic medicine. METHOD: From 2007 through early 2009, the authors surveyed a stratified random sample of 4,578 full-time faculty from 26 representative U.S. medical schools. The survey asked about advancement, engagement, relationships, diversity and equity, leadership, institutional values and practices, and work-life integration. A two-level, multinomial logit model was used to predict leaving intentions. RESULTS: A total of 2,381 faculty responded (52%); 1,994 provided complete data for analysis. Of these, 1,062 (53%) were female and 475 (24%) were underrepresented minorities in medicine. Faculty valued their work, but 273 (14%) had seriously considered leaving their own institution during the prior year and 421 (21%) had considered leaving academic medicine altogether because of dissatisfaction; an additional 109 (5%) cited personal/family issues and 49 (2%) retirement as reasons to leave. Negative perceptions of the culture-unrelatedness, feeling moral distress at work, and lack of engagement-were associated with leaving for dissatisfaction. Other significant predictors were perceptions of values incongruence, low institutional support, and low self-efficacy. Institutional characteristics and personal variables (e.g., gender) were not predictive. CONCLUSIONS: Findings suggest that academic medicine does not support relatedness and a moral culture for many faculty. If these issues are not addressed, academic health centers may find themselves with dissatisfied faculty looking to go elsewhere.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/acm.0b013e3182582b18

Cites

32 of 32 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 32 references

Cited by

See all 262

Metadata

Authors
Pololi, L. H., Krupat, E., Civian, J. T., Ash, A. S., & Brennan, R. T.
Venue
Academic Medicine
Published
2012-07
Volume
87
Issue
7
Pages
859-869
ISSN
1040-2446 (ISSN-L)
OpenAlex
W2134677227
Cited by
262
References
32
FWCI
41.27
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Why Are a Quarter of Faculty Considering Leaving Academic Medicine? A Study of Their Perceptions of Institutional Culture and Intentions to Leave at 26 Representative U.S. Medical Schools. https://app.cochat.ai/papers/10.1097/acm.0b013e3182582b18
The paper
Pololi, L. H., Krupat, E., Civian, J. T., Ash, A. S., & Brennan, R. T. (2012). Why Are a Quarter of Faculty Considering Leaving Academic Medicine? A Study of Their Perceptions of Institutional Culture and Intentions to Leave at 26 Representative U.S. Medical Schools. Academic Medicine. https://doi.org/10.1097/acm.0b013e3182582b18

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.