Evidence map›Paper›PMID 41937139›Full record

ArticleBMC medical education2026

Prevalence of professional fulfillment, and intention to leave and its risk factors among academic physicians at Ain Shams University, Egypt.

Dina Abbas Mohamed AbdelRahman, Manar Mohamed Ellaban

Abstract read
In one paragraph

Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Dina Abbas Mohamed AbdelRahmanDepartment of Community, Environmental and Occupational Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt. dinaabbas@med.asu.edu.eg.
Manar Mohamed EllabanDepartment of Community, Environmental and Occupational Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysician turnover is a big burden on health care system and is a real risk on it. Burnout and dissatisfaction among physicians increasingly threaten workforce stability, turnover intentions, and healthcare quality, particularly in academic settings. This study measured prevalence of burnout, professional fulfillment (PF), and intention to leave (ITL) among academic physicians at Ain Shams University and identifying ITL predictors. METHODOLOGY: In this cross-sectional study (n = 260), data on sociodemographic, Professional Fulfillment Index (PFI) subscales (burnout/PF), single-item ITL, and contributing factors were collected via electronic survey. Bivariate (t-tests/Chi-square) and multivariate stepwise logistic regression (SPSS v24; p < 0.05) analyses identified predictors.

resultsPF was low (3.8%), burnout high (70%), and moderate-to-high ITL prevalent (63%). Multivariate analysis showed low PF (aOR = 0.04, 95% CI: 0.003–0.45, p = 0.007) and burnout (aOR = 2.04, 95% CI: 1.4–2.9, p = 0.001) as independent ITL predictors. Common factors included work pressures, poor alignment, and lack of recognition.

conclusionsSubstantial burnout and low PF among academic physicians associate with elevated ITL after adjustment, signaling workforce risks. Institutional efforts to improve work conditions and support are warranted, with longitudinal studies needed to assess causality.

Indexed as

Burnout, ProfessionalFaculty, MedicalIntentionJob SatisfactionPersonnel TurnoverPhysiciansAcademiaAdultCross-Sectional StudiesEgyptFemaleHumansMalePrevalenceRisk FactorsSurveys and QuestionnairesBurnout, ProfessionalEgyptIntention to LeavePhysiciansUniversities

Identifiers

PMID41937139
PMCPMC13091271

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.