Integrating a clinical model of smoking cessation into antenatal care
Bibliographic record
Abstract
Smoking rates during pregnancy in Rotherham are high, and between 2007 and 2010 were on an upward trend. Previous local initiatives to address the problem, such as introducing an opt-out pathway and incentive schemes, were not proving effective. In early 2010 NHS Rotherham undertook a major service redesign of the smoking in pregnancy pathway, embedding intensive specialist smoking cessation advice into routine antenatal care. The proportion of pregnant women smokers who set a quit date increased from 33.7% in 2008/09 to 43.9% in 2010/11 (P < 0.05). The percentage of women still smoking at the time of delivery had initially been on an upward trend since 2006/07, reaching a high of 27.3% during 2009/10. This trend has now reversed, falling to 22.4% during 2010/11 and to 19.3% in the first quarter of 2011/12. Embedding stop smoking advice in routine antenatal care has enabled more women to receive a single intensive stop smoking intervention. It has succeeded in engaging women who attend their antenatal scans but have little other interaction with health services. The pathway is achieving better outcomes without requiring additional resources.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".