Tragedy or transformation? Online survey of nurse spirituality during the COVID pandemic
Bibliographic record
Abstract
AIM: To describe positive and negative spiritual responses to providing COVID-related nursing care among nurses working in hospitals. BACKGROUND: The COVID pandemic has intensified and publicised the threats to nurse well-being. Absent from the recommendations for promoting nurse well-being is recognition of how nurses' spirituality and/or religiosity is affected by the strain of COVID caring or how it may be affecting their well-being. DESIGN: Cross-sectional, descriptive observational, mixed methods study. METHODS: Data were collected from 523 registered nurses employed in three Southern California hospitals during March-May, 2022 when these hospitals' COVID case counts were <15%. Using Online survey methods, data were obtained using the Religious/Spiritual Struggles Scale-Short Form, Moral Injury Symptom Scale-Healthcare Professionals, Post-traumatic Growth Inventory and demographic and work-related items. STROBE guidelines for cross-sectional observational studies were observed. RESULTS: The mean for religious/spiritual struggles was 1.98 (range of 1-5, comparable to a little bit). Although roughly half of the sample reported the struggles were not experienced/did not apply, 23%-36.5% reported experiencing these struggles at least somewhat. The most frequent struggle was to find ultimate meaning. The mean observed for moral injury was 6.5 (range of 1-10); applying established criteria indicated it was troubling for at least 50%. The mean for post-traumatic growth was 4 (on a scale of 0-6); using established criteria, 41% experienced PTG. Quantitative findings were illustrated by the qualitative responses that occasionally expressed spiritual tragedy and transformation concurrently. CONCLUSION: The professional work of nursing impacts nurses in invisible, spiritual ways that can be tragic and/or transformative. RELEVANCE TO CLINICAL PRACTICE: Interventions to address nurses' mental health challenges must include attention to these invisible struggles. Nurses' mental health challenges must be met in part by addressing how they can surmount spiritual tragedy-and allow spiritual transformation.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".