The emergence of personal growth amongst healthcare professionals who care for dying children
Bibliographic record
Abstract
ABSTRACTObjective:Compassion fatigue, burnout, and vicarious traumatization are prominent topics in the current literature on the impact of the rewarding but challenging work of healthcare professionals who care for patients with life-limiting illnesses. The positive effects of caregiving constitute a newly emerging outcome that has been relatively unexplored in the pediatric literature, and yet they may play an important role in contributing to the satisfaction and well-being of the healthcare professionals who care for children who have a life-limiting illness. METHOD: This paper reports the results of a secondary analysis of qualitative interview transcripts that explored the experiences of hospital-based pediatric healthcare providers caring for children with varied life-limiting illnesses. In-depth qualitative interviews were conducted with 25 healthcare professionals (9 social workers, 8 nurses, and 8 physicians). The majority of participants were women (80%), with an age range between 20 and 60 years, and most (84%) had the experience of caring for more than 15 dying children. Thematic analysis was conducted using interpretive description and constant comparison. RESULTS: Every healthcare professional interviewed experienced personal growth as a result of their providing care for dying children. Three dimensions of personal growth were most consistently reported: (1) new or altered life perspectives, (2) enhanced personal resources, and (3) benevolence. SIGNIFICANCE OF RESULTS: A deeper understanding of the phenomenon of personal growth could help healthcare organizations to implement innovative approaches that would counterbalance compassion fatigue, and thereby enhance both healthcare provider well-being and child and family outcomes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".