Sexual and reproductive health in Accra, Ghana.
Bibliographic record
Abstract
OBJECTIVE: To describe sexual and reproductive health among women in Accra and explore the burden of sexual and reproductive ill health among this urban population. DESIGN: Cross-sectional study. METHODS: We analysed data from the WHSA-II (n=2814), a cross-sectional household survey on women's health, and supplemental data from an in-depth survey (n=400), focus groups discussions (n=22) and in-depth interviews (n=20) conducted among a sub-sample of women which focused specifically on reproductive health issues. RESULTS: Modern contraceptive use was uncommon. More than one third of women reported ever using abstinence; condoms, injectables and the pill were the most commonly reported modern methods ever used. The total fertility rate among this sample of women was just 2.5 births. We found a considerable burden of sexual and reproductive ill health; one in ten women reported menstrual irregularities and almost one quarter of women reported symptoms of a Sexually Transmitted Infection (STI) or Reproductive Tract Infection (RTI) in the past 6 months. Focus group results and in-depth interviews reveal misperceptions about contraception side-effects and a lack of information. CONCLUSION: In urban Ghana, modern contraceptive use is low and a significant proportion of women experience reproductive ill health (defined here as menstrual irregularity or RTI, UTI, STI symptoms). Increased access to information, products and services about for preventive care and contraception could improve reproductive health. More research on healthy sexuality and the impact of reproductive ill health on sexual experience is 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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".