An analysis of the recording inpatients in Irish hospitals of tobacco use among.
Bibliographic record
Abstract
Smoking is the largest avoidable cause of premature mortality in the world. Hospital admission is an opportunity to identify and help smokers quit. This study aimed to determine the level of recording of tobacco use (current and past) in Irish hospitals. Information on inpatient discharges with a tobacco use diagnosis was extracted from HIPE. In 2011, a quarter (n=84, 679) of discharges had a recording of tobacco use, which were more common among males (29% (n=50,161) male v. 20% (n=30,162) female), among medical patients (29% (n=54,375) medical v. 20% (n=30,162) other) and was highest among those aged 55-59 years (30.6%; n=7,885). SLAN 2007 reported that 48% of adults had smoked at some point in their lives. This study would suggest an under- reporting of tobacco use among hospital inpatients. Efforts should be made to record smoking status at hospital admission, and to improve the quality of the HIPE coding of tobacco use.
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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 | 0.002 | 0.002 |
| 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".