Exploring the Interprofessional Contributions of Spiritual Health Practitioners to Prevent Compassion Fatigue in Nurses
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Few studies in academic literature involve the application of a spiritual health intervention for the purpose of mitigating compassion fatigue in nurses. OBJECTIVES: The purpose of this qualitative study was to explore the perspectives of Canadian spiritual health practitioners (SHPs) in their support for nurses to prevent compassion fatigue. METHOD: Interpretive description was utilized for this research study. Sixty-minute interviews with 7 individual SHPs were conducted. Data were analyzed with NVivo 12 software (QSR International, Burlington, Massachusetts). Thematic analysis identified common themes that allowed data from interviews, a pilot project on psychological debriefing, and a literature search to be compared, contrasted, and compiled. RESULTS: The 3 main themes were found. The first theme highlighted the underlying issue of how spirituality is ranked or viewed within health care and the impact of leadership integrating spirituality in their practice. The second theme related to SHPs' perception of nurses' compassion fatigue and lack of connection to spirituality. The final theme explored the nature of SHP support to mitigate compassion fatigue before and during the COVID-19 pandemic. DISCUSSION: Spiritual health practitioners are positioned in a unique role to be facilitators of connectedness. They are professionally trained to provide a type of in situ nurturing for patients and health care staff through spiritual assessments, pastoral counseling, and psychotherapy. The COVID-19 pandemic has revealed an underlying desire for in situ nurturing and connectedness in nurses due to an increase in existential questioning, unusual patient circumstances, and social isolation leading to disconnectedness. Organizational spiritual values are recommended to be exemplified by those in leadership to create holistic, sustainable work environments.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it