Nurse managers' ethical conflict with their health care organizations : a New Zealand perspective : a thesis presented in partial fulfillment of the requirements for the degree of Master of Management in Health Service Management at Management at Massey University, Palmerston North, New Zealand
Bibliographic record
Abstract
Immersed in a context of constrained health resources, nurse managers are at great risk of the experience and negative consequences of values clashes and ethical conflict, such as burnout and attrition. Replicating a qualitative descriptive study previously conducted in Canada (Gaudine & Beaton, 2002) this research is aimed at increasing knowledge of the experience of nurse managers’ ethical conflict with their health care organizations in New Zealand. Semi-structured interviews were used to gather data from eight nurse managers in New Zealand, which was analyzed using a general inductive approach to qualitative research. The experience of advocating for values that may be shared by both nursing and the health care organization, such as safety, teamwork and quality patient care, were revealed in the conceptual category of Nursing Management Advocacy. As with their Canadian study counterparts, Isolation was revealed as a key factor that made the experience of ethical conflict worse and involves the social experiences of silencing, employment barriers and invisibility. Support describes the factors that mitigated the experience of ethical conflict and involves personal, professional and organizational support, and are likewise similar to the experiences of Canadian nurse managers. The Bottom Line describes a focal point of the experience of ethical conflict where the health care organizations predominantly fiscal bottom line was confronted and challenged by nurse managers, and where the nurse manager might reach their own bottom line and choose to leave the organization. Being and Becoming Nursing Leaders describes the outcomes of ethical conflict for nurse managers who were not only transformed into nursing leaders, through learning, reflection, and growth but also counted the costs of nursing leadership. This study concludes that supportive colleagues, organizational structures and culture are essential to mitigating the experience of ethical conflict and isolation which nurse managers encounter. The study also concludes that reducing isolation and supporting nurse managers will ensure that nursing values are appropriately represented and articulated in the health care organization’s decision making systems and processes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".