Resilience in home and community care registered practical nurses: a scoping review
Bibliographic record
Abstract
Critical nursing shortages and experiences of burnout present a significant challenge in the home and community care (HCC) health sector. Determining what factors influence resiliency could inform HCC organizations in developing recruitment and retention resources and strategies. This scoping review identified factors that influence professional resilience in nurses working in the HCC sector. From 1819 documents identified from database searches, using a librarian-informed strategy, eight articles were included. Two domains emerged for HCC nurses, that is, i) professional and work-related characteristics of being resilient; and ii) strategies to promote professional nurse resilience. One domain emerged addressing organizational infrastructure, policy and practices contributing to professional nurse resilience in the HCC sector. The findings revealed that resiliency in HCC nurses extends beyond individual characteristics as nurse professionals, and their personal "self-care" strategies as individual people. Further research is needed to disentangle personal and professional resilience in nurses working in the HCC sector.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".