No place to turn: Nursing students' experiences of moral distress in mental health settings
Bibliographic record
Abstract
While researchers have documented the significant issue of moral distress among nurses, few have explored moral distress among mental health nurses. In addition, no research to date has explored nursing students' experiences of moral distress during mental health clinical rotations, despite nursing students typically reporting negative attitudes towards mental health nursing. This manuscript reports on a qualitative study involving seven Canadian baccalaureate nursing students, who reported on their experiences of moral distress during a 13-week clinical rotation on inpatient psychiatric units. Overall, nursing students reported significant moral distress related to the perceived lack of nurses talking meaningfully to patients on the unit, a hierarchical power structure for physicians, a lack of information given to patients about their psychiatric medications, and an inability of their nursing instructors to advocate for ethical change on the units. Several students made a specific connection between their moral distress and not wanting to pursue a career in mental health nursing.
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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 | 0.009 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.015 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.009 |
| 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".