Enhancing Staffing Stability in Long-Term Care
Bibliographic record
Abstract
BACKGROUND: Challenges to recruit and retain nurses and personal support workers (PSWs) within the long-term care (LTC) sector is a significant problem. PURPOSE: The purpose of this study was to describe elements of recruitment and retention from staff perspectives. METHODS: Secondary analysis of survey data (n = 93) was conducted utilizing data collected from nurses and PSWs from 4 LTC homes. Open-ended responses were summarized, coded, and analyzed thematically. RESULTS: Findings indicated that nearly a quarter of participants (24.7%) had no intention to stay in their current job. Three key themes emerged as organizational factors for staffing stability including resident care as a top priority, rebuilding a healthy workplace, and open communication and professional development. CONCLUSION: The growing focus on recruitment and retention in LTC reflects its prevalence. It is therefore important to understand staff perspectives related to organizational factors that may impact staffing stability efforts, and ultimately resident care.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".