Exploring effective learning sessions to enhance self-awareness and promote interest in self-care among medical professionals
Bibliographic record
Abstract
Background
 Self-awareness among medical professionals is becoming more important. However, it is difficult to practice self-awareness unless consciously. We held in-hospital learning sessions to enhance self-awareness and to support self-care of medical professionals. The session introduced mindfulness, meditation, and self-care from the perspectives of "psychological safety" and "end-of-life care."
 Objective
 To investigate the effects of sessions based on participants' reactions.
 Methods
 A self-administered questionnaire was distributed to 128 medical professionals who participated in the sessions, and the free description was analyzed according to the qualitative coding procedure.
 Results
 As a result of analyzing the contents of 97 entries described in the free description of the questionnaire. Six categories were generated in the end: Stressful experience, Active practice of meditation, The need for self-care, Knowledge of mindfulness, Healing through narrative, Self-awareness through the learning session.
 Discussion
 Stressful experience about "psychological safety" and "end-of-life care" were narrated. We found that they are receptive to mindfulness, meditation, and self-care, and want to actively incorporate it. The experience of self-awareness was enhanced through the learning sessions. Introducing meditation, mindfulness, and self-care as methods of coping with specific stresses in clinical settings was effective in enhancing self-awareness among medical professionals.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".