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Record W2163850002 · doi:10.1186/1471-2458-13-472

Exploring the adequacy of smoking cessation support for pregnant and postpartum women

2013· article· en· W2163850002 on OpenAlexafffundabout
Tracey Borland, Alexey Babayan, Saeeda Irfan, Robert Schwartz

Bibliographic record

VenueBMC Public Health · 2013
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsCentre for Addiction and Mental HealthOntario Tobacco Research UnitUniversity of Toronto
FundersOntario Ministry of Health and Long-Term Care
KeywordsMedicineSmoking cessationTobacco controlHarm reductionHealth policyPublic healthIncentiveCapacity buildingSocial supportEnvironmental healthBiostatisticsPovertyPopulationNursingEconomic growthPsychologySocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Smoking in pregnancy exemplifies the relationship between tobacco use and health inequalities. While difficulty reaching and engaging this population in cessation support is often highlighted in the literature, there is limited research that explores the factors that shape the provision and use of support by this subpopulation. Using Ontario, Canada, as a case study, this study examines how the use of cessation support by women is encouraged or discouraged by cessation policy, programming and practice; how geographical and sociocultural factors influence provision and uptake of support; and how barriers and challenges can be addressed through a comprehensive approach. METHODS: Semi-structured, in-depth interviews with key informants (31) and pregnant or postpartum women (29) were conducted to examine the cessation needs of this subpopulation, barriers to the provision and uptake of cessation support and directions for policy, service provision and programming. RESULTS: Key barriers included: the absence of a provincial cessation strategy and funding, capacity and engagement/accessibility issues. Geographical features presented additional challenges to provision/uptake, as did the absence of resources tailored to Aboriginal women and adolescents. Key informants recommended a comprehensive cessation strategy to facilitate coordination of cessation resources provincially and locally and elucidated the need for capacity building within tobacco control and within reproductive, child and maternal health. Participants also highlighted the need to further develop tobacco control policies and target the social determinants of health through poverty reduction, housing and education support. The provision of incentives, transportation, childcare and meals/snacks; adoption of woman-centred, harm-reduction and stigma reduction approaches; and promotion of programs through a variety of local venues were recommended by participants to address engagement and accessibility issues. CONCLUSIONS: The current cessation system in Ontario is not equipped to adequately reduce smoking among pregnant and postpartum women. A comprehensive, multi-sector strategy designed to provide tailored and sustainable support through different system entry points is needed. A cultural shift in practice is also necessary to eliminate mixed messaging, strengthen practice and encourage open channels of communication about smoking between women and their providers. The study highlights the need to address smoking among women in a more holistic manner and for capacity building strategies that focus on strengthening providers' competency and confidence in practice. Future research should explore: capacity building strategies, especially among rural and remote communities; the smoking and cessation experiences of different subpopulations of pregnant and postpartum women; the effectiveness of tailored strategies; and interventions that address smoking among partners and other family members.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.155
Threshold uncertainty score0.214

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.173
GPT teacher head0.342
Teacher spread0.169 · 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

Citations53
Published2013
Admission routes3
Has abstractyes

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