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Record W2145365922 · doi:10.1186/1472-698x-10-4

The voluntary HIV counselling and testing service in Kenema District, Sierra Leone, 2004-2006: a descriptive study

2010· article· en· W2145365922 on OpenAlexaff
Fiona G. Kouyoumdjian, Alhassan L. Seisay, Brima Kargbo, Sheik Humarr Khan

Bibliographic record

VenueBMC International Health and Human Rights · 2010
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsVoluntary counseling and testingSierra leoneMedicineDescriptive statisticsPublic healthPopulationFamily medicineEnvironmental healthDeveloping countryLogistic regressionData collectionNursingHealth facilityHealth servicesSocioeconomicsSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Voluntary counselling and testing (VCT) is an important component of national HIV programs, which are necessary to realize the right to health. VCT data also provide valuable information on regional HIV epidemiology. METHODS: The study examines data on the population that obtained HIV VCT in Kenema District, Sierra Leone, from 2004 to 2006, using descriptive statistics and exploring potential HIV risk factors using bivariate and multivariable logistic regression. Analysis was performed separately for two subpopulations: those accessing VCT routinely as part of antenatal care and those specifically seeking VCT. RESULTS: During this period, 2230 people accessed VCT: 1213 through antenatal testing and 1017 specifically seeking VCT. The HIV prevalence was 0.6% in women presenting for antenatal care, 12.6% in women specifically accessing VCT, and 6.7% in men specifically accessing VCT. In both bivariate and multivariable analyses, being female was statistically significantly associated with testing positive in people specifically seeking VCT. CONCLUSIONS: These data from the VCT service in Kenema will be used to improve the accessibility of HIV testing. Questions raised by the analysis will be used to enhance data collection and to inform further research on risk factors.

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 score0.123
Threshold uncertainty score1.000

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 studies0.0010.000
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 head0.047
GPT teacher head0.358
Teacher spread0.310 · 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

Citations7
Published2010
Admission routes1
Has abstractyes

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