Unsafe clinical practices as perceived by final year baccalaureate nursing students: Q methodology
Bibliographic record
Abstract
BACKGROUND: Nursing education necessitates vigilance for clinical safety, a daunting challenge given the complex interchanges between students, patients and educators. As active learners, students offer a subjective understanding concerning safety in the practice milieu that merits further study. This study describes the viewpoints of senior undergraduate nursing students about compromised safety in the clinical learning environment. METHODS: Q methodology was used to systematically elicit multiple viewpoints about unsafe clinical learning from the perspective of senior students enrolled in a baccalaureate nursing program offered at multiple sites in Ontario, Canada. Across two program sites, 59 fourth year students sorted 43 theoretical statement cards, descriptive of unsafe clinical practice. Q-analysis identified similarities and differences among participant viewpoints yielding discrete and consensus perspectives. RESULTS: A total of six discrete viewpoints and two consensus perspectives were identified. The discrete viewpoints at one site were Endorsement of Uncritical Knowledge Transfer, Non-student Centered Program and Overt Patterns of Unsatisfactory Clinical Performance. In addition, a consensus perspective, labelled Contravening Practices was identified as responsible for compromised clinical safety at this site. At the other site, the discrete viewpoints were Premature and Inappropriate Clinical Progression, Non-patient Centered Practice and Negating Purposeful Interactions for Experiential Learning. There was consensus that Eroding Conventions compromised clinical safety from the perspective of students at this second site. CONCLUSIONS: Senior nursing students perceive that deficits in knowledge, patient-centered practice, professional morality and authenticity threaten safety in the clinical learning environment. In an effort to eradicate compromised safety associated with learning in the clinical milieu, students and educators must embody the ontological, epistemological and praxis fundamentals of nursing.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.085 | 0.084 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".