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Fertility intentions of women of reproductive age living with HIV in British Columbia, Canada

2006· article· en· W1969234611 on OpenAlexaffabout
Gina Ogilvie, Anita Palepu, Valencia P. Remple, Evelyn J. Maan, Kate Heath, Glenda MacDonald, Jan Christilaw, Jonathan Berkowitz, William A. Fisher, David R. Burdge

Bibliographic record

VenueAIDS · 2006
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsWestern UniversityUniversity of British ColumbiaBC Centre for Disease Control
Fundersnot available
KeywordsFertilityDemographyEthnic groupMedicineLogistic regressionMarital statusOddsPublic healthPopulationReproductive healthGerontologyNational Survey of Family GrowthOdds ratioMultivariate analysisHuman immunodeficiency virus (HIV)Family planningEnvironmental healthFamily medicineSociologyResearch methodology

Abstract

fetched live from OpenAlex

BACKGROUND: We undertook a study to examine the fertility intentions and reproductive health issues of women living with HIV in a broad-based sample in British Columbia, Canada. METHODS: Between November 2003 and December 2004, we invited women with HIV at all HIV clinics and AIDS service organizations in the province of British Columbia, Canada, to complete the survey instrument 'Contraceptive Decisions of HIV-positive Women'. Logistic regression analysis was conducted to calculate adjusted odds ratios to identify factors that may be significant predictors of the intention of women living with HIV to have children. RESULTS: Of the 230 surveys completed, 182 women (79.1%) were of reproductive age (<or=44 years), and 25.8% of women living with HIV indicated an intention to have children. In multivariate modeling, non-aboriginal ethnicity, younger age and having a regular partner were associated with an increased likelihood of reporting the intention to have children in the future. DISCUSSION: In this study, we found that the predictors of fertility intention of women with HIV were age, ethnicity and marital status. Women who were HIV-positive described an intention to have children at levels approaching those among the general population and regardless of their clinical HIV status. Public policy planners and health practitioners need to consider and plan for the implications of increased numbers of women with HIV who may choose to have 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 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 score0.019
Threshold uncertainty score0.550

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)0.0010.000

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 head0.009
GPT teacher head0.251
Teacher spread0.241 · 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

Citations109
Published2006
Admission routes2
Has abstractyes

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