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Record W2789569909 · doi:10.1177/2333393618756770

What Are the Perceptions, Experiences, and Behaviors of Health Care Providers After Implementation of a Comprehensive Smoke-Free Hospital Policy?

2018· article· en· W2789569909 on OpenAlexaffabout
Kerrie E. Luck, Shelley Doucet

Bibliographic record

VenueGlobal Qualitative Nursing Research · 2018
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsSaint John Regional HospitalUniversity of New Brunswick
Fundersnot available
KeywordsNursingQualitative researchPerceptionHealth careAction (physics)MedicinePsychologyPolitical scienceSociology

Abstract

fetched live from OpenAlex

The aim of this study was to explore the perceptions, experiences, and behaviors of health care providers (HCPs) after the implementation of a comprehensive smoke-free policy. This qualitative descriptive study, using semi-structured interviews, was conducted with 28 HCPs working in a Canadian hospital. Four overarching themes emerged from the analysis including (a) greater support for tobacco reduction, (b) enhanced patient care and interactions, (c) improved staff morale, and (d) some barriers still exist. The main findings suggest a comprehensive smoke-free hospital environment can strengthen the tobacco-free workplace culture within a hospital setting among HCPs where support for tobacco reduction is amplified, patient care and interactions regarding tobacco dependence are improved, and staff morale is enhanced. While there are still some challenging barriers as well as opportunities for improvements, the implementation of a comprehensive smoke-free policy heightened the call-to-action among HCPs to take a more active role in tobacco reduction.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.807

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.107
GPT teacher head0.547
Teacher spread0.440 · 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 designQualitative
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

Citations5
Published2018
Admission routes2
Has abstractyes

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