Nurse managers implementing the lean management system: A qualitative study in Western Canada
Bibliographic record
Abstract
AIM: This study explores the perceptions and experiences of nurse managers involved in implementing the Lean management system in a Western Canadian province. BACKGROUND: The provincial government of Saskatchewan, Canada, implemented a multimillion-dollar investment in the Lean management system to transform health care delivery by reducing waste and increasing efficiency of processes and outcomes. METHODS: This qualitative exploratory study employed semi-structured interviews with 14 nurse managers in urban and rural health regions in one Canadian province. RESULTS: Six themes outline the difficulties nurse managers experienced in juggling role responsibilities alongside a poorly implemented change system with scarce resources. CONCLUSION: The results showed tensions in the implementation of a Lean model adapted in the context of health care organisations. The expectations for nurse managers to be pivotal players in the implementation of transformative health care practices that promote and sustain strategies to reduce waste, improve coordination and increase patient safety require investment in leadership development. IMPLICATIONS FOR NURSING MANAGEMENT: Lean management systems significantly impact the roles of nurse managers who require adequate resources and training to successfully adapt. The results of this study may be used for more effective support mechanisms for nurse managers.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".