MétaCan
Menu
Back to cohort
Record W2611930650 · doi:10.1186/s12971-017-0129-8

Practices related to tobacco sale, promotion and protection from tobacco smoke exposure in restaurants and bars in Kampala before implementation of the Uganda tobacco control Act 2015

2017· article· en· W2611930650 on OpenAlexaff
Steven Ndugwa Kabwama, Daniel Kadobera, Sheila Ndyanabangi, Kellen Namusisi Nyamurungi, Shannon Gravely, Lindsay Robertson, David Guwatudde

Bibliographic record

VenueTobacco Induced Diseases · 2017
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsOntario Tobacco Research Unit
FundersCenters for Disease Control and PreventionUniversity of Otago
KeywordsTobacco controlEnvironmental healthPromotion (chess)Secondhand smokeTobacco smokeSmokeBusinessAdvertisingMedicinePublic healthGeographyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Background: The Word Health Organization's Framework Convention on Tobacco Control calls on parties to implement evidenced-based tobacco control policies, which includes Article 8 (protect the public from exposure to tobacco smoke), and Article 13 (tobacco advertising, promotion and sponsorship (TAPS)).In 2015, Uganda passed the Tobacco Control Act 2015 which includes a comprehensive ban on smoking in all public places and on all forms of TAPS.Prior to implementation, we sought to assess practices related to protection of the public from tobacco smoke exposure, limiting access to tobacco products and TAPS in restaurants and bars in Kampala City to inform implementation of the new law.Methods: This was a cross-sectional study that used an observational checklist to guide observations.Assessments were: whether an establishment allows for tobacco products to be smoked on premises, offer of tobacco products for sale, observation of tobacco products for sale, tobacco advertising posters, illuminated tobacco advertisements, tobacco promotional items, presence of designated smoking zones, no-smoking signs and posters, and observation of indoor smoking.Managers of establishments were also asked whether they conducted tobacco product sales promotions within establishments.Data were collected in May 2016, immediately prior to implementation of the smoke-free and TAPS laws.Results: Of the 218 establishments in the study, 17% (n = 37) had no-smoking signs, 50% (n = 108) allowed for tobacco products to be smoked on premises of which, 63% (n = 68) had designated smoking zones.Among the respondents in the study, 33.3% (n = 72) reported having tobacco products available for sale of which 73.6% (n = 53) had manufactured cigarettes as the available tobacco products.Eleven percent (n = 24) of respondents said they conducted tobacco promotion within their establishment while 7.9% (n = 17) had promotional items given to them by tobacco companies.Conclusion: Hospitality establishments in Kampala are not protecting the public from tobacco smoke exposure nor adequately limiting access to tobacco products.Effective dissemination of the Tobacco Control Act 2015 is important in ensuring that owners of public places are aware of their responsibility of complying with critical tobacco control laws.This would also likely increase self-enforcement among owners of hospitality establishments and public patrons of the no-smoking restrictions.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.361
Teacher spread0.315 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueTobacco Induced DiseasesSame topicSmoking Behavior and CessationFrench-language works237,207