Retaining Nurses and Other Hospital Workers: An Intergenerational Perspective of the Work Climate
Bibliographic record
Abstract
PURPOSE: This article describes and compares work climate perceptions and intentions to quit among three generations of hospital workers and nurses. BACKGROUND: Never before in history has the workplace comprised such a span of generations. The current workforce includes three main generations: Baby Boomers (born between 1946 and 1963), Generation X (born between 1964 and 1980), and Generation Y (born between 1981 and 2000). However, very little research has linked turnover among nurses and other healthcare workers to their generational profile. METHOD: A quantitative study with a correlational descriptive design was used. 1,376 hospital workers of the three generations (with 42.1% nurses, 15.6% support staff, 20.1% office employees, and 22.1% health professionals or technicians), employed in a university-affiliated hospital, completed a self-administered questionnaire. They answered the Psychological Climate Questionnaire and a measure of turnover intention. RESULTS: Generation Y hospital workers obtained a significantly lower score on the "Challenge" scale than did Baby Boomers. On the "Absence of Conflict" and "Warmth" scales, the opposite occurred, with Baby Boomers obtaining a significantly lower score than Generation Y respondents. If the nurse job category is taken separately, Generation Y nurses expressed a negative perception of the "Goal Emphasis" scale, compared with Baby Boomers. The proportion of Generation Y nurses who intend to quit is almost three times higher than that of other hospital workers from Generation Y. The main reason given by workers from Generations Y and X who intend to quit the organization is their own career advancement. The main reason given by Baby Boomers who intend to quit is retirement. CONCLUSIONS: Retention strategies that focus on improving the work climate are beneficial to all generations of hospital workers and nurses. If generation-specific retention strategies are developed, these should focus on the three areas identified to have intergenerational differences: challenges, absence of conflict, and warmth. CLINICAL RELEVANCE: New nurses will benefit from strategies aimed at supporting their career advancement in the workplace.
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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 | 0.001 |
| 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".