Assessing the utility of drug screening in the emergency: a short report
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
Exposure to illicit drugs and alcohol is a major cause for visits to the emergency department (ED).1 For most drugs of abuse intoxication, ED physicians are sceptical to rely on the results of drug screens because immunoassays, although rapid and relatively cheap, have limitations in their sensitivity and specificity, and also carry relatively high rates of false positives and negatives.2 However, as it is often difficult to obtain the history from intoxicated patients, drug screens are still frequently ordered. With the emergence of Choosing Wisely, clinicians are becoming increasingly aware of the need to reduce the ordering of unnecessary tests.3 In this retrospective study, we explored the utility of drug screening in an acute care hospital ED to determine the frequency, patterns, indication and impact of drug screening for patients presenting with a mental health or addiction (MHA) chief complaint. Ethics approval was granted by the institutional review board of the primary research site. The Strengthening the Reporting of Observational Studies in Epidemiology guidelines for observational studies were followed.4 The charts of patients seen in the ED of a local hospital with an MHA chief complaint …
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 | 0.147 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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 it