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Record W2402993894 · doi:10.1370/afm.1909

Increasing Rates of Tobacco Treatment Delivery in Primary Care Practice: Evaluation of the Ottawa Model for Smoking Cessation

2016· article· en· W2402993894 on OpenAlexaffabout
Sophia Papadakis, Adam G. Cole, Robert D. Reid, Mustafa Coja, Debbie Aitken, Kerri A. Mullen, M. Gharib, Andrew Pipe

Bibliographic record

VenueThe Annals of Family Medicine · 2016
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsUniversity of WaterlooUniversity of Ottawa
Fundersnot available
KeywordsMedicineSmoking cessationPrimary carePsychological interventionFamily medicineCross-sectional studyOdds ratioIntervention (counseling)Tobacco controlOddsLogistic regressionPublic healthNursingInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: We report on the effectiveness of the Ottawa Model for Smoking Cessation (OMSC), a multicomponent knowledge translation intervention, in increasing the rate at which primary care providers delivered smoking cessation interventions using the 3 A's model-Ask, Advise, and Act, and examine clinic-, provider-and patient-level determinants of 3 A's delivery. METHODS: We examined the effect of the knowledge translation intervention in 32 primary care practices in Ontario, Canada, by assessing a cross-sectional sample of patients before the implementation of the OMSC and a second cross-sectional sample following implementation. We used 3-level modeling (clinic, clinician, patient) to examine the main effects and predictors of 3 A's delivery. RESULTS: Four hundred eighty-one primary care clinicians and more than 3,500 tobacco users contributed data to the evaluation. Rates of delivery of the 3 A's increased significantly following program implementation (Ask: 55.3% vs 71.3%, P <.001; Advise: 45.5% vs 63.6%, P <.001; Act: 35.4% vs 54.4%, P <.001). The adjusted odds ratios (AOR) for the delivery of 3 A's between the pre- and post-assessments were AOR = 1.94; (95% CI, 1.61-2.34) for Ask, AOR = 1.92; (95% CI, 1.60-2.29) for Advise, and AOR = 2.03; (95% CI, 1.71-2.42) for Act. The quality of program implementation and the reason for clinic visit were associated with increased rates of 3 A's delivery. CONCLUSIONS: Implementation of the OMSC was associated with increased rates of smoking cessation treatment delivery. High quality implementation of the OMSC program was associated with increased rates of 3 A's delivery.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.403
Threshold uncertainty score0.211

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.318
GPT teacher head0.455
Teacher spread0.137 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations59
Published2016
Admission routes2
Has abstractyes

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