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Record W2233286474 · doi:10.1080/09540121.2015.1131970

Exploring the linkage between exposure to mass media and HIV testing among married women and men in Ghana

2016· article· en· W2233286474 on OpenAlexaff
Yujiro Sano, Alice Pearl Sedziafa, Jonathan Amoyaw, Godfred O. Boateng, Vincent Kuuire, Sheila A. Boamah, Eugena Kwon

Bibliographic record

VenueAIDS Care · 2016
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsMemorial University of NewfoundlandWestern University
Fundersnot available
KeywordsMass mediaHuman immunodeficiency virus (HIV)MedicinePrint mediaDemographyGerontologyEnvironmental healthFamily medicineAdvertisingSociologyNewspaperBusiness

Abstract

fetched live from OpenAlex

Although HIV testing is critical to the treatment and prevention of HIV/AIDS, utilization rate of HIV testing services among married women and men remains low in Ghana. Mass media, as a tool to increase overall HIV testing turnouts, has been considered one of the important strategies in promoting and enhancing behavioural changes related to HIV/AIDS prevention. Using the 2014 Ghana Demographic and Health Survey, the current study examines the relationship between levels of exposure to print media, radio, and television and the uptake of HIV testing among married women and men in Ghana. Results show that HIV testing is more prevalent among married women than their male counterparts. We also find that higher levels of exposure to radio is associated with HIV testing among women, while higher levels of exposure to print media and television are associated with HIV testing among men. Implications of these findings are discussed for Ghana's HIV/AIDS strategic framework, which aims to expanding efforts at dealing with the HIV/AIDS epidemic. Specifically, it is important for health educators and programme planners to deliver HIV-related messages through television, radio, and print media to increase the uptake of HIV testing particularly among married women and men in Ghana.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.164
GPT teacher head0.364
Teacher spread0.200 · 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

Citations34
Published2016
Admission routes1
Has abstractyes

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