A Qualitative Study of Paramedic Duty to Treat During Disaster Response
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
OBJECTIVES: Disasters place unprecedented demands on emergency medical services and can test paramedics personal commitment as health care professionals. Despite this challenge, guidelines and codes of ethics are largely silent on the issue, providing little to no guidance on what is expected of paramedics or how they ought to approach their duty to treat in the face of risk. The objective of this research is to explore how paramedics view their duty to treat during disasters. METHODS: The authors employed qualitative methods to gather Australian paramedic perspectives. RESULTS: Our findings suggest that paramedic decisions around duty to treat will largely depend on individual perception of risk and competing obligations. A code of ethics for paramedics would be useful, but ultimately each paramedic will interpret these suggested guidelines based on individual values and the situational context. CONCLUSIONS: Coming to an understanding of the legal issues involved and the ethical-social expectations in advance of a disaster may assist paramedics to respond willingly and appropriately. (Disaster Med Public Health Preparedness. 2019;13:191-196).
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it