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Record W2012084318 · doi:10.1016/j.jana.2013.01.003

Listening to Those Who are Living With HIV and Tobacco Dependence and Exploring Their Health Care Context

2013· article· en· W2012084318 on OpenAlexafffundabout
Annette Schultz, Beverley Temple, Caitlan Gibbons, Jocelyn Preston, Gillian Ronson

Bibliographic record

VenueJournal of the Association of Nurses in AIDS Care · 2013
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of ManitobaHealth Sciences Centre
FundersHealth Sciences Centre Foundation
KeywordsFocus groupMedicineContext (archaeology)Human immunodeficiency virus (HIV)Active listeningTobacco useHealth careGerontologyQualitative researchDiseaseFamily medicineEnvironmental healthPsychologyPopulation

Abstract

fetched live from OpenAlex

The emergence of antiretroviral therapies extends the life span of people diagnosed with HIV and shifts health priorities toward chronic disease management. People living with HIV (PLWH) who smoke cigarettes are more likely than nonsmokers to develop health conditions such as pneumonia, cancer, emphysema, and heart disease. Our mixed methods study utilized semi-structured interviews (n = 29) to explore PLWH perceptions of tobacco and its role in their lives. We also explored HIV health care services and tobacco dependence treatment. Local HIV clinic staff (n = 4) participated in interview and focus group discussions that examined their practices and clinic services concerning tobacco dependence treatment. A brief survey of Canadian AIDS Society members shed light on trends in clinic-based tobacco dependence treatments (n = 24). The following themes emerged: competing health priorities for PLWH; interest in quitting; and disconnect between tobacco use, health, and living.

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)0.000
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 score0.249
Threshold uncertainty score0.217

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.025
GPT teacher head0.322
Teacher spread0.297 · 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

Citations11
Published2013
Admission routes3
Has abstractyes

Explore more

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