MétaCan
Menu
Back to cohort
Record W1875612228 · doi:10.1186/s13012-015-0329-7

Empowering smokers with a web-assisted tobacco intervention to use prescription smoking cessation medications: a feasibility trial

2015· article· en· W1875612228 on OpenAlex
Peter Selby, Sarwar Hussain, Sabrina Voci, Laurie Zawertailo

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueImplementation Science · 2015
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsCentre for Addiction and Mental Health
FundersOntario Ministry of Health and Long-Term Care
KeywordsMedicineVareniclineSmoking cessationMedical prescriptionBupropionPrior authorizationFamily medicinePharmacyConfidence intervalInternal medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Varenicline and bupropion, efficacious smoking cessation medications, have had suboptimal impact due to barriers at the patient, practitioner and system level. This study explored the feasibility of a web-assisted tobacco intervention offering free prescription smoking cessation medication by mail if the smoker visited a physician for authorization. METHODS: Adult Ontarians, smoking at least 10 cigarettes daily, intending to quit within 30 days, with no contraindications to bupropion or varenicline were eligible. After an online assessment, eligible participants received an electronic personalized printable prescription form for a 12-week course of varenicline or bupropion to bring to a physician within 3 weeks for authorization, if appropriate. The physician's office faxed prescriptions to an online pharmacy that couriered medication to the patient following medication counselling by telephone. Weekly motivational emails were sent during treatment. Participants were asked to complete follow-up questionnaires online at 7, 11, 15 and 41 weeks after enrollment. RESULTS: In total, 1214 individuals submitted an online assessment from April to September 2010 and 73.6 % (95 % confidence interval (CI) = 71.1-76.1 %; n = 893) were eligible. At least 65.8 % (95 % CI = 62.7-68.9 %; n = 588) of eligible participants subsequently visited a physician and 58.7 % (95 % CI = 55.5-61.9 %; n = 524) received medication (50.6 % varenicline [n = 265] and 49.4 % bupropion [n = 259]). Reasons for not filling a prescription were failure to visit a physician (80.1 %; 95 % CI = 73.8-86.5 %; n = 121), physician not prescribing the medication (15.9 %; 95 % CI = 10.1-21.7 %; n = 24) or other reasons (4.0 %; 95 % CI = 0.9-7.1 %; n = 6). Follow-up response rate was 66.7 % (95 % CI = 63.7-69.8 %; n = 596). Minimal issues were encountered with printing the prescription or medication delivery. CONCLUSIONS: This study establishes the feasibility of using the Internet and free medication to enable smokers to engage physicians to treat this addiction. Implementation of this intervention can be scaled up by leveraging existing healthcare systems to treat smokers on a population level. Further evaluation in a randomized controlled trial is necessary. TRIAL REGISTRATION: ClinicalTrials.gov Identifier NCT01023659.

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 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)0.002
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 score0.035
Threshold uncertainty score0.483

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.220
GPT teacher head0.492
Teacher spread0.272 · 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