MétaCan
Menu
Back to cohort
Record W1988470306 · doi:10.12927/whp.2013.23442

Reasons for Inconsistent Condom Use among Female Sex Workers: Need for Integrated Reproductive and Prevention Services

2013· article· en· W1988470306 on OpenAlexfundvenueno aff
Joséphine Aho, Anita Koushik, Sélim Rashed

Bibliographic record

VenueWorld health & population · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsCondomMedicinePsychological interventionLogistic regressionSex workReproductive healthDemographyEnvironmental healthDescriptive statisticsPopulationPromotion (chess)Cross-sectional studyFemale sexDeveloping countryHuman immunodeficiency virus (HIV)Family medicineNursingSyphilis

Abstract

fetched live from OpenAlex

BACKGROUND: Interventions for condom use promotion have been undertaken for HIV prevention among female sex workers (FSWs). Our aims are to (1) assess the frequency of inconsistent condom use with clients and with the main regular non-client sex partner (RNCP); and (2) investigate factors associated with inconsistent condom use with the RNCP, particularly the desire to have children and links of the RNCP with commercial sex work. METHODS: A cross-sectional study was conducted in Conakry, Guinea, among 223 FSWs. A questionnaire on socio-demographic characteristics, behaviours and desire for children was administered. Descriptive statistics and logistic regression were performed. RESULTS: Inconsistent condom use was frequent with the RNCP but rare with the clients (80.4% vs. 1.3%). FSWs' desire for children was strongly associated with inconsistent condom use with the RNCP. CONCLUSION: Interventions that take into account reproductive health are needed to prevent HIV among FSWs and their children.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.043
GPT teacher head0.356
Teacher spread0.313 · 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 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

Citations9
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueWorld health & populationSame topicSex work and related issuesFrench-language works237,207