Effets de la pleine conscience sur l’empathie, les compétences émotionnelles, le cortisol capillaire, et le stress psychologique des soignants en hémato-oncologie pédiatrique
Bibliographic record
Abstract
The healthcare profession requires a variety of professional skills to provide effective clinical care. Empathy underlies professional caregivers’ skills and is essential to a harmonious therapeutic relationship. Empathy has been linked to improved patient health outcomes and better patient satisfaction. However, extended empathic contact with patients’ suffering makes professional caregivers more vulnerable to emotional exhaustion if they are unable to properly regulate their emotions. Professionals working in pediatric oncology face chronic stress that can affect their empathic skills and the quality of the professional-patient relationship. Prolonged chronic stress can manifest itself physiologically and influence professionals’ cortisol levels. It is therefore essential that professional caregivers learn adequate emotional regulation strategies. In this context, three emotional competencies appear essential: identifying one’s own emotions, identifying others’ emotions, and accepting one’s emotions. These emotional competencies could be developed by mindfulness-based interventions such as the Mindfulness-Based Stress Reduction (MBSR) program. The overall objective of this thesis is to evaluate the effects of an MBSR-based stress reduction program on empathy, emotional competencies, hair cortisol, and psychological stress in professional caregivers working in pediatric hematology-oncology. This thesis is composed of three articles. The first article presents a systematic literature review aimed at identifying the range of outcomes measured in studies on the effects of MBSR on professional caregivers, assessing the impact of MBSR on these outcomes, and determining if MBSR has an impact on empathy and emotional skills. The second article aims to evaluate the feasibility and acceptability of an MBSR-based intervention, as well as to evaluate changes in empathy (perspective taking and empathic concern) and emotional competencies (identifying one’s own emotions, identifying emotions in others, and accepting one’s emotions). Two pre-post studies were conducted with psychology students (n = 12) and professionals working in pediatric hematology-oncology (n = 25). The intervention was feasible and acceptable, and significant improvements were observed on all measures except the empathic concern and the identification of others’ emotions. Finally, the third article aims to identify changes in hair cortisol, perceived stress, psychological distress, and burnout. No changes were observed in hair cortisol levels, but significant changes were observed in perceived stress, psychological distress, and burnout. These encouraging results justify moving towards efficacy trials.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".