Mentorship in Health Care Organizations: Managers’ Perspectives
Bibliographic record
Abstract
A priority for healthcare organizations has been health human resource planning. Employee mentoring is one approach that has been found to contribute to positive workplaces and thus facilitate recruitment and retention of staff. The purpose of this study was to develop a theory of nurse managers' perceptions of their roles in creating mentoring cultures within healthcare organizations. The objectives included: (a) exploring managers' perceptions of their role in creating a mentoring culture, (b) discovering the processes of creating a culture of mentoring, and (c) exploring the organizational features supporting and inhibiting this process of developing a mentoring culture. Glaserian grounded theory was the methodology used to conduct this research and twenty-seven nurse managers were interviewed. Managers believed all employees, from senior leadership to front line employees, needed to be committed to mentoring in order for mentorship to be successful within healthcare organizations and in order for mentoring cultures to be created. Participants identified several strategies that characterized employees’ commitment to mentoring. By implementing these findings, managers can assist to create quality workplaces by increasing job satisfaction and recruitment and retention of employees.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".