Reactions of Hospital Staff Nurses to Recruitment Incentives
Bibliographic record
Abstract
In response to the nursing shortage, many hospitals offer sign-on bonuses to attract nurses. There are anecdotal reports that the use of such incentives negatively affects staff nurse morale. The present study is the first to empirically examine the reactions of staff nurses who have not received sign-on bonuses. Most of the 800 surveyed nurses were not opposed to the use of incentives, but almost all were concerned about the potential for negative impact on retention. Compared to nurses working in hospitals that did not offer sign-on bonuses, nurses working in hospitals that offer sign-on bonuses reported higher levels of anger and lower levels of optimism. Greater anger and less optimism were associated with a reduced sense of distributive justice. The less fairly treated nurses felt, the greater likelihood of withdrawal from the hospital. The use of recruitment incentives may result in reduced work effort or loss of experienced nurses, exacerbating the nursing shortage.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".