Contraceptive use following unintended pregnancy among Ugandan women living with HIV
Bibliographic record
Abstract
BACKGROUND: Preventing unintended pregnancy is critical for women living with HIV (WLWH) to safely achieve their reproductive goals. Family planning services should support WLWH at risk of repeat unintended pregnancies. We examined the relationship between unintended pregnancy and subsequent contraception use among WLWH in Uganda. STUDY DESIGN: This was a retrospective analysis of data from a longitudinal cohort of individuals initiating antiretroviral therapy (ART), restricted to women with pregnancy (confirmed via urine β-hcg testing) between 2011-2013. The exposure of interest was intended vs unintended pregnancy, and the outcome was self-report of modern contraceptive use (hormonal methods, intrauterine device, sterilization, and/or consistent condom use) at 12 (range 6-18) months post-partum. A log-binomial model was used to estimate relative risks of modern contraceptive use post-partum based on intent of the index pregnancy, adjusted for age, socioeconomic status, education, relationship and HIV status of pregnancy partner, contraceptive use prior to pregnancy, years since HIV diagnosis, ART regimen, and CD4 cell count. RESULTS: Among 455 women, 110 women reported 110 incident pregnancies with report on intent. Women had a baseline median age of 29 years, baseline CD4 count 403 cells/mm3, and were living with HIV for 3.8 years. Fifty pregnancies (45%) were reported as unintended and 60 (55%) as intended. Postpartum, 64% of women with unintended and 51% with intended pregnancy reported modern contraception (p = 0.24). In adjusted models, there was no association between pregnancy intent and post-partum contraception. However, contraceptive use prior to the referent pregnancy was positively associated with post-partum contraceptive use (aRR 1.97 (95% CI 1.12-3.48, p = 0.02), while higher baseline CD4 cell count was associated with lower post-partum contraceptive use (aRR 0.95, 95% CI 0.90-0.99, p = 0.02). CONCLUSIONS: Almost half of incident pregnancies among WLWH in this cohort were unintended. Experiencing an unintended pregnancy was not associated with post-partum contraceptive use. Creative strategies to support contraceptive uptake for birth spacing and prevention of unintended pregnancies in the post-partum period are needed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".