Leadership and Faculty Burnout in Allied Healthcare Education: A Scoping Review
Bibliographic record
Abstract
Background: Faculty burnout in allied healthcare education institutions represents a significant challenge with implications for educational quality, organizational effectiveness, and healthcare workforce development. This scoping review aims to map the existing literature on the relationships between leadership approaches, faculty personality factors, and burnout within allied healthcare education, while examining digital competence as a potential moderating factor. Methods: This scoping review followed the PRISMA-ScR guidelines. Five electronic databases (MEDLINE, CINAHL, ERIC, PsycINFO, and Web of Science) were searched for relevant studies published between 2010 and 2024. Studies examining burnout among allied healthcare educators in relation to leadership, personality traits, or digital competence were included. Data extraction captured study characteristics, methodological approaches, key findings, and theoretical frameworks. Quality assessment was conducted using the Mixed Methods Appraisal Tool. Results: Sixteen studies met the inclusion criteria. Existing research indicates significant relationships between leadership styles and faculty burnout rates, with transformational leadership consistently associated with lower burnout scores. The literature reveals that individual personality traits demonstrate significant relationships with burnout vulnerability, with emotional stability and extraversion showing the strongest protective effects. Limited research has examined digital competence in relation to burnout, though emerging evidence suggests it may function as a moderating factor. Significant gaps exist in non-Western contexts and in understanding interaction effects between leadership, personality, and digital competence. Conclusions: The current literature supports the importance of leadership approaches that emphasize collaboration, faculty autonomy, recognition, and professional development opportunities in protecting against burnout in allied healthcare education settings. Digital competence represents a promising but understudied job resource that may mitigate burnout effects. Future research should explore cross-cultural variations, interaction effects between personal and organizational factors, and the effectiveness of interventions in reducing faculty burnout.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".