Psychiatric Patients: How Can We Decide if You Are in Pain?
Bibliographic record
Abstract
How do psychiatric nurses make decisions about pain management for hospitalized psychiatric patients? This is the question addressed by this research. Using an exploratory, naturalistic interview approach, 20 nurses and managers in varied settings described their decision making when providing pain relief. Analysis of these narratives indicates that decision making about pain, in this unique context, is influenced by a number of intrapersonal and interpersonal factors such as the patients' needs, history, and diagnosis; nurses' beliefs about pain tolerance and drug addiction; collegial pressure; and unit safety. For example, diagnosis and patient history impact pain relief negatively, while the responsibility to maintain a safe environment imposes pressure to administer medication. Although, in a psychiatric unit, the nurse-patient relationship is essential to the healing process, nurses often face a dilemma as to whether the pain medication will contribute to healing or exacerbate the patient's issues. In psychiatric wards, the means of recovery are far less clear, tangible, and immediate than in other clinical settings. Recommendations are made for better preparing and supporting nurses to work effectively in these practice settings where pain relief is confounded by addiction and psychiatric diagnoses.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".