The influence of leadership practices and empowerment on Canadian nurse manager outcomes
Bibliographic record
Abstract
AIM: To examine the influence of senior nurse leadership practices on middle and first-line nurse managers' experiences of empowerment and organizational support and ultimately on their perceptions of patient care quality and turnover intentions. BACKGROUND: Empowering leadership has played an important role in staff nurse retention but there is limited research to explain the mechanisms by which leadership influences nurse managers' turnover intentions. METHODS: This study was a secondary analysis of data collected using non-experimental, predictive mailed survey design. Data from 231 middle and 788 first-line Canadian acute care managers was used to test the hypothesized model using path analysis in each group. RESULTS: The results showed an adequate fit of the hypothesized model in both groups but with an added path between leadership practices and support in the middle line group. CONCLUSIONS: Transformational leadership practices of senior nurses empower middle- and first-line nurse managers, leading to increased perceptions of organizational support, quality care and decreased intent to leave. IMPLICATIONS FOR NURSING MANAGEMENT: Empowered nurse managers at all levels who feel supported by their organizations are more likely to stay in their roles, remain committed to achieving quality patient care and act as influential role models for potential future leaders.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".