Evidence map›Paper›PMID 39764336›Full record

ArticleCureus2024

Job Satisfaction Among Graduate Medical Education Trainees.

George W Koutsouras, Jamie Romeiser, Danielle A Katz

Abstract read
In one paragraph

Article in Cureus, 2024. 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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

3 authors.

George W KoutsourasNeurosurgery, Upstate University Hospital, Syracuse, USA.
Jamie RomeiserPublic Health and Preventive Medicine, State University of New York Upstate Medical University, Syracuse, USA.
Danielle A KatzGraduate Medical Education, Upstate University Hospital, Syracuse, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Burnout among medical residents and fellows (postgraduate trainees) has been receiving significant attention in the scientific literature with far less focus on the factors that correlate with job satisfaction and well-being. A better understanding of the characteristics that increase job satisfaction (rather than just those that lead to burnout) may allow programs to develop and enhance those positive features, conceivably leading to improved mental health, retention, and recruitment. We hypothesize that job satisfaction among postgraduate trainees is positively impacted by feeling that their work is meaningful, that their work schedules are equitable, and that they are appreciated by their faculty. A cross-sectional 28-item questionnaire was sent to 613 residents and fellows in a single institution to measure multiple items with relevance to job satisfaction, happiness, well-being, meaning, and burnout. Correlative, bivariate, and multivariable regression analyses were used to assess for factors associated with these elements, and a composite summary score of them. Feeling appreciated by faculty and satisfaction with time outside of work also were associated with different elements of job satisfaction and well-being. Burnout was negatively associated with satisfaction, and, in a composite model, burnout was significantly moderated by satisfaction with opportunities for growth. The authors identified factors that correlate with job satisfaction among a representative sample of postgraduate trainees at an academic institution. These elements may be used to guide efforts to support job satisfaction and the well-being of residents and fellows.

Indexed as

burnoutgraduate medical educationjob satisfactionprimary surveysurveywellness

Identifiers

PMID39764336
PMCPMC11701866

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.