Bibliographic record
Abstract
Palliative care is an interdisciplinary specialty focused on providing comfort, communication, and support for patients, families, and professional caregivers throughout the course of a life-limiting illness. This chapter discusses assessment and treatment of symptoms and disorders that commonly contribute to patient distress during these illnesses: pain, disorders of the respiratory and gastrointestinal systems, skin disorders, hot flashes, fatigue, pruritis, insomnia, and delirium. This chapter reviews care of the imminently dying patient, discusses methods for assessing patients' symptoms, and provides two examples of valid and reliable symptom measurement systems: the Edmonton Symptom Assessment Scale and the Memorial Symptom Assessment Scale. Achieving symptom control requires the physician to assess patient suffering in all dimensions: physical, psychological, social, and spiritual. The extent of the assessment may be modified, however, based on patients’ prognosis as well as their goals and the burden and benefit of the diagnostic intervention. A 10-step protocol for terminal wean is presented. Signs that patients are entering their final days and symptom management in the last hours of a patient's life are discussed. Tables list the modified Edmonton Symptom Assessment Scale; the Memorial Symptom Assessment Scale; the DOLOPLUS-2 scale (behavioral pain assessment in the elderly); relative potencies of commonly used opioids; conversions between the transdermal fentanyl patch and morphine; symptomatic treatment for dyspnea, cough, and hiccups; pharmacologic treatment of nausea and vomiting; a progressive bowel regimen for patients receiving opioid therapy; treatments for constipation; etiology-based treatment for oral problems; risk factors for pressure ulcers; and applicable medications for physical and psychological sources of distress near the end of life. This chapter contains 12 tables, 120 references, 5 MCQs.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".