Toward interventions to address moral distress
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The concept of moral distress has been the subject of nursing research for the past 30 years. Recently, there has been a call to move from developing an understanding of the concept to developing interventions to help ameliorate the experience. At the same time, the use of the term moral distress has been critiqued for a lack of clarity about the concepts that underpin the experience. DISCUSSION: Some researchers suggest that a closer examination of how socio-political structures influence healthcare delivery will move moral distress from being seen as located in the individual to an experience that is also located in broader healthcare structures. Informed by new thinking in relational ethics, we draw on research findings from neuroscience and attachment literature to examine the reciprocal relationship between structures and agents and frame the experience of moral distress. CONCLUSION: We posit moral distress as a form of relational trauma and subsequently point to the need to better understand how nurses as moral agents are influenced by-and influence-the complex socio-political structures they inhabit. In so doing, we identify this reciprocity as a framework for interventions.
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.
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 | 0.010 | 0.060 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.013 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it