Clinicians' Empathy and Professional Quality of Life
Bibliographic record
Abstract
Psychotherapists can experience emotional drain as a result of their work with distressed and traumatized patients. It has been suggested that psychotherapists' empathy, which is central to clinical work, may be an important risk factor in the development of burnout or secondary traumatic stress. This apparent contradiction is thought provoking, especially given the complexity of empathic response. The current study aimed to explore the relationship of empathy to compassion satisfaction, burnout, and secondary traumatic stress, while also considering the influence of important work conditions. To do so, 240 psychotherapists described their current practice and reported their levels of empathy and their professional quality of life. Results revealed various relationships between dimensions of empathy and professional quality of life, and the moderating role of empathy regarding the impact of work conditions on professional quality of life. Results highlight the importance of a multidimensional assessment of empathy and the importance of different training and supervision strategies that could help psychotherapists to be more resilient in their work.
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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 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".