The intraprofessional and interprofessional relations of neurorehabilitation nurses: a negotiated order perspective
Bibliographic record
Abstract
AIMS: To report a study of the negotiation practices of neurorehabilitation nurses with one another and with allied health professionals to understand nursing relations. BACKGROUND: Negotiated order theory offers a promising theoretical lens with which to explore negotiation between nurses and other professionals. This study is the first to apply the perspective to nurse-nurse and nurse-allied health professional relations. DESIGN: The study is a secondary analysis of findings from a multi-site arts-based intervention to improve patient-centred neurorehabilitation practice. METHODS: Interviews and ethnographic observations were conducted (2008-2011) in two neurorehabilitation units in Ontario, Canada. Participants (n = 31) included registered and practical nurses, nurse leaders, and allied health professionals from physical, occupational, and recreational therapy, speech language pathology, and social work. FINDINGS: Neurorehabilitation nursing is characterized by heavy workload, high patient acuity, and poor interprofessional collaboration. This practice context was negotiated by nurses through two strategies: (1) intraprofessional collegialism, accomplished through tactics including task and knowledge sharing, emotional support, coercive threats, and suppression of dissension; and (2) vying for an autonomous essential nursing role in interprofessional practice, accomplished by claiming unique nursing knowledge based on 24/7 nursing proximity, the expansion of the division of professional labour with allied health professionals and modifying physical therapy care plans. CONCLUSION: The intraprofessional context and negotiations therein were linked in significant ways to interprofessional negotiations. Understanding this complexity has important implications for improving patient safety and interprofessional practice interventions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".