Performance Obligations to Improve Delivery of Hospital-Initiated Smoking Cessation Interventions: A Before-and-After Evaluation
Bibliographic record
Abstract
INTRODUCTION: This study evaluated whether introducing performance obligations (a policy intervention) to service agreements between hospitals (n = 15) and their local health authority: (1) improved provision of an evidence-based tobacco cessation intervention (the "Ottawa Model" for Smoking Cessation) and (2) changed the quality of the cessation intervention being delivered. METHODS: Interrupted time series analysis was used to evaluate the change in the proportion of smoker patients provided the Ottawa Model 3 years before and 3 years after introducing the performance obligations. Changes in secondary outcomes related to program quality were described using mean differences, risk differences, and risk ratios, as appropriate. RESULTS: The proportion and number of patients provided the Ottawa Model doubled in the 3-year period following introduction of the new policy-from 3453 patients (33.7%) in the year before to 6840 patients (62.8%) in the final assessment year. This resulted in a signification slope change (+9.2%; 95% confidence interval [CI] 4.5%, 13.9%; p = .01) between the pre- and post-obligation assessment periods, signifying the policy had a positive impact on performance. Quality and effectiveness of the in-hospital intervention remained steady. CONCLUSIONS: Implementation of performance obligations by a healthcare funder increased delivery of an evidence-based smoking cessation intervention across multiple hospitals. Given the known health and economic impacts of smoking cessation interventions, health authorities and hospitals should consider pairing adoption of systematic interventions, like the Ottawa Model, with policy to enhance reach and impact. IMPLICATIONS: • The hospital-based Ottawa Model for Smoking Cessation (OMSC) intervention has been shown to increase smoking abstinence, while reducing mortality and healthcare utilization.• The uptake of systematic, evidence-based interventions, like the OMSC, by hospitals has been relatively low despite the known positive impacts.• The introduction of smoking cessation performance obligations by a healthcare funder resulted in more patients receiving an OMSC intervention while in hospital, with no corresponding change in intervention quality or effectiveness.• Healthcare funders and hospitals should consider pairing the adoption of effective, systematic interventions, like the OMSC, with policy to enhance reach and impact.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".