The efficacy of employee assistance programs on nurses’ perceived job satisfaction: An integrative review
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
This integrative review examined the efficacy of workplace support programs on nurses’ job satisfaction. A comprehensive analysis of 33 studies revealed a positive correlation between workplace support and nurses’ job satisfaction, quality of care, and psychological well-being. Various research designs were employed, focusing on descriptive and cross-sectional approaches. Notably, discrepancies in methodology, statistical tests, and data analysis methods were observed across the studies, highlighting the need for standardization and transparency in reporting. This review emphasized the critical role of establishing support systems to enhance nurses’ resilience during stressful situations. The lack of longitudinal studies was identified as a limitation, impacting the generalizability and causality inference of the findings. Recommendations for future research included methodological standardization through consistent use of research designs like longitudinal studies to strengthen evidence of causality and facilitate meta-analyses. Addressing the limitations identified in the current literature through methodological improvements was emphasized as being essential to enhance the rigor and impact of future integrative reviews on workplace support programs and their effects on nurses’ well-being.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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