The Intergenerational Impact of Management Relations on Nurse Career Satisfaction and Patient Care
Bibliographic record
Abstract
OBJECTIVE: This article provides insights into the role of management relations on nurses' career satisfaction across different career stages. BACKGROUND: Managers and positive relations with staff are critical to improving job satisfaction, career development, and retention for new graduates to mid- to late-career nurses. METHODS: Using a descriptive qualitative approach, we conducted a thematic analysis of 18 focus groups held in 8 Canadian provinces with 185 student, early-career, and mid- to late-career nurse participants. RESULTS: Student participants expressed the need for a supportive environment to enable successful transition to practice. Early-career nurses expected effective leadership at the unit level, effective communication, and positive working relationships to enable best care outcomes. Mid- to late-career nurses were most dissatisfied with management interactions and relationships. CONCLUSIONS: Management relations are important across all career stages, affecting patient care and job satisfaction. Findings provide insight into how nurse-manager relations can be enhanced from new graduate support to guidance in career development and ongoing recognition and respect for nurses throughout their careers.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".