An exploration of the experience of compassion fatigue in clinical oncology nurses
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Compassion fatigue (CF) is "debilitating weariness brought about by repetitive, empathic responses to the pain and suffering of others" (LaRowe, 2005, p. 21). The work performed by oncology nurses, and the experiences of the people they care for, place oncology nurses at high risk for CF (Pierce et al., 2007; Ferrell & Coyle, 2008). Thus oncology nurses were chosen as the study focus. This paper details a descriptive exploratory qualitative research study that investigated the experience of CF in Canadian clinical oncology registered nurses (RNs). A conceptual stress process model by Aneshensel, Pearlin, Mullan, Zarit, and Whitlatch (1995) that considers caregivers' stress in four domains provided the study framework (see Figure 1). Nineteen study participants were recruited through an advertisement in the Canadian Oncology Nursing Journal (CONJ). The advertisement directed potential participants to a university-based online website developed for this study. Participants completed a questionnaire and wrote a narrative describing an experience with CF and submitted these through the secure research website. Data were analyzed thematically. Five themes include: defining CF, causes of CF, factors that worsen CF, factors that lessen CF, and outcomes of CF. Participants had limited knowledge about CF, about lack of external support, and that insufficient time to provide high quality, care may precipitate CF. The gap between quality of care nurses wanted to provide and what they were able to do, compounded by coexisting physical and emotional stress, worsened CF. CF was lessened by colleague support, work-life balance, connecting with others, acknowledgement, and maturity and experience. Outcomes of CF included profound fatigue of mind and body, negative effects on personal relationships, and considering leaving the specialty. Recommendations that may enhance oncology nurse well-being are provided.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it