Impact of participation in continuing medical education small group learning (CME-SGL) on the stress, morale, and professional isolation of rurally-based GPs: a qualitative study in Ireland
Bibliographic record
Abstract
BACKGROUND: The pressures of general practice contribute to high levels of stress, low morale, and burnout in some GPs. In addition, rurally-based doctors may experience significant professional isolation. Participation in continuing medical education (CME) appears to reduce stress, and may improve the retention of rural GPs. AIM: As part of a larger study devised to examine the effectiveness of regular participation in CME small group learning (SGL) on rurally-based Irish GPs, this study explored whether CME-SGL had any impact on GP stress, morale, and professional isolation. DESIGN & SETTING: This was a qualitative study involving four CME-SGL groups based in rural Ireland. METHOD: Semi-structured focus group interviews were conducted in established CME-SGL groups in four different rural geographical locations. Interviews were audiorecorded, transcribed verbatim, and analysed thematically. RESULTS: = 43) consented to interview. These GPs reported that regular meetings with an established group of trusted colleagues who are 'in the same boat' provided a 'safe space' for discussion of, and reflection on, both clinical concerns and personal worries. This interaction in a supportive, non-threatening atmosphere helped to relieve stress, lift morale, and boost self-confidence. The social aspect of CME-SGL sustained these rural GPs, and served to alleviate their sense of professional isolation. CONCLUSION: Delivery of CME through locally-based SGL provides as an important means of supporting GPs working in rural areas. The non-educational benefits of CME-SGL, as described by these Irish GPs, are of relevance for rural doctors in other countries.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; a candidate call from one teacher head, not a consensus.
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".